David Windridge

Orcid: 0000-0001-5507-8516

Affiliations:
  • Middlesex University London, UK
  • University of Surrey, UK


According to our database1, David Windridge authored at least 104 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics.
CoRR, 2024

2023
Resource saving via ensemble techniques for quantum neural networks.
Quantum Mach. Intell., December, 2023

Visual attribution using Adversarial Latent Transformations.
Comput. Biol. Medicine, November, 2023

A user-guided personalization methodology to facilitate new smart home occupancy.
Univers. Access Inf. Soc., August, 2023

Reducing the dependency of having prior domain knowledge for effective online information retrieval.
Expert Syst. J. Knowl. Eng., May, 2023

Discriminator-based adversarial networks for knowledge graph completion.
Neural Comput. Appl., April, 2023

Deep Combination of Radar With Optical Data for Gesture Recognition: Role of Attention in Fusion Architectures.
IEEE Trans. Instrum. Meas., 2023

Special Issue on Quantum Inspired Neural Networks for Engineering Optimization.
Neural Process. Lett., 2023

Addressing Challenges in Healthcare Big Data Analytics.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data Using Machine Learning.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2023

An Evolutionary Approach to Automated Class-Specific Data Augmentation for Image Classification.
Proceedings of the Dynamics of Information Systems - 6th International Conference, 2023

2022
VANT-GAN: Adversarial Learning for Discrepancy-Based Visual Attribution in Medical Imaging.
Pattern Recognit. Lett., 2022

The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning.
CoRR, 2022

2021
A generative adversarial network for single and multi-hop distributional knowledge base completion.
Neurocomputing, 2021

Multi-view Convolutional Recurrent Neural Networks for Lung Cancer Nodule Identification.
Neurocomputing, 2021

Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach.
CoRR, 2021

Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation.
Comput. Networks, 2021

On the utility of dreaming: A general model for how learning in artificial agents can benefit from data hallucination.
Adapt. Behav., 2021

2020
Fully-Automated Identification of Imaging Biomarkers for Post-Operative Cerebellar Mutism Syndrome Using Longitudinal Paediatric MRI.
Neuroinformatics, 2020

Editorial to special issue on hybrid artificial intelligence and machine learning technologies in intelligent systems.
Neural Comput. Appl., 2020

A Low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems.
J. Inf. Secur. Appl., 2020

Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition.
CoRR, 2020

Exposing Students to New Terminologies While Collecting Browsing Search Data (Best Technical Paper).
Proceedings of the Artificial Intelligence XXXVII, 2020

2019
A family of globally optimal branch-and-bound algorithms for 2D-3D correspondence-free registration.
Pattern Recognit., 2019

Automatic Delineation of Kidney Region in DCE-MRI.
CoRR, 2019

Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images.
CoRR, 2019

A Survey of User-Centred Approaches for Smart Home Transfer Learning and New User Home Automation Adaptation.
Appl. Artif. Intell., 2019

Improving the Adaptation Process for a New Smart Home User.
Proceedings of the Artificial Intelligence XXXVI, 2019

Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

An Approach to Human Machine Teaming in Legal Investigations Using Anchored Narrative Visualisation and Machine Learning.
Proceedings of the First Workshop on AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2019) the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), 2019

2018
An improved block matching algorithm for motion estimation in video sequences and application in robotics.
Comput. Electr. Eng., 2018

Representational fluidity in embodied (artificial) cognition.
Biosyst., 2018

A Genetic Deep Learning Model for Electrophysiological Soft Robotics.
Proceedings of the Soft Computing Applications, 2018

2017
Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition.
Mach. Vis. Appl., 2017

Emergent Intentionality in Perception-Action Subsumption Hierarchies.
Frontiers Robotics AI, 2017

A generalised framework for saliency-based point feature detection.
Comput. Vis. Image Underst., 2017

Hamming Distance Kernelisation via Topological Quantum Computation.
Proceedings of the Theory and Practice of Natural Computing - 6th International Conference, 2017

Exploiting dream-like simulation mechanisms to develop safer agents for automated driving: The "Dreams4Cars" EU research and innovation action.
Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016
Kernel combination via debiased object correspondence analysis.
Inf. Fusion, 2016

Can DMD obtain a Scene Background in Color?
CoRR, 2016

Classification of fibroglandular tissue distribution in the breast based on radiotherapy planning CT.
BMC Medical Imaging, 2016

Quantum Bootstrap Aggregation.
Proceedings of the Quantum Interaction - 10th International Conference, 2016

Criminal pattern identification based on modified K-means clustering.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems.
IEEE Trans. Intell. Transp. Syst., 2015

Detection of Face Spoofing Using Visual Dynamics.
IEEE Trans. Inf. Forensics Secur., 2015

A generalisable framework for saliency-based line segment detection.
Pattern Recognit., 2015

A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage.
IEEE Multim., 2015

On the Intrinsic Limits to Representationally-Adaptive Machine-Learning.
CoRR, 2015

Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses.
CoRR, 2015

Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics.
Proceedings of the 2015 IEEE International Workshop on Information Forensics and Security, 2015

Longitudinal MRI assessment: the identification of relevant features in the development of Posterior Fossa Syndrome in children.
Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Globally Optimal 2D-3D Registration from Points or Lines without Correspondences.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
A Kernel-Based Framework for Medical Big-Data Analytics.
Proceedings of the Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014

Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation.
IEEE Trans. Cybern., 2014

Domain Anomaly Detection in Machine Perception: A System Architecture and Taxonomy.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Automatic annotation of tennis games: An integration of audio, vision, and learning.
Image Vis. Comput., 2014

A Saliency-based Framework for 2D-3D Registration.
Proceedings of the VISAPP 2014, 2014

Supervised Selective Kernel Fusion for Membrane Protein Prediction.
Proceedings of the Pattern Recognition in Bioinformatics, 2014

Non-enumerative Cross Validation for the Determination of Structural Parameters in Feature-Selective SVMs.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Patient level analytics using self-organising maps: A case study on Type-1 Diabetes self-care survey responses.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Challenges in designing an online healthcare platform for personalised patient analytics.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014

2013
Characterizing Driver Intention via Hierarchical Perception-Action Modeling.
IEEE Trans. Hum. Mach. Syst., 2013

A Framework for Hierarchical Perception-Action Learning Utilizing Fuzzy Reasoning.
IEEE Trans. Cybern., 2013

2012
Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation.
Proceedings of the Detection and Identification of Rare Audiovisual Cues, 2012

Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction.
Proceedings of the Pattern Recognition in Bioinformatics, 2012

Automatic annotation of court games with structured output learning.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Meeting in the Middle: A top-down and bottom-up approach to detect pedestrians.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Convex support and Relevance Vector Machines for selective multimodal pattern recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Experience-based modulation of eye-movement behaviour in dynamic and uncertain visual environments.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
An evaluation of bags-of-words and spatio-temporal shapes for action recognition.
Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Evaluation of face recognition system in heterogeneous environments (visible vs NIR).
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Improved detection of ball hit events in a tennis game using multimodal information.
Proceedings of the Auditory-Visual Speech Processing, 2011

2010
Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution.
IEEE Trans. Inf. Forensics Secur., 2010

Tomographic Considerations in Ensemble Bias/Variance Decomposition.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

Lattice-Based Anomaly Rectification for Sport Video Annotation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Ball event recognition using hmm for automatic tennis annotation.
Proceedings of the International Conference on Image Processing, 2010

2009
A linear-complexity reparameterisation strategy for the hierarchical bootstrapping of capabilities within perception-action architectures.
Image Vis. Comput., 2009

Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

2008
Epistemic Constraints on Autonomous Symbolic Representation in Natural and Artificial Agents.
Proceedings of the Applications of Computational Intelligence in Biology: Current Trends and Open Problems, 2008

An Entropy-Based Approach to the Hierarchical Acquisition of Perception-Action Capabilities.
Proceedings of the Cognitive Vision, 4th International Workshop, 2008

Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Subsurface scattering deconvolution for improved NIR-visible facial image correlation.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007
The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006
Cognitive learning with automatic goal acquisition.
Proceedings of the STAIRS 2006, 2006

Visual Bootstrapping for Unsupervised Symbol Grounding.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2006

2005
Hidden Markov chain estimation and parameterisation via ICA-based feature-selection.
Pattern Anal. Appl., 2005

Performance measures of the tomographic classifier fusion methodology.
Int. J. Pattern Recognit. Artif. Intell., 2005

A Memory Architecture and Contextual Reasoning Framework for Cognitive Vision.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Unsupervised Symbol Grounding and Cognitive Bootstrapping in Cognitive Vision.
Proceedings of the Image Analysis and Processing, 2005

2004
A General Strategy for Hidden Markov Chain Parameterisation in Composite Feature-Spaces.
Proceedings of the Structural, 2004

The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

A Linguistic Feature Vector for the Visual Interpretation of Sign Language.
Proceedings of the Computer Vision, 2004

2003
A Morphologically Optimal Strategy for Classifier Combination: Multiple Expert Fusion as a Tomographic Process.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

2002
Morphologically Unbiased Classifier Combination through Graphical PDF Correlation.
Proceedings of the Structural, 2002

On the General Application of the Tomographic Classifier Fusion Methodology.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

2001
Classifier Combination as a Tomographic Process.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000
Combined Classifier Optimisation via Feature Selection.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000


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