Journal Article

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 . doi:10.1111/joms.12582 (In Press)

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

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

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

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

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

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

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, 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

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

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 (2020) Rho AI - Leveraging AI to address climate change : financing, implementation and ethics. Journal of Information Technology Teaching Cases . (In Press)

Fox, John, Khan, Omar, Curtis, Hywel, Wright, Andrew, Pal, Carla, Cockburn, Neil, Cooper, Jennifer, Chandan, Joht S. and Nirantharakumar, Krishnarajah (2020) Rapid translation of clinical guidelines into executable knowledge : a case study of COVID ‐19 and online demonstration. Learning Health Systems . doi:10.1002/lrh2.10236 (In Press)

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 . doi:10.1111/rssb.12356 (In Press)

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

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 (2020) The role of artificial intelligence and data network effect for creating user value. Academy of Management Review . doi:10.5465/amr.2019.0178 (In Press)

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

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

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

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

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

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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

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

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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

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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 . 101771. doi:10.1016/j.media.2020.101771 (In Press)

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

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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

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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, 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

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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 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

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

Wang, Kangrui, Hamelijnck, Oliver, Damoulas, Theodoros and Steel, Mark F. J. (2020) Nonstationary nonseparable random fields. In: 37th International Conference on Machine Learning, Remote, 12-18 Jul 2020. Published in: Proceedings of the 37 th International Conference on Machine Learning, 119 (In Press)

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

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

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

Zhang, 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.

Working or Discussion Paper

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

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).

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.

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.

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]

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