publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2024
- Machine LearningGraph Laplacian for Heterogeneous Data Clustering in Sensor-Based Internet of ThingsIETE Journal of Research, 2024
- Machine LearningThe importance of clinical metadata when triaging patients for face-to-face assessment and possible biopsy in a teledermatology pathwayBritish Journal of Dermatology, 2024
- Computer VisionEnhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and EnumerationIn Medical Image Understanding and Analysis (MIUA) 2024, 2024
- Computer VisionEnhancing skin lesion classification: A self-attention fusion approach with vision transformerIn Annual Conference on Medical Image Understanding and Analysis, 2024
- VisionSegmentation of Mental Foramen in Orthopantomographs: A Deep Learning ApproacharXiv preprint arXiv:2408.04763, 2024
- Machine LearningUnlocking the Potential of Patient Metadata for Skin Cancer Detection: An AI FrameworkIn 2024 IEEE International Conference on Digital Health (ICDH), 2024
- Machine LearningOptimizing Patient Care Pathways: Impact Analysis of an AI-Assisted Smart Referral System for Musculoskeletal ServicesIn 2024 IEEE International Conference on Digital Health (ICDH), 2024
- VisionFortifying Deep Neural Networks for Industrial Applications: Feature Map Fusion for Adversarial DefenseIn 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA), 2024
- Machine LearningMachine learning techniques to develop a new risk score for urgent referral of all skin cancer subtypesEuropean Journal of Surgical Oncology, 2024
2023
- NLPCLEFT: contextualised unified learning of user engagement in video lectures with feedbackIEEE Access, 2023
- BCIDecoding numeracy and literacy in the human brain: insights from MEG and MVPAScientific Reports, 2023
- BCIDeep learning methods for analysis of neural signals: From conventional neural network to graph neural networkIn Advanced Methods in Biomedical Signal Processing and Analysis, 2023
- Machine LearningDevelopment of explainable AI-based predictive models for bubbling fluidised bed gasification processFuel, 2023
- Machine LearningSIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese NetworkIn International Work-Conference on Artificial Neural Networks, 2023
- BCIMEGNet: A MEG-Based Deep Learning Model for Cognitive and Motor Imagery ClassificationIn 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
- Computer VisionAn Improved Vision-Transformer Network for Skin Cancer ClassificationIn 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023
- Machine LearningMachine learning and signal processing for neurotechnologies and brain-computer interactions out of the lab2023
2022
- Machine LearningEvent classification and intensity discrimination for forest fire inference with IoTIEEE Sensors Journal, 2022
2021
- BCIA magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interfaceScientific Data, 2021
- NLP
- BCI
2020
- BCISingle-trial EEG classification with EEGNet and neural structured learning for improving BCI performanceIn 2020 International Joint Conference on Neural Networks (IJCNN), 2020
- BCIDeep learning based prediction of EEG motor imagery of stroke patients’ for neuro-rehabilitation applicationIn 2020 International Joint Conference on Neural Networks (IJCNN), 2020
- Machine LearningA national initiative in data science for health: an evaluation of the UK Farr InstituteInternational Journal of Population Data Science, 2020
2019
- BCIAn EEG-EMG correlation-based brain-computer interface for hand orthosis supported neuro-rehabilitationJournal of neuroscience methods, 2019
- Machine LearningPredictors of objectively measured physical activity in 12-month-old infants: A study of linked birth cohort data with electronic health recordsPediatric obesity, 2019
- BCICovariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interfaceNeurocomputing, 2019
- Machine LearningLink prediction evaluation using palette weisfeiler-lehman graph labelling algorithmInternational Journal of Knowledge and Systems Science (IJKSS), 2019
- BCIBagging adversarial neural networks for domain adaptation in non-stationary eegIn 2019 International Joint Conference on Neural Networks (IJCNN), 2019
2018
- BCIActive physical practice followed by mental practice using BCI-driven hand exoskeleton: a pilot trial for clinical effectiveness and usabilityIEEE journal of biomedical and health informatics, 2018
- BCICovariate shift detection-based nonstationary adaptation in motor-imagery-based brain–computer interface2018
2017
- BCICurrent Source Density Estimation Enhances the Performance of Motor-Imagery related Brain-Computer InterfaceIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017
- Machine LearningIdentification of predictors of objectively measured physical activity in 12-month-old British infants: a machine learning driven studyThe Lancet, 2017
- BCICombining mental and physical practice using brain computer interface driven hand exoskeleton for personalized post-stroke neuro-rehabilitationIn 8th Annual Translational Medicine (TMED8), 2017
- BCIEEG-EMG based Hybrid Brain Computer Interface for Triggering Hand Exoskeleton for Neuro-RehabilitationIn 3rd International Conference of Robotics Society of India, 2017
- BCIOnline covariate shift detection-based adaptive brain–computer interface to trigger hand exoskeleton feedback for neuro-rehabilitationIEEE Transactions on Cognitive and Developmental Systems, 2017
2016
- BCIAdaptive learning with covariate shift-detection for motor imagery-based brain–computer interfaceSoft Computing, 2016
- BCIA Combination of Transductive and Inductive Learning for handling Non-Stationarities in Motor Imagery ClassificationIn International Joint Conference on Neural Networks, 2016, 2016
- BCIAdaptive learning for modelling non-stationarity in eeg-based brain-computer interfacingUlster University, 2016
- BCICortico-muscularcoupling and covariate shift adaptation based bci for personalized neurorehabilitation of stroke patientsIn Proc. of BCI Meeting, 2016
2015
- BCIEWMA model based shift-detection methods for detecting covariate shifts in non-stationary environmentsPattern Recognition, 2015
- BCILearning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interfaceIn 2015 International Joint Conference on Neural Networks (IJCNN), 2015
- BCIOptimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfacesIn 2015 international joint conference on neural networks (IJCNN), 2015
- BCIA study on cortico-muscular coupling in finger motions for exoskeleton assisted neuro-rehabilitationIn 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
- BCICortico-Muscular-Coupling based Single-Trial Detection in EEG-EMG based BCI for Personalized Neuro-Rehabilitation of Stroke PatientsIn 7th Annual Translational Medicine Conference (TMED7), 2015
2014
- BCI
- BCIAdaptive learning with covariate shift-detection for non-stationary environmentsIn 2014 14th UK Workshop on Computational Intelligence (UKCI), 2014
- BCICovariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfacesIn 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014
- BCIExploring gaze-motor imagery hybrid brain-computer interface designIn 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2014
2013
- BCIEWMA Based Two-Stage Dataset Shift-Detection in Non-stationary EnvironmentsIn 9th IFIP WG 12.5 International Conference, AIAI 2013, Paphos, Cyprus, September 30 – October 2, 2013,, 2013
- BCIDataset shift detection in non-stationary environments using EWMA chartsIn 2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013
2011
- IoTGBG Approach for Connectivity and Coverage Control in Wireless Sensor NetworkInternational Journal of Computer Applications, 2011
2010
- IoTSelection of cluster-head using PSO in CGSR protocolIn Methods and Models in Computer Science (ICM2CS), 2010 International Conference on, 2010