Items where Division is "Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Vision, Learning and Control
School of Electronics and Computer Science > Vision, Learning and Control" and Year is 2025
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Number of items: 34.
Article
Explainable artificial intelligence: advancements and limitations - Halil ibrahim Aysel, Xiaohao Cai and Adam Prugel-Bennett
Type: Article
| 2025
Convolutional- and deep learning-based techniques for time series ordinal classification - Anthony Bagnall
Type: Article
| 2025
Distributed norm optimal iterative learning control for high performance consensus tracking - Bin Chen and Bing Chu
Type: Article
| 2025
Multimodal large language models in human-centered health: practical insights - Ting Dang, Hong Jia and Gabriela Marcu
Type: Article
| 2025
| Item not available on this server.
A computer vision method for finding mislabelled specimens within natural history collections - Jack Daniel Hollister, Geoff Martin, Xiaohao Cai, Tammy Horton, Owain Powell, Mark Sterling, Glory Turnbull, Ben Price and Phillip Fenberg
Type: Article
| 2025
Inhomogeneous graph trend filtering via A ℓ2,0-norm cardinality penalty - Xiaoqing Huang, Andersen Ang, Kun Huang, Jie Zhang and Yijie Wang
Type: Article
| 2025
Deep learning for bond yield forecasting: the LSTM-LagLasso - Manuel Nunes, Enrico Gerding, Frank McGroarty, Mahesan Niranjan and Georgios Sermpinis
Type: Article
| 2025
Bag-of-words is competitive with sum-of-embeddings language-inspired representations on protein inference - Frixos Papadopoulos, Tilman Sanchez-Elsner, Mahesan Niranjan and Ashley Heinson
Type: Article
| 2025
Shipwreck detection in bathymetry data using semi-automated methods: combining machine learning and topographic inference approaches - Cal Tariq Pols, Fraser Sturt, Crystal El Safadi and Antonia Marcu
Type: Article
| 2025
Type: Article
| 2025
Modifying the severity and appearance of psoriasis using deep learning to simulate anticipated improvements during treatment - Joe Scott, James A. Grant-Jacob, Matthew Praeger, George Coltart, Jonathan Sutton, Michalis N. Zervas, Mahesan Niranjan, Robert W. Eason, Eugene Healy and Ben Mills
Type: Article
| 2025
Identification of genetic biomarkers of blood cholesterol levels using whole gene pathogenicity modelling - Sharon Sunny, Guo Cheng, Joshua Haria, Iman Nazari, Jagmohan Chauhan and Sarah Ennis
Type: Article
| 2025
Improving recall in sparse associative memories that use neurogenesis - Katy Warr, Jonathon Hare and David Barrie Thomas
Type: Article
| 2025
Book
Type: Book
| 2025
| Springer Cham
| Item not available on this server.
Conference or Workshop Item
Facial profile biometrics: domain adaptation and deep learning approaches - Malak Alamri and Sasan Mahmoodi
Type: Conference or Workshop Item
| 2025
| SciTePress
DyCAST: learning dynamic causal structure from time series - Yue Cheng, Bochen Lyu, Weiwei Xing and Zhanxing Zhu
Type: Conference or Workshop Item
| 2025
Beyond the rainbow: high performance deep reinforcement learning on a desktop PC - Tyler Clark, Mark Towers, Christine Evers and Jonathon Hare
Type: Conference or Workshop Item
| 2025
HRI-SENSE: a multimodal dataset on social and emotional responses to robot behaviour - Balint Gucsi, Tan Viet Tuyen Nguyen, Bing Chu, Danesh Tarapore and Long Tran-Thanh
Type: Conference or Workshop Item
| 2025
RoboButler: frustration-aware assistive user localisation for social robots in office environments - Balint Gucsi, Tan Viet Tuyen Nguyen, Bing Chu, Danesh Tarapore and Long Tran-Thanh
Type: Conference or Workshop Item
| 2025
User-aware collaborative learning in human-robot interactions - Balint Gucsi, Tan Viet Tuyen Nguyen, Bing Chu, Danesh Tarapore and Long Tran-Thanh
Type: Conference or Workshop Item
| 2025
FedTMOS: efficient one-shot federated learning with Tsetlin machine - Shannon Shi Qi How, Jagmohan Chauhan, Geoff Merrett and Jonathon Hare
Type: Conference or Workshop Item
| 2025
FedTMOS: efficient One-Shot Federated Learning with Tsetlin Machine - Shannon How Shi Qi, Jagmohan Chauhan, Geoff V. Merrett and Jonathon Hare
Type: Conference or Workshop Item
| 2025
Type: Conference or Workshop Item
| 2025
Predicting binaural colouration using VGGish embeddings - Thomas McKenzie, Alec Wright, Daniel Turner and Pedro Llado
Type: Conference or Workshop Item
| 2025
| Audio Engineering Society
ME: modelling ethical values for value alignment - Eryn Rigley, Adriane Chapman, Christine Evers and Will McNeill
Type: Conference or Workshop Item
| 2025
| AAAI Press
Functional alignment can mislead: examining model stitching - Damian Howard Laurence Smith, Harvey George Mannering and Antonia Marcu
Type: Conference or Workshop Item
| 2025
OpenSDI: spotting diffusion-generated images in the open world - Yabin Wang, Zhiwu Huang and Xiaopeng Hong
Type: Conference or Workshop Item
| 2025
| IEEE
Dedicated class subnetworks for SNN class incremental learning - Katy Warr, Jonathon Hare and David Thomas
Type: Conference or Workshop Item
| 2025
| IEEE
Data-driven model predictive control for continuous-time systems - Aleksander Wolski, Bing Chu and Paolo Rapisarda
Type: Conference or Workshop Item
| 2025
| IEEE
| Item not available on this server.
Monograph
A response to copyright and artificial intelligence consultation - Isobel Stark, Nancy Beckett-Jones, Sian Furmage, Jonathon Hare, Isabella Roberts and Hedvig Schmidt
Type: Monograph
| 2025
| University of Southampton
Thesis
Human action recognition based on convolutional neural networks and vision transformers - Khaled Alomar and Xiaohao Cai
Type: Thesis
| 2025
| University of Southampton
Dataset
Type: Dataset
| 2025
| University of Southampton
Type: Dataset
| 2025
| University of Southampton
Type: Dataset
| 2025
| University of Southampton