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Haider Raza
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2020 – today
- 2024
- [c19]Mohsin Ali
, Moin Hassan, Esra Konsa, John Q. Gan, Akhilanand Chaurasia, Haider Raza:
Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration. MIUA (2) 2024: 19-32 - [c18]Rahmat Izwan Heroza
Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer. MIUA (2) 2024: 309-322 - [i3]Haider Raza, Mohsin Ali, Vishal Krishna Singh, Agustin Wahjuningrum, Rachel Sarig, Akhilanand Chaurasia:
Segmentation of Mental Foramen in Orthopantomographs: A Deep Learning Approach. CoRR abs/2408.04763 (2024) - 2023
- [j7]Sujit Roy
CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback. IEEE Access 11: 17707-17720 (2023) - [c17]Gayathri Mol Shajimon, Isreal Ufumaka, Haider Raza:
An Improved Vision-Transformer Network for Skin Cancer Classification. BIBM 2023: 2213-2216 - [c16]Minerva Sarma, Charles Bond, Sanjeev Nara, Haider Raza:
MEGNet: A MEG-Based Deep Learning Model for Cognitive and Motor Imagery Classification. BIBM 2023: 2571-2578 - [c15]Rahmat Izwan Heroza
SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network. IWANN (1) 2023: 448-460 - 2022
- [i2]Sujit Roy, Gnaneswara Rao Gorle, Vishal Gaur, Haider Raza, Shoaib Jameel:
CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures. CoRR abs/2201.05651 (2022) - 2021
- [c14]Elena Barry, Shoaib Jameel, Haider Raza
Emojional: Emoji Embeddings. UKCI 2021: 312-324 - 2020
- [c13]Haider Raza
Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients' for Neuro-Rehabilitation Application. IJCNN 2020: 1-8 - [c12]Haider Raza
Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j6]Salam Jayachitra Devi, Buddha Singh, Haider Raza
Link Prediction Evaluation Using Palette Weisfeiler-Lehman Graph Labelling Algorithm. Int. J. Knowl. Syst. Sci. 10(1): 1-20 (2019) - [j5]Haider Raza
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface. Neurocomputing 343: 154-166 (2019) - [c11]Haider Raza
Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG. IJCNN 2019: 1-7 - 2018
- [j4]Anirban Chowdhury
Online Covariate Shift Detection-Based Adaptive Brain-Computer Interface to Trigger Hand Exoskeleton Feedback for Neuro-Rehabilitation. IEEE Trans. Cogn. Dev. Syst. 10(4): 1070-1080 (2018) - [j3]Anirban Chowdhury
Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability. IEEE J. Biomed. Health Informatics 22(6): 1786-1795 (2018) - [i1]Haider Raza, Dheeraj Rathee, Shang-Ming Zhou
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface. CoRR abs/1805.01044 (2018) - 2017
- [c10]Anirban Chowdhury, Haider Raza
EEG-EMG based Hybrid Brain Computer Interface for Triggering Hand Exoskeleton for Neuro-Rehabilitation. AIR 2017: 45:1-45:6 - 2016
- [b1]Haider Raza:
Adaptive learning for modelling non-stationarity in EEG-based brain-computer interfacing. Ulster University, UK, 2016 - [j2]Haider Raza
Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface. Soft Comput. 20(8): 3085-3096 (2016) - [c9]Haider Raza
A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification. IJCNN 2016: 763-770 - 2015
- [j1]Haider Raza
EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments. Pattern Recognit. 48(3): 659-669 (2015) - [c8]Anirban Chowdhury, Haider Raza
A study on cortico-muscular coupling in finger motions for exoskeleton assisted neuro-rehabilitation. EMBC 2015: 4610-4614 - [c7]Haider Raza
Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface. IJCNN 2015: 1-8 - [c6]Haider Raza
Optimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfaces. IJCNN 2015: 1-7 - 2014
- [c5]Haider Raza
Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces. BIBM 2014: 230-236 - [c4]Darren O'Doherty, Yogesh Kumar Meena, Haider Raza
Exploring gaze-motor imagery hybrid brain-computer interface design. BIBM 2014: 335-339 - [c3]Haider Raza
Adaptive learning with covariate shift-detection for non-stationary environments. UKCI 2014: 1-8 - 2013
- [c2]Haider Raza
EWMA Based Two-Stage Dataset Shift-Detection in Non-stationary Environments. AIAI 2013: 625-635 - [c1]Haider Raza
Dataset Shift Detection in Non-stationary Environments Using EWMA Charts. SMC 2013: 3151-3156
Coauthor Index
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