EWMA Based Two-Stage Dataset Shift-Detection in Non-stationary Environments. - Haider Raza; Girijesh Prasad; Yuhua Li 001 (AIAI, 2013)

Dataset Shift Detection in Non-stationary Environments Using EWMA Charts. - Haider Raza; Girijesh Prasad; Yuhua Li 001 (SMC, 2013)

Exploring gaze-motor imagery hybrid brain-computer interface design. - Darren O'Doherty; Yogesh Kumar Meena; Haider Raza; Hubert Cecotti; Girijesh Prasad (BIBM, 2014)

Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces. - Haider Raza; Girijesh Prasad; Yuhua Li 001; Hubert Cecotti (BIBM, 2014)

Adaptive learning with covariate shift-detection for non-stationary environments. - Haider Raza; Girijesh Prasad; Yuhua Li 001 (UKCI, 2014)

A study on cortico-muscular coupling in finger motions for exoskeleton assisted neuro-rehabilitation. - Anirban Chowdhury; Haider Raza; Ashish Dutta; Shyam Sunder Nishad; Anupam Saxena; Girijesh Prasad (EMBC, 2015)

Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface. - Haider Raza; Hubert Cecotti; Yuhua Li 001; Girijesh Prasad (IJCNN, 2015)

Optimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfaces. - Haider Raza; Hubert Cecotti; Girijesh Prasad (IJCNN, 2015)

EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments. - Haider Raza; Girijesh Prasad; Yuhua Li 001 (Pattern Recognit., 2015)

A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification. - Haider Raza; Hubert Cecotti; Girijesh Prasad (IJCNN, 2016)

Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface. - Haider Raza; Hubert Cecotti; Yuhua Li 001; Girijesh Prasad (Soft Comput., 2016)

Adaptive learning for modelling non-stationarity in EEG-based brain-computer interfacing. - Haider Raza (2016)

EEG-EMG based Hybrid Brain Computer Interface for Triggering Hand Exoskeleton for Neuro-Rehabilitation. - Anirban Chowdhury; Haider Raza; Ashish Dutta; Girijesh Prasad (AIR, 2017)

Online Covariate Shift Detection-Based Adaptive Brain-Computer Interface to Trigger Hand Exoskeleton Feedback for Neuro-Rehabilitation. - Anirban Chowdhury; Haider Raza; Yogesh Kumar Meena; Ashish Dutta; Girijesh Prasad (IEEE Trans. Cogn. Dev. Syst., 2018)

Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability. - Anirban Chowdhury; Yogesh Kumar Meena; Haider Raza; Braj Bhushan; Ashwani Kumar Uttam; Nirmal Pandey; Adnan Ariz Hashmi; Alok Bajpai; Ashish Dutta; Girijesh Prasad (IEEE J. Biomed. Health Informatics, 2018)

Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG. - Haider Raza; Spyridon Samothrakis (IJCNN, 2019)

Link Prediction Evaluation Using Palette Weisfeiler-Lehman Graph Labelling Algorithm. - Salam Jayachitra Devi; Buddha Singh; Haider Raza (Int. J. Knowl. Syst. Sci., 2019)

Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface. - Haider Raza; Dheeraj Rathee; Shang-Ming Zhou; Hubert Cecotti; Girijesh Prasad (Neurocomputing, 2019)

Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients' for Neuro-Rehabilitation Application. - Haider Raza; Anirban Chowdhury; Saugat Bhattacharyya (IJCNN, 2020)

Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance. - Haider Raza; Anirban Chowdhury; Saugat Bhattacharyya; Spyros Samothrakis (IJCNN, 2020)

Emojional: Emoji Embeddings. - Elena Barry; Shoaib Jameel; Haider Raza (UKCI, 2021)

CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures. - Sujit Roy; Gnaneswara Rao Gorle; Vishal Gaur; Haider Raza; Shoaib Jameel (CoRR, 2022)

MEGNet: A MEG-Based Deep Learning Model for Cognitive and Motor Imagery Classification. - Minerva Sarma; Charles Bond; Sanjeev Nara; Haider Raza (BIBM, 2023)

An Improved Vision-Transformer Network for Skin Cancer Classification. - Gayathri Mol Shajimon; Isreal Ufumaka; Haider Raza (BIBM, 2023)

SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network. - Rahmat Izwan Heroza; John Q. Gan; Haider Raza (IWANN (1), 2023)

CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback. - Sujit Roy; Vishal Gaur; Haider Raza; Shoaib Jameel (IEEE Access, 2023)

Integrating Spatial Information into Global Context: Summary Vision Transformer (S-ViT). - Mohsin Ali; Haider Raza; John Q. Gan; Muhammad Haris (DICTA, 2024)

Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration. - Mohsin Ali; Moin Hassan; Esra Konsa; John Q. Gan; Akhilanand Chaurasia; Haider Raza (MIUA (2), 2024)

Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer. - Rahmat Izwan Heroza; John Q. Gan; Haider Raza (MIUA (2), 2024)

Segmentation of Mental Foramen in Orthopantomographs: A Deep Learning Approach. - Haider Raza; Mohsin Ali; Vishal Krishna Singh; Agustin Wahjuningrum; Rachel Sarig; Akhilanand Chaurasia (CoRR, 2024)

An Explainable Machine Learning Approach for Age and Gender Estimation in Living Individuals Using Dental Biometrics. - Mohsin Ali; Haider Raza; John Q. Gan; Ariel Pokhojaev; Matanel Katz; Esra Kosan; Agustin Wahjuningrum; Omnina Saleh; Rachel Sarig; Akhilanada Chaurasia (CoRR, 2024)

Optimising Vision Transformer Performance on Limited Datasets: A Multi-Gradient Approach. - Mohsin Ali; Haider Raza; John Q. Gan; Muhammad Haris (CVPR Workshops, 2025)

FedCIAL: Federated Color-Invariant Adversarial Learning for Enhancing Fairness and Performance in Skin Lesion Classification. - Rahmat Izwan Heroza; John Q. Gan; Haider Raza (CVPR Workshops, 2025)