Artificial Intelligence group
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Latest research outputs
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A taxonomy of intelligence measures
Gamez, D. 2026. A taxonomy of intelligence measures. Philosophies. 11 (4). https://doi.org/10.3390/philosophies11040113Article
Analysis of parameter settings for the bat algorithm using variance evolution
Yang, X. and Karamanoglu, M. 2026. Analysis of parameter settings for the bat algorithm using variance evolution. Neumann, P., Puma, M.J., Lees, M.H., Groen, D., Dongarra, J.J. and Sloot, P.M.A. (ed.) 26th International Conference on Computational Science. Hamburg, Germany 29 Jun - 01 Jul 2026 Springer. pp. 197-210 https://doi.org/10.1007/978-3-032-29924-6_14Conference paper
Neural radiance field based 3D view reconstruction for gastrointestinal tract surgery planning
Gao, X., Rahmanti, A. and Braden, B. 2026. Neural radiance field based 3D view reconstruction for gastrointestinal tract surgery planning. SN Computer Science. 7. https://doi.org/10.1007/s42979-026-05142-xArticle
Spiking neural networks: history, current status and the future
Huyck, C. 2026. Spiking neural networks: history, current status and the future. Dynamics. 6 (1). https://doi.org/10.3390/dynamics6010010Article
Value of information in Bayesian environments
Behringer, S. and Belavkin, R.V. 2026. Value of information in Bayesian environments. Moosaei, H., Belavkin, R. and Pardalos, P.M. (ed.) 8th International Conference on the Dynamics of Information Systems. London, UK 01 - 05 Jun 2025 Springer. pp. 16-24 https://doi.org/10.1007/978-3-032-16469-8_2Conference paper
Margin-aware active learning for user-adaptive text classification
Tirunagari, S., Dhami, M. and Windridge, D. 2026. Margin-aware active learning for user-adaptive text classification. Unger, H. and Meesad, P. (ed.) 9th International Conference on Natural Language Processing and Information Retrieval. Kyushu University, Fukuoka, Japan 12 - 14 Dec 2025 Springer. pp. 447-461 https://doi.org/10.1007/978-3-032-20897-2_33Conference paper
Analysis and optimization of probabilities of beneficial mutation and crossover recombination in a hamming space
Belavkin, R. 2026. Analysis and optimization of probabilities of beneficial mutation and crossover recombination in a hamming space. Annals of Mathematics and Artificial Intelligence. https://doi.org/10.1007/s10472-025-09987-5Article
The application of pre-trained transformer models to UK Court of Appeal legal judgments
Abbas, W., Zia, T., Tirunagari, S., Chennareddy, V., Dhami, M. and Windridge, D. 2025. The application of pre-trained transformer models to UK Court of Appeal legal judgments. Quan, T.T., Sombattheera, C., Pham, H.-A. and Tran, N.T. (ed.) 18th International Conference on Multi-disciplinary Trends in Artificial Intelligence. Ho Chi Minh City, Vietnam 03 - 05 Dec 2025 Singapore Springer. pp. 252-264 https://doi.org/10.1007/978-981-95-4963-4_21Conference paper
Kernel methods in the age of deep learning: from multimodal fusion to quantum machine learning
Windridge, D. 2025. Kernel methods in the age of deep learning: from multimodal fusion to quantum machine learning. 18th International Conference on Multi-disciplinary Trends in Artificial Intelligence. Ho Chi Minh City, Vietnam 03 - 05 Dec 2025Conference keynote
It is simple to program with spiking neurons
Huyck, C. and Obisesan, F. 2025. It is simple to program with spiking neurons. Electronics. 14 (22). https://doi.org/10.3390/electronics14224397Article
Exploring vision transformers and explainable AI for enhanced artefact classification in esophageal endoscopic images
Bissoonauth-Daiboo, P., Auzine, M.M., Inshal, M., Shannaq, F., Saba, T. and Gao, X. 2025. Exploring vision transformers and explainable AI for enhanced artefact classification in esophageal endoscopic images. IEEE Access. 13, pp. 176221-176244. https://doi.org/10.1109/ACCESS.2025.3616796Article
TravQuery: a customer support chatbot based on Retrieval Augmented Generation (RAG)
Farnaz, A. and Huyck, C. 2025. TravQuery: a customer support chatbot based on Retrieval Augmented Generation (RAG). Bramer, M. and Stahl, F. (ed.) 45th SGAI International Conference on Artificial Intelligence. Cambridge, UK 16 - 18 Dec 2025 Springer. pp. 130-140 https://doi.org/10.1007/978-3-032-11402-0_10Conference paper
Navigating the N-Person Prisoner's Dilemma: from the tragic valley to the collaborative hill
Tcaci, C. and Huyck, C. 2025. Navigating the N-Person Prisoner's Dilemma: from the tragic valley to the collaborative hill. Bramer, M. and Stahl, F (ed.) 45th SGAI International Conference on Artificial Intelligence. Cambridge, UK 16 - 18 Dec 2025 Springer. pp. 259-269 https://doi.org/10.1007/978-3-032-11402-0_19Conference paper
Classical to quantum knowledge distillation: a study on the impact of hybridization
Piperno, S., Vittori, G., Windridge, D., Rosato, A. and Panella, M. 2025. Classical to quantum knowledge distillation: a study on the impact of hybridization. 2025 International Joint Conference on Neural Networks. Rome, Italy 30 Jun - 05 Jul 2025 IEEE. https://doi.org/10.1109/ijcnn64981.2025.11227730Conference paper
Parameter tuning of the firefly algorithm by three tuning methods: Standard Monte Carlo, quasi-Monte Carlo and latin hypercube sampling methods
Joy, G., Huyck, C. and Yang, X. 2025. Parameter tuning of the firefly algorithm by three tuning methods: Standard Monte Carlo, quasi-Monte Carlo and latin hypercube sampling methods. Journal of Computational Science. https://doi.org/10.1016/j.jocs.2025.102588Article
A latent diffusion approach to visual attribution in medical imaging
Siddiqui, A.A., Tirunagari, S., Zia, T. and Windridge, D. 2025. A latent diffusion approach to visual attribution in medical imaging. Scientific Reports. 15 (1). https://doi.org/10.1038/s41598-024-81646-xArticle
Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings
Liu, X., Barth, K., Windridge, D. and Xu, K. 2024. Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings. 52nd Photovoltaic Specialist Conference. Seattle, WA, USA 09 - 14 Jun 2024 IEEE. pp. 0281-0283 https://doi.org/10.1109/pvsc57443.2024.10749288Conference paper
Quantum enhanced knowledge distillation
Simone, P., Lavagna, L., De Falco, F,, Ceschini, A., Rosato, A., Windridge, D. and Panella, M. 2024. Quantum enhanced knowledge distillation. Quantum Techniques in Machine Learning 2024 Conference. Melbourne, Australia 24 - 29 Nov 2024Conference item
Quasi Biologically Plausible Category Learning
Huyck, C. 2024. Quasi Biologically Plausible Category Learning. Bramer, M. and Stahl, F. (ed.) 44th SGAI International Conference on Artificial Intelligence, AI 2024. Cambridge, UK 17 - 19 Dec 2024 Springer. pp. 33-46 https://doi.org/10.1007/978-3-031-77915-2_3Conference paper
A generalized evolutionary metaheuristic (GEM) algorithm for engineering optimization
Yang, X. 2024. A generalized evolutionary metaheuristic (GEM) algorithm for engineering optimization. Cogent Engineering. 11 (1). https://doi.org/10.1080/23311916.2024.2364041Article
Parameter tuning of the Firefly Algorithm by standard Monte Carlo and Quasi-Monte Carlo methods
Joy, G., Huyck, C. and Yang, X. 2024. Parameter tuning of the Firefly Algorithm by standard Monte Carlo and Quasi-Monte Carlo methods. Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V., Dongarra, J. and Sloot, P. (ed.) 24th International Conference on Computational Science. Malaga, Spain 02 - 04 Jul 2024 Cham Springer. pp. 242–253 https://doi.org/10.1007/978-3-031-63775-9_17Conference paper
A proposal for extending the Common Model of Cognition to emotion [Presentation]
Rosenbloom, P., Laird, J., Lebiere, C., Stocco, A., Granger, R. and Huyck, C. 2024. A proposal for extending the Common Model of Cognition to emotion [Presentation]. 22nd International Conference on Cognitive Modeling. Tilburg University, the Netherlands 19 - 22 Jul 2024 Society for Mathematical Psychology.Conference item
VALD-MD: visual attribution via latent diffusion for medical diagnostics
Siddiqui, A., Tirunagari, S., Zia, T. and Windridge, D. 2024. VALD-MD: visual attribution via latent diffusion for medical diagnostics. https://doi.org/10.48550/arxiv.2401.01414Pre-print
An evolutionary approach to automated class-specific data augmentation for image classification
Marc, S., Belavkin, R., Windridge, D. and Gao, X. 2024. An evolutionary approach to automated class-specific data augmentation for image classification. Moosaei, H., Hladík, M. and Pardalos, P. (ed.) 6th International Conference on the Dynamics of Information Systems. Prague, Czech Republic 03 - 06 Dec 2023 Springer. pp. 170–185 https://doi.org/10.1007/978-3-031-50320-7_12Conference paper
Faithful Counterfactual Visual Explanations (FCVE)
Khan, B., Tariq, S., Zia, T., Ahsan, M. and Windridge, D. 2024. Faithful Counterfactual Visual Explanations (FCVE). Knowledge-Based Systems. 294. https://doi.org/10.1016/j.knosys.2024.111668Article
Enhancing individual UAV path planning with Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) algorithm
Fouad, A., Abboudi, A., Huyck, C., Gao, X., Bououden, S., Khezami, N. and Shall, H. 2024. Enhancing individual UAV path planning with Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) algorithm. IEEE Access. 12, pp. 28395-28416. https://doi.org/10.1109/ACCESS.2024.3367753Article
Associative memory with biologically-inspired cell assemblies
Ji, Y., Gamez, D. and Huyck, C. 2024. Associative memory with biologically-inspired cell assemblies. Samsonovich, A.V. and Liu, T. (ed.) 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, the 14th Annual Meeting of the BICA Society (BICA*AI 2023). Ningbo, China 13 - 15 Oct 2023 Springer. pp. 422-428 https://doi.org/10.1007/978-3-031-50381-8_43Conference paper
A spiking model of Cell Assemblies: Short term and associative memory
Huyck, C. 2023. A spiking model of Cell Assemblies: Short term and associative memory. Medical Research Archives. 11 (9), pp. 1-20. https://doi.org/10.18103/mra.v11i9.4406Article
A topological features based quantum kernel [Presentation]
Incudini, M., Martini, F., Di Pierro, A. and Windridge, D. 2023. A topological features based quantum kernel [Presentation]. 7th International Conference on Quantum Techniques in Machine Learning. CERN, Geneva 19 - 24 Nov 2023Conference item
MesoGraph: automatic profiling of mesothelioma subtypes from histological images
Eastwood, M., Sailem, H., Marc, S., Gao, X., Offman, J., Karteris, E., Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. MesoGraph: automatic profiling of mesothelioma subtypes from histological images. Cell Reports Medicine. 4 (10). https://doi.org/10.1016/j.xcrm.2023.101226Article
Interpretable chronic kidney disease risk prediction from clinical data using machine learning
Chennareddy, V., Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Interpretable chronic kidney disease risk prediction from clinical data using machine learning. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_63Conference paper
Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings
Morusupalli, R., Dandibhotla, T., Atluri, V., Windridge, D., Lingras, P. and Komati, V. (ed.) 2023. Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings. Springer.Conference Proceedings
Addressing challenges in healthcare big data analytics
Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Addressing challenges in healthcare big data analytics. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_70Conference paper
Review of parameter tuning methods for nature-inspired algorithms
Joy, G., Huyck, C. and Yang, X. 2023. Review of parameter tuning methods for nature-inspired algorithms. in: Yang, X. (ed.) Benchmarks and Hybrid Algorithms in Optimization and Applications Singapore Springer. pp. 33-47Book chapter
Visual attribution using Adversarial Latent Transformations
Zia, T., Wahab, A., Windridge, D., Tirunagari, S. and Bhatti, N. 2023. Visual attribution using Adversarial Latent Transformations. Computers in Biology and Medicine. 166. https://doi.org/10.1016/j.compbiomed.2023.107521Article
Intelligence and consciousness in natural and artificial systems
Gamez, D. 2023. Intelligence and consciousness in natural and artificial systems. in: Chella, A. (ed.) Computational Approaches to Conscious Artificial Intelligence World Scientific Publishing Co. Pte Ltd.Book chapter
Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data
Eastwood, M., Marc, S., Gao, X., Sailem, H., Offman, J., Karteris, E., Montero Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. Malignant Mesothelioma subtyping via sampling driven multiple instance prediction on tissue image and cell morphology data. Artificial Intelligence in Medicine. 143. https://doi.org/10.1016/j.artmed.2023.102628Article
Resource saving via ensemble techniques for quantum neural networks
Incudini, M., Grossi, M., Ceschini, A., Mandarino, A., Panella, M., Vallecorsa, S. and Windridge, D. 2023. Resource saving via ensemble techniques for quantum neural networks. https://doi.org/10.48550/arXiv.2303.11283Pre-print
Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time
Gao, X., Taylor, S., Pang, W., Hui, R., Lu, X., Oxford GI Investigators and Braden, B. 2023. Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time. Information Fusion. 92, pp. 64-79. https://doi.org/10.1016/j.inffus.2022.11.023Article
A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data
Li, J., Wu, Y., Fong, S., Tallon-Ballesteros, A., Yang, X., Mohammed, S. and Wu, F. 2022. A binary PSO-based ensemble under-sampling model for rebalancing imbalanced training data. Journal of Supercomputing. 78, p. 7428–7463. https://doi.org/10.1007/s11227-021-04177-6Article
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