Journal Article

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

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 (2020) Cooperative perception for 3D object detection in driving scenarios using infrastructure sensors. IEEE Transactions on Intelligent Transportation Systems . doi:10.1109/TITS.2020.3028424 (In Press)

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

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

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

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

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 (2020) Component-wise approximate Bayesian computation via Gibbs-like step. Biometrika . asaa090. doi:10.1093/biomet/asaa090 (In Press)

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

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, 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, Zhao, Xiaowei and Luo, Biao (2020) Optimal tracking control for uncertain nonlinear systems with prescribed performance via critic-only ADP. IEEE Transactions on Systems, Man, and Cybernetics: Systems . doi:10.1109/TSMC.2020.3003797 (In Press)

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

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. (2020) Domain formation via phase separation for spherical biomembranes with small deformations. European Journal of Applied Mathematics . doi:10.1017/S0956792520000297 (In Press)

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

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

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) Predicting quality of life and academic performance of school children in Norway : relative performance of machine learning and linear regression for modelling continuous outcomes. 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

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 (2020) AMP0 : species-specific prediction of anti-microbial peptides using zero and few shot learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics . doi:10.1109/TCBB.2020.2999399 (In Press)

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

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

Hongyang, Dong and Xiaowei , Zhao (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

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

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

Jingjie, Xie, Hongyang, Dong, Xiaowei , Zhao and Aris, Karcanias (2021) Wind farm power generation control via double-network-based deep reinforcement learning. IEEE Transactions on Industrial Informatics . doi:10.1109/TII.2021.3095563 (In Press)

(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

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 (2021) Propagating visual designs to numerous plots and dashboards. IEEE Transactions on Visualization and Computer Graphics . doi:10.1109/TVCG.2021.3114828 (In Press)

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 . doi:10.1007/s10994-021-06116-1 (In Press)

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

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

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

(2010) Systematic integration of experimental data and models in systems biology. BMC Bioinformatics, 11 . 582. doi:10.1186/1471-2105-11-582

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, 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 (2021) Deployment optimization for shared e-mobility systems with multi-agent deep neural search. IEEE Transactions on Intelligent Transportation Systems . (In Press)

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

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 (2020) Deep learning-based vehicle behaviour prediction for autonomous driving applications : a review. IEEE Transactions on Intelligent Transportation Systems . doi:10.1109/TITS.2020.3012034 (In Press)

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

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

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 . doi:10.1080/23801883.2021.1892911 (In Press)

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 . doi:10.1109/TAES.2021.3094628 (In Press)

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

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, 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

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

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

(2021) Multi-omic machine learning predictor of breast cancer therapy response. Nature . doi:10.1038/s41586-021-04278-5 (In Press)

Sanchez Silva, Victor (2020) Rate control for predictive transform screen content video coding based on RANSAC. IEEE Transactions on Circuits and Systems for Video Technology . doi:10.1109/TCSVT.2020.3047296 (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) (2021) A digital score of tumour‐associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma. The Journal of Pathology . doi:10.1002/path.5819 (In Press)

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 . doi:10.1109/ACCESS.2021.3077592 (In Press)

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

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 . doi:10.1109/TMM.2021.3059169 (In Press)

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

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 (2021) A probability-based strong physical unclonable function with strong machine learning immunity. IEEE Electron Device Letters . p. 1. doi:10.1109/LED.2021.3130606 (In Press)

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

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

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, 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

Yazdani, D., Cheng, R. and Branke, Jürgen (2021) Adaptive control of sub-populations in evolutionary dynamic optimization. IEEE Transactions on Cybernetics . doi:10.1109/TCYB.2020.3036100 (In Press)

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, 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

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

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

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

Conference Item

Aglietti, Virginia, Dhir, N., Gonzalez, J. and Damoulas, Theodoros (2021) Dynamic causal Bayesian optimisation. In: Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021 (In Press)

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

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.

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 .

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

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 Machine Learning Research ISSN 2640-3498. (In Press)

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 Empirical Methods for Natural Language Processing (EMNLP) (In Press)

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

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 (In Press)

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 (In Press)

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.

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 (In Press)

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.

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 or Dissertation

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.

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.

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.

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.

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