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Items where Subject is "Q Science > Q Science (General)"
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- Q Science (General) (394)
- Q Science (15832)
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Number of items at this level: 394.
Journal Article
Abascal, Ángela, Rothwell, Natalie, Shonowo, Adenike, Thomson, Dana R., Elias, Peter, Elsey, Helen, Yeboah, Godwin and Kuffer, Monika (2022) “Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy : a scoping review. Computers, Environment and Urban Systems, 93 . 101770. doi:10.1016/j.compenvurbsys.2022.101770
Abba, Mustapha S., Nduka, Chidozie U., Anjorin, Seun S., Mohamed, Shukri F., Agogo, Emmanuel and Uthman, Olalekan A. (2022) One hundred years of hypertension research : a topic modelling study. JMIR Formative Research, 6 (5). e31292. doi:10.2196/31292
Adewoyin, Rilwan A., Dueben, Peter, Watson, Peter, He, Yulan and Dutta, Ritabrata (2022) TRU-NET : a deep learning approach to high resolution prediction of rainfall. Machine Learning, 110 (8). pp. 2035-2062. doi:10.1007/s10994-021-06022-6
Ahmadi-Assalemi, Gabriela, Al-Khateeb, Haider, Epiphaniou, Gregory and Aggoun, Amar (2022) Super learner ensemble for anomaly detection and cyber-risk quantification in industrial control systems. IEEE Internet of Things Journal . doi:10.1109/JIOT.2022.3144127 (In Press)
Akbar, Rahmad, Bashour, Habib, Rawat, Puneet, Robert, Philippe A., Smorodina, Eva, Cotet, Tudor-Stefan, Flem-Karlsen, Karine, Frank, Robert, Mehta, Brij Bhushan, Vu, Mai Ha, Zengin, Talip, Gutierrez-Marcos, José F., Lund-Johansen, Fridtjof, Andersen, Jan Terje and Greiff, Victor (2022) Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs, 14 (1). 2008790. doi:10.1080/19420862.2021.2008790
Al-Amin, Mohammad, Barai, Anup, Ashwin, T. R. and Marco, James (2021) An insight to the degradation behaviour of the parallel connected lithium-ion battery cells. Energies, 14 . 4716. doi:10.3390/en14164716
Allik, J., Lauk, K. and Realo, Anu (2020) Indicators of the scientific impact of nations revisited. Trames, 24 . pp. 231-250. doi:10.3176/tr.2020.2.07
Allik, Jüri, Lauk, Kalmer and Realo, Anu (2020) Factors predicting the scientific wealth of nations. Cross-Cultural Research, 54 (4). pp. 364-397. doi:10.1177/1069397120910982
Allik, Jüri, Lauk, Kalmer and Realo, Anu (2020) The scientific impact derived From the disciplinary profiles. Frontiers in Research Metrics and Analytics, 5 . 569268. doi:10.3389/frma.2020.569268
Almasri, Firas (2022) Simulations to teach science subjects : connections among students’ engagement, self-confidence, satisfaction, and learning styles. Education and Information Technologies . doi:10.1007/s10639-022-10940-w (In Press)
Alvesson, Mats and Sandberg, Jörgen (2020) The problematizing review : a counterpoint to Elsbach and Van Knippenberg’s argument for integrative reviews. Journal of Management Studies, 57 (6). pp. 1290-1304. doi:10.1111/joms.12582
Apanasionok, Magdalena, Hastings, Richard P., Grindle, Corinna, Watkins, Richard C. and Paris, Andreas (2019) Teaching science skills and knowledge to students with developmental disabilities : a systematic review. Journal of Research in Science Teaching, 56 (7). pp. 847-880. doi:10.1002/tea.21531
Armstrong, David J., Pollacco, Don and Santerne, A. (2017) Transit shapes and self organising maps as a tool for ranking planetary candidates : application to Kepler and K2. Monthly Notices of the Royal Astronomical Society, 465 (3). pp. 2634-2642.
Arnold, Eduardo, Dianati, Mehrdad, de Temple, Robert and Fallah, Saber (2022) Cooperative perception for 3D object detection in driving scenarios using infrastructure sensors. IEEE Transactions on Intelligent Transportation Systems, 23 (3). pp. 1852-1864. doi:10.1109/TITS.2020.3028424
Arnold, Eduardo, Mozaffari, Sajjad and Dianati, Mehrdad (2022) Fast and robust registration of partially overlapping point clouds. IEEE Robotics and Automation Letters, 7 (2). pp. 1502-1509. doi:10.1109/LRA.2021.3137888
Auckland, Philip, Roscioli, Emanuele, Coker, H. L. E. and McAinsh, Andrew D. (2020) CENP-F stabilizes kinetochore-microtubule attachments and limits dynein stripping of corona cargoes. Journal of Cell Biology, 219 (5). e201905018. doi:10.1083/jcb.201905018
Badman, Ryan Paul, Hills, Thomas Trenholm and Akaishi, Rei (2020) Multiscale computation and dynamic attention in biological and artificial intelligence. Brain sciences, 10 (6). 396. doi:10.3390/brainsci10060396
Bagues, Manuel F., Sylos-Labini, Mauro and Zinovyeva, Natalia (2019) Connections in scientific committees and applicants’ self-selection : evidence from a natural randomized experiment. Labour Economics, 58 . pp. 81-97. doi:10.1016/j.labeco.2019.04.005
Bagues, Manuel F., Sylos-Labini, Mauro and Zinovyeva, Natalia (2017) Does the gender composition of scientific committees matter? American Economic Review, 107 (4). pp. 1207-1238. doi:10.1257/aer.20151211
Barakat, L., Taylor, Phillip M., Griffiths, Nathan, Taweel, A., Lucas, M. and Miles, S. (2018) Towards personalised and adaptive QoS assessments via context awareness. Computational Intelligence, 34 (2). pp. 468-494. doi:10.1111/coin.12129
Barnard, Trent, Hagan, Harry, Tseng, Steven and Sosso, Gabriele Cesare (2020) Less may be more : an informed reflection on molecular descriptors for drug design and discovery. Molecular Systems Design & Engineering, 5 (1). pp. 317-329. doi:10.1039/C9ME00109C
Bartram, Söhnke M., Branke, Jürgen, De Rossi, Giuliano and Motahari, Mehrshad (2021) Machine learning for active portfolio management. Journal of Financial Data Science, 3 (3). pp. 9-30. doi:10.3905/jfds.2021.1.071
Bartók, Albert P. and Csányi, Gábor (2015) Gaussian approximation potentials : a brief tutorial introduction. International Journal of Quantum Chemistry, 115 (16). pp. 1051-1057. doi:10.1002/qua.24927
Bartók, Albert P., De, Sandip, Poelking, Carl, Bernstein, Noam, Kermode, James R., Csányi, Gábor and Ceriotti, Michele (2017) Machine learning unifies the modeling of materials and molecules. Science Advances, 3 (12). e1701816. doi:10.1126/sciadv.1701816
Bartók, Albert P., Kermode, James R., Bernstein, Noam and Csányi, Gábor (2018) Machine learning a general-purpose interatomic potential for silicon. Physical Review X, 8 (4). 041048 . doi:10.1103/PhysRevX.8.041048
Basik, Fuat, Gedik, Bugra, Etemoglu, Cagri and Ferhatosmanoglu, Hakan (2018) Spatio-temporal linkage over location-enhanced services. IEEE Transactions on Mobile Computing, 17 (2). pp. 447-460. doi:10.1109/TMC.2017.2711027
Bayo, Djénabou, Honecker, Andreas and Roemer, Rudolf A. (2022) Machine learning the 2D percolation model. Journal of Physics: Conference Series, 2207 (1). 012057. doi:10.1088/1742-6596/2207/1/012057
Bellio, Ruggero, Kosmidis, Ioannis, Salvan, Alessandra and Sartori, Nicola (2023) Parametric bootstrap inference for stratified models with high-dimensional nuisance specifications. Statistica Sinica, 33 (3). doi:10.5705/ss.202021.0027 (In Press)
Benetos, Emmanouil, Ragano, Alessandro, Sgroi, Daniel and Tuckwell, Anthony (2022) Measuring national mood with music : using machine learning to construct a measure of national valence from audio data. Behavior Research Methods . doi:10.3758/s13428-021-01747-7 (In Press)
Beynon, Meurig and Russ, Steve (2008) Experimenting with computing. Journal of Applied Logic, Volume 6 (Number 4). pp. 476-489. doi:10.1016/j.jal.2008.09.008
Bianchi, Daniele, Büchner, Matthias and Tamoni, Andrea (2021) Bond risk premiums with machine learning. The Review of Financial Studies, 34 (2). pp. 1046-1089. doi:10.1093/rfs/hhaa062
Borgese, Laura, Bilo, Fabjola, Federici, Stefania, Margui, Eva, Hase, Thomas P. A., Huang, Yuying, Beckhoff, Burkhard and Depero, Laura E. (2020) Summary of ISO standard 20289 : total reflection X‐ray fluorescence analysis of water. Surface and Interface Analysis, 52 (3). pp. 119-123. doi:10.1002/sia.6720
Boutle, Ian, Taylor, Richard H. S. and Roemer, Rudolf A. (2007) El Niño and the delayed action oscillator. American Journal of Physics, Vol.75 (No.1). pp. 15-24. doi:10.1119/1.2358155
Brestovitsky, Anna and Ezer, Daphne (2019) A mass participatory experiment provides a rich temporal profile of temperature response in spring onions. Plant Direct, 3 (3). e00126. doi:10.1002/pld3.126
Bunte, Kerstin, Smith, David J., Chappell, M. J. (Michael J.), Hassan-Smith, Zaki K., Tomlinson, Jeremy W., Arlt, Wiebke and Tiňo, Peter (2018) Learning pharmacokinetic models for in vivo glucocorticoid activation. Journal of Theoretical Biology, 455 . pp. 222-231. doi:10.1016/j.jtbi.2018.07.025
Cabiddu, F., Patriotta, Gerardo and Allen, David G. (2022) Why do users trust algorithms? A review and conceptualization of initial trust and trust over time. European Management Journal . doi:10.1016/j.emj.2022.06.001 (In Press)
Cannizzaro, Sara and Anderson, Myrdene (2021) The end of Sebeok’s century meets twenty-first century pandemic : modeling through and beyond Sebeok’s systems, semiotics, science. Chinese Semiotic Studies, 17 (4). pp. 495-523. doi:10.1515/css-2021-2043
Catalano, Marta, Blasi, Pierpaolo De, Lijoi, Antonio and Prünster, Igor (2022) Posterior asymptotics for boosted Hierarchical Dirichlet Process mixtures. Journal of Machine Learning Research, 23 (80). pp. 1-23.
Challa, Pavan K., Kartanas, Tadas, Charmet, Jérôme and Knowles, Tuomas P. J. (2017) Microfluidic devices fabricated using fast wafer-scale LED-Lithography patterning. Biomicrofluidics, 11 (1). 014113 . doi:10.1063/1.4976690
Chandra, Yatish, Mukhopadhyay, Tanmoy, Adhikari, Sondipon and Figiel, Lukasz (2020) Size-dependent dynamic characteristics of graphene based multi-layer nano hetero-structures. Nanotechnology, 31 (14). 145705. doi:10.1088/1361-6528/ab6231
Chen, Chang-Hui, Brosa Planella, Ferran, O'Regan, Kieran, Gastol, Dominika E., Widanage, Widanalage Dhammika and Kendrick, Emma (2020) Development of experimental techniques for parameterization of multi-scale lithium-ion battery models. Journal of The Electrochemical Society, 167 (8). 080534. doi:10.1149/1945-7111/ab9050
Chen, Shufeng, Khastgir, Siddartha and Jennings, P. A. (Paul A.) (2021) Analyzing national responses to COVID-19 pandemic using STPA. Safety Science, 138 . 105195. doi:10.1016/j.ssci.2021.105195
Cheng, Wei, Rolls, Edmund T., Qiu, Jiang, Liu, Wei, Tang, Yanqing, Huang, ChuChung, Wang, XinFa, Zhang, Jie, Lin, Wei, Zheng, Lirong, Pu, JunCai, Tsai, Shih-Jen, Yang, Albert C., Lin, Ching-Po, Wang, Fei, Xie, Peng and Feng, Jianfeng (2016) Medial reward and lateral non-reward orbitofrontal cortex circuits change in opposite directions in depression. Brain, 139 (12). pp. 3296-3309. doi:10.1093/brain/aww255
Cinelli, Marco, Coles, Stuart R., Nadagouda, M. (Mallikarjuna), Blaszczynski, Jerzy, Slowinski, Roman, Varma, Rajender S. and Kirwan, Kerry (2015) A green chemistry-based classification model for the synthesis of silver nanoparticles. Green Chemistry, Volume 17 . pp. 2825-2839. doi:10.1039/c4gc02088j
Clarté, Grégoire, Robert, Christian P., Ryder, Robin and Stoehr, Julien (2021) Component-wise approximate Bayesian computation via Gibbs-like step. Biometrika, 108 (3). pp. 591-607. asaa090. doi:10.1093/biomet/asaa090
Clough, A. R. and Edwards, R. S. (Rachel S.) (2015) Characterisation of hidden defects using the near-field ultrasonic enhancement of Lamb waves. Ultrasonics, 59 . pp. 64-71. doi:10.1016/j.ultras.2015.01.012
Constantinides, Panos and Fitzmaurice, David A. (2018) Artificial intelligence in cardiology : applications, benefits and challenges. British Journal of Cardiology, 25 (3). pp. 86-87. doi:10.5837/bjc.2018.024
Cook, Sarah, Chan, Hui-Ling, Abolfathi, Soroush, Bending, G. D., Schäfer, Hendrik and Pearson, Jonathan M. (2020) Longitudinal dispersion of microplastics in aquatic flows using fluorometric techniques. Water Research, 170 . 115337. doi:10.1016/j.watres.2019.115337
Cooper, Andrew (2022) Hypotheses in Kant's philosophy of science. Studies in History and Philosophy of Science . doi:10.1016/j.shpsa.2022.04.007 (In Press)
Crevillén-García, David, Leung, Puiki and Shah, Akeel A. (2019) An emulator for kinetic Monte Carlo simulations of kinetically controlled metal electrodeposition. Journal of Physics: Conference Series, 1053 . 012081. doi:10.1088/1742-6596/1053/1/012081
Dawson, Peter Michael, Werkman, Marleen, Brooks-Pollock, Ellen and Tildesley, Michael J. (2015) Epidemic predictions in an imperfect world : modelling disease spread with partial data. Proceedings of the Royal Society B: Biological Sciences, Volume 282 (Number 1808). Article number 20150205. doi:10.1098/rspb.2015.0205
Deb, Sanchari (2021) Machine learning for solving charging infrastructure planning problems : a comprehensive review. Energies, 14 (23). 7833. doi:10.3390/en14237833
Deringer, Volker L., Bartók, Albert P., Bernstein, Noam, Wilkins, David M., Ceriotti, Michele and Csányi, Gábor (2021) Gaussian process regression for materials and molecules. Chemical Reviews, 121 (16). pp. 10073-10141. doi:10.1021/acs.chemrev.1c00022
Dong, Hongyang, Xie, Jingjie and Zhao, Xiaowei (2022) Wind farm control technologies : from classical control to reinforcement learning. Progress in Energy, 4 (3). 032006. doi:10.1088/2516-1083/ac6cc1
Dong, Hongyang, Zhang, Jincheng and Zhao, Xiaowei (2021) Intelligent wind farm control via deep reinforcement learning and high-fidelity simulations. Applied Energy, 292 . 116928. doi:10.1016/j.apenergy.2021.116928
Dong, Hongyang and Zhao, Xiaowei (2021) Composite experience replay based deep reinforcement learning with application in wind farm control. IEEE Transactions on Control Systems Technology . doi:10.1109/TCST.2021.3102476 (In Press)
Dong, Hongyang and Zhao, Xiaowei (2022) Wind-farm power tracking via preview-based robust reinforcement learning. IEEE Transactions on Industrial Informatics, 18 (3). pp. 1706-1715. doi:10.1109/TII.2021.3093300
Dong, Hongyang, Zhao, Xiaowei and Luo, Biao (2022) Optimal tracking control for uncertain nonlinear systems with prescribed performance via critic-only ADP. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52 (1). pp. 561-573. doi:10.1109/TSMC.2020.3003797
Driffield, Nigel L., Love, James H. and Yang, Yong (2016) Reverse international knowledge transfer in the MNE : (where) does affiliate performance boost parent performance? Research Policy, 45 (2). pp. 491-506. doi:10.1016/j.respol.2015.11.004
Drummond, Ross, Cheng, Chuan, Grant, Patrick and Duncan, Stephen (2022) Modelling the impedance response of graded LiFePO4 cathodes for Li-ion batteries. Journal of The Electrochemical Society, 169 (1). 010528. doi:10.1149/1945-7111/ac48c6
Dunbar, Oliver R. A., Dunlop, Matthew M., Elliott, Charles M., Hoang, Viet Ha and Stuart, Andrew M. (2020) Reconciling Bayesian and perimeter regularization for binary inversion. SIAM Journal on Scientific Computing, 42 (4). A1984-A2013. doi:10.1137/18M1179559
Eitzinger, Simon, Asiff, Amina, Watters, Kyle E., Iavarone, Anthony T., Knott, Gavin J., Doudna, Jennifer A. and Minhas, Fayyaz ul Amir Afsar (2020) Machine learning predicts new anti-CRISPR proteins. Nucleic Acids Research, 48 (9). pp. 4698-4708. doi:10.1093/nar/gkaa219
Elliott, Charles M. and Hatcher, L. (2021) Domain formation via phase separation for spherical biomembranes with small deformations. European Journal of Applied Mathematics, 32 (6). pp. 1127-1152. doi:10.1017/S0956792520000297
Fan, Xijian, Luo, Peng, Mu, Yuen, Zhou, Rui, Tjahjadi, Tardi and Ren, Yi (2022) Leaf image based plant disease identification using transfer learning and feature fusion. Computers and Electronics in Agriculture, 196 . 106892. doi:10.1016/j.compag.2022.106892
Fan, Xijian and Tjahjadi, Tardi (2017) A dynamic framework based on local Zernike Moment and motion history image for facial expression recognition. Pattern Recognition, 64 . pp. 399-406. doi:10.1016/j.patcog.2016.12.002
Fan, Xijian and Tjahjadi, Tardi (2015) A spatial-temporal framework based on histogram of gradients and optical flow for facial expression recognition in video sequences. Pattern Recognition, 48 (11). pp. 3407-3416. doi:10.1016/j.patcog.2015.04.025
Fan, Xijian, Zhou, Rui, Tjahjadi, Tardi, Das Choudhury, Sruti and Ye, Qiaolin (2022) A segmentation-guided deep learning framework for leaf counting. Frontiers in Plant Science, 13 . 844522. doi:10.3389/fpls.2022.844522
Faraji Niri, Mona, Liu, Kailong, Apachitei, Geanina, Lain, Michael J., Widanage, Widanalage Dhammika and Marco, James (2022) Quantifying key factors for optimised manufacturing of Li-ion battery anode and cathode via artificial intelligence. Energy and AI, 100 . 100129. doi:10.1016/j.egyai.2021.100129
Faraji Niri, Mona, Mafeni Mase, Jimiama and Marco, James (2022) Performance evaluation of convolutional auto encoders for the reconstruction of Li-ion battery electrode microstructure. Energies, 15 (12). pp. 4489-4509. doi:10.3390/en15124489
Fatima, Asra, Li, Ying, Hills, Thomas Trenholm and Stella, Massimo (2021) DASentimental : detecting depression, anxiety, and stress in texts via emotional recall, cognitive networks, and machine learning. Big Data and Cognitive Computing, 5 (4). e77. doi:10.3390/bdcc5040077
Feeney, Andrew, Kang, Lei, Somerset, William and Dixon, Steve M. (2019) The influence of air pressure on the dynamics of flexural ultrasonic transducers. Sensors, 19 (21). pp. 1-16. 4710. doi:10.3390/s19214710
Fei, Xin, Gulpinar, Nalan and Branke, Jürgen (2019) Efficient solution selection for two-stage stochastic programs. European Journal of Operational Research, 277 (3). pp. 918-929. doi:10.1016/j.ejor.2019.02.015
Feillet, Céline, Horst, Gijsbertus Theodorus Johannes van der, Lévi, Francis A., Rand, D. A. and Delaunay, Franck (2015) Coupling between the circadian clock and cell cycle oscillators : implication for healthy cells and malignant growth. Frontiers in Neurology, Volume 6 . Article number 96. doi:10.3389/fneur.2015.00096
Fischer, Isabel, Beswick, Claire and Newell, Sue (2021) Rho AI – Leveraging artificial intelligence to address climate change : financing, implementation and ethics. Journal of Information Technology Teaching Cases, 11 (2). pp. 110-116. doi:10.1177/2043886920961782
Fox, John, Khan, Omar, Curtis, Hywel, Wright, Andrew, Pal, Carla, Cockburn, Neil, Cooper, Jennifer, Chandan, Joht S. and Nirantharakumar, Krishnarajah (2021) Rapid translation of clinical guidelines into executable knowledge : a case study of COVID-19 and online demonstration. Learning Health Systems, 5 (1). e10236. doi:10.1002/lrh2.10236
Frazier, David T., Robert, Christian P. and Rousseau, Judith (2020) Model misspecification in approximate Bayesian computation : consequences and diagnostics. Journal of the Royal Statistical Society Series B: Statistical Methodology, 82 (2). pp. 421-444. doi:10.1111/rssb.12356
Froud, Robert J., Hansen, Solveig Hakestad, Ruud, Hans Kristian, Foss, Jonathan G. K., Ferguson, Leila and Fredriksen, Per Morten (2021) Relative performance of machine learning and linear regression in predicting quality of life and academic performance of school children in Norway : data analysis of a quasi-experimental study. Journal of Medical Internet Research, 23 (7). 22021. doi:10.2196/22021
Fuller, Steve (2012) CSI : Kuhn and Latour. Social Studies of Science, Vol.42 (No.3). pp. 429-434. doi:10.1177/0306312712437228
Fuller, Steve (2007) Science democratised = expertise decommissioned. Spontaneous Generations: A Journal for the History and Philosophy of Science, Vol.1 (No.1).
Fuller, Steve (2008) Science studies goes public: a report on an ongoing performance. Spontaneous Generations: A Journal for the History and Philosophy of Science, Vol.2 (No.1). pp. 11-21.
Fuller, Steve (2011) Why does history matter to the science studies disciplines? : a case for giving the past back its future. Journal of the Philosophy of History, Vol.5 (No.3). pp. 562-585. doi:10.1163/187226311X599952
Fuller, Steve (2012) The art of being human : a project for general philosophy of science. Journal for General Philosophy of Science, Vol.43 (No.1). pp. 113-123. doi:10.1007/s10838-012-9181-5
Garriga, Roger, Mas, Javier, Abraha, Semhar, Nolan, Jon, Harrison, Oliver, Tadros, George and Matic, Aleksandar (2022) Machine learning model to predict mental health crises from electronic health records. Nature Medicine, 28 (6). pp. 1240-1248. doi:10.1038/s41591-022-01811-5
Gastegger, Michael, McSloy, Adam, Luya, Michael, Schütt, Kristof and Maurer, Reinhard J. (2020) A deep neural network for molecular wave functions in quasi-atomic minimal basis representation. Journal of Chemical Physics, 153 (4). 0444123. doi:10.1063/5.0012911
Gavard, Remy, Palacio Lozano, Diana Catalina, Guzman, Alexander, Rossell, David, Spencer, Simon E. F. and Barrow, Mark P. (2019) Rhapso : automatic stitching of mass segments from fourier transform ion cyclotron resonance mass spectra. Analytical Chemistry, 91 (23). pp. 15130-15137. doi:10.1021/acs.analchem.9b03846
Gkiokas, Alexandros and Cristea, Alexandra I. (2018) Cognitive agents and machine learning by example : representation with conceptual graphs. Computational Intelligence, 34 (2). pp. 603-634. doi:10.1111/coin.12167
Goldsborough, Andrew M., Rautu, Stefan Alexandru and Römer, Rudolf A. (2015) Leaf-to-leaf distances and their moments in finite and infinite m-ary tree graphs. Journal of physics A : mathematical and theoretical, 91 . pp. 1-9. 042133. doi:10.1103/PhysRevE.91.042133
Goryaeva, Alexandra M., Dérès, Julien, Lapointe, Clovis, Grigorev, Petr, Swinburne, Thomas D., Kermode, James R., Ventelon, Lisa, Baima, Jacopo and Marinica, Mihai-Cosmin (2021) Efficient and transferable machine learning potentials for the simulation of crystal defects in bcc Fe and W. Physical Review Materials, 5 (10). 103803. doi:10.1103/PhysRevMaterials.5.103803
Gozluklu, Arie E. (2016) Pre-trade transparency and informed trading : experimental evidence on undisclosed orders. Journal of Financial Markets , 28 . pp. 91-115. doi:10.1016/j.finmar.2016.03.003
Graham, Simon, Vu, Quoc Dang, Raza, Shan E. Ahmed, Azam, Ayesha, Tsang, Yee Wah, Kwak, Jin Tae and Rajpoot, Nasir M. (Nasir Mahmood) (2019) Hover-Net : simultaneous segmentation and classification of nuclei in multi-tissue histology images. Medical Image Analysis, 58 . 101563. doi:10.1016/j.media.2019.101563
Greenhalgh, Trisha, Shaw, Sara, Wherton, Joe, Hughes, Gemma, Lynch, Jenni, A'Court, Christine, Hinder, Sue, Fahy, Nick, Byrne, Emma, Finlayson, Alexander, Sorell, Tom, Procter, Rob and Stones, Rob (2016) SCALS : a fourth-generation study of assisted living technologies in their organisational, social, political and policy context. BMJ Open, 6 (2). e010208. doi:10.1136/bmjopen-2015-010208
Greenhalgh, Trisha, Wherton, Joe, Papoutsi, Chrysanthi, Lynch, Jenni, Hughes, Gemma, A'Court, Christine , Hinder, Sue, Procter, Rob and Shaw, Sara (2018) Analysing the role of complexity in explaining the fortunes of technology programmes : empirical application of the NASSS framework. BMC Medicine, 16 (1). 66. doi:10.1186/s12916-018-1050-6
Gregory, Robert Wayne, Henfridsson, Ola, Kaganer, Evgeny and Kyriakou, Harris (2021) The role of artificial intelligence and data network effect for creating user value. Academy of Management Review, 46 (3). pp. 534-551. doi:10.5465/amr.2019.0178
Gull, Sadaf and Minhas, Fayyaz ul Amir Afsar (2022) AMP0 : species-specific prediction of anti-microbial peptides using zero and few shot learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19 (1). pp. 275-283. doi:10.1109/TCBB.2020.2999399
Hargreaves, Katherine R., Otieno, James R., Thanki, Anisha, Blades, Matthew J., Millard, Andrew D., Browne, Hilary P., Lawley, Trevor D. and Clokie, Martha R. J. (2015) As clear as mud? Determining the diversity and prevalence of prophages in the draft genomes of estuarine isolates of Clostridium difficile. Genome Biology and Evolution, Volume 7 (Number 7). pp. 1842-1855. doi:10.1093/gbe/evv094
Haworth, Claire M. A., Davis, Oliver S. P., Hanscombe, Ken B., Kovas, Yulia, Dale, Philip S. and Plomin, Robert (2013) Understanding the science-learning environment : a genetically sensitive approach. Learning and Individual Differences, Volume 23 (Number 100). pp. 145-150. doi:10.1016/j.lindif.2012.07.018
Hoang, Tiep M., Dinh-Van, Son, Barn, Balbir, Trestian, Ramona and Nguyen, Huan X. (2022) RIS-aided smart manufacturing : information transmission and machine health monitoring. IEEE Internet of Things Journal . doi:10.1109/JIOT.2022.3187189 (In Press)
Hoenen, Sebastian and Kolympiris, Christos (2020) The value of insiders as mentors : evidence from the effects of NSF rotators on early career scientists. Review of Economics and Statistics, 102 (5). pp. 852-866. doi:10.1162/rest_a_00859
Hong, Yiguo and Jackson, Stephen D. (2015) Floral induction and flower formation : the role and potential applications of miRNAs. Plant Biotechnology Journal, 13 (3). pp. 282-292. doi:10.1111/pbi.12340
Horton, Joanne, Krishna Kumar, Dhanya and Wood, Anthony (2020) Detecting academic fraud using Benford Law : the case of Professor James Hunton. Research Policy, 49 (8). 104084. doi:10.1016/j.respol.2020.104084
Hou, Lei, Cheng, Yiyan, Wang, Xiaoyu, Ren, Jianhua and Geng, Xueyu (2022) Effect of slickwater-alternate-slurry injection on proppant transport at field scales : a hybrid approach combining experiments and deep learning. Energy, 242 . 122987. doi:10.1016/j.energy.2021.122987
Housley, William, Webb, Helena, Edwards, Adam, Procter, Rob and Jirotka, Marina (2017) Digitizing Sacks? Approaching social media as data. Qualitative Research, 17 (6). pp. 627-644. doi:10.1177/1468794117715063
Houssein, Essam H., Deb, Sanchari, Oliva, Diego, Rezk, Hegazy, Alhumade, Hesham and Said, Mokhtar (2021) Performance of gradient-based optimizer on charging station placement problem. Mathematics, 9 (21). 2821. doi:10.3390/math9212821
Huang, Chi-En, Li, Yung-Hui, Aslam, Muhammad Saqlain and Chang, Ching-Chun (2021) Super-resolution generative adversarial network based on the dual dimension attention mechanism for biometric image super-resolution. Sensors, 21 (23). e7817. doi:10.3390/s21237817
Hunt, William, Sarkar, Sudipa and Warhurst, Christopher (2022) Measuring the impact of AI on jobs at the organization level : lessons from a survey of UK business leaders. Research Policy, 51 (2). 104425. doi:10.1016/j.respol.2021.104425
Hutchins, David A., Yang, J., Akanji, Omololu, Thomas, P. J. (Peter J.), Davies, L. A. J., Freear, Steven, Harput, Sevan, Saffari, Nader and Gelat, Pierre (2015) Evolution of ultrasonic impulses in chains of spheres using resonant excitation. EPL (Europhysics Letters) , 109 (5). Article number 54002. doi:10.1209/0295-5075/109/54002
Jackson, Robert (2018) Paradigm shift in religious education? A reply to Gearon, or when is a paradigm not a paradigm? Journal of Beliefs and Values, 39 (3). pp. 379-395. doi:10.1080/13617672.2018.1469327
Jensen, Eric (2015) Evaluating impact and quality of experience in the 21st century : using technology to narrow the gap between science communication research and practice. JCOM: Journal of Science Communication, 14 (3). pp. 1-9.
Jensen, Eric (2016) Evaluating indicator-based methods of ‘measuring long-term impacts of a science center on its community’. Journal of Research in Science Teaching, 53 (1). pp. 60-64. doi:10.1002/tea.21297
Jensen, Eric and Buckley, Nicola (2014) Why people attend science festivals : interests, motivations and self-reported benefits of public engagement with research. Public Understanding of Science, Volume 23 (Number 5). pp. 557-573. doi:10.1177/0963662512458624
Jensen, Eric and Holliman, Richard (2016) Norms and values in UK science engagement practice. International Journal of Science Education, Part B, 6 (1). pp. 68-88. doi:10.1080/21548455.2014.995743
Jensen, Eric, Reed, Mark, Jensen, Aaron and Gerber, Alexander (2021) Evidence-based research impact praxis : integrating scholarship and practice to ensure research benefits society [version 1; peer review: awaiting peer review]. Open Research Europe, 1 . 137. doi:10.12688/openreseurope.14205.1
Jensen, Eric A., Wong, Paul and Reed, Mark S. (2022) How research data deliver non-academic impacts : A secondary analysis of UK Research Excellence Framework impact case studies. PLoS One, 17 (3). e0264914. doi:10.1371/journal.pone.0264914
Jiang, Binyan, Wang, Xiangyu and Leng, Chenlei (2018) A direct approach for sparse quadratic discriminant analysis. Journal of Machine Learning Research, 19 (31). pp. 1-37.
Jiang, R., Proprentner, Daniela, Callisti, M., Shollock, Barbara A., Hu, X. T., Song, Y. D. and Reed, P. A. S. (2018) Role of oxygen in enhanced fatigue cracking in a PM Ni-based superalloy : stress assisted grain boundary oxidation or dynamic embrittlment? Corrosion Science, 139 . pp. 141-154. doi:10.1016/j.corsci.2018.05.001
IMAGEN Consortium (Including: Jiao, Zeyu, Lai, Yinglei, Kang, Jujiao, Gong, Weikang, Ma, Liang, Jia, Tianye, Xie, Chao, Xiang, Shitong, Cheng, Wei, Heinz, Andreas, Desrivières, Sylvane, Schumann, Gunter, Sun, Fengzhu and Feng, Jianfeng). (2022) A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies. NeuroImage, 255 . 119166. doi:10.1016/j.neuroimage.2022.119166
Jilka, Sagar, Odoi, Clarissa Mary, van Bilsen, Janet, Morris, Daniel, Erturk, Sinan, Cummins, Nicholas, Cella, Matteo and Wykes, Til (2022) Identifying schizophrenia stigma on Twitter : a proof of principle model using service user supervised machine learning. Schizophrenia, 8 . 1. doi:10.1038/s41537-021-00197-6
(2019) Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nature Genetics, 51 (2). pp. 245-257. doi:10.1038/s41588-018-0309-3
Karr, Jonathan, Sheriff, Rahuman S. Malik, Osborne, James, Gonzalez-Parra, Gilberton, Forgoston, Eric, Bowness, Ruth, Liu, Yaling, Thompson, Robin N., Garira, Winston , Barhak, Jacob, Rice, John, Torres, Marcella, Dobrovolny, Hana Maria, Tang, Tingting, Waites, William , Glazier, James A., Faeder, James and Kulesza, Alexander (2022) Model integration in computational biology : the role of reproducibility, credibility and utility. Frontiers in Systems Biology, 2 . 822606. doi:10.3389/fsysb.2022.822606
Kennedy, Eric B., Jensen, Eric and Verbeke, Monae (2018) Preaching to the scientifically converted : evaluating inclusivity in science festival audiences. International Journal of Science Education, Part B, 8 (1). pp. 14-21. doi:10.1080/21548455.2017.1371356
Khan, Saiful, Nguyen, Phong. H., Abdul-Rahman, Alfie, Benjamin, Bach, Chen, Min, Freeman, Euan and Turkay, Cagatay (2022) Propagating visual designs to numerous plots and dashboards. IEEE Transactions on Visualization and Computer Graphics, 28 (1). pp. 86-95. doi:10.1109/TVCG.2021.3114828
Khosravi, A., Malekan, M., Pabon, J. J. G., Zhao, Xiaowei and Assad, M. E. H. (2020) Design parameter modelling of solar power tower system using adaptive neuro-fuzzy inference system optimized with a combination of genetic algorithm and teaching learning-based optimization algorithm. Journal of Cleaner Production, 244 . 118904. doi:10.1016/j.jclepro.2019.118904
Khovanov, I. A. (2021) Stochastic approach for assessing the predictability of chaotic time series using reservoir computing. Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (8). 083105. doi:10.1063/5.0058439
Khovanov, I. A., Perry, S. and Khovanova, N. A. (2022) Asymmetry of synchronisation tongue in persistent sodium plus potassium neuron model. Communications in Nonlinear Science and Numerical Simulation, 105 . 106071. doi:10.1016/j.cnsns.2021.106071
Kilbride, A. L. (Amy L.), Mendl, M. (Michael), Statham, Poppy, Held, S., Harris, M., Marchant-Forde, J., Booth, H. and Green, Laura E. (2014) Risks associated with preweaning mortality on 39 commercial outdoor pig farms in England. Preventive Veterinary Medicine, Volume 1 (Number 117). pp. 189-199.
Kilinc, Ozsel and Montana, Giovanni (2022) Reinforcement learning for robotic manipulation using simulated locomotion demonstrations. Machine Learning, 111 . pp. 465-486. doi:10.1007/s10994-021-06116-1
Kilkenny, Carol, Parsons, Nicholas R., Kadyszewski, Ed, Festing, Michael F. W., Cuthill, Innes C., Fry, Derek, Hutton, Jane and Altman, Douglas G. (2009) Survey of the quality of experimental design, statistical analysis and reporting of research using animals. PL o S One, Vol.4 (No.11). Article no. e7824. doi:10.1371/journal.pone.0007824
Kiraci, Ercihan, Franciosa, Pasquale, Turley, Glen A., Olifent, Alan, Attridge, Alex and Williams, M. A. (2017) Moving towards in-line metrology : evaluation of a Laser Radar system for in-line dimensional inspection for automotive assembly systems. International Journal of Advanced Manufacturing Technology, 91 (1-4). pp. 69-78. doi:10.1007/s00170-016-9696-8
Klebanov, Ilja, Sprungk, Björn and Sullivan, Tim J. (2021) The linear conditional expectation in Hilbert space. Bernoulli, 27 (4). pp. 2267-2299. doi:10.3150/20-BEJ1308
Kommuri, Naga Kavitha, McGordon, Andrew, Allen, A. J. and Truong, Dinh Quang (2020) Evaluation of a modified equivalent fuel-consumption minimization strategy considering engine start frequency and battery parameters for a plugin hybrid two-wheeler. Energies, 13 (12). 3122. doi:10.3390/en13123122
Koohbanani, Navid Alemi, Jahanifar, Mostafa, Tajadin, Neda Zamani and Rajpoot, Nasir M. (Nasir Mahmood) (2020) NuClick : a deep learning framework for interactive segmentation of microscopic images. Medical Image Analysis, 65 . 101771. doi:10.1016/j.media.2020.101771
Kourra, Nadia, Warnett, Jason M., Attridge, Alex, Kiraci, Ercihan, Gupta, Aniruddha, Barnes, Stuart and Williams, M. A. (Mark A.) (2015) Metrological study of CFRP drilled holes with x-ray computed tomography. The International Journal of Advanced Manufacturing Technology, 78 (9-12). pp. 2025-2035. doi:10.1007/s00170-014-6734-2
Krishna, M., Wills, R. G. A., Shah, Akeel A., Hall, D. and Collins, J. (2018) The separator-divided soluble lead flow battery. Journal of Applied Electrochemistry, 48 (9). pp. 1031-1041. doi:10.1007/s10800-018-1230-2
(2022) Roadmap on machine learning in electronic structure. Electronic Structure . doi:10.1088/2516-1075/ac572f (In Press)
Lafuerza, Luis F., Dyson, Louise, Edmonds, Bruce and McKane, Alan J. (2016) Staged models for interdisciplinary research. PLoS One, 11 (6). e0157261. doi:10.1371/journal.pone.0157261
Lameira, Adriano R. and Call, Josep (2018) Time-space-displaced responses in the orangutan vocal system. Science Advances, 4 (11). eaau3401. doi:10.1126/sciadv.aau3401
Legkovskis, Marks, Thomas, Peter J. and Auinger, Michael (2022) Uncertainty quantification of time-dependent quantities in a system with adjustable level of smoothness. Verification, Validation and Uncertainty Quantification, 7 (1). 011005. doi:10.1115/1.4053161
Legrand, Timothy and Stone, Diane (2018) Science diplomacy and transnational governance impact. British Politics, 13 . pp. 392-408. doi:10.1057/s41293-018-0082-z
Lejeune, Miguel, Lozin, Vadim V., Lozina, Irina, Ragab, Ahmed and Yacout, Soumaya (2019) Recent advances in the theory and practice of logical analysis of data. European Journal of Operational Research, 275 (1). pp. 1-15. doi:10.1016/j.ejor.2018.06.011
Li, Jintao, Schnyder, Simon K., Turner, Matthew S. and Yamamoto, Ryoichi (2021) Role of the cell cycle in collective cell dynamics. Physical Review X, 11 (3). 031025. doi:10.1103/PhysRevX.11.031025
Li, Luyang, He, Ligang, Gao, Jinjin and Han, Xie (2022) PSNet : fast data structuring for hierarchical deep learning on point cloud. IEEE Transactions on Circuits and Systems for Video Technology . doi:10.1109/TCSVT.2022.3171968 (In Press)
(2010) Systematic integration of experimental data and models in systems biology. BMC Bioinformatics, 11 . 582. doi:10.1186/1471-2105-11-582
Li, Rui, Zhang, Jincheng and Zhao, Xiaowei (2022) Dynamic wind farm wake modeling based on a bilateral convolutional neural network and high-fidelity LES data. Energy . 124845. (In Press)
Liang, Yanchang, Zhao, Xiaowei and Sun, Li (2022) A multi-agent reinforcement learning approach for wind farm frequency control. IEEE Transactions on Industrial Informatics . pp. 1-10. doi:10.1109/TII.2022.3182328 (In Press)
Liebe, Ulf, Gewinner, Jennifer and Diekmann, Andreas (2018) What is missing in research on non-monetary incentives in the household energy sector? Energy Policy, 123 . pp. 180-183. doi:10.1016/j.enpol.2018.08.036
Lin, Xufeng and Li, Chang-Tsun (2017) Large-scale image clustering based on camera fingerprints. IEEE Transactions on Information Forensics and Security, 12 (4). pp. 793-808. doi:10.1109/TIFS.2016.2636086
Lin, Xufeng and Li, Chang-Tsun (2016) Preprocessing reference sensor pattern noise via spectrum equalization. IEEE Transactions on Information Forensics and Security, 11 (1). pp. 126-140. doi:10.1109/TIFS.2015.2478748
Liu, Chenguang, Chen, Yunfei and Yang, Shuang-Hua (2022) Deep learning based detection for communications systems with radar interference. IEEE Transactions on Vehicular Technology, 71 (6). pp. 6245-6254. doi:10.1109/TVT.2022.3158692
Liu, Yang, Gao, Xinbo, Gan, Quanxue, Shao, Ling and Han, Jungong (2019) Adaptive robust principal component analysis. Neural Networks, 119 . pp. 85-92. doi:10.1016/j.neunet.2019.07.015
Liu, Zipeng, Chen, Huan, Zheng, Bo, Xie, Fengwei and Chen, Ling (2020) Understanding the structure and rheological properties of potato starch induced by hot-extrusion 3D printing. Food Hydrocolloids, 105 . 105812. doi:10.1016/j.foodhyd.2020.105812
Lobo, Viviana G. R., Fonseca, Thaís C. O. and Fernando, A. S. Moura (2020) Bayesian cross-validation of geostatistical models. Spatial Statistics, 35 . 100394. doi:10.1016/j.spasta.2019.100394
Loi, Chek-Kim, Lim, Jason Miin-Hwa and Wharton, Sue (2016) Expressing an evaluative stance in English and Malay research article conclusions : international publications versus local publications. Journal of English for Academic Purposes, 21 . doi:10.1016/j.jeap.2015.08.004
Longshaw, S. M., Borg, M. K., Ramisetti, S. B., Zhang, J., Lockerby, Duncan A., Emerson, D. R. and Reese, J. M. (2018) mdFoam+ : advanced molecular dynamics in OpenFOAM. Computer Physics Communications, 224 . pp. 1-21. doi:10.1016/j.cpc.2017.09.029
Lowe-Power, Tiffany, Dyson, Louise and Polter, Abigail M. (2021) A generation of junior faculty is at risk from the impacts of COVID-19. PLoS Biology, 19 (5). e3001266. doi:10.1371/journal.pbio.3001266
Lozano, Jean-Claude, Schatt, Philippe, Botebol, Hugo, Verge, Valerie, Lesuisse, Emmanuel, Blain, Stephane, Carré, Isabelle A. and Bouget, Francois-Yves (2014) Efficient gene targeting and foreign DNA removal by homologous recombination in the picoeukaryote Ostreococcus. Plant Journal, Volume 78 (Number 6). pp. 1073-1083.
Lucu, M., Martinez-Laserna, E., Gandiaga, I., Liu, Kailong, Camblong, H., Widanage, Widanalage Dhammika and Marco, James (2020) Data-driven nonparametric Li-ion battery ageing model aiming at learning from real operation data – Part A : storage operation. Journal of Energy Storage, 30 . 101409. doi:10.1016/j.est.2020.101409
Luo, Man, Du, Bowen, Klemmer, Konstantin, Zhu, Hongming and Wen, Hongkai (2022) Deployment optimization for shared e-mobility systems with multi-agent deep neural search. IEEE Transactions on Intelligent Transportation Systems, 23 (3). pp. 2549-2560. doi:10.1109/TITS.2021.3125745
Lusczek, Elizabeth R., Vincente, Tyrone, Lexcen, Daniel, Kulkarni, Vishwesh V., Mulier, Kristine and Beilman, Greg (2015) Metabolic networks in a porcine model of trauma and hemorrhagic shock demonstrate different control mechanism with carbohydrate pre-feed. BMC Emergency Medicine, 15 (13). pp. 1-7. doi:10.1186/s12873-015-0038-1
Lutton, E. Josiah, Collier, Sharon and Bretschneider, Till (2021) A curvature-enhanced random walker segmentation method for detailed capture of 3D cell surface Membranes. IEEE Transactions on Medical Imaging, 40 (2). pp. 514-526. doi:10.1109/TMI.2020.3031029
Lv, Yongfeng, Na, Jing, Zhao, Xiaowei, Huang, Yingbo and Ren, Xuemei (2022) Multi-H∞ controls for unknown input-interference nonlinear system with reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems . pp. 1-13. doi:10.1109/TNNLS.2021.3130092 (In Press)
MacKay, Robert S. and Strub, Dayal C. (2014) Bifurcations of transition states : morse bifurcations. Nonlinearity, Volume 27 (Number 5). pp. 859-895. doi:10.1088/0951-7715/27/5/859
Mahmood, H., Shaban, Muhammad, Indave, B.I., Santos-Silva, A.R., Rajpoot, Nasir M. (Nasir Mahmood) and Khurram, S.A. (2020) Use of artificial intelligence in diagnosis of head and neck precancerous and cancerous lesions : a systematic review. Oral Oncology, 110 . 104885. doi:10.1016/j.oraloncology.2020.104885
Mariam, Komal, Afzal, Osama Mohammed, Hussain, Wajahat, Javed, Muhammad Umar, Kiyani, Amber, Rajpoot, Nasir M. (Nasir Mahmood), Khurram, Syed Ali and Khan, Hassan Aqeel (2022) On smart gaze based annotation of histopathology images for training of deep convolutional neural networks. IEEE Journal of Biomedical and Health Informatics . doi:10.1109/JBHI.2022.3148944
Marnerides, Demetris, Bashford-Rogers, Thomas and Debattista, Kurt (2021) Deep HDR hallucination for inverse tone mapping. Sensors, 21 (12). 4032. doi:10.3390/s21124032
Marnerides, Demetris, Bashford-Rogers, Thomas, Hatchett, Jonathan and Debattista, Kurt (2018) ExpandNet : a deep convolutional neural network for high dynamic range expansion from low dynamic range content. Computer Graphics Forum, 37 (2). pp. 37-49. doi:10.1111/cgf.13340
Marres, Noortje (2020) For a situational analytics : an interpretative methodology for the study of situations in computational settings. Big Data & Society, 7 (2). pp. 1-9. doi:10.1177/2053951720949571
Marres, Noortje and de Rijcke, Sarah (2020) From indicators to indicating interdisciplinarity : a participatory mapping methodology for research communities in-the-making. Quantitative Science Studies, 1 (3). pp. 1041-1055. doi:10.1162/qss_a_00062
Martin, Lee, Wilson, Nick and Fleetwood, Steve (2014) Organizing for alternative futures : from the philosophy of science to the science of human flourishing. Journal of Critical Realism, 13 (3). pp. 225-232. doi:10.1179/1476743014Z.00000000028
Martinez-Vernon, Andrea, Covington, James A., Arasaradnam, Ramesh P., Esfahani, Siavash, O’Connell, Nicola, Kyrou, Ioannis and Savage, Richard S. (2018) An improved machine learning pipeline for urinary volatiles disease detection : diagnosing diabetes. PLoS One, 13 (9). e0204425. doi:10.1371/journal.pone.0204425
Materia, V. C., Pascucci, S. and Kolympiris, Christos (2015) Understanding the selection processes of public research projects in agriculture : the role of scientific merit. Food Policy, 56 . pp. 87-99. doi:10.1016/j.foodpol.2015.08.003
Maurer, Reinhard J., Freysoldt, Christoph, Reilly, Anthony M., Brandenburg, Jan Gerit, Hofmann, Oliver T., Björkman, Torbjörn, Lebegue, Sebastien and Tkatchenko, Alexandre (2019) Advances in density-functional calculations for materials modeling. Annual Review of Materials Research, 49 . pp. 1-30. doi:10.1146/annurev-matsci-070218-010143
McInerny, Greg J., Chen, Min, Freeman, Robin, Gavaghan, David, Meyer, Miriah, Rowland, Francis, Spiegelhalter, David J., Stefaner, Moritz, Tessarolo, Geizi and Hortal, Joaquin (2014) Information visualisation for science and policy : engaging users and avoiding bias. Trends in Ecology & Evolution, 29 (3). pp. 148-157. doi:10.1016/j.tree.2014.01.003
McMahon, Richard A., Santos, Hugo and Sobral Mourao, Zanaida (2018) Practical considerations in the deployment of ground source heat pumps in older properties - a case study. Energy & Buildings, 159 . pp. 54-65.
McTurk, Euan, Amietszajew, Tazdin, Fleming, Joseph and Bhagat, Rohit (2018) Thermo-electrochemical instrumentation of cylindrical Li-ion cells. Journal of Power Sources, 379 . pp. 309-316. doi:10.1016/j.jpowsour.2018.01.060
Mengis, Jeanne, Nicolini, Davide and Swan, Jacky (2018) Integrating knowledge in the face of epistemic uncertainty : dialogically drawing distinctions. Management Learning, 49 (5). pp. 595-612. doi:10.1177/1350507618797216
Millett, Adam J., Habtemariam, Abraha, Romero-Canelón, Isolda, Clarkson, Guy J. and Sadler, P. J. (2015) Contrasting anticancer activity of half-sandwich iridium(III) complexes bearing functionally diverse 2-phenylpyridine ligands. Organometallics, Volume 34 (Number 11). pp. 2683-2694. doi:10.1021/acs.organomet.5b00097
Montefusco, Francesco, Akman, Ozgur E., Soyer, Orkun S. and Bates, Declan (2016) Ultrasensitive negative feedback control : a natural approach for the design of synthetic controllers. PLoS One, 11 (8). e0161605. doi:10.1371/journal.pone.0161605
Mozaffari, Sajjad, Al-Jarrah, Omar Y., Dianati, Mehrdad, Jennings, Paul. A. and Mouzakitis, Alexandros (2022) Deep learning-based vehicle behaviour prediction for autonomous driving applications : a review. IEEE Transactions on Intelligent Transportation Systems, 23 (1). pp. 33-47. doi:10.1109/TITS.2020.3012034
Muhammad, S. Haleem, Castaldo, R., Pagliara, Silvio, Petretta, M., Salvatore, M., Franzese, M. and Pecchia, Leandro (2021) Time adaptive ECG driven cardiovascular disease detector. Biomedical Signal Processing and Control, 70 . 102968. doi:10.1016/j.bspc.2021.102968
Muhli, Heikki, Chen, Xi, Bartók, Albert P., Hernández-León, Patricia, Csányi, Gábor, Ala-Nissila, Tapio and Caro, Miguel A. (2021) Machine learning force fields based on local parametrization of dispersion interactions : application to the phase diagram of C60. Physical Review B (Condensed Matter and Materials Physics), 104 (5). 054106 . doi:10.1103/PhysRevB.104.054106
Musil, Felix, Grisafi, Andrea, Bartók, Albert P., Ortner, Christoph, Csányi, Gábor and Ceriotti, Michele (2021) Physics-inspired structural representations for molecules and materials. Chemical Reviews, 121 (16). pp. 9759-9815. doi:10.1021/acs.chemrev.1c00021
Niker, Fay, Reiner, Peter B. and Felsen, Gidon (2015) Updating our selves : synthesizing philosophical and neurobiological perspectives on incorporating new information into our worldview. Neuroethics . pp. 1-10. doi:10.1007/s12152-015-9246-3
Noori, Roohollah, Ghiasi, Behzad, Salehi, Sohrab, Esmaeili Bidhendi, Mehdi, Raeisi, Amin, Partani, Sadegh, Meysami, Rojin, Mahdian, Mehran, Hosseinzadeh, Majid and Abolfathi, Soroush (2022) An efficient data driven-based model for prediction of the total sediment load in rivers. Hydrology, 9 (2). 36. doi:10.3390/hydrology9020036
Orr, L., Chapman, Sandra C., Gjerloev, J. W. and Guo, W. (2021) Network community structure of substorms using SuperMAG magnetometers. Nature Communications, 12 (1). 1842. doi:10.1038/s41467-021-22112-4
Osuh, Mary E., Oke, Gbemisola A., Lilford, Richard J., Owoaje, Eme, Harris, Bronwyn, Taiwo, Olalekan John, Yeboah, Godwin, Abiona, Taiwo, Watson, Samuel I., Hemming, Karla, Quinn, Laura and Chen, Yen-Fu (2022) Prevalence and determinants of oral health conditions and treatment needs among slum and non-slum urban residents : evidence from Nigeria. PLOS Global Public Health, 2 (4). pp. 1-24. doi:10.1371/journal.pgph.0000297
Palacio Lozano, Diana Catalina, Ramírez, Claudia , Sarmiento Chaparro, José Aristóbulo, Thomas, Mary J., Gavard, Remy, Jones, Hugh E., Cabanzo Hernández, Rafael, Mejia-Ospino, Enrique and Barrow, Mark P. (2020) Characterization of bio-crude components derived from pyrolysis of soft wood and its esterified product by ultrahigh resolution mass spectrometry and spectroscopic techniques. Fuel, 259 . doi:10.1016/j.fuel.2019.116085
Pan, Zhibin, Tang, Jin, Tjahjadi, Tardi and Guo, Fan (2021) Fast geo-location method based on panoramic skyline in hilly area. ISPRS International Journal of Geo-Information, 10 (8). 537. doi:10.3390/ijgi10080537
Patriotta, Gerardo (2020) Writing impactful review articles. Journal of Management Studies, 57 (6). pp. 1272-1276. doi:10.1111/joms.12608
(2020) Immune surveillance in clinical regression of pre-invasive squamous cell lung cancer. Cancer Discovery . doi:10.1158/2159-8290.CD-19-1366
Pereira, André S., Kavanagh, Eithne, Hobaiter, Catherine, Slocombe, Katie E. and Lameira, Adriano R. (2020) Chimpanzee lip-smacks confirm primate continuity for speech-rhythm evolution. Biology Letters, 16 (5). doi:10.1098/rsbl.2020.0232
Pereira, Maria do Mar (2019) Boundary-work that does not work : social inequalities and the non-performativity of scientific boundary-work. Science, Technology & Human Values, 44 (2). pp. 338-365. doi:10.1177/0162243918795043
Pergola, Gabriele, Gui, Lin and He, Yulan (2019) TDAM: a topic-dependent attention model for sentiment analysis. Information Processing & Management, 56 (6). 102084. doi:10.1016/j.ipm.2019.102084
Playford, Christopher J., Gayle, Vernon, Connelly, Roxanne and Gray, Alasdair J. G. (2016) Administrative social science data : the challenge of reproducible research. Big Data and Society, 3 (2). doi:10.1177/2053951716684143
Pope, Harley, de Frece, Annabel, Wells, Rebecca, Borrelli, Rosina, Ajates, Raquel, Arnall, Alex, Blake, Lauren J., Dadios, Nikolaos, Hasnain, Saher, Ingram, John, Reed, Kelly, Sykes, Roger, Whatford, Louise, White, Rebecca, Collier, Rosemary and Häsler, Barbara (2021) Developing a functional food systems literacy for interdisciplinary dynamic learning networks. Frontiers in Sustainable Food Systems, 5 . 747627. doi:10.3389/fsufs.2021.747627
Poskett, James (2021) Race, material culture, and the global history of science. Global Intellectual History, 6 (2). pp. 142-157. doi:10.1080/23801883.2021.1892911
Poskett, James (2020) Science in history. The Historical Journal, 63 (2). pp. 209-242. doi:10.1017/S0018246X18000195
Procter, Rob, Wherton, Joe, Greenhalgh, Trish, Sugarhood, Paul, Rouncefield, Mark and Hinder, Sue (2016) Telecare call centre work and ageing in place. Computer Supported Cooperative Work (CSCW), 25 (1). pp. 79-105. doi:10.1007/s10606-015-9242-5
Puszyk, William Matthew, Chatha, Kamaljit , Elsenheimer, Selina, Crea, Francesco and Old, R. W. (2008) Methylation of the imprinted GNAS1 gene in cell-free plasma DNA : equal steady-state quantities of methylated and unmethylated DNA in plasma. Clinica Chimica Acta, Vol.400 (No.1-2). pp. 107-110. doi:10.1016/j.cca.2008.10.018
Qinglei, Hu, Haoyang, Yang, Hongyang, Dong and Xiaowei, Zhao (2021) Learning-based 6-DOF control for autonomous proximity operations under motion constraints. IEEE Transactions on Aerospace and Electronic Systems, 57 (6). 4097 -4109. doi:10.1109/TAES.2021.3094628
Quach, Helen Ngoc Bao, Tao, Shijie, Vrljicak, Pavle, Joshi, Adita, Ruan, Hua, Sukumaran, Rashmi, Varshney, Gaurav K, LaFave, Matthew C., Burgess, Shawn M., Winkler, Christoph, Emelyanov, Alexander, Parinov, Sergey and Sampath, Karuna (2015) A multifunctional mutagenesis system for analysis of gene function in zebrafish. G3 Genes|Genomes|Genetics, Volume 5 (Number 6). pp. 1283-1299. doi:10.1534/g3.114.015842
Qureshi, Shahzad Ahmad, Raza, Shan E. Ahmed, Hussain, Lal, Malibari, Areej A., Nour, Mohamed K., Rehman, Aziz ul, Al-Wesabi, Fahd N. and Hilal, Anwer Mustafa (2022) Intelligent ultra-light deep learning model for multi-class brain tumor detection. Applied Sciences, 12 (8). e3715. doi:10.3390/app12083715
Racovita, Adrian and Jaramillo, Alfonso (2020) Reinforcement learning in synthetic gene circuits. Biochemical Society Transactions, 48 (4). pp. 1637-1643. doi:10.1042/bst20200008
Radanliev, Petar, De Roure, David, Maple, Carsten and Ani, Uchenna (2022) Super-forecasting the ‘technological singularity’ risks from artificial intelligence. Evolving Systems . doi:10.1007/s12530-022-09431-7 (In Press)
Radanliev, Petar, De Roure, David, Maple, Carsten and Santos, Omar (2022) Forecasts on future evolution of artificial intelligence and intelligent systems. IEEE Access, 10 . pp. 45280-45288. doi:10.1109/ACCESS.2022.3169580
Radanliev, Petar, De Roure, David, Page, Kevin, Van Kleek, Max, Santos, Omar, Maddox, La’Treall, Burnap, Peter, Anthi, Eirini and Maple, Carsten (2020) Design of a dynamic and self-adapting system, supported with artificial intelligence, machine learning and real-time intelligence for predictive cyber risk analytics in extreme environments – cyber risk in the colonisation of Mars. Safety in Extreme Environments, 2 . pp. 219-230. doi:10.1007/s42797-021-00025-1
Rafiee, Banafsheh, Abbas, Zaheer, Ghiassian, Sina, Kumaraswamy, Raksha, Sutton, Richard S., Ludvig, Elliot Andrew and White, Adam (2022) From eye-blinks to state construction : diagnostic benchmarks for online representation learning. Adaptive Behavior . doi:10.1177/10597123221085039 (In Press)
Raj, Alex Noel Joseph, Cai, Lianhong, Li, Wei, Zhuang, Zhemin and Tjahjadi, Tardi (2022) FPGA-based systolic deconvolution architecture for upsampling. PeerJ Computer Science, 8 . e973. doi:10.7717/peerj-cs.973
Rasooli-Nejad, Seyed, Palygin, Oleg, Lalo, Ulyana and Pankratov, Yuriy (2014) Cannabinoid receptors contribute to astroglial Ca2+-signalling and control of synaptic plasticity in the neocortex. Philosophical Transactions of the Royal Society B: Biological Sciences, Volume 369 (Number 1654). Article number 20140077. doi:10.1098/rstb.2014.0077
Ravenscroft, James, Liakata, Maria, Clare, Amanda and Duma, Daniel (2017) Measuring scientific impact beyond academia: an assessment of existing impact metrics and proposed improvements. PLoS One, 12 (3). e0173152. doi:10.1371/journal.pone.0173152
Raza, Ali, Shah, Munam Ali, Khattak, Hasan Ali, Maple, Carsten, Al-Turjman, Fadi and Rauf, Hafiz Tayyab (2022) Collaborative multi-agents in dynamic industrial internet of things using deep reinforcement learning. Environment, Development and Sustainability, 24 . pp. 9481-9499. doi:10.1007/s10668-021-01836-9
Razavi Setvati, Mahdi and Hicks, Stephen J. (2022) Machine learning models for predicting resistance of headed studs embedded in concrete. Engineering Structures, 254 . 113803. doi:10.1016/j.engstruct.2021.113803
Richards, Mark W., O'Regan, Laura, Roth, Daniel, Montgomery, Jessica M., Straube, Anne, Fry, Andrew M. and Bayliss, Richard (2015) Microtubule association of EML proteins and the EML4-ALK variant 3 oncoprotein require an N-terminal trimerization domain. Biochemical Journal, 467 (3). pp. 529-536. doi:10.1042/BJ20150039
Rochford, Luke A., Ramadan, Alexandra J., Keeble, Dean S., Ryan, Mary P., Heutz, Sandrine and Jones, T. S. (Tim S.) (2015) Structural templating in a nonplanar phthalocyanine using single crystal copper iodide. Advanced Materials Interfaces, 2 (7). doi:10.1002/admi.201400540
Rodrigo, Guillermo, Prakash, Satya, Cordero, Teresa, Kushwaha, Manish and Jaramillo, Alfonso (2016) Functionalization of an antisense small RNA. Journal of Molecular Biology, 428 Part B (5). pp. 889-892. doi:10.1016/j.jmb.2015.12.022
Rooney, Nicola J. and Clark, Corinna C. A. (2021) Development of a performance monitoring instrument for rating explosives search dog performance. Frontiers In Veterinary Science, 484 . 545382. doi:10.3389/fvets.2021.545382
Rossell, David and Müller, Peter (2013) Sequential stopping for high-throughput experiments. Biostatistics, Volume 14 (Number 1). pp. 75-86. doi:10.1093/biostatistics/kxs026
Roth, Christopher and Wohlfart , Johannes (2020) How do expectations about the macroeconomy affect personal expectations and behavior? Review of Economics and Statistics, 102 (4). pp. 731-748. doi:10.1162/rest_a_00867
Rougieux, Fiacre E., Grant, Nicholas E., Barugkin, Chug, Macdonald, Daniel and Murphy, John D. (2015) Influence of annealing and bulk hydrogenation on lifetime-limiting defects in nitrogen-doped floating zone silicon. IEEE Journal of Photovoltaics, 5 (2). pp. 495-498. doi:10.1109/JPHOTOV.2014.2367912
Rushworth, Linda, Hewit, Kay, Munnings-Tomes, Sophie, Somani, Sukrut, James, Daniel, Shanks, Emma, Dufès, Christine, Straube, Anne, Patel, Rachana and Leung, Hing (2020) Repurposing screen identifies mebendazole as a clinical candidate to synergise with docetaxel for prostate cancer treatment. British Journal of Cancer, 122 . pp. 517-527. doi:10.1038/s41416-019-0681-5
(2014) Transforming management of tropical coastal seas to cope with challenges of the 21st century. Marine Pollution Bulletin, Volume 85 (Number 1). pp. 8-23. doi:10.1016/j.marpolbul.2014.06.005
Salomon, Erika, Preston, Jesse and Tannenbaum, Melanie B. (2017) Climate change helplessness and the (de)moralization of individual energy behavior. Journal of Experimental Psychology : Applied, 23 (1). pp. 15-28. doi:10.1037/xap0000105
(2022) Multi-omic machine learning predictor of breast cancer therapy response. Nature, 601 . pp. 623-629. doi:10.1038/s41586-021-04278-5
Sanchez Silva, Victor (2021) Rate control for predictive transform screen content video coding based on RANSAC. IEEE Transactions on Circuits and Systems for Video Technology, 31 (11). pp. 4422-4438. doi:10.1109/TCSVT.2020.3047296
Sant, Jaromir, Jenkins, Paul, Koskela, Jere and Spanò, Dario (2022) Convergence of likelihood ratios and estimators for selection in nonneutral Wright–Fisher diffusions. Scandinavian Journal of Statistics . doi:10.1111/sjos.12572 (In Press)
Savva, Fotis, Anagnostopoulos, Christos and Triantafillou, Peter (2020) Adaptive learning of aggregate analytics under dynamic workloads. Future Generation Computer Systems, 109 . pp. 317-330. doi:10.1016/j.future.2020.03.063
Shaban, Muhammad, Raza, Shan E. Ahmed, Hassan, Mariam, Jamshed, Arif, Mushtaq, Sajid, Loya, Asif, Batis, Nikolaos, Brooks, Jill, Nankivell, Paul, Sharma, Neil, Robinson, Max, Mehanna, Hisham, Khurram, Syed Ali and Rajpoot, Nasir M. (Nasir Mahmood) (2022) A digital score of tumour‐associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. The Journal of Pathology, 256 (2). pp. 174-185. doi:10.1002/path.5819
Shafiee, Katayoun (2019) Science and technology studies, modern Middle East History, and the infrastructural turn. History Compass, 17 (12). e12598. doi:10.1111/hic3.12598
Shah, Pir Masoom, Ullah, Faizan, Shah, Dilawar, Gani, Abdullah, Maple, Carsten, Wang, Yulin, Shahid, A., Abrar, Mohammad and Islam, Saif ul (2021) Deep GRU-CNN model for COVID-19 detection from chest X-rays data. IEEE Access, 10 . pp. 35094-35105. doi:10.1109/ACCESS.2021.3077592
Shaikhina, Torgyn, Lowe, David Philip, Daga, Sunil, Briggs, David, Higgins, Rob and Khovanova, N. A. (2019) Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation. Biomedical Signal Processing and Control, 52 . pp. 456-462. doi:10.1016/j.bspc.2017.01.012
Shearman, Kirstie, Masters, Alexander, Nutt, Dominic, Bowman, Simon and Draper, Heather (2022) Acceptability of donor funding for clinical trials in the UK : a qualitative empirical ethics study using focus groups to elicit the views of research patient public involvement group members, research ethics committee chairs and clinical researchers. BMJ Open, 12 (6). e055208. doi:10.1136/bmjopen-2021-055208
Shibusawa, Ryo, Yamada, Eijiro, Okada, Shuichi, Nakajima, Yasuyo, Bastie, Claire C., Maeshima, A., Kaira, K. and Yamada, Masanobu (2019) Dapagliflozin rescues endoplasmic reticulum stress-mediated cell death. Scientific Reports, 9 (1). 9887 . doi:10.1038/s41598-019-46402-6
Shirian, Amir, Tripathi, Subarna and Guha, Tanaya (2021) Dynamic emotion modeling with learnable graphs and graph inception network. IEEE Transactions on Multimedia, 24 . pp. 780-790. doi:10.1109/TMM.2021.3059169
Sinha, Sumit, Franciosa, Pasquale and Ceglarek, Darek (2021) Object shape error response using Bayesian 3D convolutional neural networks for assembly systems with compliant parts. IEEE Transactions on Industrial Informatics , 17 (10). pp. 6676-6686. doi:10.1109/TII.2020.3043226
Sinha, Sumit, Franciosa, Pasquale and Ceglarek, Dariusz (2021) Building a scalable and interpretable bayesian deep learning framework for quality control of free form surfaces. IEEE Access, 9 . pp. 50188-50208. doi:10.1109/ACCESS.2021.3068867
Smith, Benjamin K. and Jensen, Eric (2016) Critical review of the United Kingdoms "gold standard" survey of public attitudes to science. Public Understanding of Science, 25 (2). pp. 154-170. doi:10.1177/0963662515623248
Southall, Emma, Holmes, Alexander, Hill, Edward M., Atkins, Benjamin D., Leng, Trystan, Thompson, Robin N., Dyson, Louise, Keeling, Matthew James and Tildesley, Michael J. (2021) An analysis of school absences in England during the COVID-19 pandemic. BMC Medicine, 19 (1). 137. doi:10.1186/s12916-021-01990-x
Stokes, Katy, Castaldo, Rossana, Franzese, Monica, Salvatore, Marco, Fico, Giuseppe, Pokvic, Lejla Gurbeta, Badnjevic, Almir and Pecchia, Leandro (2021) A machine learning model for supporting symptom-based referral and diagnosis of bronchitis and pneumonia in limited resource settings. Biocybernetics and Biomedical Engineering, 41 (4). pp. 1288-1302. doi:10.1016/j.bbe.2021.09.002
Sun, Jiyu, Wu, Wei, Xue, Weiliang, Jin, Tong and Liu, Xianping (2016) Anisotropic nanomechanical properties of bovine horn using modulus mapping. IET Nanobiotechnology, 10 (5). pp. 334-339. doi:10.1049/iet-nbt.2015.0082
Termsaithong, Patamaporn , Munprom, Ratiporn , Shah, Akeel A. and Rodchanarowan, Aphichart (2018) Pulsed current co-electrodeposition of kesterite Cu2ZnSnS4 absorber material on fluorinated tin oxide (FTO) glass under galvanostatic conditions. Surface & Coatings Technology, 350 . pp. 807-812. doi:10.1016/j.surfcoat.2018.04.045
Thomas, Mary J., Jones, Hugh E., Palacio Lozano, Diana Catalina, Gavard, Remy, Carney, Shaun and Barrow, Mark P. (2021) Comprehensive analysis of multiple asphaltene fractions combining statistical analyses and novel visualization tools. Fuel, 291 . 120132. doi:10.1016/j.fuel.2021.120132
Tian, Yanling, Liu, Zheng and Cai, Kunhai (2015) Wrinkling behaviour of annular graphynes under circular shearing load using molecular dynamics simulations. Nanomaterials and Nanotechnology, 5 (9). doi:10.5772/60461
Traynor, Carlos, Sahota, Tarjinder, Tomkinson, Helen, Gonzalez-Garcia, Ignacio, Evans, Neil D. and Chappell, Michael J. (2021) Imputing biomarker status from RWE datasets — a comparative study. Journal of Personalized Medicine, 11 (12). e1356. doi:10.3390/jpm11121356
Tripathy, Yashraj, McGordon, Andrew and Barai, Anup (2020) Improving accessible capacity tracking at low ambient temperatures for range estimation of battery electric vehicles. Energies, 13 (8). 2021. doi:10.3390/en13082021
Tu, Zezhong, Xue, Yongkang, Ren, Pengpeng, Hao, Feng, Wang, Runsheng, Li, Meng, Zhang, Jianfu, Ji, Zhigang and Huang, Ru (2022) A probability-based strong physical unclonable function with strong machine learning immunity. IEEE Electron Device Letters, 43 (1). pp. 138-141. doi:10.1109/LED.2021.3130606
Tzanakou, Charikleia and Pearce, Ruth (2019) Moderate feminism within or against the neoliberal university? The example of Athena SWAN. Gender, Work and Organization, 26 (8). pp. 1191-1211. doi:10.1111/gwao.12336
Unwin, Patrick R. and Unwin, Robert (2007) ‘A devotion to the experimental sciences and arts’: the subscription to the great battery at the Royal Institution 1808–9. British Journal for the History of Science, Vol.40 (No.2). pp. 181-203. doi:10.1017/S000708740700948X
Urooj, Beenish, Shah, Munam Ali, Maple, Carsten, Abbasi, Muhammad Kamran and Riasat, Sidra (2022) Malware detection : a framework for reverse engineered android applications through machine learning algorithms. IEEE Access . doi:10.1109/ACCESS.2022.3149053 (In Press)
Vanzo, Alberto (2016) Introduction. Perspectives on Science, 24 (3). pp. 255-263. doi:10.1162/POSC_e_00205
Vincent, Timothy A., Xing, Yuxin, Cole, Marina and Gardner, J. W. (2019) Investigation of the response of high-bandwidth MOX sensors to gas plumes for application on a mobile robot in hazardous environments. Sensors and Actuators B: Chemical, 279 . pp. 351-360. doi:10.1016/j.snb.2018.08.125
Wang, Lei, Tian, Liguo, Zhang, Wenxiao, Wang, Zuobin and Liu, Xianping (2020) Effect of AFM nanoindentation loading rate on the characterization of mechanical properties of vascular endothelial cell. Micromachines, 11 (6). 562. doi:10.3390/mi11060562
Wang, Meng, Yang, Zhen, Yang, Chengjuan, Wu, Sibo, Zhang, Dawei, Wang, Jihui, Tian, Yanling and Liu, Xianping (2020) The investigation of mechanical and thermal properties of super-hydrophobic nitinol surfaces fabricated by hybrid methods of laser irradiation and carbon ion implantation. Applied Surface Science, 527 . 146889. doi:10.1016/j.apsusc.2020.146889
Wardana, I. Nyoman Kusuma , Gardner, Julian W. and Fahmy, Suhaib A. (2022) Estimation of missing air pollutant data using a spatiotemporal convolutional autoencoder. Neural Computing and Applications . doi:10.1007/s00521-022-07224-2 (In Press)
Watson, Samuel I., Dixon-Woods, Mary, Taylor, Celia A., Wroe, Emily B., Dunbar, Elizabeth L, Chilton, Peter J. and Lilford, Richard (2019) Revising ethical guidance for the evaluation of programmes and interventions not initiated by researchers. Journal of Medical Ethics . doi:10.1136/medethics-2018-105263
Webb, Helena, Burnap, Pete, Procter, Rob, Rana, Omer, Stahl, Bernd Carsten, Williams, Matthew, Housley, William, Edwards, Adam and Jirotka, Marina (2016) Digital Wildfires : propagation, verification, regulation, and responsible innovation. ACM Transactions on Information Systems, 34 (3). doi:10.1145/2893478
Westermayr, Julia, Gastegger, Michael, Schütt, Kristoff T. and Maurer, Reinhard J. (2021) Perspective on integrating machine learning into computational chemistry and materials science. The Journal of Chemical Physics, 154 (23). 230903. doi:10.1063/5.0047760
Westermayr, Julia and Maurer, Reinhard J. (2021) Physically inspired deep learning of molecular excitations and photoemission spectra. Chemical Science, 12 (32). pp. 10755-10764. doi:10.1039/D1SC01542G
Wu, Wentai, He, Ligang, Lin, Weiwei, Mao, Rui, Maple, Carsten and Jarvis, Stephen A. (2021) SAFA : a semi-asynchronous protocol for fast federated learning with low overhead. IEEE Transactions on Computers, 70 (5). doi:10.1109/TC.2020.2994391
Xie, Jingjie, Dong, Hongyang, Zhao, Xiaowei and Karcanias, Aris (2022) Wind farm power generation control via double-network-based deep reinforcement learning. IEEE Transactions on Industrial Informatics, 18 (4). pp. 2321-2330. doi:10.1109/TII.2021.3095563
Xie, Jingjie, Xiaowei, Zhao and Hongyang, Dong (2021) Learning-based nonlinear model predictive control with accurate uncertainty compensation. Nonlinear Dynamics, 104 . pp. 3827-3843. doi:10.1007/s11071-021-06522-z
Xu, Fang, Zhu, Chipan, Cevik, Volkan, Johnson, Kaeli, Liu, Yanan, Sohn, Kee-Hoon, Jones, Jonathan D. G., Holub, E. B. and Li, Xin (2015) Autoimmunity conferred by chs3-2D relies on CSA1, its adjacent TIR-NB-LRR encoding neighbour. Scientific Reports, 5 . pp. 1-7. 8792. doi:10.1038/srep08792
Xu, Tongyang, Xu, Tianhua and Darwazeh, Izzat (2021) Deep intelligent spectral labelling and receiver signal distribution for optical links. Optics Express, 29 (24). pp. 39611-39632. doi:10.1364/OE.422849
Yang, Ziying, He, Wenyan, Fan, Xijian and Tjahjadi, Tardi (2022) PlantNet : transfer learning-based fine-grained network for high-throughput plants recognition. Soft Computing . doi:10.1007/s00500-021-06689-y (In Press)
Yazdani, D., Cheng, R. and Branke, Jürgen (2022) Adaptive control of sub-populations in evolutionary dynamic optimization. IEEE Transactions on Cybernetics, 52 (7). pp. 6476-6489. doi:10.1109/TCYB.2020.3036100
Yin, Xiuxing and Zhao, Xiaowei (2019) Big data driven multi-objective predictions for offshore wind farm based on machine learning algorithms. Energy, 186 . 115704. doi:10.1016/j.energy.2019.07.034
Zhang, Jincheng and Zhao, Xiaowei (2021) Spatiotemporal wind field prediction based on physics-informed deep learning and LIDAR measurements. Applied Energy, 288 . 116641. doi:10.1016/j.apenergy.2021.116641
Zhang, Jincheng and Zhao, Xiaowei (2022) Wind farm wake modeling based on deep convolutional conditional generative adversarial network. Energy, 238 (Part B). 121747. doi:10.1016/j.energy.2021.121747
Zhang, Jincheng, Zhao, Xiaowei and Wei, Xing (2020) Reinforcement learning-based structural control of floating wind turbines. IEEE Transactions on Systems, Man, and Cybernetics: Systems . pp. 1-11. doi:10.1109/TSMC.2020.3032622
Zhang, Liang, Qiu, Feiyang, Hao, Feng and Kan, Haibin (2022) 1-round distributed key generation with efficient reconstruction using decentralized CP-ABE. IEEE Transactions on Information Forensics and Security, 17 . pp. 894-907. doi:10.1109/TIFS.2022.3152356
Zhang, Linhai, Lin, Chao, Zhou, Deyu, He, Yulan and Zhang, Meng (2021) A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases. Computer Speech & Language, 66 . 101167. doi:10.1016/j.csl.2020.101167
Zhao, Dadi, Grist, James T., Rose, Heather E. L., Davies, Nigel P., Wilson, Martin, MacPherson, Lesley, Abernethy, Laurence J., Avula, Shivaram, Pizer, Barry, Gutierrez, Daniel R., Jaspan, Tim, Morgan, Paul S., Mitra, Dipayan, Bailey, Simon, Sawlani, Vijay, Arvanitis, Theodoros N., Sun, Yu and Peet, Andrew C. (2022) Metabolite selection for machine learning in childhood brain tumour classification. NMR in Biomedicine, 35 (6). e4673. doi:10.1002/nbm.4673
Zhou, Yu , Ryabov, Eugene V., Zhang, Xuemei and Hong, Yiguo (2008) Influence of viral genes on the cell-to-cell spread of RNA silencing. Journal of Experimental Botany, Vol.59 (No.10). pp. 2803-2813. doi:10.1093/jxb/ern141
Zhou, Yujue, He, Ligang and Yang, Shuang‐Hua (2021) Developing normalization schemes for data isolated distributed deep learning. IET Cyber-Physical Systems: Theory & Applications, 6 (3). pp. 105-115. doi:10.1049/cps2.12004
Zhu, Hongming, Tan, Rui, Han, Letong, Fan, Hongfei, Wang, Zeju, Du, Bowen, Liu, Sicong and Liu, Qin (2022) DSSM : a deep neural network with spectrum separable module for multi-spectral remote sensing image segmentation. Remote Sensing, 14 (4). e818. doi:10.3390/rs14040818
Zubiaga, Arkaitz, Wang, Bo, Liakata, Maria and Procter, Rob (2019) Political homophily in independence movements : analysing and classifying social media users by national identity. IEEE Intelligent Systems , 34 (6). pp. 34-42. doi:10.1109/MIS.2019.2958393
Zwetsloot, Alexander, Tut, Gokhan and Straube, Anne (2018) Measuring microtubule dynamics. Essays in Biochemistry . EBC20180035. doi:10.1042/EBC20180035
van de Poel, Ibo, Asveld, Lotte, Flipse, Steven, Klaassen, Pim, Kwee, Zenlin, Maia, Maria, Mantovani, Elvio, Nathan, Christopher, Porcari, Andrea and Yaghmaei, Emad (2020) Learning to do responsible innovation in industry : six lessons. Journal of Responsible Innovation, 7 (3). pp. 697-707. doi:10.1080/23299460.2020.1791506
Çivitcioğlu, Burak, Roemer, Rudolf A. and Honecker, Andreas (2022) Machine learning the square-lattice Ising model. Journal of Physics: Conference Series, 2207 (1). 012058. doi:10.1088/1742-6596/2207/1/012058
Book Item
Anstey, Peter R. and Vanzo, Alberto (2016) Early modern experimental philosophy. In: Sytsma, Justin and Buckwalter, Wesley, (eds.) A Companion to Experimental Philosophy. Blackwell Companions to Philosophy Series . Wiley-Blackwell, pp. 87-102. ISBN 9781118661697
Antoni, A. and Beer, Haley (2019) Research impact as care : re-conceptualizing research impact from an ethics of care perspective. In: Fotaki, Marianna and Islam, Gazi and Antoni, Anne , (eds.) Business ethics and care in organizations. Routledge studies in business ethics (20). New York, NY: Routledge. ISBN 9780367140601
Bilici Ozyigit, Eda, Arvanitis, Theodoros N. and Despotou, George (2020) Generation of realistic synthetic validation healthcare datasets using generative adversarial networks. In: The Importance of Health Informatics in Public Health during a Pandemic. Studies in Health Technology and Informatics, 272 . I O S Press, pp. 322-325. ISBN 9781643680927
Campbell, Emma (2021) Visualizing the trans-animal body : the hyena in Medieval bestiaries. In: LaFleur, Greta and Raskolnikov, Masha and Kłosowska, Anna, (eds.) Trans Historical: Gender Plurality Before the Modern. Ithaca [New York]: Cornell University Press, pp. 313-352. ISBN 9781501759086
Harrison, Freya and Connelly, Erin (2019) Could medieval medicine help the fight against antimicrobial resistance? In: Jones, Chris and Kostick, Conor and Oschema, Klaus, (eds.) Making the Medieval Relevant: How Medieval Studies Contribute to Improving our Understanding of the Present. Berlin, Boston: De Gruyter, pp. 113-134. ISBN 9783110546316
Harrison, Stuart, Despotou, George and Arvanitis, Theodoros N. (2022) Hazards for the implementation and use of artificial intelligence enabled digital health interventions, a UK perspective. In: Informatics and Technology in Clinical Care and Public Health. Studies in Health Technology and Informatics, 289 . IOS Press, pp. 14-17. ISBN 9781643682501
Peter, Mooney, Grinberger, A. Yair, Marco, Minghini, Serena, Coetzee, Levente, Juhasz and Yeboah, Godwin (2021) OpenStreetMap data use cases during the early months of the COVID-19 pandemic. In: Abbas, Rajabifard and Daniel, Paez and Greg, Foliente, (eds.) COVID-19 Pandemic, Geospatial Information, and Community Resilience: Global Applications and Lessons. CRC Press, Taylor & Francis Group, pp. 171-186. ISBN 9780367775315
Reigeluth, Tyler and Castelle, Michael (2020) What kind of learning is machine learning? In: Roberge, Jonathan and Castelle, Michael, (eds.) The Cultural Life of Machine Learning : An Incursion into Critical AI Studies. Cham, Switzerland: Palgrave Macmillan, pp. 79-115. ISBN 9783030562854
Conference Item
Aglietti, Virginia, Dhir, N., Gonzalez, J. and Damoulas, Theodoros (2021) Dynamic causal Bayesian optimisation. In: Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021. Published in: Advances in Neural Information Processing Systems, 34 pp. 10549-10560.
Alharthi, Khalid, Jhumka, Arshad, Di, Sheng, Cappello, Franck and Chuah, Edward (2021) Sentiment analysis based error detection for large-scale systems. In: 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (DSN'21), Taipei, Taiwan, 21-24 Jun 2021. Published in: 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) ISBN 9781665411943. ISSN 1530-0889. doi:10.1109/DSN48987.2021.00037
Alharthi, Khalid, Jhumka, Arshad, Sheng, Di and Cappello, Franck (2022) Clairvoyant : a log-based transformer-decoder for failure prediction in large-scale systems. In: ACM International Conference on Supercomputing, Virtual, 27-30 Jun 2022. Published in: ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing pp. 1-14. ISBN 9781450392815. doi:10.1145/3524059.3532374
Atkinson, Malcolm, Esnouf, Robert, Marmier, Arnaud, Meredith, David, Osmond, Michele, Peters, Simon, Allan, Rob, Stevens, Robert, Trefethen, Anne, Ure, Jenny, Zasada, Stephan and Youn, Choohan (2006) Report of the user requirements and web based access for eResearch workshops. In: User Requirements and Web based Access for eResearch, Edinburgh, UK, 19 May 2006 pp. 1-25.
Bailey, Toby and Gale, Michael B. (2021) Chesskell : a two- player game at the type level. In: 14th ACM SIGPLAN International Haskell Symposium, Virtual conference, 26-27 Aug 2021. Published in: Haskell 2021: Proceedings of the 14th ACM SIGPLAN International Symposium on Haskell pp. 110-121. doi:10.1145/3471874.3472987
Bishop, Nicholas, Tran-Thanh, Long and Gerding, Enrico (2020) Optimal learning from verified training data. In: 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, 7-12 Oct 2020. Published in: Advances in Neural Information Processing Systems, 33
Crosby, Henry James, Davis, Paul, Damoulas, Theodoros and Jarvis, Stephen A. (2016) A spatio-temporal, Gaussian Process Regression, real-estate price predictor. In: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), San Francisco, 31 Oct - 3 Nov 2016. Published in: GIS '16 Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems p. 68. ISBN 9781450345897 .
Cunningham, Teddy (2022) Sharing and generating privacy-preserving spatio-temporal data using real-world knowledge. In: 23rd IEEE International Conference on Mobile Data Management (MDM), Paphos, Cyprus ; Online, 6-9 Jul 2022 doi:10.1109/MDM55031.2022.00074 (In Press)
Daum, David A., Deb, Kalyanmoy and Branke, Jürgen (2007) Reliability-based optimization for multiple constraints with evolutionary algorithms. In: IEEE Congress on Evolutionary Computation, Singapore, 25-28 September 2007. Published in: IEEE Transactions on Evolutionary Computation pp. 911-918. ISSN 1089-778X. doi:10.1109/CEC.2007.4424567
Fan, Chuang, Yuan, Chaofa, Du, Jiachen, Gui, Lin, Yang, Min and Xu, Ruifeng (2020) Transition-based directed graph construction for emotion-cause pair extraction. In: 2020 Annual Conference of the Association for Computational Linguistics, 5-10 Jul 2020 . Published in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics pp. 3707-3717. doi:10.18653/v1/2020.acl-main.342
Foo, Mathias, Sawlekar, Rucha, Kulkarni, Vishwesh V. and Bates, Declan (2016) Biologically inspired design of feedback control systems implemented using DNA strand displacement reactions. In: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, 16-20 Aug 2016. Published in: 2016 IEEE 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ISSN 1558-4615.
Gascon, Adrià, Tiwari, Ashish, Carmer, Brent and Mathur, Umang (2017) Look for the proof to find the program : decorated-component-based program synthesis. In: Computer Aided Verification - 29th International Conference, CAV 2017, Proceedings, Part II, Heidelberg, Germany, 24-28 Jul 2017, 10427 pp. 86-103. ISBN 9783319633893. ISSN 0302-9743. doi:10.1007/978-3-319-63390-9
Goldberg, Halley, Kabanets, Valentine, Lu, Zhenjian and Oliveira, Igor C. (2022) Probabilistic Kolmogorov complexity with applications to average-case complexity. In: Computational Complexity Conference (CCC), Philadelphia, PA, USA, 21–23 Jul 2022. Published in: 37th Computational Complexity Conference (CCC 2022), 234 16:1-16:60. ISBN 9783959772419. ISSN 1868-8969. doi:10.4230/LIPIcs.CCC.2022.16
Griffiths, Nathan and Luck, Michael (Michael M.) (2010) Norm emergence in tag-based cooperation. In: 9th International Workshop on Coordination, Organization, Institutions and Norms in Multi-Agent Systems (COIN10), Toronto, Canada, 10-14 May 2010 pp. 80-87.
Gui, Lin, Leng, Jia, Pergola, Gabriele, Zhou, Yu, Xu, Ruifeng and He, Yulan (2019) Neural topic model with reinforcement learning. In: 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, 3-7 Nov 2019. Published in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) pp. 3478-3483. doi:10.18653/v1/D19-1350
Khan, Mohammed Omar, Lim Choi Keung, Sarah Niukyun, Quenby, Siobhan, Coomarasamy, Arri and Arvanitis, Theodoros N. (2018) Design considerations for tools supporting multi-centre clinical trials. In: AMIA 2018 Informatics Summit, San Francisco, USA, 12-15 Mar 2018 (Unpublished)
Kilbertus, Niki, Gascon, Adrià, Kusner, Matt, Veale, Michael, Gummadi , Krishna P. and Weller, Adrian (2018) Blind justice : fairness with encrypted sensitive attributes. In: 35th International Conference on Machine Learning, ICML 2018, Stockholm, Sweden, 10-15 Jul 2018. Published in: Proceedings of the 35th International Conference on Machine Learning, 80 pp. 2630-2639. ISSN 1938-7228.
Kulkarni, Vishwesh V. and Raman, Karthik (2016) Fast identification of synthetic lethals using quadratic programming. In: Synthetic Biology UK 2016, Edinburgh, 14-16 Nov 2016. Published in: Synthetic Biology UK 2016
Le, Anhtuan and Maple, Carsten (2019) Shadows don’t lie : n-sequence trajectory inspection for misbehaviour detection and classification in VANETs. In: 2019 IEEE 90th Vehicular Technology Conference : VTC2019, Honolulu, Hawaii, 22-25 Sep 2019. Published in: 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) ISSN 2577-2465. doi:10.1109/VTCFall.2019.8891137
Lee, Royson, Dudziak, Łukasz, Abdelfattah, Mohamed , Venieris, Stylianos I. , Kim, Hyeji , Wen, Hongkai and Lane, Nicholas D. (2020) Journey towards tiny perceptual super-resolution. In: 16th European Conference on Computer Vision, Virtual conference, 23-28 Aug 2020. Published in: Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVI, 12371 pp. 85-102. ISBN 9783030585730. doi:10.1007/978-3-030-58574-7_6
Lemercier, Maud, Salvi, Cristopher, Cass, Thomas, Bonilla, Edwin V., Damoulas, Theodoros and Lyons, Terry (2021) SigGPDE : scaling sparse Gaussian processes on sequential data. In: ICML : 2021 Thirty-eighth International Conference on Machine Learning, Virtual, 18-24 Jul 2021. Published in: Proceedings of the 38th International Conference on Machine Learning, 139 pp. 6233-6242. ISSN 2640-3498.
Liang, Bin, Chen, Zixiao, Gui, Lin, He, Yulan, Yang, Min and Xu, Ruifeng (2022) Zero-shot stance detection via contrastive learning. In: WWW '22: The ACM Web Conference, Online, hosted Lyon, France, 25–29 Apr 2022. Published in: WWW '22: The ACM Web Conference Proceedings (In Press)
Liang, Bin, Lou, Chenwei, Li, Xiang, Yang, Min, Gui, Lin, He, Yulan, Pei, Wenjie and Xu, Ruifeng (2022) Multi-modal sarcasm detection via cross-modal graph convolutional network. In: The 60th Annual Meeting of the Association for Computational Linguistics (ACL), Dublin, Ireland, 22-27 May 2022. Published in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1 pp. 1767-1777. doi:10.18653/v1/2022.acl-long.124
Liang, Bin, Su, Hang, Yin, Rongdi, Gui, Lin, Yang, Min, Zhao, Qin, Yu, Xiaoqi and Xu, Ruifeng (2021) Beta distribution guided aspect-aware graph for aspect category sentiment analysis with affective knowledge. In: The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Online ; Punta Cana, Dominican Republic, 7–11 Nov 2021. Published in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing pp. 208-218.
Liang, Bin, Zhu, Qinlin, Li, Xiang, Yang, Min, Gui, Lin, He, Yulan and Xu, Ruifeng (2022) JointCL : a joint contrastive learning framework for zero-shot stance detection. In: The 60th Annual Meeting of the Association for Computational Linguistics (ACL), Dublin, Ireland, 22-27 May 2022. Published in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1 pp. 81-91. doi:10.18653/v1/2022.acl-long.7
Liga, Gabriele, Czegledi, Cristian B, Xu, Tianhua, Agrell, Erik, Killey, Robert I. and Bayvel, Polina (2016) Ultra-wideband nonlinearity compensation performance in the presence of PMD. In: 42nd European Conference on Optical Communication (ECOC 2016), Dusseldorf, Germany, 18-22 Sep 2016. Published in: Proceedings of ECOC 2016 ; 42nd European Conference on Optical Communication ISBN 9783800742745.
Lim Choi Keung, Sarah Niukyun, Khan, Mohammed Omar, Perkins, Gavin D., Smith, Christopher Matthew, Murphy, Paddie and Arvanitis, Theodoros N. (2016) The role of informatics in prehospital emergency resuscitation and defibrillation. In: West Midlands Health Informatics Network (WIN) Conference 2016, University of Warwick, Coventry, UK, 26 Jan 2016. Published in: 2nd WIN Conference: Conference e-Proceedings pp. 27-28.
Lim Choi Keung, Sarah Niukyun, Zhao, Lei, Curcin, Vasa, Éthier, Jean-François, Burgun, Anita, McGilchrist, Mark, Bródka, Piotr, Tuligłowicz, Włodzimierz, Andreasson, Anna, Delaney, B. and Arvanitis, Theodoros N. (2015) TRANSFoRm : implementing a learning healthcare system in Europe through embedding clinical research into clinical practice. In: 2015 48th Hawaii International Conference on System Sciences, Kauai, Hawaii, 5-8 Jan 2015. Published in: 2015 48th Hawaii International Conference on System Sciences pp. 3176-3185. ISBN 9781479973675. ISSN 1530-1605 .
Liu, Yifan, Yang, Bowei and Xu, Tianhua (2020) Machine learning for fiber nonlinearity mitigation in long-haul coherent optical transmission systems. In: 11th International Conference on Advanced Infocomm Technology (ICAIT), Jinan, China, 18-20 Oct 2019. Published in: IEEE International Conference on Advanced Infocomm Technology (ICAIT) ISBN 9781728147789. doi:10.1109/ICAIT.2019.8935891
Ma, Qingzhi, Shanghooshabad, Ali M., Almasi, Mehrdad, Kurmanji, Meghdad and Triantafillou, Peter (2021) Learned approximate query processing : make it light, accurate and fast. In: Conference on Innovative Data Systems, (CIDR21), Virtual conference, 12-15 Jan 2021. Published in: Conference on Innovative Data Systems, (CIDR21)
Ma, Qingzhi and Triantafillou, Peter (2020) Query-centric regression for In-DBMS analytics. In: DOLAP 2020 Design, Optimization, Languages and Analytical Processing of Big Data, Copenhagen, Denmark, 30 Mar 2020. Published in: Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference (EDBT/ICDT 2020), 2572 pp. 16-25. ISSN 1613-0073.
Minghini, Marco, Coetzee, Serena, Grinberger, A. Yair, Yeboah, Godwin, Juhász, Levente and Mooney, Peter (2020) Editorial : OpenStreetMap research in the COVID-19 era. In: State of the Map 2020, Online (originally planned in Cape Town, South Africa), 4-5 Jul 2020 pp. 1-4. doi:10.5281/zenodo.3922054
Parida, Kranti K., Matiyali, Niraj, Guha, Tanaya and Sharma, Gaurav (2020) Coordinated joint multimodal embeddings for generalized audio-visual zero-shot classification and retrieval of videos. In: IEEE Winter Conference on Applications of Computer Vision (WACV), Aspen, Colorado, 1-5 Mar 2020 pp. 3240-3249. ISBN 9781728165530. ISSN 2642-9381. doi:10.1109/WACV45572.2020.9093438
Pergola, Gabriele, Kochkina, Elena, Gui, Lin, Liakata, Maria and He, Yulan (2021) Boosting low-resource biomedical QA via entity-aware masking strategies. In: EACL 2021: The 16th Conference of the European Chapter of the Association for Computational Linguistics, Virtual conference, 19-23 Apr 2021. Published in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume pp. 1977-1985. doi:10.18653/v1/2021.eacl-main.169
Rangi, Anshuka, Xu, Haifeng, Tran-Thanh, Long and Franceschetti, Massimo (2022) Understanding the limits of poisoning attacks in episodic reinforcement learning. In: International Joint Conference on Artificial Intelligence (IJCAI 2022), Vienna, Austria, 25-29 Jul 2022. Published in: Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) (In Press)
Roy, Debaleena, Guha, Tanaya and Sanchez Silva, Victor (2021) Graph-based transform based on neural networks for intra-prediction of imaging data. In: IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2021), Gold Coast, Queensland, Australia, 25-28 Oct 2021. Published in: IEEE Xplore doi:10.1109/MLSP52302.2021.9596317
Sanyal, Amartya, Kusner, Matt, Gascon, Adria and Kanade, Varun (2018) TAPAS : tricks to accelerate (encrypted) prediction as a service. In: 35th International Conference on Machine Learning, ICML 2018, Stockholm, Sweden, 10-15 Jul 2018. Published in: Proceedings of the 35th International Conference on Machine Learning, 80 pp. 4490-4499. ISSN 2640-3498.
Savva, Fotis, Anagnostopoulos, Christos and Triantafillou, Peter (2020) Aggregate query prediction under dynamic workloads. In: 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 9-12 Dec 2019 pp. 671-676. ISBN 9781728108582. doi:10.1109/BigData47090.2019.9006267
Sinha, Sumit, Franciosa, Pasquale and Ceglarek, Darek (2021) Object shape error response using Bayesian 3D convolutional neural networks for assembly systems with compliant parts. In: 18th IEEE International Conference on Industrial Informatics (INDIN), Coventry, 20-23 Jul 2020. Published in: 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) pp. 104-109. ISBN 9781728149646. ISSN 2378-363X. doi:10.1109/INDIN45582.2020.9442245
Tan, Xingwei, Pergola, Gabriele and He, Yulan (2021) Extracting event temporal relations via hyperbolic geometry. In: The 2021 Conference on Empirical Methods in Natural Language Processing, Online ; Punta Cana, Dominican Republic, 7–11 Nov 2021. Published in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing pp. 8065-8077. doi:10.18653/v1/2021.emnlp-main.636
Wang, Kangrui, Hamelijnck, Oliver, Damoulas, Theodoros and Steel, Mark F. J. (2020) Non-separable non-stationary random fields. In: 37th International Conference on Machine Learning, ICML 2020, Remote, 13-18 Jul 2020. Published in: Proceedings of the 37th International Conference on Machine Learning, 119 pp. 9887-9897.
Wang, Yiting, Chan, Pak Hung and Donzella, Valentina (2022) A two-stage h.264 based video compression method for automotive cameras. In: The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022, Coventry, UK, 24-26 May 2022. Published in: Proccedings of the The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022 (In Press)
Webb, Helena, Jirotka, Marina, Housley, William, Procter, Rob, Burnap, Pete, Edwards, Adam, Williams, Matthew, Stahl, Bernd and Rana, Omer (2017) The ethical challenges of publishing Twitter data for research dissemination. In: ACM Web Science Conference, Troy, New York State, USA, 25-28 June 2017. Published in: WebSci '17: Proceedings of the 2017 ACM on Web Science Conference pp. 339-348. doi:10.1145/3091478.3091489
Yang, Shanshan, (Researcher in computer science) and Evans, Chris (2019) Opportunities and challenges in using AI Chatbots in Higher Education. In: The 3rd International Conference on Education and E-Learning (ICEEL 2019), Barcelona, Spain, 5-7 Nov 2019. Published in: Proceedings of the 2019 3rd International Conference on Education and E-Learning pp. 79-83. ISBN 9781450372251. doi:10.1145/3371647.3371659
Yeo, Zhiquan, Choong Low, Jonathan Sze, Loong Tan, Daren Zong, Chung, Si Ying, Tjandra, Tobias Bestari and Ignatius, Joshua (2019) A collaboration platform for enabling industrial symbiosis : towards creating a self-learning waste-to-resource database for recommending industrial symbiosis transactions using text analytics. In: 26th CIRP Conference on Life Cycle Engineering, Purdue University, West Lafayette, IN, May 7-9 2019. Published in: Procedia CIRP, 80 pp. 643-648. ISSN 2212-8271. doi:10.1016/j.procir.2019.01.015
Zhang, Wenjian, Gui, Lin and He, Yulan (2021) Supervised contrastive learning for multimodal unreliable news detection in COVID-19 pandemic. In: 30th ACM International Conference on Information and Knowledge Management, Virtual conference, 01-05 Nov 2021. Published in: CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management pp. 3637-3641. doi:10.1145/3459637.3482196
Zhang, Yan, Khovanova, N. A. and Holt, Tim A. (2014) Inference of stochastic nonlinear equations for characterisation and prediction of prandial blood glucose levels. In: 8th European Nonlinear Dynamics Conference (ENOC 2014), Vienna, Austria, 6-11 Jul 2014. Published in: ENOC 2014 : Proceedings of 8th European Nonlinear Dynamics Conference ISBN 9783200034334.
Zhu, Lixing, Pergola, Gabriele, Gui, Lin, Zhou, Deyu and He, Yulan (2021) Topic-driven and knowledge-aware transformer for dialogue emotion detection. In: ACL 2021, Online, 2–4 Aug 2021. Published in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language pp. 1571-1582.
Working or Discussion Paper
Barons, Martine J. (2021) Strategies for the use of data and algorithm approaches in railway traffic management. Working Paper. Cambridge Open Engage. Mathematics In Industry Reports .
Benetos, Emmanouil, Ragano, Alessandro, Sgroi, Daniel and Tuckwell, Anthony (2021) Measuring national happiness with music. Working Paper. Coventry, UK: University of Warwick. Department of Economics. Warwick economics research papers series (WERPS) (1326). (Unpublished)
Ede, Jeffrey M. (2020) Adaptive partial scanning transmission electron microscopy with reinforcement learning. Working Paper. Cornell University: arXiv. (Submitted)
Prangnell, Lee and Sanchez Silva, Victor (2019) Frequency-dependent perceptual quantisation for visually lossless compression applications. Working Paper. arXiv.
Waldinger, Fabian (2012) Bombs, brains, and science : the role of human and physical capital for the creation of scientific knowledge [pre-print]. Working Paper. Coventry, UK: Department of Economics, University of Warwick. CAGE Online Working Paper Series, Volume 2012 (Number 78).
Book
Minghini, Marco and Coetzee, Serena and Juhász, Levente and Yeboah, Godwin and Mooney, Peter and Grinberger, A. Yair, eds. (2020) Proceedings of the Academic Track at State of the Map 2020. https://zenodo.org/communities/sotm-2020: Editors.
Journal Item
Benbya, Hind, Nan, Ning, Tanriverdi, Hüseyin and Yoo, Youngjin (2020) Complexity and information systems research in the emerging digital world. MIS Quarterly , 44 (1). pp. 1-17. doi:10.25300/MISQ/2020/13304
Burton-Jones, Andrew , Fong Boh, Wai, Oborn, Eivor and Padmanabhan, Balaji (2021) Advancing research transparency at MIS quarterly : a pluralistic approach. MIS Quarterly , 45 (2). iii-xviii.
Eichenlaub, Manuel, Saccomani, M. P., Hattersley, John G. and Khovanova, Natasha (2021) Comment on “minimal and maximal models to quantitate glucose metabolism : tools to measure, to simulate and to run in silico clinical trials". Journal of Diabetes Science and Technology . doi:10.1177/19322968211053884 (In Press)
Jensen, Eric (2015) Highlighting the value of impact evaluation : enhancing informal science learning and public engagement theory and practice. Journal of Science Communication, 14 (3).
Jensen, Eric (2014) The problems with science communication evaluation. Journal of Science Communication, 13 (1).
Rai, Arun, Constantinides, Panos and Sarker, Saonee (2019) Next generation digital platforms : toward human-AI hybrids. MIS Quarterly , 43 (1). iii-ix.
Staniszewska, Sophie, Hickey, Gary, Coutts, Pippa, Thurman, Ben and Coldham, Tina (2022) Co-production : a kind revolution. Research Involvement and Engagement, 8 (1). 4. doi:10.1186/s40900-022-00340-2
Taylor-Phillips, Sian and Freeman, Karoline (2022) Artificial intelligence to complement rather than replace radiologists in breast screening. The Lancet, 4 (7). e478-e479. doi:10.1016/S2589-7500(22)00094-2
Zhang, Minghan, Gu, Sai and Shi, Yuhui (2022) The use of deep learning methods in low-dose computed tomography image reconstruction : a systematic review. Complex & Intelligent Systems . doi:10.1007/s40747-022-00724-7 (In Press)
Report
Holliman, Richard, Collins, Trevor, Jensen, Eric and Taylor, Peter (2009) Isotope : Informing Science Outreach and Public Engagement. Final report of the NESTA-funded Isotope project. Milton Keynes: The Open University.
Kurtonina, Natasha and Rijke, Maarten de (1997) Expressiveness of first-order description logics. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)
Palmer, N. and Goldberg, Paul W. (2004) PAC classification based on PAC estimates of label class distributions. University of Warwick. Department of Computer Science. (Department of Computer Science Research report). (Unpublished)
Thesis
Alsebae, Alaa (2014) Network coding for computer networking. PhD thesis, University of Warwick.
Baker, Lewis A. (2017) Understanding electronic energy transport in biologically relevant systems : the photochemistry of sunscreens and the photophysics of photosynthesis. PhD thesis, University of Warwick.
Buneman, Peter (1970) Models of learning and memory. PhD thesis, University of Warwick.
Büchner, Matthias (2020) Essays in empirical asset pricing with machine learning. PhD thesis, University of Warwick.
Chimbwete-Phiri, Rachel (2018) The reproduction and negotiation of knowledge in HIV/AIDS consultations in Malawi. PhD thesis, University of Warwick.
Clewley, Jonathan P., Jonathan P. (1976) Purification of Semliki Forest virus RNA - dependent RNA polymerase. PhD thesis, University of Warwick.
Cotton-Barratt, Rebecca (2013) Modelling biological form in evolution. PhD thesis, University of Warwick.
Diakonova, Marina (2012) Persistent mutual information. PhD thesis, University of Warwick.
Ede, Jeffrey M. (2021) Advances in electron microscopy with deep learning. PhD thesis, University of Warwick.
Fei, Xin (2019) Efficient information collection in stochastic optimisation. PhD thesis, University of Warwick.
Fetit, Ahmed E. (2015) Radiomics in paediatric neuro-oncology : MRI textural features as diagnostic and prognostic biomarkers. PhD thesis, University of Warwick.
Fryer, Philip D. (1980) Marx, Weber and the methodology of social science. PhD thesis, University of Warwick.
Gin, A. Hau (2012) Aperiodically forced oscillators. PhD thesis, University of Warwick.
Hadj-Amar, Beniamino (2019) Bayesian analysis of nonstationary periodic time series. PhD thesis, University of Warwick.
Humphries, Peter Douglas (1971) Change of velocity in dynamical systems. PhD thesis, University of Warwick.
Kelly, Robert Thomas (2015) Investigating the structure of amyloid aggregates using solid-state nuclear magnetic resonance. PhD thesis, University of Warwick.
Krishna Kumar, Dhanya (2021) “Catch me if you can” : identifying, predicting and reducing the opportunities for fraud. PhD thesis, University of Warwick.
Li, Anthony Zhenyu (2019) An elastic, parallel and distributed computing architecture for machine learning. PhD thesis, University of Warwick.
Lidbury, Ian (2015) Microbial methylated amine metabolism in marine surface waters. PhD thesis, University of Warwick.
Lin, Shan (2019) Scalable deep feature learning for person re-identification. PhD thesis, University of Warwick.
Marnerides, Demetris (2019) Deep learning for high dynamic range imaging. PhD thesis, University of Warwick.
Miglietti, Sara Olivia (2016) Mastering the climate : theories of environmental influence in the long seventeenth century. PhD thesis, University of Warwick.
Miloschewski, Anne (2019) Bayesian treatment of model uncertainty under endogeneity. PhD thesis, University of Warwick.
Monaghan, E. M. (Emma M.) (2015) Microbial ecology of the sheep mammary gland. PhD thesis, University of Warwick.
Montgomery, Caroline Beryl (2015) The self-assembly of diphenylalanine fibres. PhD thesis, University of Warwick.
O'Neill, D. W. (2019) Molecular Simulations of Model Bilayers of Skin Lipids. PhD thesis, University of Warwick.
Pamuncak, Arya Panji (2021) Deep learning for structural health monitoring. PhD thesis, University of Warwick.
Perera, Shanaka (2022) A Bayesian spatial interaction framework for optimal facility location in urban environments. PhD thesis, University of Warwick.
Piho, Laura (2019) Signal processing and machine learning methods with applications in EEG-based emotion recognition. PhD thesis, University of Warwick.
Porumb, Mihaela (2020) Deep learning for electrocardiogram analysis applied to health monitoring applications. PhD thesis, University of Warwick.
Shaikhina, Torgyn (2017) Machine learning with limited information : risk stratification and predictive modelling for clinical applications. PhD thesis, University of Warwick.
Sinha, Sumit (2021) Building transformative framework for isolation and mitigation of quality defects in multi-station assembly systems using deep learning. PhD thesis, University of Warwick.
Skinner, J. R. (2019) Getting the most from medical VOC data using Bayesian feature learning. PhD thesis, University of Warwick.
Tsakalidis, Adam (2018) Nowcasting user behaviour with social media and smart devices on a longitudinal basis: from macro- to micro-level modelling. PhD thesis, University of Warwick.
Weedon, Timothy Michael William (1970) The partial correlation function in the identification of non-linear systems and an eye position transducer. PhD thesis, University of Warwick.
Wicaksono, Alfian (2021) Diagnosis of human disease by odour analysis employing machine learning. PhD thesis, University of Warwick.
Wu, Wentai (2021) Towards efficient horizontal federated learning. PhD thesis, University of Warwick.
Zhang, Jincheng (2021) Machine learning based modelling and control of wind turbine structures and wind farm wakes. PhD thesis, University of Warwick.
Dataset
Arnold, Eduardo, Dianati, Mehrdad, de Temple, Robert and Fallah, Saber (2021) Data for Cooperative perception for 3D object detection in driving scenarios using infrastructure sensors. [Dataset]
Donnelly, Jane M., Lermyte, Frederik, Wolny, Juliusz A., Walker, M., Breeze, B. G., Needham, Russell J., Müller, C. S., O'Connor, Peter B., Schünemann, Volker, Collingwood, Joanna F. and Sadler, Peter J. (2020) Data for Cu(III)–bis-thiolato complex forms an unusual mono-thiolato Cu(III)–peroxido adduct. [Dataset]
Khovanov, I. A. (2021) Data for Stochastic approach for assessing the predictability of chaotic time-series using reservoir computing. [Dataset]
Khovanov, I. A., Perry, S. and Khovanova, N. A. (2021) Data for Asymmetry of synchronisation tongue in persistent sodium plus potassium neuron model. [Dataset]
Book Review
Dutta, Ritaban (2006) Review of "clustering for data mining: a data recovery approach" by Boris Mirkin. BioMedical Engineering OnLine, Vol. 5 (No. 34). ISSN 1475-925X