Publications

P. Richtárik, M. Jahani, S. Ahipasaoglu, M.Takáč (2021). Alternating maximization: unifying framework for 8 sparse PCA formulations and efficient parallel codes. Optimization and Engineering 22 (3), 1493-1519.

S. Ahipasaoglu, U. Arıkan, K. Natarajan (2019). Distributionally robust Markovian traffic equilibrium. Transportation Science 53 (6), 1546-1562.

Padmanabhan, Divya, Ahipasaoglu, Selin Damla, Ramachandra, Arjun and Natarajan, Karthik (2022) Extremal probability bounds in combinatorial optimization. SIAM Journal on Optimization, 32 (4), 2828-2858

Ayling, Jacqueline, Anne and Chapman, Adriane (2021) Putting AI ethics to work: are the tools fit for purpose? AI and Ethics, 1-36

Hu, Yang & Wen, Guihua & Chapman, Adriane & Yang, Pei & Luo, Mingnan & Xu, Yingxue & Dai, Dan & Hall, Wendy. (2021). Graph-based Visual-Semantic Entanglement Network for Zero-shot Image Recognition. IEEE Transactions on Multimedia. PP. 1-1. 10.1109/TMM.2021.3082292.

Chapman, Adriane, Missier, Paolo, Simonelli, Giulia and Torlone, Riccardo (2020) Capturing and querying fine-grained provenance of preprocessing pipelines in data science. Proceedings of the VLDB Endowment, 14 (4), 507-520

Dunn, A.J., ElRefai, M.H., Roberts, P.R., Coniglio, S., Wiles, B.M. and Zemkoho, A.B. (2021). Deep learning methods for screening patients' S-ICD implantation eligibility. Artificial Intelligence in Medicine, 119, p.102139

Coniglio, S., Gianoli, L.G., Amaldi, E. and Capone, A., 2020. Elastic traffic engineering subject to a fair bandwidth allocation via bilevel programming. IEEE/ACM Transactions on Networking, 28(6), pp.2407-2420

Coniglio, S., Gatti, N. and Marchesi, A. (2020). Computing a pessimistic stackelberg equilibrium with multiple followers: The mixed-pure case. Algorithmica, 82(5), pp.1189-1238

Xinan Yang, Arne K. Strauss, Christine S. M. Currie, Richard Eglese (2014) Choice-Based Demand Management and Vehicle Routing in E-Fulfillment. Transportation Science 50(2):473-488.

Miguel F. Anjos, Russell C.H. Cheng, Christine S.M. Currie, Optimal pricing policies for perishable products, European Journal of Operational Research, Volume 166, Issue 1, 2005, Pages 246-254, ISSN 0377-2217,

Christine S.M. Currie, John W. Fowler, Kathy Kotiadis, Thomas Monks, Bhakti Stephan Onggo, Duncan A. Robertson & Antuela A. Tako (2020) How simulation modelling can help reduce the impact of COVID-19, Journal of Simulation, 14:2, 83-97, DOI: 10.1080/17477778.2020.1751570

Laura Diment, RaksmeyMutta Nguon, Sovansereyrathna Seng, Vannsnavy Sit, Ply Lors, Phearsa Thor, Samedy Srors, Sisary Kheng, Malcolm Granat, Maggie Donovan-Hall, Peter Worsley & Alex. Dickinson (2022). Activity, socket fit, comfort and community participation in lower limb prosthesis users: a Cambodian cohort study. Journal of NeuroEngineering and Rehabilitation 19, Article number: 42

A. Dickinson, L. Diment, R. Morris, E. Pearson, D. Hannett, J.Steer (2021). Characterising Residual Limb Morphology and Prosthetic Socket Design Based on Expert Clinician Practice. Prosthesis 2021, 3(4), 280-299

J. W. Steer, P. R. Worsley, M. Browne & A. Dickinson (2020). Predictive prosthetic socket design: part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven surrogate modelling. Biomechanics and Modeling in Mechanobiology volume 19, pages 1331–1346

Ellison, J., Dodd, E., & Forster, J. J. (2020). Forecasting of cohort fertility under a hierarchical Bayesian approach. Journal of the Royal Statistical Society: Series A (Statistics in Society), 183(3), 829-856

Hilton, J., Dodd, E., Forster, J. J., & Smith, P. W. F. (2019). Projecting UK mortality by using Bayesian generalized additive models. Journal of the Royal Statistical Society. Series C: Applied Statistics, 68(1), 29-49

Dodd, E., Forster, J., Bijak, J., & Smith, P. (2018). Smoothing mortality data: the English life table, 2010-12. Journal of the Royal Statistical Society: Series A (Statistics in Society), 181(3), 717-735

Ioan Ieremie, Rob M Ewing, Mahesan Niranjan (2022). TransformerGO: Predicting protein-protein interactions by modelling the attention between sets of gene ontology terms. Bioinformatics, 2022;, btac104

Sudipto Saha 1, Jean-Eudes Dazard, Hua Xu, Rob M Ewing (2021). Computational framework for analysis of prey-prey associations in interaction proteomics identifies novel human protein-protein interactions and networks. J. Proteome Res. 2012, 11, 9, 4476–4487

Hiromi W L Koh, Damian Fermin, Christine Vogel, Kwok Pui Choi, Rob M Ewing, Hyungwon Choi (2019). iOmicsPASS: network-based integration of multiomics data for predictive subnetwork discovery. npj Systems Biology and Applications volume 5, Article number: 22 (2019) 

Xin Du, Katayoun Farrahi, and Mahesan Niranjan (2019). Transfer learning across human activities using a cascade neural network architecture. In <i>Proceedings of the 23rd International Symposium on Wearable Computers</i> (<i>ISWC '19</i>). Association for Computing Machinery, New York, NY, USA, 35–44

Dimitris Spathis, Sandra Servia-Rodriguez, Katayoun Farrahi, Cecilia Mascolo, and Jason Rentfrow (2019). Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining. Association for Computing Machinery, New York, NY, USA, 2886–2894

Gernon, T.M., Hincks, T.K., Merdith, A., Rohling, E.J., Palmer, M.R., Foster, G.L., Bataille, C.P. and Muller, D (2021) Global chemical weathering dominated by continental arcs since the mid-Palaeozoic. Nature Geoscience 14, 690–696

Mazrouei, S., Ghent, R.R., Bottke, W.F., Parker, A.H., and Gernon, T.M (2019). Earth and Moon impact flux increased at the end of the Paleozoic. Science 363 (6424), 253

Hincks, T., Aspinall, W., Cooke, R., and Gernon, T.M. Oklahoma’s induced seismicity strongly linked to wastewater injection depth (2018). Science 359 (6381), 1251

Pauline Leonard, Roger Tyers (2021). Engineering the revolution? Imagining the role of new digital technologies in infrastructure work futures.

Pauline Leonard, Roger Tyers (2020). Making Smart Fair: Building Inclusive, Fair and Sustainable Transport for Cities of the Future.

B.MacArthur, C.L.Dorobantu, H.Z.Margetts (2022). Resilient government requires data science reform. Nat Hum Behav 6, 1035–1037.

Patrick S Stumpf, Fumio Arai and Ben D MacArthur (2021). Modelling stem cell fates using non-Markov processes. Cell Stem Cell 28(2), 187-190 (2021)

Fumio Arai, Patrick S Stumpf, Yoshiko M Ikushima, Kentaro Hosokawa, Aline Roch, Matthias P Luttolf, Toshio Suda and Ben D MacArthur (2020) Machine learning of hematopoietic stem cell divisions from paired daughter cell expression profiles reveals effects of aging on self-renewal. Cell Systems, 11:6, p640-652.E5 (2020)

Manghani, S. (2020) ‘Zero Degree Image: From the Empirical Image to Image as Capacity’, in E. Alloa and C. Cappelletto (eds.) Dynamis of Images: Moving Images In a Global World. Contact Zones series, De Gruyter, pp.263-285.

Manghani, Sunil (2017) ‘The Art of Paolo Cirio: Exposing New Myths of Big Data Structures’, Theory, Culture & Society, Vol. 34, No. 7-8, pp.197-214

Middleton, Stuart, Letouz, Emmanuel, Hossaini, Ali and Chapman, Age (2022). Trust, regulation and human-in-the-loop artificial intelligence within the European region. Communications of the ACM. (In Press)

Middleton, Stuart (2021) Use of Artificial Intelligence to support cybercrime research. In, Lavorgna, Anita and Holt, Thomas (eds.) Researching Cybercrimes: Methodologies, Ethics, and Critical Approaches. 1 ed. Palgarave Macmillan, pp. 213-232

Middleton, Stuart, Kordopatis-Zilos, Giorgos, Papadopoulos, Symeon and Kompatsiaris, Yiannis (2018) Location extraction from social media: geoparsing, location disambiguation and geotagging. ACM Transactions on Information Systems, 36 (4), 1-27, [40]

Ogden, H. (2021). On the error in Laplace approximations of high-dimensional integrals. Stat, 10(1), [e380]

Bohning, D., & Ogden, H. (2021). General flation models for count data. Metrika, 84(2), 245-261

Ogden, H. (2017). On asymptotic validity of naive inference with an approximate likelihood. Biometrika, 104(1), 153-164

C. Zhao, N. Xiu, H.-D. Qi and Z. Luo (2021). A Lagrange-Newton algorithm for sparse nonlinear programming. Mathematical Programming

S. Zhou, N. Xiu, and H.-D. Qi (2021). Global and quadratic convergence of Newton hard-thresholding pursuit. Journal of Machine Learning Research, 22 (12), (2021), 1-45.

S. Zhou, N. Xiu, and H.-D. Qi (2020). Robust Euclidean embedding via EDM optimization. Mathematical Programming Computation, 12 (2020), 337-387.

Early, J., Evers, C. and Ramchurn, S. (2022). Model Agnostic Interpretability for Multiple Instance Learning. In International Conference on Learning Representations

Mohammad Divband Soorati, Jediah Clark, Javad Ghofrani, Danesh Tarapore, and Sarvapali D. Ramchurn (2021). Designing a User-Centered Interaction Interface for Human–Swarm Teaming. Drones 5, no. 4 (2021): 131

Mohammad Divband Soorati, Dimitar Georgiev, Javad Ghofrani, Danesh Tarapore, and Sarvapali D. Ramchurn (2020). Human-Swarm Teaming with Proximal Interactions. International Conference on Swarm Intelligence, Springer: 349-350.

Mestre, R., Milicin, R., Middleton, S., Ryan, M., Zhu, J., & Norman, T. (2021). M-Arg: multimodal argument mining dataset for political debates with audio and transcripts. The 8th Workshop on Argument Mining at the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Mestre, Rafael, Middleton, Stuart E., Ryan, Matt, Gheasi, Masood, Norman, Timothy and Zhu, Jiatong (2023) Augmenting pre-trained language models with audio feature embedding for argumentation mining in political debates. In Findings of the 17th conference on European Chapter of the Association for Computational Linguistics (EACL)

Gastil, J., Richards Jr., R. C., Ryan, M., & Smith, G. (2017). Testing assumptions in deliberative democratic design: the participedia data archive as an analytic tool. Journal of Public Deliberation, 13(2), [1]

Hannah R Meredith, John R Giles, Javier Perez-Saez, Théophile Mande, Andrea Rinaldo, Simon Mutembo, Elliot N Kabalo, Kabondo Makungo, Caroline O Buckee, Andrew J Tatem, C Jessica E Metcalf, Amy Wesolowski (2021). Characterizing human mobility patterns in rural settings of sub-Saharan Africa. eLife 2021;10:e68441

David Méndez, Rubén J. Sánchez-García (2021). A directed persistent homology theory for dissimilarity functions

Fabio Strazzeri, Rubén J. Sánchez-García (2021). Possibility results for graph clustering: A novel consistency axiom

Rubén J. Sánchez-García (2020). Exploiting symmetry in network analysis. Communications Physics volume 3, Article number: 87 

Sarvapali D.Ramchurn, Sebastian Stein, Nicholas R.Jennings (2021). Trustworthy human-AI partnerships. iScience, Volume 24, Issue 8

Tatsuya Iwase, Sebastian Stein, Enrico H. Gerding (2021). A Polynomial-time, Truthful, Individually Rational and Budget Balanced Ridesharing Mechanism. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Main Track. Pages 268-275

Stein, Sebastian, Ochal, Mateusz, Moisoiu, Ioana-Adriana, Gerding, Enrico, Ganti, Raghu, He, Ting and La Porta, Tom (2020). Strategyproof reinforcement learning for online resource allocation. AAMAS '20: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems. University of Auckland. 1296–1304

N. W. Ruktanonchai, R. Floyd, S. Lai, C. W. Ruktanonchai, A. Sadilek, Rente-Lourenco, X. Ben, A. Caroilo, J. Gwinn, A. J. Tatem (2020). Assessing the impact of coordinated COVID-19 exit strategies across Europe. Science, Vol 369, Issue 6510, pp. 1465-1470

Shengjie Lai, Nick W. Ruktanonchai, Liangcai Zhou, Olivia Prosper, Wei Luo, Jessica R. Floyd, Amy Wesolowski, Mauricio Santillana, Chi Zhang, Xiangjun Du, Hongjie Yu & Andrew J. Tatem (2020). Effect of non-pharmaceutical interventions to contain COVID-19 in China. Nature, 585, pages 410–413

Ugwudike, P and Fleming, J (2021). Artificial intelligence, digital capital, and epistemic domination on Twitter: A study of families affected by imprisonment. Sage Journals, Punishment & Society

Lavorgna, A, Ugwudike, P. (2021). The datafication revolution in criminal justice: An empirical exploration of frames portraying data-driven technologies for crime prevention and control. Sage Journals, Big Data & Society

Ugwudike, P (2020). Digital prediction technologies in the justice system: The implications of a ‘race-neutral’ agenda. Sage Journals, Theoretical Criminology, Volume: 24 issue: 3, page(s): 482-501

M. Wald (2021). AI Data-Driven Personalisation and Disability Inclusion. Frontiers in Artificial Intelligence

EA Draffan, C Ding, M Wald, H Everett, J Barrett, A Sasikant, C Geangu (2020). Can a Web Accessibility Checker Be Enhanced by the Use of AI?. In: Miesenberger K., Manduchi R., Covarrubias Rodriguez M., Peňáz P. (eds) Computers Helping People with Special Needs. ICCHP 2020. Lecture Notes in Computer Science, vol 12376. Springer, Cham

Ding C., Draffan E.A., Wald M. (2020) AI and Global AAC Symbol Communication. In: Miesenberger K., Manduchi R., Covarrubias Rodriguez M., Peňáz P. (eds) Computers Helping People with Special Needs. ICCHP 2020. Lecture Notes in Computer Science, vol 12376. Springer, Cham

Dunn, A.J., ElRefai, M.H., Roberts, P.R., Coniglio, S., Wiles, B.M., & Zemkoho, A.B. (2021). Deep learning methods for screening patients’ S-ICD implantation eligibility. Artificial Intelligence in Medicine 119:102139

Dinh, L.C., Nguyen, T.-D., Zemkoho, A.B. & Tran-Thanh, L. (2021). Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games. Proceedings of Machine Learning Research 132:1–25

Li, Q., Li, Z., and Zemkoho, A.B., 2021. Bilevel hyperparameter optimization for support vector classification: theoretical analysis and a solution method. arXiv preprint arXiv:2110.01697