Artificial Intelligence group
| Title | Artificial Intelligence group |
|---|
Latest research outputs
Sort by Date Title
A language-guided latent diffusion approach to visual attribution in medical imaging
Siddiqui, A. A., Tirunagari, S., Zia, T. and Windridge, D. 2024. A language-guided latent diffusion approach to visual attribution in medical imaging. Scientific Reports. https://doi.org/10.1038/s41598-024-81646-xArticle
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. 44th SGAI International Conference on Artificial Intelligence, AI 2024. Cambridge, UK 17 - 19 Dec 2024 Springer.Conference 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
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. 22nd International Conference on Cognitive Modeling. Tilburg University, the Netherlands 19 - 22 Jul 2024Conference item
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
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
A topological features based quantum kernel
Incudini, M., Martini, F., Di Pierro, A. and Windridge, D. 2023. A topological features based quantum kernel. 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
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
Examination of fake news from a viral perspective: an interplay of emotions, resonance, and sentiments
Nanath, K., Kaitheri, S., Malik, S. and Mustafa, S. 2022. Examination of fake news from a viral perspective: an interplay of emotions, resonance, and sentiments. Journal of Systems and Information Technology. 24 (2), pp. 131-155. https://doi.org/10.1108/jsit-11-2020-0257Article
Value of information in the binary case and confusion matrix
Belavkin, R., Pardalos, P. and Principe, J. 2022. Value of information in the binary case and confusion matrix. 41st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. Paris, France 18 - 22 Jul 2022 MDPI. pp. 1-9 https://doi.org/10.3390/psf2022005008Conference paper
Developing testing frameworks for AI cameras
Herdzik, A. and James-Reynolds, C. 2022. Developing testing frameworks for AI cameras. Bramer, M. and Stahl, F. (ed.) 42nd Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI). Cambridge, UK 13 - 15 Dec 2022 Cham Springer. https://doi.org/10.1007/978-3-031-21441-7_28Conference paper
Malignant Mesothelioma subtyping of tissue images via sampling driven multiple instance prediction
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. 2022. Malignant Mesothelioma subtyping of tissue images via sampling driven multiple instance prediction. Michalowski, M., Abidi, S. and Abidi, S. (ed.) 20th International Conference on Artificial Intelligence in Medicine. Halifax, Canada 14 - 17 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-09342-5_25Conference paper
Early detection of oesophageal cancer through colour contrast enhancement for data augmentation
Gao, X., Taylor, S., Pang, W., Lu, X. and Braden, B. 2022. Early detection of oesophageal cancer through colour contrast enhancement for data augmentation. SPIE Medical Imaging: Computer-Aided Diagnosis. San Diego, USA 21 - 24 Feb 2022 Society of Photo-Optical Instrumentation Engineers. https://doi.org/10.1117/12.2611409Conference paper
Cell Assembly-based Task Analysis (CAbTA)
Diaper, D. and Huyck, C. 2021. Cell Assembly-based Task Analysis (CAbTA). Arai, K. (ed.) Computing Conference 2021 (formerly called Science and Information (SAI) Conference). Virtual (from London, UK) 15 - 16 Jul 2021 Springer. https://doi.org/10.1007/978-3-030-80119-9_22Conference paper
Learning categories with spiking nets and spike timing dependent plasticity
Huyck, C. 2020. Learning categories with spiking nets and spike timing dependent plasticity. Bramer, M. and Ellis, R. (ed.) 40th SGAI 2020. Cambridge, UK 15 - 17 Dec 2020 Springer. pp. 139-144 https://doi.org/10.1007/978-3-030-63799-6_10Conference poster
Towards a brain controller interface for generating simple Berlin School style music with interactive genetic algorithms
James-Reynolds, C. and Currie, E. 2021. Towards a brain controller interface for generating simple Berlin School style music with interactive genetic algorithms. Bramer, M. and Ellis, R. (ed.) 41st SGAI International Conference on Artificial Intelligence (AI-2021). Cambridge, England [Online] 14 - 16 Dec 2021 Springer. pp. 377-382 https://doi.org/10.1007/978-3-030-91100-3_31Conference poster
A genetic deep learning model for electrophysiological soft robotics
Pandey, H. and Windridge, D. 2021. A genetic deep learning model for electrophysiological soft robotics. Balas, V., Jain, L., Balas, M. and Shahbazova, S. (ed.) 8th International Workshop on Soft Computing Applications. Arad, Romania 13 - 15 Sep 2018 Cham Springer. https://doi.org/10.1007/978-3-030-51992-6_12Conference paper
Theory of Information and its Value
Stratonovich, R. Belavkin, R., Pardalos, P. and Principe, J. (ed.) 2020. Theory of Information and its Value. Springer.Book
Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons
Huyck, C. and Vergani, A. 2020. Hot coffee: associative memory with bump attractor cell assemblies of spiking neurons. Journal of Computational Neuroscience. 48 (3), pp. 299-316. https://doi.org/10.1007/s10827-020-00758-1Article
Mindfulness mirror
Currie, E. and James-Reynolds, C. 2019. Mindfulness mirror. Bramer, M. and Petridis, M. (ed.) AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence. Cambridge, United Kingdom 17 - 19 Dec 2019 Springer Nature. pp. 456-461 https://doi.org/10.1007/978-3-030-34885-4_36Conference paper
Evolutionary art with an EEG fitness function
Nĕmečková, I., James-Reynolds, C. and Currie, E. 2011. Evolutionary art with an EEG fitness function. Bramer, M. and Petridis, M. (ed.) AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence. Cambridge, United Kingdom 17 - 19 Dec 2019 Springer Nature. pp. 241-252 https://doi.org/10.1007/978-3-030-34885-4_19Conference paper
A neural cognitive architecture
Huyck, C. 2020. A neural cognitive architecture. Cognitive Systems Research. 59, pp. 171-178. https://doi.org/10.1016/j.cogsys.2019.09.023Article
Four preconditions for solving MC4 machine consciousness
Gamez, D. 2019. Four preconditions for solving MC4 machine consciousness. Towards Conscious AI Systems Symposium co-located with the Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series (AAAI SSS-19). Stanford University, USA 25 - 27 Mar 2019 https://doi.org/urn:nbn:de:0074-2287-2Conference paper
The intelligence of sheep
Gamez, D. 2019. The intelligence of sheep. Animal Sentience. 25 (27).Article
Relation between the Kantorovich-Wasserstein metric and the Kullback-Leibler divergence
Belavkin, R. 2018. Relation between the Kantorovich-Wasserstein metric and the Kullback-Leibler divergence. IGAIA IV 2016: Information Geometry and Its Applications. Liblice, Czech Republic 12 - 17 Jun 2016 Springer International Publishing. https://doi.org/10.1007/978-3-319-97798-0_15Conference paper
0
total views0
total downloads0
views this month0
downloads this month