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 ISSN 01989715.

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 ISSN 2561-326X.

Abd-Alrazaq, Alaa, Alhuwail, Dari, Schneider, Jens, Toro, Carla T., Ahmed, Arfan, Alzubaidi, Mahmood, Alajlani, Mohannad and Househ, Mowafa (2022) The performance of artificial intelligence-driven technologies in diagnosing mental disorders : an umbrella review. Digital Medicine, 5 (1). 87. doi:10.1038/s41746-022-00631-8 ISSN 2398-6352.

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 ISSN 2632-2153.

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, 9 (15). pp. 13279-13297. doi:10.1109/JIOT.2022.3144127 ISSN 2327-4662.

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 ISSN 1942-0870.

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 ISSN 1996-1073.

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 ISSN 1406-0922.

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 ISSN 1069-3971.

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 ISSN 2504-0537.

Almasri, Firas (2022) Simulations to teach science subjects : connections among students’ engagement, self-confidence, satisfaction, and learning styles. Education and Information Technologies, 27 . pp. 7161-7181. doi:10.1007/s10639-022-10940-w ISSN 1360-2357.

Alonso-Martín, Pablo-Ramsés, Montes, Ignacio and Miranda, Enrique (2023) Distortion models for estimating human error probabilities. Safety Science, 157 . 105915. doi:10.1016/j.ssci.2022.105915 ISSN 0925-7535.

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 ISSN 0022-2380.

Anande, T. J. and Leeson, Mark S. (2022) Generative Adversarial Networks (GANs) : a survey of network traffic generation. International Journal of Machine Learning and Computing, 12 (6). pp. 333-343. doi:10.18178/ijmlc.2022.12.6.1120 ISSN 2010-3700.

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 ISSN 0022-4308.

Apanasionok, Magdalena Marta, Neil, Julie, Watkins, Richard C., Grindle, Corinna F. and Hastings, Richard P. (2020) Teaching science to students with developmental disabilities using the Early Science curriculum. Support for Learning, 35 (4). pp. 493-505. doi:10.1111/1467-9604.12329 ISSN 0268-2141.

Arana-Catania, Miguel, van Lier, Felix-Anselm and Procter, Rob (2022) Supporting peace negotiations in the Yemen war through machine learning. Data and Policy, 4 . e28. doi:10.1017/dap.2022.19 ISSN 2632-3249.

(2023) Steering self-organisation through confinement. Soft Matter, 19 (9). pp. 1695-1704. doi:10.1039/d2sm01562e ISSN 1744-683X.

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. ISSN 0035-8711.

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 ISSN 1524-9050.

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 ISSN 2377-3766.

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 ISSN 0021-9525.

Awan, Ruqayya, Raza, Shan-e-Ahmed, Lotz, Johannes, Weiss, Nick and Rajpoot, Nasir M. (2023) Deep feature based cross-slide registration. Computerized Medical Imaging and Graphics, 104 . 102162. doi:10.1016/j.compmedimag.2022.102162 ISSN 0895-6111.

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 ISSN 2076-3425.

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 ISSN 0927-5371.

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 ISSN 0002-8282.

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 ISSN 0824-7935.

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 ISSN 2058-9689.

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 ISSN 2640-3943.

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 ISSN 0020-7608.

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 ISSN 2375-2548.

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 ISSN 2160-3308.

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 ISSN 1536-1233.

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 ISSN 1742-6596.

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 ISSN 1017-0405. (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, 54 . pp. 3085-3092. doi:10.3758/s13428-021-01747-7 ISSN 1554-351X.

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 ISSN 1570-8683.

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 ISSN 0893-9454.

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 ISSN 0142-2421.

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 ISSN 0002-9505.

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 ISSN 2475-4455.

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 ISSN 0022-5193.

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, 40 (5). pp. 685-706. doi:10.1016/j.emj.2022.06.001 ISSN 0263-2373.

Cadogan, John W. and Lee, Nick (2022) Scientific realism, the necessity of causal contact in measurement and emergent variables. European Journal of Marketing . doi:10.1108/EJM-06-2021-0454 ISSN 0309-0566. (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 ISSN 2198-9605.

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. ISSN 1532-4435.

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 ISSN 1932-1058 .

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 ISSN 0957-4484.

Chang, Ching-Chun, Wang, Xu, Chen, Sisheng, Echizen, Isao, Sanchez, Victor and Li, Chang-Tsun (2023) Deep learning for predictive analytics in reversible steganography. IEEE Access, 11 . pp. 3494-3510. doi:10.1109/access.2023.3233976 ISSN 2169-3536.

Chater, Nick (2023) How could we make a social robot? A virtual bargaining approach. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences . ISSN 1364-503X. (In Press)

Chatrabgoun, Omid, Daneshkhah, Alireza, Esmaeilbeigi, Mohsen, Sohrabi Safa, Nader, Alenezi, Ali H. and Rahman, Arafatur (2022) Predicting primary sequence-based protein-protein interactions using a Mercer series representation of nonlinear Support Vector Machine. IEEE Access, 10 . pp. 124345-124354. doi:10.1109/ACCESS.2022.3223994 ISSN 2169-3536.

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 ISSN 0013-4651.

Chen, Jingkun, Zhang, Jianguo, Debattista, Kurt and Han, Jungong (2023) Semi-supervised unpaired medical image segmentation through task-affinity consistency. IEEE Transactions on Medical Imaging, 42 (3). pp. 594-605. doi:10.1109/TMI.2022.3213372 ISSN 0278-0062.

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 ISSN 0925-7535.

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 ISSN 0006-8950.

Chianese, Giovanni, Franciosa, Pasquale, Sun, Tianzhu, Ceglarek, Dariusz and Patalano, Stanislao (2022) Using photodiodes and supervised machine learning for automatic classification of weld defects in laser welding of thin foils copper-to-steel battery tabs. Journal of Laser Applications, 34 (4). 042040. doi:10.2351/7.0000800 ISSN 1042-346X.

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 ISSN 1463-9262.

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 ISSN 0006-3444.

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

Connelly, Erin, Lee, Christina, Furner-Pardoe, Jessica, Del Genio, Charo I. and Harrison, Freya (2022) A case study of the Ancientbiotics collaboration. Patterns, 3 (12). 100632. doi:10.1016/j.patter.2022.100632 ISSN 2666-3899.

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 ISSN 0969-6113.

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 ISSN 0043-1354.

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 ISSN 0039-3681. (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 ISSN 1742-6596.

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 ISSN 0962-8452.

Deb, Sanchari (2021) Machine learning for solving charging infrastructure planning problems : a comprehensive review. Energies, 14 (23). 7833. doi:10.3390/en14237833 ISSN 1996-1073.

Demirci, Gunduz Vehbi, Haldar, Aparajita and Ferhatosmanoglu, Hakan (2022) Scalable graph convolutional network training on distributed-memory systems. Proceedings of the VLDB Endowment, 16 (4). pp. 711-724. doi:10.14778/3574245.3574256 ISSN 2150-8097.

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 ISSN 0009-2665.

Dinh, Le Cong, Mguni, David Henry, Tran-Thanh, Long, Wang, Jun and Yang, Yaodong (2023) Online Markov decision processes with non-oblivious strategic adversary. Autonomous Agents and Multi-Agent Systems, 37 (1). 15. doi:10.1007/s10458-023-09599-5 ISSN 1387-2532.

Dominguez, Angeles, Hernandez-Martinez, Paul, Zavala, Genaro, Kambouri, Maria, Zubieta, Judith and Clark, Robin (2022) Applying the Delphi method with early-career researchers to explore a gender-issues agenda in STEM education. Eurasia Journal of Mathematics, Science and Technology Education, 18 (11). em2177. doi:10.29333/ejmste/12508 ISSN 1305-8223.

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 ISSN 2516-1083.

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 ISSN 0306-2619.

Dong, Hongyang and Zhao, Xiaowei (2022) Composite experience replay based deep reinforcement learning with application in wind farm control. IEEE Transactions on Control Systems Technology, 30 (3). pp. 1281-1295. doi:10.1109/TCST.2021.3102476 ISSN 1063-6536.

Dong, Hongyang and Zhao, Xiaowei (2023) Reinforcement learning-based wind farm control : towards large farm applications via automatic grouping and transfer learning. IEEE Transactions on Industrial Informatics . doi:10.1109/TII.2023.3252540 ISSN 1551-3203. (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 ISSN 1551-3203.

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 ISSN 2168-2216.

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 ISSN 0048-7333.

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 ISSN 0013-4651.

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 ISSN 1064-8275.

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 ISSN 1362-4962.

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 ISSN 0956-7925.

Es-haghi, Mohammad Sadegh, Rezania, Mohammad and Bagheri, Meghdad (2022) Machine learning-based estimation of soil’s true air-entry value from GSD curves. Gondwana Research . doi:10.1016/j.gr.2022.06.012 ISSN 1342-937X. (In Press)

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 ISSN 0168-1699.

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 ISSN 0031-3203.

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 ISSN 0031-3203.

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 ISSN 1664-462X.

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 ISSN 1996-1073.

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 ISSN 2504-2289.

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 ISSN 1424-8220.

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 ISSN 0377-2217.

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 ISSN 1664-2295.

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 ISSN 2043-8869.

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Ghalebikesabi, Sahra, Wilde, Harrison, Jewson, Jack, Doucet, Arnaud, Vollmer, Sebastian and Holmes, Chris (2022) Mitigating statistical bias within differentially private synthetic data. In: Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, Eindhoven, The Netherlands, 01-05 Aug 2022. Published in: Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, 180 pp. 696-705.

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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: Proceedings of the ACM Web Conference 2022 pp. 2738-2747. ISBN 9781450390965. doi:10.1145/3485447.3511994

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Liu, Jinqi, Zhang, Sizhe and Wang, Jihong (2022) Development and comparison of two computational intelligence algorithms for electrical load forecasts with multiple time scales. In: 2022 Power System and Green Energy Conference (PSGEC), Shanghai, China, 25-27 Aug 2022. Published in: 2022 Power System and Green Energy Conference (PSGEC) pp. 637-643. ISBN 9781665499941. doi:10.1109/PSGEC54663.2022.9881169

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Working or Discussion Paper

Ash, Elliott, Cai, David, Draca, Mirko and Liu, Shaoyu (2022) Bootstrapping science? The impact of a “return human capital” programme on Chinese research productivity. Working Paper. Coventry: University of Warwick. Department of Economics. Warwick economics research papers series (WERPS) (1416). (Unpublished)

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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

Bundy, Alan, Chater, Nick and Muggleton, Stephen (2023) Editorial : Introduction to Special issue on Cognitive Artificial Intelligence. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences .

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 (2022) 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, 16 (5). pp. 1344-1345. doi:10.1177/19322968211053884

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, 8 . pp. 5545-5561. doi:10.1007/s40747-022-00724-7

Submitted Journal Article

Nickson, David, Meyer, Caroline, Walasek, Lukasz and Toro, Carla T. (2023) Predicting depression using electronic health records : a systematic review. BMC Medical Informatics and Decision Making . doi:10.21203/rs.3.rs-2510168/v1 (Submitted)

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.

Dawson, Alexander Takahide Takao (2021) A multi-omics study of tapping and ethylene induction in Hevea brasiliensis. 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.

Furner-Pardoe, Jessica (2022) An interdisciplinary investigation into the antibacterial activity and chemical composition of the historical remedy Bald's eyesalve. PhD thesis, University of Warwick.

Garrett, Dion (2022) Utilising ecology and molecular techniques to identify alternative hosts, Green Bridges, and population structure of a serious aphid pest. 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.

Knoblauch, Jeremias (2021) Optimization-centric generalizations of Bayesian inference. 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.

Shearman, Kirstie Heidi (2022) Improving information for research participation. 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.

Tunstall, Harry Oliver (2022) A machine learned potential for silicon carbide. 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.

Ye, Youjie (2022) Machine learning for signal detection and estimation in wireless communications. 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.

Zidan, Jasmine (2022) Enhancing the robustness of global navigation satellite systems for connected and autonomous vehicles. 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]

Cook, Sarah, Chan, Hui-Ling, Abolfathi, Soroush, Bending, G. D., Schäfer, Hendrik and Pearson, Jonathan M. (2020) Data for Longitudinal dispersion of microplastics in aquatic flows using fluorometric techniques. [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]

Shaikhina, Torgyn, Lowe, David Philip, Daga, Sunil, Briggs, David, Higgins, Rob and Khovanova, N. A. (2017) Data for Decision tree and random forest models for outcome prediction in antibody incompatible kidney transplantation. [Dataset]

Walton, Richard I., Wheeler-Jones, Evé and Loveridge, Melanie (2023) Data for "A composite of Nb2O5 and MoO2 as a high-capacity high-rate anode material for li-ion batteries". [Dataset] (In Press)

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