Journal Article

Abascal, Ángela, Rothwell, Natalie, Shonowo, Adenike, Thomson, Dana R., Elias, Peter, Elsey, Helen, Yeboah, Godwin and Kuffer, Monika (2022) “Domains of deprivation framework” for mapping slums, informal settlements, and other deprived areas in LMICs to improve urban planning and policy : a scoping review. Computers, Environment and Urban Systems, 93 . 101770. doi:10.1016/j.compenvurbsys.2022.101770

Abba, Mustapha S., Nduka, Chidozie U., Anjorin, Seun S., Mohamed, Shukri F., Agogo, Emmanuel and Uthman, Olalekan A. (2022) One hundred years of hypertension research : a topic modelling study. JMIR Formative Research, 6 (5). e31292. doi:10.2196/31292

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

Adewoyin, Rilwan A., Dueben, Peter, Watson, Peter, He, Yulan and Dutta, Ritabrata (2022) TRU-NET : a deep learning approach to high resolution prediction of rainfall. Machine Learning, 110 (8). pp. 2035-2062. doi:10.1007/s10994-021-06022-6

Ahmadi-Assalemi, Gabriela, Al-Khateeb, Haider, Epiphaniou, Gregory and Aggoun, Amar (2022) Super learner ensemble for anomaly detection and cyber-risk quantification in industrial control systems. IEEE Internet of Things Journal, 9 (15). pp. 13279-13297. doi:10.1109/JIOT.2022.3144127

Akbar, Rahmad, Bashour, Habib, Rawat, Puneet, Robert, Philippe A., Smorodina, Eva, Cotet, Tudor-Stefan, Flem-Karlsen, Karine, Frank, Robert, Mehta, Brij Bhushan, Vu, Mai Ha, Zengin, Talip, Gutierrez-Marcos, José F., Lund-Johansen, Fridtjof, Andersen, Jan Terje and Greiff, Victor (2022) Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs, 14 (1). 2008790. doi:10.1080/19420862.2021.2008790

Al-Amin, Mohammad, Barai, Anup, Ashwin, T. R. and Marco, James (2021) An insight to the degradation behaviour of the parallel connected lithium-ion battery cells. Energies, 14 . 4716. doi:10.3390/en14164716

Allik, J., Lauk, K. and Realo, Anu (2020) Indicators of the scientific impact of nations revisited. Trames, 24 . pp. 231-250. doi:10.3176/tr.2020.2.07

Allik, Jüri, Lauk, Kalmer and Realo, Anu (2020) Factors predicting the scientific wealth of nations. Cross-Cultural Research, 54 (4). pp. 364-397. doi:10.1177/1069397120910982

Allik, Jüri, Lauk, Kalmer and Realo, Anu (2020) The scientific impact derived From the disciplinary profiles. Frontiers in Research Metrics and Analytics, 5 . 569268. doi:10.3389/frma.2020.569268

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

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

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

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

Armstrong, David J., Pollacco, Don and Santerne, A. (2017) Transit shapes and self organising maps as a tool for ranking planetary candidates : application to Kepler and K2. Monthly Notices of the Royal Astronomical Society, 465 (3). pp. 2634-2642.

Arnold, Eduardo, Dianati, Mehrdad, de Temple, Robert and Fallah, Saber (2022) Cooperative perception for 3D object detection in driving scenarios using infrastructure sensors. IEEE Transactions on Intelligent Transportation Systems, 23 (3). pp. 1852-1864. doi:10.1109/TITS.2020.3028424

Arnold, Eduardo, Mozaffari, Sajjad and Dianati, Mehrdad (2022) Fast and robust registration of partially overlapping point clouds. IEEE Robotics and Automation Letters, 7 (2). pp. 1502-1509. doi:10.1109/LRA.2021.3137888

Auckland, Philip, Roscioli, Emanuele, Coker, H. L. E. and McAinsh, Andrew D. (2020) CENP-F stabilizes kinetochore-microtubule attachments and limits dynein stripping of corona cargoes. Journal of Cell Biology, 219 (5). e201905018. doi:10.1083/jcb.201905018

Badman, Ryan Paul, Hills, Thomas Trenholm and Akaishi, Rei (2020) Multiscale computation and dynamic attention in biological and artificial intelligence. Brain sciences, 10 (6). 396. doi:10.3390/brainsci10060396

Bagues, Manuel F., Sylos-Labini, Mauro and Zinovyeva, Natalia (2019) Connections in scientific committees and applicants’ self-selection : evidence from a natural randomized experiment. Labour Economics, 58 . pp. 81-97. doi:10.1016/j.labeco.2019.04.005

Bagues, Manuel F., Sylos-Labini, Mauro and Zinovyeva, Natalia (2017) Does the gender composition of scientific committees matter? American Economic Review, 107 (4). pp. 1207-1238. doi:10.1257/aer.20151211

Barakat, L., Taylor, Phillip M., Griffiths, Nathan, Taweel, A., Lucas, M. and Miles, S. (2018) Towards personalised and adaptive QoS assessments via context awareness. Computational Intelligence, 34 (2). pp. 468-494. doi:10.1111/coin.12129

Barnard, Trent, Hagan, Harry, Tseng, Steven and Sosso, Gabriele Cesare (2020) Less may be more : an informed reflection on molecular descriptors for drug design and discovery. Molecular Systems Design & Engineering, 5 (1). pp. 317-329. doi:10.1039/C9ME00109C

Bartram, Söhnke M., Branke, Jürgen, De Rossi, Giuliano and Motahari, Mehrshad (2021) Machine learning for active portfolio management. Journal of Financial Data Science, 3 (3). pp. 9-30. doi:10.3905/jfds.2021.1.071

Bartók, Albert P. and Csányi, Gábor (2015) Gaussian approximation potentials : a brief tutorial introduction. International Journal of Quantum Chemistry, 115 (16). pp. 1051-1057. doi:10.1002/qua.24927

Bartók, Albert P., De, Sandip, Poelking, Carl, Bernstein, Noam, Kermode, James R., Csányi, Gábor and Ceriotti, Michele (2017) Machine learning unifies the modeling of materials and molecules. Science Advances, 3 (12). e1701816. doi:10.1126/sciadv.1701816

Bartók, Albert P., Kermode, James R., Bernstein, Noam and Csányi, Gábor (2018) Machine learning a general-purpose interatomic potential for silicon. Physical Review X, 8 (4). 041048 . doi:10.1103/PhysRevX.8.041048

Basik, Fuat, Gedik, Bugra, Etemoglu, Cagri and Ferhatosmanoglu, Hakan (2018) Spatio-temporal linkage over location-enhanced services. IEEE Transactions on Mobile Computing, 17 (2). pp. 447-460. doi:10.1109/TMC.2017.2711027

Bayo, Djénabou, Honecker, Andreas and Roemer, Rudolf A. (2022) Machine learning the 2D percolation model. Journal of Physics: Conference Series, 2207 (1). 012057. doi:10.1088/1742-6596/2207/1/012057

Bellio, Ruggero, Kosmidis, Ioannis, Salvan, Alessandra and Sartori, Nicola (2023) Parametric bootstrap inference for stratified models with high-dimensional nuisance specifications. Statistica Sinica, 33 (3). doi:10.5705/ss.202021.0027 (In Press)

Benetos, Emmanouil, Ragano, Alessandro, Sgroi, Daniel and Tuckwell, Anthony (2022) Measuring national mood with music : using machine learning to construct a measure of national valence from audio data. Behavior Research Methods . doi:10.3758/s13428-021-01747-7 (In Press)

Beynon, Meurig and Russ, Steve (2008) Experimenting with computing. Journal of Applied Logic, Volume 6 (Number 4). pp. 476-489. doi:10.1016/j.jal.2008.09.008

Bianchi, Daniele, Büchner, Matthias and Tamoni, Andrea (2021) Bond risk premiums with machine learning. The Review of Financial Studies, 34 (2). pp. 1046-1089. doi:10.1093/rfs/hhaa062

Borgese, Laura, Bilo, Fabjola, Federici, Stefania, Margui, Eva, Hase, Thomas P. A., Huang, Yuying, Beckhoff, Burkhard and Depero, Laura E. (2020) Summary of ISO standard 20289 : total reflection X‐ray fluorescence analysis of water. Surface and Interface Analysis, 52 (3). pp. 119-123. doi:10.1002/sia.6720

Boutle, Ian, Taylor, Richard H. S. and Roemer, Rudolf A. (2007) El Niño and the delayed action oscillator. American Journal of Physics, Vol.75 (No.1). pp. 15-24. doi:10.1119/1.2358155

Brestovitsky, Anna and Ezer, Daphne (2019) A mass participatory experiment provides a rich temporal profile of temperature response in spring onions. Plant Direct, 3 (3). e00126. doi:10.1002/pld3.126

Bunte, Kerstin, Smith, David J., Chappell, M. J. (Michael J.), Hassan-Smith, Zaki K., Tomlinson, Jeremy W., Arlt, Wiebke and Tiňo, Peter (2018) Learning pharmacokinetic models for in vivo glucocorticoid activation. Journal of Theoretical Biology, 455 . pp. 222-231. doi:10.1016/j.jtbi.2018.07.025

Cabiddu, F., Patriotta, Gerardo and Allen, David G. (2022) Why do users trust algorithms? A review and conceptualization of initial trust and trust over time. European Management Journal . doi:10.1016/j.emj.2022.06.001 (In Press)

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 (In Press)

Cannizzaro, Sara and Anderson, Myrdene (2021) The end of Sebeok’s century meets twenty-first century pandemic : modeling through and beyond Sebeok’s systems, semiotics, science. Chinese Semiotic Studies, 17 (4). pp. 495-523. doi:10.1515/css-2021-2043

Catalano, Marta, Blasi, Pierpaolo De, Lijoi, Antonio and Prünster, Igor (2022) Posterior asymptotics for boosted Hierarchical Dirichlet Process mixtures. Journal of Machine Learning Research, 23 (80). pp. 1-23.

Challa, Pavan K., Kartanas, Tadas, Charmet, Jérôme and Knowles, Tuomas P. J. (2017) Microfluidic devices fabricated using fast wafer-scale LED-Lithography patterning. Biomicrofluidics, 11 (1). 014113 . doi:10.1063/1.4976690

Chandra, Yatish, Mukhopadhyay, Tanmoy, Adhikari, Sondipon and Figiel, Lukasz (2020) Size-dependent dynamic characteristics of graphene based multi-layer nano hetero-structures. Nanotechnology, 31 (14). 145705. doi:10.1088/1361-6528/ab6231

Chen, Chang-Hui, Brosa Planella, Ferran, O'Regan, Kieran, Gastol, Dominika E., Widanage, Widanalage Dhammika and Kendrick, Emma (2020) Development of experimental techniques for parameterization of multi-scale lithium-ion battery models. Journal of The Electrochemical Society, 167 (8). 080534. doi:10.1149/1945-7111/ab9050

Chen, Jingkun, Zhang, Jianguo, Debattista, Kurt and Han, Jungong (2022) Semi-supervised unpaired medical image segmentation through task-affinity consistency. IEEE Transactions on Medical Imaging . doi:10.1109/TMI.2022.3213372 (In Press)

Chen, Shufeng, Khastgir, Siddartha and Jennings, P. A. (Paul A.) (2021) Analyzing national responses to COVID-19 pandemic using STPA. Safety Science, 138 . 105195. doi:10.1016/j.ssci.2021.105195

Cheng, Wei, Rolls, Edmund T., Qiu, Jiang, Liu, Wei, Tang, Yanqing, Huang, ChuChung, Wang, XinFa, Zhang, Jie, Lin, Wei, Zheng, Lirong, Pu, JunCai, Tsai, Shih-Jen, Yang, Albert C., Lin, Ching-Po, Wang, Fei, Xie, Peng and Feng, Jianfeng (2016) Medial reward and lateral non-reward orbitofrontal cortex circuits change in opposite directions in depression. Brain, 139 (12). pp. 3296-3309. doi:10.1093/brain/aww255

Cinelli, Marco, Coles, Stuart R., Nadagouda, M. (Mallikarjuna), Blaszczynski, Jerzy, Slowinski, Roman, Varma, Rajender S. and Kirwan, Kerry (2015) A green chemistry-based classification model for the synthesis of silver nanoparticles. Green Chemistry, Volume 17 . pp. 2825-2839. doi:10.1039/c4gc02088j

Clarté, Grégoire, Robert, Christian P., Ryder, Robin and Stoehr, Julien (2021) Component-wise approximate Bayesian computation via Gibbs-like step. Biometrika, 108 (3). pp. 591-607. asaa090. doi:10.1093/biomet/asaa090

Clough, A. R. and Edwards, R. S. (Rachel S.) (2015) Characterisation of hidden defects using the near-field ultrasonic enhancement of Lamb waves. Ultrasonics, 59 . pp. 64-71. doi:10.1016/j.ultras.2015.01.012

Constantinides, Panos and Fitzmaurice, David A. (2018) Artificial intelligence in cardiology : applications, benefits and challenges. British Journal of Cardiology, 25 (3). pp. 86-87. doi:10.5837/bjc.2018.024

Cook, Sarah, Chan, Hui-Ling, Abolfathi, Soroush, Bending, G. D., Schäfer, Hendrik and Pearson, Jonathan M. (2020) Longitudinal dispersion of microplastics in aquatic flows using fluorometric techniques. Water Research, 170 . 115337. doi:10.1016/j.watres.2019.115337

Cooper, Andrew (2022) Hypotheses in Kant's philosophy of science. Studies in History and Philosophy of Science . doi:10.1016/j.shpsa.2022.04.007 (In Press)

Crevillén-García, David, Leung, Puiki and Shah, Akeel A. (2019) An emulator for kinetic Monte Carlo simulations of kinetically controlled metal electrodeposition. Journal of Physics: Conference Series, 1053 . 012081. doi:10.1088/1742-6596/1053/1/012081

Dawson, Peter Michael, Werkman, Marleen, Brooks-Pollock, Ellen and Tildesley, Michael J. (2015) Epidemic predictions in an imperfect world : modelling disease spread with partial data. Proceedings of the Royal Society B: Biological Sciences, Volume 282 (Number 1808). Article number 20150205. doi:10.1098/rspb.2015.0205

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

Deringer, Volker L., Bartók, Albert P., Bernstein, Noam, Wilkins, David M., Ceriotti, Michele and Csányi, Gábor (2021) Gaussian process regression for materials and molecules. Chemical Reviews, 121 (16). pp. 10073-10141. doi:10.1021/acs.chemrev.1c00022

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

Dong, Hongyang, Xie, Jingjie and Zhao, Xiaowei (2022) Wind farm control technologies : from classical control to reinforcement learning. Progress in Energy, 4 (3). 032006. doi:10.1088/2516-1083/ac6cc1

Dong, Hongyang, Zhang, Jincheng and Zhao, Xiaowei (2021) Intelligent wind farm control via deep reinforcement learning and high-fidelity simulations. Applied Energy, 292 . 116928. doi:10.1016/j.apenergy.2021.116928

Dong, Hongyang and Zhao, Xiaowei (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

Dong, Hongyang and Zhao, Xiaowei (2022) Wind-farm power tracking via preview-based robust reinforcement learning. IEEE Transactions on Industrial Informatics, 18 (3). pp. 1706-1715. doi:10.1109/TII.2021.3093300

Dong, Hongyang, Zhao, Xiaowei and Luo, Biao (2022) Optimal tracking control for uncertain nonlinear systems with prescribed performance via critic-only ADP. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52 (1). pp. 561-573. doi:10.1109/TSMC.2020.3003797

Driffield, Nigel L., Love, James H. and Yang, Yong (2016) Reverse international knowledge transfer in the MNE : (where) does affiliate performance boost parent performance? Research Policy, 45 (2). pp. 491-506. doi:10.1016/j.respol.2015.11.004

Drummond, Ross, Cheng, Chuan, Grant, Patrick and Duncan, Stephen (2022) Modelling the impedance response of graded LiFePO4 cathodes for Li-ion batteries. Journal of The Electrochemical Society, 169 (1). 010528. doi:10.1149/1945-7111/ac48c6

Dunbar, Oliver R. A., Dunlop, Matthew M., Elliott, Charles M., Hoang, Viet Ha and Stuart, Andrew M. (2020) Reconciling Bayesian and perimeter regularization for binary inversion. SIAM Journal on Scientific Computing, 42 (4). A1984-A2013. doi:10.1137/18M1179559

Eitzinger, Simon, Asiff, Amina, Watters, Kyle E., Iavarone, Anthony T., Knott, Gavin J., Doudna, Jennifer A. and Minhas, Fayyaz ul Amir Afsar (2020) Machine learning predicts new anti-CRISPR proteins. Nucleic Acids Research, 48 (9). pp. 4698-4708. doi:10.1093/nar/gkaa219

Elliott, Charles M. and Hatcher, L. (2021) Domain formation via phase separation for spherical biomembranes with small deformations. European Journal of Applied Mathematics, 32 (6). pp. 1127-1152. doi:10.1017/S0956792520000297

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 (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

Fan, Xijian and Tjahjadi, Tardi (2017) A dynamic framework based on local Zernike Moment and motion history image for facial expression recognition. Pattern Recognition, 64 . pp. 399-406. doi:10.1016/j.patcog.2016.12.002

Fan, Xijian and Tjahjadi, Tardi (2015) A spatial-temporal framework based on histogram of gradients and optical flow for facial expression recognition in video sequences. Pattern Recognition, 48 (11). pp. 3407-3416. doi:10.1016/j.patcog.2015.04.025

Fan, Xijian, Zhou, Rui, Tjahjadi, Tardi, Das Choudhury, Sruti and Ye, Qiaolin (2022) A segmentation-guided deep learning framework for leaf counting. Frontiers in Plant Science, 13 . 844522. doi:10.3389/fpls.2022.844522

Faraji Niri, Mona, Liu, Kailong, Apachitei, Geanina, Lain, Michael J., Widanage, Widanalage Dhammika and Marco, James (2022) Quantifying key factors for optimised manufacturing of Li-ion battery anode and cathode via artificial intelligence. Energy and AI, 100 . 100129. doi:10.1016/j.egyai.2021.100129

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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

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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

Howells, Geraint and Twigg-Flesner, Christian (2022) Interconnectivity and liability : AI and the Internet of Things. In: DiMatteo, Larry A. and Poncibò, Cristina and Cannarsa, Michel, (eds.) The Cambridge Handbook of Artificial Intelligence. Cambridge Law Handbooks . Cambridge: Cambridge University Press, pp. 179-199. ISBN 9781316512807

Peter, Mooney, Grinberger, A. Yair, Marco, Minghini, Serena, Coetzee, Levente, Juhasz and Yeboah, Godwin (2021) OpenStreetMap data use cases during the early months of the COVID-19 pandemic. In: Abbas, Rajabifard and Daniel, Paez and Greg, Foliente, (eds.) COVID-19 Pandemic, Geospatial Information, and Community Resilience: Global Applications and Lessons. CRC Press, Taylor & Francis Group, pp. 171-186. ISBN 9780367775315

Reigeluth, Tyler and Castelle, Michael (2020) What kind of learning is machine learning? In: Roberge, Jonathan and Castelle, Michael, (eds.) The Cultural Life of Machine Learning : An Incursion into Critical AI Studies. Cham, Switzerland: Palgrave Macmillan, pp. 79-115. ISBN 9783030562854

Conference Item

Aglietti, Virginia, Dhir, N., Gonzalez, J. and Damoulas, Theodoros (2021) Dynamic causal Bayesian optimisation. In: Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2021), Virtual, 6-14 Dec 2021. Published in: Advances in Neural Information Processing Systems, 34 pp. 10549-10560.

Alharthi, Khalid, Jhumka, Arshad, Di, Sheng, Cappello, Franck and Chuah, Edward (2021) Sentiment analysis based error detection for large-scale systems. In: 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) (DSN'21), Taipei, Taiwan, 21-24 Jun 2021. Published in: 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) ISBN 9781665411943. ISSN 1530-0889. doi:10.1109/DSN48987.2021.00037

Alharthi, Khalid, Jhumka, Arshad, Sheng, Di and Cappello, Franck (2022) Clairvoyant : a log-based transformer-decoder for failure prediction in large-scale systems. In: ACM International Conference on Supercomputing, Virtual, 27-30 Jun 2022. Published in: ICS '22: Proceedings of the 36th ACM International Conference on Supercomputing pp. 1-14. ISBN 9781450392815. doi:10.1145/3524059.3532374

Atkinson, Malcolm, Esnouf, Robert, Marmier, Arnaud, Meredith, David, Osmond, Michele, Peters, Simon, Allan, Rob, Stevens, Robert, Trefethen, Anne, Ure, Jenny, Zasada, Stephan and Youn, Choohan (2006) Report of the user requirements and web based access for eResearch workshops. In: User Requirements and Web based Access for eResearch, Edinburgh, UK, 19 May 2006 pp. 1-25.

Bailey, Toby and Gale, Michael B. (2021) Chesskell : a two- player game at the type level. In: 14th ACM SIGPLAN International Haskell Symposium, Virtual conference, 26-27 Aug 2021. Published in: Haskell 2021: Proceedings of the 14th ACM SIGPLAN International Symposium on Haskell pp. 110-121. doi:10.1145/3471874.3472987

Bishop, Nicholas, Chan, Hau, Mandal, Debmalya and Tran-Thanh, Long (2022) Sequential blocked matching. In: Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Virtual conference, 22 Feb- 01 Mar 2022. Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 36 (5). pp. 4834-4842. doi:10.1609/aaai.v36i5.20411

Bishop, Nicholas, Tran-Thanh, Long and Gerding, Enrico (2020) Optimal learning from verified training data. In: 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Virtual, 7-12 Oct 2020. Published in: Advances in Neural Information Processing Systems, 33

Crosby, Henry James, Davis, Paul, Damoulas, Theodoros and Jarvis, Stephen A. (2016) A spatio-temporal, Gaussian Process Regression, real-estate price predictor. In: 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), San Francisco, 31 Oct - 3 Nov 2016. Published in: GIS '16 Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems p. 68. ISBN 9781450345897 .

Cunningham, Teddy (2022) Sharing and generating privacy-preserving spatio-temporal data using real-world knowledge. In: 23rd IEEE International Conference on Mobile Data Management (MDM), Paphos, Cyprus ; Online, 6-9 Jul 2022 doi:10.1109/MDM55031.2022.00074 (In Press)

Daum, David A., Deb, Kalyanmoy and Branke, Jürgen (2007) Reliability-based optimization for multiple constraints with evolutionary algorithms. In: IEEE Congress on Evolutionary Computation, Singapore, 25-28 September 2007. Published in: IEEE Transactions on Evolutionary Computation pp. 911-918. ISSN 1089-778X. doi:10.1109/CEC.2007.4424567

Dong, Hongyang and Zhao, Xiaowei (2022) Intelligent wind farm control via grouping-based reinforcement learning. In: 2022 European Control Conference (ECC), London, UK, 12-15 Jul 2022 pp. 993-998. ISBN 9783907144077. doi:10.23919/ECC55457.2022.9838151

Fan, Chuang, Yuan, Chaofa, Du, Jiachen, Gui, Lin, Yang, Min and Xu, Ruifeng (2020) Transition-based directed graph construction for emotion-cause pair extraction. In: 2020 Annual Conference of the Association for Computational Linguistics, 5-10 Jul 2020 . Published in: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics pp. 3707-3717. doi:10.18653/v1/2020.acl-main.342

Foo, Mathias, Sawlekar, Rucha, Kulkarni, Vishwesh V. and Bates, Declan (2016) Biologically inspired design of feedback control systems implemented using DNA strand displacement reactions. In: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, Florida, 16-20 Aug 2016. Published in: 2016 IEEE 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ISSN 1558-4615.

Gascon, Adrià, Tiwari, Ashish, Carmer, Brent and Mathur, Umang (2017) Look for the proof to find the program : decorated-component-based program synthesis. In: Computer Aided Verification - 29th International Conference, CAV 2017, Proceedings, Part II, Heidelberg, Germany, 24-28 Jul 2017, 10427 pp. 86-103. ISBN 9783319633893. ISSN 0302-9743. doi:10.1007/978-3-319-63390-9

Goldberg, Halley, Kabanets, Valentine, Lu, Zhenjian and Oliveira, Igor C. (2022) Probabilistic Kolmogorov complexity with applications to average-case complexity. In: Computational Complexity Conference (CCC), Philadelphia, PA, USA, 21–23 Jul 2022. Published in: 37th Computational Complexity Conference (CCC 2022), 234 16:1-16:60. ISBN 9783959772419. ISSN 1868-8969. doi:10.4230/LIPIcs.CCC.2022.16

Gonzalez, Ricardo Aguilar and Yeboah, Godwin (2022) Foodscapes of bread in sixteenth-century New Spain using a historical gazetteer. In: Spatial Humanities 2022, Ghent, Belgium, 07-09 Sep 2022

Griffiths, Nathan and Luck, Michael (Michael M.) (2010) Norm emergence in tag-based cooperation. In: 9th International Workshop on Coordination, Organization, Institutions and Norms in Multi-Agent Systems (COIN10), Toronto, Canada, 10-14 May 2010 pp. 80-87.

Gui, Lin, Leng, Jia, Pergola, Gabriele, Zhou, Yu, Xu, Ruifeng and He, Yulan (2019) Neural topic model with reinforcement learning. In: 2019 Conference on Empirical Methods in Natural Language Processing, Hong Kong, 3-7 Nov 2019. Published in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) pp. 3478-3483. doi:10.18653/v1/D19-1350

Khan, Mohammed Omar, Lim Choi Keung, Sarah Niukyun, Quenby, Siobhan, Coomarasamy, Arri and Arvanitis, Theodoros N. (2018) Design considerations for tools supporting multi-centre clinical trials. In: AMIA 2018 Informatics Summit, San Francisco, USA, 12-15 Mar 2018 (Unpublished)

Kilbertus, Niki, Gascon, Adrià, Kusner, Matt, Veale, Michael, Gummadi , Krishna P. and Weller, Adrian (2018) Blind justice : fairness with encrypted sensitive attributes. In: 35th International Conference on Machine Learning, ICML 2018, Stockholm, Sweden, 10-15 Jul 2018. Published in: Proceedings of the 35th International Conference on Machine Learning, 80 pp. 2630-2639. ISSN 1938-7228.

Kulkarni, Vishwesh V. and Raman, Karthik (2016) Fast identification of synthetic lethals using quadratic programming. In: Synthetic Biology UK 2016, Edinburgh, 14-16 Nov 2016. Published in: Synthetic Biology UK 2016

Le, Anhtuan and Maple, Carsten (2019) Shadows don’t lie : n-sequence trajectory inspection for misbehaviour detection and classification in VANETs. In: 2019 IEEE 90th Vehicular Technology Conference : VTC2019, Honolulu, Hawaii, 22-25 Sep 2019. Published in: 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall) ISSN 2577-2465. doi:10.1109/VTCFall.2019.8891137

Lee, Royson, Dudziak, Łukasz, Abdelfattah, Mohamed , Venieris, Stylianos I. , Kim, Hyeji , Wen, Hongkai and Lane, Nicholas D. (2020) Journey towards tiny perceptual super-resolution. In: 16th European Conference on Computer Vision, Virtual conference, 23-28 Aug 2020. Published in: Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XXVI, 12371 pp. 85-102. ISBN 9783030585730. doi:10.1007/978-3-030-58574-7_6

Lemercier, Maud, Salvi, Cristopher, Cass, Thomas, Bonilla, Edwin V., Damoulas, Theodoros and Lyons, Terry (2021) SigGPDE : scaling sparse Gaussian processes on sequential data. In: ICML : 2021 Thirty-eighth International Conference on Machine Learning, Virtual, 18-24 Jul 2021. Published in: Proceedings of the 38th International Conference on Machine Learning, 139 pp. 6233-6242. ISSN 2640-3498.

Liang, Bin, Chen, Zixiao, Gui, Lin, He, Yulan, Yang, Min and Xu, Ruifeng (2022) Zero-shot stance detection via contrastive learning. In: WWW '22: The ACM Web Conference, Online, hosted Lyon, France, 25–29 Apr 2022. Published in: WWW '22: Proceedings of the ACM Web Conference 2022 pp. 2738-2747. ISBN 9781450390965. doi:10.1145/3485447.3511994

Liang, Bin, Lou, Chenwei, Li, Xiang, Yang, Min, Gui, Lin, He, Yulan, Pei, Wenjie and Xu, Ruifeng (2022) Multi-modal sarcasm detection via cross-modal graph convolutional network. In: The 60th Annual Meeting of the Association for Computational Linguistics (ACL), Dublin, Ireland, 22-27 May 2022. Published in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1 pp. 1767-1777. doi:10.18653/v1/2022.acl-long.124

Liang, Bin, Su, Hang, Yin, Rongdi, Gui, Lin, Yang, Min, Zhao, Qin, Yu, Xiaoqi and Xu, Ruifeng (2021) Beta distribution guided aspect-aware graph for aspect category sentiment analysis with affective knowledge. In: The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Online ; Punta Cana, Dominican Republic, 7–11 Nov 2021. Published in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing pp. 208-218.

Liang, Bin, Zhu, Qinlin, Li, Xiang, Yang, Min, Gui, Lin, He, Yulan and Xu, Ruifeng (2022) JointCL : a joint contrastive learning framework for zero-shot stance detection. In: The 60th Annual Meeting of the Association for Computational Linguistics (ACL), Dublin, Ireland, 22-27 May 2022. Published in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1 pp. 81-91. doi:10.18653/v1/2022.acl-long.7

Liga, Gabriele, Czegledi, Cristian B, Xu, Tianhua, Agrell, Erik, Killey, Robert I. and Bayvel, Polina (2016) Ultra-wideband nonlinearity compensation performance in the presence of PMD. In: 42nd European Conference on Optical Communication (ECOC 2016), Dusseldorf, Germany, 18-22 Sep 2016. Published in: Proceedings of ECOC 2016 ; 42nd European Conference on Optical Communication ISBN 9783800742745.

Lim Choi Keung, Sarah Niukyun, Khan, Mohammed Omar, Perkins, Gavin D., Smith, Christopher Matthew, Murphy, Paddie and Arvanitis, Theodoros N. (2016) The role of informatics in prehospital emergency resuscitation and defibrillation. In: West Midlands Health Informatics Network (WIN) Conference 2016, University of Warwick, Coventry, UK, 26 Jan 2016. Published in: 2nd WIN Conference: Conference e-Proceedings pp. 27-28.

Lim Choi Keung, Sarah Niukyun, Zhao, Lei, Curcin, Vasa, Éthier, Jean-François, Burgun, Anita, McGilchrist, Mark, Bródka, Piotr, Tuligłowicz, Włodzimierz, Andreasson, Anna, Delaney, B. and Arvanitis, Theodoros N. (2015) TRANSFoRm : implementing a learning healthcare system in Europe through embedding clinical research into clinical practice. In: 2015 48th Hawaii International Conference on System Sciences, Kauai, Hawaii, 5-8 Jan 2015. Published in: 2015 48th Hawaii International Conference on System Sciences pp. 3176-3185. ISBN 9781479973675. ISSN 1530-1605 .

Liu, Yifan, Yang, Bowei and Xu, Tianhua (2020) Machine learning for fiber nonlinearity mitigation in long-haul coherent optical transmission systems. In: 11th International Conference on Advanced Infocomm Technology (ICAIT), Jinan, China, 18-20 Oct 2019. Published in: IEEE International Conference on Advanced Infocomm Technology (ICAIT) ISBN 9781728147789. doi:10.1109/ICAIT.2019.8935891

Ma, Qingzhi, Shanghooshabad, Ali M., Almasi, Mehrdad, Kurmanji, Meghdad and Triantafillou, Peter (2021) Learned approximate query processing : make it light, accurate and fast. In: Conference on Innovative Data Systems, (CIDR21), Virtual conference, 12-15 Jan 2021. Published in: Conference on Innovative Data Systems, (CIDR21)

Ma, Qingzhi and Triantafillou, Peter (2020) Query-centric regression for In-DBMS analytics. In: DOLAP 2020 Design, Optimization, Languages and Analytical Processing of Big Data, Copenhagen, Denmark, 30 Mar 2020. Published in: Proceedings of the 22nd International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data co-located with EDBT/ICDT 2020 Joint Conference (EDBT/ICDT 2020), 2572 pp. 16-25. ISSN 1613-0073.

Miller, David (2008) Haciendo trabajar a la ciencia. In: La conferencia inaugural de un seminario semanal organizado por la Facultad de Ingeniería de la Universidad Nacional de Colombia (sede Bogotá), Bogotá, Colombia, 10 Aug 2006 pp. 1-14. (Unpublished)

Miller, David (2012) Machine guessing I. In: J. S. Mill’s Ideas on Induction and Logic of the Humanities and Social Sciences in the Cognitive Research and in Artificial Intelligence Systems, Moscow, Jun 2011. Published in: Voprosy Filosofii, 2012 (7). pp. 110-119. (Unpublished)

Miller, David (2012) Machine guessing II. In: J. S. Mill’s Ideas on Induction and Logic of the Humanities and Social Sciences in the Cognitive Research and in Artificial Intelligence Systems, Moscow, Jun 2011. Published in: Voprosy Filosofii, 2012 (8). pp. 117-126. (Unpublished)

Minghini, Marco, Coetzee, Serena, Grinberger, A. Yair, Yeboah, Godwin, Juhász, Levente and Mooney, Peter (2020) Editorial : OpenStreetMap research in the COVID-19 era. In: State of the Map 2020, Online (originally planned in Cape Town, South Africa), 4-5 Jul 2020 pp. 1-4. doi:10.5281/zenodo.3922054

Parida, Kranti K., Matiyali, Niraj, Guha, Tanaya and Sharma, Gaurav (2020) Coordinated joint multimodal embeddings for generalized audio-visual zero-shot classification and retrieval of videos. In: IEEE Winter Conference on Applications of Computer Vision (WACV), Aspen, Colorado, 1-5 Mar 2020 pp. 3240-3249. ISBN 9781728165530. ISSN 2642-9381. doi:10.1109/WACV45572.2020.9093438

Pergola, Gabriele, Kochkina, Elena, Gui, Lin, Liakata, Maria and He, Yulan (2021) Boosting low-resource biomedical QA via entity-aware masking strategies. In: EACL 2021: The 16th Conference of the European Chapter of the Association for Computational Linguistics, Virtual conference, 19-23 Apr 2021. Published in: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume pp. 1977-1985. doi:10.18653/v1/2021.eacl-main.169

Rangi, Anshuka, Tran-Thanh, Long, Xu, Haifeng and Franceschetti, Massimo (2022) Saving stochastic bandits from poisoning attacks via limited data verification. In: Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), Virtual conference, 22 Feb- 01 Mar 2022. Published in: Proceedings of the AAAI Conference on Artificial Intelligence, 36 (7). pp. 8054-8061. ISSN 2374-3468. doi:10.1609/aaai.v36i7.20777

Rangi, Anshuka, Xu, Haifeng, Tran-Thanh, Long and Franceschetti, Massimo (2022) Understanding the limits of poisoning attacks in episodic reinforcement learning. In: International Joint Conference on Artificial Intelligence (IJCAI 2022), Vienna, Austria, 25-29 Jul 2022. Published in: Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022) pp. 3394-3400. doi:10.24963/ijcai.2022/471

Roy, Debaleena, Guha, Tanaya and Sanchez Silva, Victor (2021) Graph-based transform based on neural networks for intra-prediction of imaging data. In: IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2021), Gold Coast, Queensland, Australia, 25-28 Oct 2021. Published in: IEEE Xplore doi:10.1109/MLSP52302.2021.9596317

Sanyal, Amartya, Kusner, Matt, Gascon, Adria and Kanade, Varun (2018) TAPAS : tricks to accelerate (encrypted) prediction as a service. In: 35th International Conference on Machine Learning, ICML 2018, Stockholm, Sweden, 10-15 Jul 2018. Published in: Proceedings of the 35th International Conference on Machine Learning, 80 pp. 4490-4499. ISSN 2640-3498.

Savva, Fotis, Anagnostopoulos, Christos and Triantafillou, Peter (2020) Aggregate query prediction under dynamic workloads. In: 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, 9-12 Dec 2019 pp. 671-676. ISBN 9781728108582. doi:10.1109/BigData47090.2019.9006267

Sinha, Sumit, Franciosa, Pasquale and Ceglarek, Darek (2021) Object shape error response using Bayesian 3D convolutional neural networks for assembly systems with compliant parts. In: 18th IEEE International Conference on Industrial Informatics (INDIN), Coventry, 20-23 Jul 2020. Published in: 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) pp. 104-109. ISBN 9781728149646. ISSN 2378-363X. doi:10.1109/INDIN45582.2020.9442245

Tan, Xingwei, Pergola, Gabriele and He, Yulan (2021) Extracting event temporal relations via hyperbolic geometry. In: The 2021 Conference on Empirical Methods in Natural Language Processing, Online ; Punta Cana, Dominican Republic, 7–11 Nov 2021. Published in: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing pp. 8065-8077. doi:10.18653/v1/2021.emnlp-main.636

Wang, Kangrui, Hamelijnck, Oliver, Damoulas, Theodoros and Steel, Mark F. J. (2020) Non-separable non-stationary random fields. In: 37th International Conference on Machine Learning, ICML 2020, Remote, 13-18 Jul 2020. Published in: Proceedings of the 37th International Conference on Machine Learning, 119 pp. 9887-9897.

Wang, Yiting, Chan, Pak Hung and Donzella, Valentina (2022) A two-stage h.264 based video compression method for automotive cameras. In: The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022, Coventry, UK, 24-26 May 2022. Published in: Proccedings of the The 5th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS) 2022 (In Press)

Webb, Helena, Jirotka, Marina, Housley, William, Procter, Rob, Burnap, Pete, Edwards, Adam, Williams, Matthew, Stahl, Bernd and Rana, Omer (2017) The ethical challenges of publishing Twitter data for research dissemination. In: ACM Web Science Conference, Troy, New York State, USA, 25-28 June 2017. Published in: WebSci '17: Proceedings of the 2017 ACM on Web Science Conference pp. 339-348. doi:10.1145/3091478.3091489

Yang, Shanshan, (Researcher in computer science) and Evans, Chris (2019) Opportunities and challenges in using AI Chatbots in Higher Education. In: The 3rd International Conference on Education and E-Learning (ICEEL 2019), Barcelona, Spain, 5-7 Nov 2019. Published in: Proceedings of the 2019 3rd International Conference on Education and E-Learning pp. 79-83. ISBN 9781450372251. doi:10.1145/3371647.3371659

Yeo, Zhiquan, Choong Low, Jonathan Sze, Loong Tan, Daren Zong, Chung, Si Ying, Tjandra, Tobias Bestari and Ignatius, Joshua (2019) A collaboration platform for enabling industrial symbiosis : towards creating a self-learning waste-to-resource database for recommending industrial symbiosis transactions using text analytics. In: 26th CIRP Conference on Life Cycle Engineering, Purdue University, West Lafayette, IN, May 7-9 2019. Published in: Procedia CIRP, 80 pp. 643-648. ISSN 2212-8271. doi:10.1016/j.procir.2019.01.015

Zennaro, Fabio Massimo (2022) Abstraction between structural causal models : a review of definitions and properties. In: UAI 2022 Workshop on Causal Representation Learning, Eindhoven, Netherlands, 5 Aug 2022

Zennaro, Fabio Massimo, Turrini, Paolo and Damoulas, Theodoros (2022) Towards computing an optimal abstraction for structural causal models. In: UAI 2022 Workshop on Causal Representation Learning, Eindhoven, Netherlands, 5 Aug 2022

Zhang, Wenjian, Gui, Lin and He, Yulan (2021) Supervised contrastive learning for multimodal unreliable news detection in COVID-19 pandemic. In: 30th ACM International Conference on Information and Knowledge Management, Virtual conference, 01-05 Nov 2021. Published in: CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management pp. 3637-3641. doi:10.1145/3459637.3482196

Zhang, Yan, Khovanova, N. A. and Holt, Tim A. (2014) Inference of stochastic nonlinear equations for characterisation and prediction of prandial blood glucose levels. In: 8th European Nonlinear Dynamics Conference (ENOC 2014), Vienna, Austria, 6-11 Jul 2014. Published in: ENOC 2014 : Proceedings of 8th European Nonlinear Dynamics Conference ISBN 9783200034334.

Zhu, Lixing, Pergola, Gabriele, Gui, Lin, Zhou, Deyu and He, Yulan (2021) Topic-driven and knowledge-aware transformer for dialogue emotion detection. In: ACL 2021, Online, 2–4 Aug 2021. Published in: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language pp. 1571-1582.

Working or Discussion Paper

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)

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 (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 . doi:10.1007/s40747-022-00724-7 (In Press)

Report

Holliman, Richard, Collins, Trevor, Jensen, Eric and Taylor, Peter (2009) Isotope : Informing Science Outreach and Public Engagement. Final report of the NESTA-funded Isotope project. Milton Keynes: The Open University.

Kurtonina, Natasha and Rijke, Maarten de (1997) Expressiveness of first-order description logics. University of Warwick. Department of Computer Science. (Department of Computer Science research report). (Unpublished)

Palmer, N. and Goldberg, Paul W. (2004) PAC classification based on PAC estimates of label class distributions. University of Warwick. Department of Computer Science. (Department of Computer Science Research report). (Unpublished)

Thesis

Alsebae, Alaa (2014) Network coding for computer networking. PhD thesis, University of Warwick.

Baker, Lewis A. (2017) Understanding electronic energy transport in biologically relevant systems : the photochemistry of sunscreens and the photophysics of photosynthesis. PhD thesis, University of Warwick.

Buneman, Peter (1970) Models of learning and memory. PhD thesis, University of Warwick.

Büchner, Matthias (2020) Essays in empirical asset pricing with machine learning. PhD thesis, University of Warwick.

Chimbwete-Phiri, Rachel (2018) The reproduction and negotiation of knowledge in HIV/AIDS consultations in Malawi. PhD thesis, University of Warwick.

Clewley, Jonathan P., Jonathan P. (1976) Purification of Semliki Forest virus RNA - dependent RNA polymerase. PhD thesis, University of Warwick.

Cotton-Barratt, Rebecca (2013) Modelling biological form in evolution. PhD thesis, University of Warwick.

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.

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.

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.

Weedon, Timothy Michael William (1970) The partial correlation function in the identification of non-linear systems and an eye position transducer. PhD thesis, University of Warwick.

Wicaksono, Alfian (2021) Diagnosis of human disease by odour analysis employing machine learning. PhD thesis, University of Warwick.

Wu, Wentai (2021) Towards efficient horizontal federated learning. PhD thesis, University of Warwick.

Zhang, Jincheng (2021) Machine learning based modelling and control of wind turbine structures and wind farm wakes. PhD thesis, University of Warwick.

Dataset

Arnold, Eduardo, Dianati, Mehrdad, de Temple, Robert and Fallah, Saber (2021) Data for Cooperative perception for 3D object detection in driving scenarios using infrastructure sensors. [Dataset]

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]

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