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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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Group by: No Grouping | Authors/Creators | Item Type
Number of items: 38.

Type: Conference or Workshop Item | 2025 | SciTePress

Type: Thesis | 2025 | University of Southampton

Concept-based explainable artificial intelligence: metrics and benchmarks - Halil Ibrahim Aysel, Xiaohao Cai and Adam Prugel-Bennett
Type: UNSPECIFIED | 2025 | arXiv

Explainable artificial intelligence: advancements and limitations - Halil ibrahim Aysel, Xiaohao Cai and Adam Prugel-Bennett
Type: Article | 2025

Type: Article | 2025

DyCAST: learning dynamic causal structure from time series - Yue Cheng, Bochen Lyu, Weiwei Xing and Zhanxing Zhu
Type: Conference or Workshop Item | 2025

Type: Book | 2025 | Springer Cham | Item not available on this server.

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

Type: Article | 2025 | Item not available on this server.

Type: Dataset | 2025 | University of Southampton

Type: UNSPECIFIED | 2025 | arXiv

Type: UNSPECIFIED | 2025 | arXiv

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

Type: UNSPECIFIED | 2025 | arXiv

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

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

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

A solvable attention for neural scaling laws - Bochen Lyu, Di Wang and Zhanxing Zhu
Type: Conference or Workshop Item | 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

Type: Article | 2025

ME: modelling ethical values for value alignment - Eryn Rigley, Adriane Chapman, Christine Evers and Will McNeill
Type: Conference or Workshop Item | 2025 | AAAI Press

Type: Dataset | 2025 | University of Southampton

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

Sparse syperparametric Itakura-Saito NMF via Bi-level optimization - Laura Selicato, Flavia Esposito, Andersen Ang, Nicoletta Del Buono and Rafal Zdunek
Type: UNSPECIFIED | 2025 | arXiv

Less but better: parameter-efficient fine-tuning of large language models for personality detection - Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak and Shoaib Jameel
Type: UNSPECIFIED | 2025 | arXiv

LL4G: self-supervised dynamic optimization for graph-based personality detection - Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Yuhan Wang, Imran Razzak and Shoaib Jameel
Type: UNSPECIFIED | 2025 | arXiv

Functional alignment can mislead: examining model stitching - Damian Howard Laurence Smith, Harvey George Mannering and Antonia Marcu
Type: Conference or Workshop Item | 2025

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

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

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

Improving recall in sparse associative memories that use neurogenesis - Katy Warr, Jonathon Hare and David Barrie Thomas
Type: Article | 2025

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.

Type: Dataset | 2025 | University of Southampton

CornerPoint3D: look at the nearest corner instead of the center - Ruixiao Zhang, Runwei Guan, Xiangyu Chen, Adam Prugel-Bennett and Xiaohao Cai
Type: UNSPECIFIED | 2025 | arXiv

This list was generated on Tue Oct 14 01:45:40 2025 BST.
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