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David Windridge
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- affiliation: Middlesex University London, UK
- affiliation: University of Surrey, UK
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2020 – today
- 2024
- [j39]Bismillah Khan, Syed Ali Tariq
, Tehseen Zia
Faithful Counterfactual Visual Explanations (FCVE). Knowl. Based Syst. 294: 111668 (2024) - [i10]Ammar A. Siddiqui, Santosh Tirunagari, Tehseen Zia, David Windridge
VALD-MD: Visual Attribution via Latent Diffusion for Medical Diagnostics. CoRR abs/2401.01414 (2024) - 2023
- [j38]Tehseen Zia
Visual attribution using Adversarial Latent Transformations. Comput. Biol. Medicine 166: 107521 (2023) - [j37]Omar Zammit
Reducing the dependency of having prior domain knowledge for effective online information retrieval. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j36]Abdallah Tubaishat, Tehseen Zia
Discriminator-based adversarial networks for knowledge graph completion. Neural Comput. Appl. 35(11): 7975-7987 (2023) - [j35]Hari Mohan Pandey, Abdesslem Layeb, David Windridge:
Special Issue on Quantum Inspired Neural Networks for Engineering Optimization. Neural Process. Lett. 55(4): 3811-3812 (2023) - [j34]Massimiliano Incudini
Resource saving via ensemble techniques for quantum neural networks. Quantum Mach. Intell. 5(2): 1-24 (2023) - [j33]Praveer Towakel
Deep Combination of Radar With Optical Data for Gesture Recognition: Role of Attention in Fusion Architectures. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [j32]S. M. Murad Ali
A user-guided personalization methodology to facilitate new smart home occupancy. Univers. Access Inf. Soc. 22(3): 869-891 (2023) - [c54]Silviu Tudor Marc
An Evolutionary Approach to Automated Class-Specific Data Augmentation for Image Classification. DIS 2023: 170-185 - [c53]Vijay Simha Reddy Chennareddy, Santosh Tirunagari
Interpretable Chronic Kidney Disease Risk Prediction from Clinical Data Using Machine Learning. MIWAI 2023: 683-691 - [c52]Santosh Tirunagari
Addressing Challenges in Healthcare Big Data Analytics. MIWAI 2023: 757-765 - [e1]Morusupalli Raghava
Multi-disciplinary Trends in Artificial Intelligence - 16th International Conference, MIWAI 2023, Hyderabad, India, July 21-22, 2023, Proceedings. Lecture Notes in Computer Science 14078, Springer 2023, ISBN 978-3-031-36401-3 [contents] - 2022
- [j31]Tehseen Zia, Shakeeb Murtaza
VANT-GAN: Adversarial Learning for Discrepancy-Based Visual Attribution in Medical Imaging. Pattern Recognit. Lett. 156: 112-118 (2022) - [i9]Massimiliano Incudini, Michele Grossi
The Quantum Path Kernel: a Generalized Quantum Neural Tangent Kernel for Deep Quantum Machine Learning. CoRR abs/2212.11826 (2022) - 2021
- [j30]David Windridge
On the utility of dreaming: A general model for how learning in artificial agents can benefit from data hallucination. Adapt. Behav. 29(3) (2021) - [j29]Hojjat Navidan
Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation. Comput. Networks 194: 108149 (2021) - [j28]Mian Muhammad Naeem Abid, Tehseen Zia
Multi-view Convolutional Recurrent Neural Networks for Lung Cancer Nodule Identification. Neurocomputing 453: 299-311 (2021) - [j27]Tehseen Zia
A generative adversarial network for single and multi-hop distributional knowledge base completion. Neurocomputing 461: 543-551 (2021) - [i8]Mohammad Nabati, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge:
Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach. CoRR abs/2105.01903 (2021) - [i7]Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati, Reza Shahbazian, Seyed Ali Ghorashi, Vahid Shah-Mansouri, David Windridge:
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation. CoRR abs/2105.04184 (2021) - 2020
- [j26]Amir Mahdi Sazdar, Seyed Ali Ghorashi
A Low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems. J. Inf. Secur. Appl. 53: 102515 (2020) - [j25]Hari Mohan Pandey, Nik Bessis
Editorial to special issue on hybrid artificial intelligence and machine learning technologies in intelligent systems. Neural Comput. Appl. 32(12): 7743-7745 (2020) - [j24]Michaela Spiteri
Fully-Automated Identification of Imaging Biomarkers for Post-Operative Cerebellar Mutism Syndrome Using Longitudinal Paediatric MRI. Neuroinformatics 18(1): 151-162 (2020) - [c51]Omar Zammit
Exposing Students to New Terminologies While Collecting Browsing Search Data (Best Technical Paper). SGAI Conf. 2020: 3-17 - [i6]Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian, Seyed Ali Ghorashi, David Windridge:
Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition. CoRR abs/2004.11228 (2020)
2010 – 2019
- 2019
- [j23]S. M. Murad Ali
A Survey of User-Centred Approaches for Smart Home Transfer Learning and New User Home Automation Adaptation. Appl. Artif. Intell. 33(8): 747-774 (2019) - [j22]Mark Brown, David Windridge
A family of globally optimal branch-and-bound algorithms for 2D-3D correspondence-free registration. Pattern Recognit. 93: 36-54 (2019) - [c50]Simon Attfield, Bob Fields, David Windridge, Kai Xu:
An Approach to Human Machine Teaming in Legal Investigations Using Anchored Narrative Visualisation and Machine Learning. LegalAIIA@ICAIL 2019: 7-11 - [c49]Valentina Sulimova, Sergey Bukhonov, Olga Krasotkina, Vadim Mottl, Annette Sterr, Kevin Wells, David Windridge:
Sparse Multimodal Classification of EEG Signals from Rapid Serial Visual Presentation of Diagnostic Images. MLDM (1) 2019: 355-366 - [c48]S. M. Murad Ali
Improving the Adaptation Process for a New Smart Home User. SGAI Conf. 2019: 421-434 - [i5]Santosh Tirunagari, Norman Poh, Kevin Wells, Miroslaw Bober, Isky Gorden, David Windridge:
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images. CoRR abs/1905.10218 (2019) - [i4]Santosh Tirunagari, Norman Poh, Kevin Wells, Miroslaw Bober, Isky Gorden, David Windridge:
Automatic Delineation of Kidney Region in DCE-MRI. CoRR abs/1905.11387 (2019) - 2018
- [j21]David Windridge
Representational fluidity in embodied (artificial) cognition. Biosyst. 172: 9-17 (2018) - [j20]Kamanasish Bhattacharjee
An improved block matching algorithm for motion estimation in video sequences and application in robotics. Comput. Electr. Eng. 68: 92-106 (2018) - [c47]Hari Mohan Pandey, David Windridge:
A Genetic Deep Learning Model for Electrophysiological Soft Robotics. SOFA (1) 2018: 145-151 - 2017
- [j19]Mark Brown, David Windridge
A generalised framework for saliency-based point feature detection. Comput. Vis. Image Underst. 157: 117-137 (2017) - [j18]David Windridge
Emergent Intentionality in Perception-Action Subsumption Hierarchies. Frontiers Robotics AI 4: 38 (2017) - [j17]Santosh Tirunagari
Movement correction in DCE-MRI through windowed and reconstruction dynamic mode decomposition. Mach. Vis. Appl. 28(3-4): 393-407 (2017) - [c46]Mauro Da Lio
Exploiting dream-like simulation mechanisms to develop safer agents for automated driving: The "Dreams4Cars" EU research and innovation action. ITSC 2017: 1-6 - [c45]Alessandra Di Pierro
Hamming Distance Kernelisation via Topological Quantum Computation. TPNC 2017: 269-280 - 2016
- [j16]Prabhjot Juneja, Philp M. Evans
Classification of fibroglandular tissue distribution in the breast based on radiotherapy planning CT. BMC Medical Imaging 16: 6 (2016) - [j15]David Windridge
Kernel combination via debiased object correspondence analysis. Inf. Fusion 27: 228-239 (2016) - [c44]Turki Aljrees
Criminal pattern identification based on modified K-means clustering. ICMLC 2016: 799-806 - [c43]David Windridge
Quantum Bootstrap Aggregation. QI 2016: 115-121 - [i3]Santosh Tirunagari, Norman Poh, Miroslaw Bober, David Windridge:
Can DMD obtain a Scene Background in Color? CoRR abs/1607.06783 (2016) - 2015
- [j14]David Windridge
A Novel Markov Logic Rule Induction Strategy for Characterizing Sports Video Footage. IEEE Multim. 22(2): 24-35 (2015) - [j13]Mark Brown, David Windridge
A generalisable framework for saliency-based line segment detection. Pattern Recognit. 48(12): 3993-4011 (2015) - [j12]Santosh Tirunagari
Detection of Face Spoofing Using Visual Dynamics. IEEE Trans. Inf. Forensics Secur. 10(4): 762-777 (2015) - [j11]Mauro Da Lio
Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems. IEEE Trans. Intell. Transp. Syst. 16(1): 244-263 (2015) - [c42]Mark Brown, David Windridge
Globally Optimal 2D-3D Registration from Points or Lines without Correspondences. ICCV 2015: 2111-2119 - [c41]Michaela Spiteri
Longitudinal MRI assessment: the identification of relevant features in the development of Posterior Fossa Syndrome in children. Medical Imaging: Computer-Aided Diagnosis 2015: 94142L - [c40]Santosh Tirunagari
Windowed DMD as a microtexture descriptor for finger vein counter-spoofing in biometrics. WIFS 2015: 1-6 - [i2]David Windridge:
On the Intrinsic Limits to Representationally-Adaptive Machine-Learning. CoRR abs/1503.02626 (2015) - [i1]Santosh Tirunagari, Norman Poh, Guosheng Hu, David Windridge
Identifying Similar Patients Using Self-Organising Maps: A Case Study on Type-1 Diabetes Self-care Survey Responses. CoRR abs/1503.06316 (2015) - 2014
- [j10]Fei Yan, Josef Kittler, David Windridge
Automatic annotation of tennis games: An integration of audio, vision, and learning. Image Vis. Comput. 32(11): 896-903 (2014) - [j9]Josef Kittler, William J. Christmas, Teofilo de Campos
Domain Anomaly Detection in Machine Perception: A System Architecture and Taxonomy. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 845-859 (2014) - [j8]Aftab Khan, David Windridge
Multilevel Chinese Takeaway Process and Label-Based Processes for Rule Induction in the Context of Automated Sports Video Annotation. IEEE Trans. Cybern. 44(10): 1910-1923 (2014) - [c39]Norman Poh, Santosh Tirunagari
Challenges in designing an online healthcare platform for personalised patient analytics. CIBD 2014: 40-45 - [c38]Santosh Tirunagari
Patient level analytics using self-organising maps: A case study on Type-1 Diabetes self-care survey responses. CIDM 2014: 304-309 - [c37]Elena Chernousova, Pavel Levdik, Alexander Tatarchuk, Vadim Mottl, David Windridge
Non-enumerative Cross Validation for the Determination of Structural Parameters in Feature-Selective SVMs. ICPR 2014: 3654-3659 - [c36]Alexander Tatarchuk, Valentina Sulimova, Ivan Yu. Torshin
Supervised Selective Kernel Fusion for Membrane Protein Prediction. PRIB 2014: 98-109 - [c35]Mark Brown, Jean-Yves Guillemaut, David Windridge:
A Saliency-based Framework for 2D-3D Registration. VISAPP (1) 2014: 265-273 - [p3]David Windridge
A Kernel-Based Framework for Medical Big-Data Analytics. Interactive Knowledge Discovery and Data Mining in Biomedical Informatics 2014: 197-208 - 2013
- [j7]David Windridge
A Framework for Hierarchical Perception-Action Learning Utilizing Fuzzy Reasoning. IEEE Trans. Cybern. 43(1): 155-169 (2013) - [j6]David Windridge
Characterizing Driver Intention via Hierarchical Perception-Action Modeling. IEEE Trans. Hum. Mach. Syst. 43(1): 17-31 (2013) - 2012
- [c34]Shuichiro Taya, David Windridge, Magda Osman:
Experience-based modulation of eye-movement behaviour in dynamic and uncertain visual environments. CogSci 2012 - [c33]Affan Shaukat, Andrew Gilbert, David Windridge, Richard Bowden:
Meeting in the Middle: A top-down and bottom-up approach to detect pedestrians. ICPR 2012: 874-877 - [c32]Oleg Seredin, Vadim Mottl, Alexander Tatarchuk, Nikolay Razin, David Windridge:
Convex support and Relevance Vector Machines for selective multimodal pattern recognition. ICPR 2012: 1647-1650 - [c31]Fei Yan, Josef Kittler, Krystian Mikolajczyk, David Windridge:
Automatic annotation of court games with structured output learning. ICPR 2012: 3577-3580 - [c30]Nikolay Razin, Dmitry Sungurov, Vadim Mottl, Ivan Yu. Torshin
Application of the Multi-modal Relevance Vector Machine to the Problem of Protein Secondary Structure Prediction. PRIB 2012: 153-165 - [p2]Ibrahim Almajai, Fei Yan, Teofilo de Campos
Anomaly Detection and Knowledge Transfer in Automatic Sports Video Annotation. Detection and Identification of Rare Audiovisual Cues 2012: 109-117 - 2011
- [c29]Qiang Huang, Stephen J. Cox, Fei Yan, Teofilo de Campos, David Windridge, Josef Kittler, William J. Christmas:
Improved detection of ball hit events in a tennis game using multimodal information. AVSP 2011: 127-130 - [c28]Debaditya Goswami, Chi-Ho Chan, David Windridge
Evaluation of face recognition system in heterogeneous environments (visible vs NIR). ICCV Workshops 2011: 2160-2167 - [c27]Maxim Panov
A Modified Neutral Point Method for Kernel-Based Fusion of Pattern-Recognition Modalities with Incomplete Data Sets. MCS 2011: 126-136 - [c26]Teofilo de Campos
An evaluation of bags-of-words and spatio-temporal shapes for action recognition. WACV 2011: 344-351 - 2010
- [j5]Norman Poh, David Windridge
Addressing missing values in kernel-based multimodal biometric fusion using neutral point substitution. IEEE Trans. Inf. Forensics Secur. 5(3): 461-469 (2010) - [c25]Ibrahim Almajai, Josef Kittler, Teofilo de Campos
Ball event recognition using hmm for automatic tennis annotation. ICIP 2010: 1509-1512 - [c24]Aftab Khan
Lattice-Based Anomaly Rectification for Sport Video Annotation. ICPR 2010: 4372-4375 - [c23]David Windridge
Tomographic Considerations in Ensemble Bias/Variance Decomposition. MCS 2010: 43-53 - [c22]Alexander Tatarchuk, Eugene Urlov, Vadim Mottl, David Windridge
A Support Kernel Machine for Supervised Selective Combining of Diverse Pattern-Recognition Modalities. MCS 2010: 165-174
2000 – 2009
- 2009
- [j4]Mikhail Shevchenko, David Windridge
A linear-complexity reparameterisation strategy for the hierarchical bootstrapping of capabilities within perception-action architectures. Image Vis. Comput. 27(11): 1702-1714 (2009) - [c21]David Windridge
Handling Multimodal Information Fusion with Missing Observations Using the Neutral Point Substitution Method. MCS 2009: 161-170 - [c20]Alexander Tatarchuk, Valentina Sulimova, David Windridge
Supervised Selective Combining Pattern Recognition Modalities and Its Application to Signature Verification by Fusing On-Line and Off-Line Kernels. MCS 2009: 324-334 - 2008
- [c19]Josef Kittler, David Windridge
Subsurface scattering deconvolution for improved NIR-visible facial image correlation. FG 2008: 1-6 - [c18]Alexander Tatarchuk, Vadim Mottl, Andrey Eliseyev
Selectivity supervision in combining pattern-recognition modalities by feature- and kernel-selective support vector machines. ICPR 2008: 1-4 - [c17]David Windridge
An Entropy-Based Approach to the Hierarchical Acquisition of Perception-Action Capabilities. ICVW 2008: 79-92 - [p1]David Windridge
Epistemic Constraints on Autonomous Symbolic Representation in Natural and Artificial Agents. Applications of Computational Intelligence in Biology 2008: 395-422 - 2007
- [c16]David Windridge
The Neutral Point Method for Kernel-Based Combination of Disjoint Training Data in Multi-modal Pattern Recognition. MCS 2007: 13-21 - 2006
- [c15]Josef Kittler, Mikhail Shevchenko, David Windridge
Visual Bootstrapping for Unsupervised Symbol Grounding. ACIVS 2006: 1037-1046 - [c14]Josef Kittler, Mikhail Shevchenko, David Windridge:
Cognitive learning with automatic goal acquisition. STAIRS 2006: 3-13 - 2005
- [j3]David Windridge
Performance measures of the tomographic classifier fusion methodology. Int. J. Pattern Recognit. Artif. Intell. 19(6): 731-753 (2005) - [j2]David Windridge
Hidden Markov chain estimation and parameterisation via ICA-based feature-selection. Pattern Anal. Appl. 8(1-2): 115-124 (2005) - [c13]Richard Bowden, Liam F. Ellis, Josef Kittler, Mikhail Shevchenko, David Windridge
Unsupervised Symbol Grounding and Cognitive Bootstrapping in Cognitive Vision. ICIAP 2005: 27-36 - [c12]Robin Patenall, David Windridge
Multiple Classifier Fusion Performance in Networked Stochastic Vector Quantisers. Multiple Classifier Systems 2005: 128-135 - [c11]Josef Kittler, William J. Christmas, Alexey Kostin, Fei Yan, Ilias Kolonias, David Windridge
A Memory Architecture and Contextual Reasoning Framework for Cognitive Vision. SCIA 2005: 343-358 - 2004
- [c10]Richard Bowden, David Windridge
A Linguistic Feature Vector for the Visual Interpretation of Sign Language. ECCV (1) 2004: 390-401 - [c9]David Windridge
The Relationship between Classifier Factorisation and Performance in Stochastic Vector Quantisation. Multiple Classifier Systems 2004: 194-203 - [c8]David Windridge
Induced Decision Fusion in Automated Sign Language Interpretation: Using ICA to Isolate the Underlying Components of Sign. Multiple Classifier Systems 2004: 303-313 - [c7]David Windridge
A General Strategy for Hidden Markov Chain Parameterisation in Composite Feature-Spaces. SSPR/SPR 2004: 1069-1077 - 2003
- [j1]David Windridge
A Morphologically Optimal Strategy for Classifier Combination: Multiple Expert Fusion as a Tomographic Process. IEEE Trans. Pattern Anal. Mach. Intell. 25(3): 343-353 (2003) - [c6]Josef Kittler, Alireza Ahmadyfard, David Windridge
Serial Multiple Classifier Systems Exploiting a Coarse to Fine Output Coding. Multiple Classifier Systems 2003: 106-114 - [c5]David Windridge
The Practical Performance Characteristics of Tomographically Filtered Multiple Classifier Fusion. Multiple Classifier Systems 2003: 186-195 - 2002
- [c4]David Windridge
On the General Application of the Tomographic Classifier Fusion Methodology. Multiple Classifier Systems 2002: 149-158 - [c3]David Windridge
Morphologically Unbiased Classifier Combination through Graphical PDF Correlation. SSPR/SPR 2002: 789-797 - 2001
- [c2]David Windridge
Classifier Combination as a Tomographic Process. Multiple Classifier Systems 2001: 248-258 - 2000
- [c1]David Windridge
Combined Classifier Optimisation via Feature Selection. SSPR/SPR 2000: 687-695
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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