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 2021
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Number of items: 127.
Article
New relaxed stability and stabilization conditions for both discrete and differential linear repetitive processes - Marcin Boski, Robert Maniarski, Wojciech Paszke and Eric Rogers
Type: Article
| 2021
Constructing the singular Roesser state-space model description of 3D spatio-temporal dynamics from the polynomial system matrix - Mohamed S. Boudellioua, Bartłomiej Sulikowski, Krzysztof Gałkowski and Eric Rogers
Type: Article
| 2021
An algorithm for large-scale multitarget tracking and parameter estimation - Mark A. Campbell, Daniel E. Clark and Flávio D.E. Melo
Type: Article
| 2021
| Item not available on this server.
Design, modeling and control of an enhanced soft pneumatic network actuator - Guizhou Cao, Bing Chu, Benyan Huo and Yanhong Liu
Type: Article
| 2021
| Item not available on this server.
Learning to calibrate quantum control pulses by iterative deconvolution - Xi Cao, Bing Chu, Zhihui Peng, Yuxi Liu and Rebing Wu
Type: Article
| 2021
Shape registration with learned deformations for 3D shape reconstruction from sparse and incomplete point clouds - Xiang Chen, Nishant Ravikumar, Yan Xia, Rahman Attar and Alejandro F. Frangi
Type: Article
| 2021
The influence of gender and ethnicity on facemasks and respiratory protective equipment fit – a systematic review and meta-analysis - Jagrati Chopra, Nkemjika Abiakam, Hansung Kim, Cheryl Metcalf, Peter Worsley and Ying Cheong
Type: Article
| 2021
Constrained iterative learning control for linear time-varying systems with experimental validation on a high-speed rack feeder - Bing Chu, Eric Rogers, Andreas Rauh, Harald Aschemann and David H. Owens
Type: Article
| 2021
Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain - Blazej Cichy, Petr Augusta, Krzysztof Galkowski and Eric Rogers
Type: Article
| 2021
Multi-sensor network information for linear-gaussian multi-target tracking systems - Daniel E. Clark
Type: Article
| 2021
| Item not available on this server.
Balanced Neural Architecture Search and Its Application in Specific Emitter Identification - Mingyang Du, Xikai He, Xiaohao Cai and Daping Bi
Type: Article
| 2021
Information bottleneck theory based exploration of cascade learning - Xin Du, Katayoun Farrahi and Mahesan Niranjan
Type: Article
| 2021
P107 Can a computer sense the symptoms of osteoarthritis from a radiograph? Initial findings from pilot AI approach to osteoarthritis assessment - Nicholas Rubek Fuggle, Diogo Pereira, Elaine Dennison, Cyrus Cooper and Sasan Mahmoodi
Type: Article
| 2021
| Item availability restricted.
Dynamic output-only iterative learning control design - Lukasz Hladowski, Krzysztof Galkowski and Eric Rogers
Type: Article
| 2021
Broiler FCR optimization using norm optimal terminal iterative learning control - Simon V. Johansen, Martin R. Jensen, Bing Chu, Jan D Bendtsen, Jesper Mogensen and Eric Rogers
Type: Article
| 2021
The AI for Scientific Discovery Network+ - Samantha Kanza, Colin Leonard Bird, Mahesan Niranjan, William Mcneill and Jeremy G. Frey
Type: Article
| 2021
Immersive audio-visual scene reproduction using semantic scene reconstruction from 360 cameras - Hansung Kim, Luca Remaggi, A. Dourado, Teofilo de Campos, Philip J. B. Jackson and Adrian Hilton
Type: Article
| 2021
Terminal sliding mode-based tracking control with error transformation for underwater vehicles - Xing Liu, Mingjun Zhang, Eric Rogers, Yujia Wang and Feng Yao
Type: Article
| 2021
| Item availability restricted.
Iterative learning control for a class of multivariable distributed systems with experimental validation - Slawomir Mandra, Krzysztof Galkowski, Andreas Rauh, Harald Aschemann and Eric Rogers
Type: Article
| 2021
Type: Article
| 2021
Stability and similarity in financial networks—how do they change in times of turbulence? - Tristan Millington and Mahesan Niranjan
Type: Article
| 2021
A formulation of the adversarial risk for multiobject filtering - Alexey Narykov, Emmanuel Delande and Daniel E. Clark
Type: Article
| 2021
| Item not available on this server.
Rational orthonormal bases, state transformations, and dissipativity - Yoshito Ohta and Paolo Rapisarda
Type: Article
| 2021
Type: Article
| 2021
Type: Article
| 2021
Modelling digital and manual contact tracing for COVID-19.: Are low uptakes and missed contacts deal-breakers? - Andrei Rusu, Rémi Emonet and Katayoun Farrahi
Type: Article
| 2021
Similarity-aware CNN for efficient video recognition at the Edge - Mohammadamin Sabetsarvestani, Jonathon Hare, Bashir Al-Hashimi and Geoff Merrett
Type: Article
| 2021
Terrain-aided navigation for long-range AUVs in dynamic under-mapped environments - Georgios Salavasidis, Davide Fenucci, Thomas Prampart, Micheal Smart, Miles Pebody, Alexander B. Phillips, Andrea Munafo, Catherine A. Harris, Robert Templeton, Daniel T. Roper, Povl E. Abrahamsen and Eric Rogers
Type: Article
| 2021
Terrain-Aided Navigation With Coarse Maps—Toward an Arctic Crossing With an AUV - Georgios Salavasidis, Andrea Munafò, Catherine A. Harris, Stephen D. McPhail, Davide Fenucci, Miles Pebody, Eric Rogers and Alexander Phillips
Type: Article
| 2021
On the switching control of the DC–DC zeta converter operating in continuous conduction mode - Hafez Sarkawi, Yoshito Ohta and Paolo Rapisarda
Type: Article
| 2021
Convex multi-view clustering via robust low rank approximation with application to multi-omic data - Omar Essam Shetta, Mahesan Niranjan and Srinandan Dasmahapatra
Type: Article
| 2021
Type: Article
| 2021
| Item availability restricted.
Type: Article
| 2021
| Item availability restricted.
Spatio-temporal manifold learning for human motions via long-horizon modeling - He Wang, Edmond SL Ho, Hubert PH Shum and Zhanxing Zhu
Type: Article
| 2021
| Item not available on this server.
Sampling sparse representations with randomized measurement langevin dynamics - Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan and Dejing Dou
Type: Article
| 2021
| Item not available on this server.
Recovering from missing data in population imaging – Cardiac MR image imputation via conditional generative adversarial nets - Yan Xia, Le Zhang, Nishant Ravikumar, Rahman Attar, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen and Alejandro F. Frangi
Type: Article
| 2021
| Item not available on this server.
Type: Article
| 2021
| Item not available on this server.
Leveraging metadata in representation learning with georeferenced seafloor imagery - Takaki Yamada, Miguel Massot Campos, Adam Prugel-Bennett, Stephan Williams, Oscar Pizarro and Blair Thornton
Type: Article
| 2021
Learning Features from georeferenced seafloor imagery with location guided autoencoders - Takaki Yamada, Adam Prugel-Bennett and Blair Thornton
Type: Article
| 2021
Multi-periodic repetitive control for functional electrical stimulation based wrist tremor suppression - Zan Zhang, Bing Chu, Yanhong Liu, Haichuan Ren, Zhe Li and David H. Owens
Type: Article
| 2021
Book Section
Spherical motion dynamics: learning dynamics of normalized neural network using SGD and weight decay - Jian Sun, Ruosi Wan, Xiangyu Zhang and Zhanxing Zhu
Type: Book Section
| 2021
| Neural Information Processing Systems Foundation
| Item not available on this server.
Positive-negative momentum: manipulating stochastic gradient noise to improve generalization - Zeke Xie, Li Yuan, Zhanxing Zhu and Masashi Sugiyama
Type: Book Section
| 2021
| PMLR
| Item not available on this server.
Conference or Workshop Item
AI3SD Video: Deep Learning enhanced prediction of protein structure and dynamics - Martina Audagnotto
Type: Conference or Workshop Item
| 2021
Automatic diagnosis of COPD in lung CT images based on multi-view DCNN - Yin Bao, Yasseen Hamad Al Makady and Sasan Mahmoodi
Type: Conference or Workshop Item
| 2021
| SciTePress
AI3SD Video: Ontologies, Natural Language, Annotation and Chemistry - Colin Batchelor
Type: Conference or Workshop Item
| 2021
GhostShiftAddNet: More Features from Energy-Efficient Operations - Jia Bi, Jonathon Hare and Geoff Merrett
Type: Conference or Workshop Item
| 2021
| Item availability restricted.
AI3SD Video: Preserving Structural Motifs in Machine-Learning Approaches to Modeling Water Clusters - Jenna A. Bilbrey
Type: Conference or Workshop Item
| 2021
Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images - Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer Syeda-Mahmood and Alejandro F. Frangi
Type: Conference or Workshop Item
| 2021
| Springer Cham
| Item not available on this server.
AI3SD Video: Open Access Data: A Cornerstone for Artificial Intelligence Approaches to Protein Structure Prediction - Stephen Burley
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
Distributed iterative learning control for networked dynamical systems with guaranteed individual energy cost - Bin Chen and Bing Chu
Type: Conference or Workshop Item
| 2021
| Item not available on this server.
Neural approximate sufficient statistics for implicit models - Yanzhi Chen, Dinghuai Zhang, Michael Gutmann, Aaron Courville and Zhanxing Zhu
Type: Conference or Workshop Item
| 2021
| International Conference on Learning Representations
| Item not available on this server.
AI3SD Video: Designing molecular models by machine learning and experimental data - Cecilia Clementi
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
AI3SD Video: Machine Learning for biological sequence design - Lucy Colwell
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
AI3SD Video: What a medicinal chemist needs to know about explainable artificial intelligence - Alexander G. Dossetter
Type: Conference or Workshop Item
| 2021
AI3SD Video: Machine learning and AI for drug design - Ola Engkvist
Type: Conference or Workshop Item
| 2021
AI3SD Video: Combining robotics and machine learning for accelerated drug discovery - Thomas Fleming
Type: Conference or Workshop Item
| 2021
AI3SD Video: Using icospherical input data in machine learning on the protein-binding problem - Ella Gale
Type: Conference or Workshop Item
| 2021
AI3SD Video: Explainable machine learning for trustworthy AI - Fosca Giannotti
Type: Conference or Workshop Item
| 2021
AI3SD Video: Outlier detection in Scientific Discovery - Joanna Grundy
Type: Conference or Workshop Item
| 2021
Attitude reconstruction of an unknown co-orbiting satellite target using machine learning technologies - Benjamin, Felix Guthrie, Minkwan Kim, Hodei Urrutxua and Jonathon Hare
Type: Conference or Workshop Item
| 2021
| Item availability restricted.
Image-based attitude determination of co-orbiting satellites enhanced with deep learning technologies - Benjamin, Felix Guthrie, Minkwan Kim, Hodei Urrutxua and Jonathon Hare
Type: Conference or Workshop Item
| 2021
| American Astronautical Society
| Item availability restricted.
AI3SD Video: Automated chemical ontology expansion - Janna Hastings
Type: Conference or Workshop Item
| 2021
AI3SD Video: Machines Learning Chemistry - Jonathan D. Hirst
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
AI3SD Video: Accelerating design of organic materials with machine learning and AI - Olexandr Isayev
Type: Conference or Workshop Item
| 2021
AI3SD Video: Chemical space exploration - Jan Jansen
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
AI3SD Series: Winter Seminar Series 2020/21 - Samantha Kanza
Type: Conference or Workshop Item
| 2021
| Item not available on this server.
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
AI3SD Video: Audacity of huge: machine learning for the discovery of transition metal catalysts and materials - Heather Kulik
Type: Conference or Workshop Item
| 2021
AI3SD Video: Learning to control quantum systems robustly - Frank C. Langbein
Type: Conference or Workshop Item
| 2021
Spatial-temporal fusion graph neural networks for traffic flow forecasting - Mengzhang Li and Zhanxing Zhu
Type: Conference or Workshop Item
| 2021
| AAAI Press
| Item not available on this server.
Dynamic-OFA: Runtime DNN architecture switching for performance scaling on heterogeneous embedded platforms - Wei Lou, Lei Xun, Mohammadamin Sabetsarvestani, Jia Bi, Jonathon Hare and Geoff Merrett
Type: Conference or Workshop Item
| 2021
AI3SD Video: General Effects of AI on Drug Discovery - Derek Lowe
Type: Conference or Workshop Item
| 2021
AI3SD Video: Deep Learning Enhanced Quantum Chemistry: Pushing the limits of Materials Discovery - Reinhard J. Maurer
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
| Item availability restricted.
Shared visual representations of drawing for communication: how do different biases affect human interpretability and intent? - Andreea, Daniela Mihai and Jonathon Hare
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
| Neural Information Processing Systems Foundation
| Item availability restricted.
AI3SD Video: Statistics are a girl’s best friend: Expanding the mechanistic study toolbox with data science - Anat Milo
Type: Conference or Workshop Item
| 2021
AI3SD Video: Multiscale simulation of biomolecular mechanisms and dynamics: from enzyme evolution to receptor activation - Adrian J. Mulholland
Type: Conference or Workshop Item
| 2021
AI3SD Video: DeepDock: a deep learning approach to predict ligand binding conformations - Oscar Méndez-Lucio
Type: Conference or Workshop Item
| 2021
Type: Conference or Workshop Item
| 2021
AI3SD Video: Machine Learning with Causality: Solubility Prediction in Organic Solvents and Water - Bao Nguyen
Type: Conference or Workshop Item
| 2021
AI3SD Video: The “almost druggable” genome - Tudor Oprea
Type: Conference or Workshop Item
| 2021
Iterative learning control of stochastic linear systems with reference trajectory switching - Pavel Pakshin, Julia Emelianova, Eric Rogers and Krzysztof Galkowski
Type: Conference or Workshop Item
| 2021
| Item not available on this server.
Dynamic transformer for efficient machine translation on embedded devices - Hishan Parry, Lei Xun, Mohammadamin Sabetsarvestani, Jia Bi, Jonathon Hare and Geoff Merrett
Type: Conference or Workshop Item
| 2021
Can a computer sense the symptoms of osteoarthritis from a radiograph? Initial findings from a pilot, AI approach to osteoarthritis assessment - Diogo Pereira, Nick Fuggle, Sasan Mahmoodi and Cyrus Cooper
Type: Conference or Workshop Item
| 2021
| British Society for Rheumatology
AI3SD Video: How good are protein structure prediction methods at predicting folding pathways? - Carlos Outeiral Rubiera
Type: Conference or Workshop Item
| 2021
AI3SD Video: Artificial intelligence for safer urban space - Zoheir Sabeur
Type: Conference or Workshop Item
| 2021
AI3SD Video: Finding small molecules in big data - Emma Schymanski
Type: Conference or Workshop Item
| 2021
AI3SD Video: Finding new in silico-based therapeutic strategies for IAHSP - Matteo Rossi Sebastiano
Type: Conference or Workshop Item
| 2021
Temporally consistent 3D human pose estimation using dual 360° cameras - M. Shere, Hansung Kim and Adrian Hilton
Type: Conference or Workshop Item
| 2021
| Item not available on this server.
AI3SD Video: H2020 Project Onto Trans - Alexandra Simperler
Type: Conference or Workshop Item
| 2021
AI3SD Video: So you predicted a protein structure – What now? - Thomas Steinbrecher
Type: Conference or Workshop Item
| 2021
Two novel Performance improvements for evolving CNN topologies - Yaron Leander Strauch and Jo Grundy
Type: Conference or Workshop Item
| 2021
| Item not available on this server.
Hypoxic-ischaemic encephalopathy prognosis using susceptibility weighted image analysis based on histogram orientation gradient - Zhen Tang, Sasan Mahmoodi, Angela Darekar and Brigitte Vollmer
Type: Conference or Workshop Item
| 2021
| Item not available on this server.
AI3SD Video: The Variational Quantum Eigensolver - progress and near term applications for quantum chemistry - Jules Tilly
Type: Conference or Workshop Item
| 2021
AI3SD Video: A vision of medicinal chemistry for the future - Lewis Vidler
Type: Conference or Workshop Item
| 2021
AI3SD Video: Machine learning applications for macro-molecular X-ray crystallography at Diamond - Melanie Vollmar
Type: Conference or Workshop Item
| 2021
Towards observation condition agnostic fauna detection and segmentation in seafloor imagery for biomass estimation - Jennifer Walker, Adam Prugel-Bennett and Blair Thornton
Type: Conference or Workshop Item
| 2021
| IEEE
| Item availability restricted.
AI3SD Video: Machine learning for electronically excited states of molecules - Julia Westermayr
Type: Conference or Workshop Item
| 2021
AI3SD Video: Towards biological plausibility using linked open data - Egon L. Willighagen
Type: Conference or Workshop Item
| 2021
Depth estimation from a single omnidirectional image using domain adaptation - Yihong Wu, Yuwen Heng, Mahesan Niranjan and Hansung Kim
Type: Conference or Workshop Item
| 2021
| Item availability restricted.
Runtime DNN performance scaling through resource management on heterogeneous embedded platforms - Lei Xun, Bashir Al-Hashimi, Jonathon Hare and Geoff Merrett
Type: Conference or Workshop Item
| 2021
AI3SD Video: Hyperparameter optimisation for graph neural networks - Yingfang (James) Yuan
Type: Conference or Workshop Item
| 2021
AI3SD Video: Data-driven molecular design in computational toxicology - Barbara Zdrazil
Type: Conference or Workshop Item
| 2021
AI3SD Video: How can explainable AI help scientific exploration? - Carlos Zednik
Type: Conference or Workshop Item
| 2021
AI3SD Video: Lessons learned from generative models of biological sequences - Aleksej Zeleniak
Type: Conference or Workshop Item
| 2021
AI3SD Video: Quantum machine learning - Anatole von Lilenfeld
Type: Conference or Workshop Item
| 2021
Monograph
AI3SD Project: Active learning for cost-efficient reaction prediction using kinetic data - Paul Dingwall
Type: Monograph
| 2021
| University of Southampton
Type: Monograph
| 2021
| University of Southampton
Type: Monograph
| 2021
| University of Southampton
Type: Monograph
| 2021
| University of Southampton
Type: Monograph
| 2021
| University of Southampton
Type: Monograph
| 2021
| University of Southampton
Type: Monograph
| 2021
| University of Southampton
Dataset
Type: Dataset
| 2021
| University of Southampton
Type: Dataset
| 2021
| University of Southampton
Type: Dataset
| 2021
| University of Southampton
Type: Dataset
| 2021
| University of Southampton
Art Design Item
Type: Art Design Item
| 2021
Meeting abstract
Model-free optimization scheme for efficiency improvement of wind farm using decentralized reinforcement learning - Zhiwei Xu, H. Geng, B. Chu, M. Qian and N. Tan
Type: Meeting abstract
| 2021
| Item not available on this server.