Haider Raza

Orcid: 0000-0002-3955-0144

According to our database1, Haider Raza authored at least 29 papers between 2013 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Segmentation of Mental Foramen in Orthopantomographs: A Deep Learning Approach.
CoRR, 2024

Enhancing Skin Lesion Classification: A Self-Attention Fusion Approach with Vision Transformer.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

Enhancing Dental Diagnostics: Advanced Image Segmentation Models for Teeth Identification and Enumeration.
Proceedings of the Medical Image Understanding and Analysis - 28th Annual Conference, 2024

2023
CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback.
IEEE Access, 2023

SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network.
Proceedings of the Advances in Computational Intelligence, 2023

An Improved Vision-Transformer Network for Skin Cancer Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

MEGNet: A MEG-Based Deep Learning Model for Cognitive and Motor Imagery Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures.
CoRR, 2022

2021
Emojional: Emoji Embeddings.
Proceedings of the Advances in Computational Intelligence Systems, 2021

2020
Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients' for Neuro-Rehabilitation Application.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface.
Neurocomputing, 2019

Link Prediction Evaluation Using Palette Weisfeiler-Lehman Graph Labelling Algorithm.
Int. J. Knowl. Syst. Sci., 2019

Bagging Adversarial Neural Networks for Domain Adaptation in Non-Stationary EEG.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
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, 2018

Online Covariate Shift Detection-Based Adaptive Brain-Computer Interface to Trigger Hand Exoskeleton Feedback for Neuro-Rehabilitation.
IEEE Trans. Cogn. Dev. Syst., 2018

2017
EEG-EMG based Hybrid Brain Computer Interface for Triggering Hand Exoskeleton for Neuro-Rehabilitation.
Proceedings of the Advances in Robotics, 2017

2016
Adaptive learning for modelling non-stationarity in EEG-based brain-computer interfacing.
PhD thesis, 2016

Adaptive learning with covariate shift-detection for motor imagery-based brain-computer interface.
Soft Comput., 2016

A combination of transductive and inductive learning for handling non-stationarities in motor imagery classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments.
Pattern Recognit., 2015

Optimising frequency band selection with forward-addition and backward-elimination algorithms in EEG-based brain-computer interfaces.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Learning with covariate shift-detection and adaptation in non-stationary environments: Application to brain-computer interface.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A study on cortico-muscular coupling in finger motions for exoskeleton assisted neuro-rehabilitation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Adaptive learning with covariate shift-detection for non-stationary environments.
Proceedings of the 14th UK Workshop on Computational Intelligence, 2014

Covariate shift-adaptation using a transductive learning model for handling non-stationarity in EEG based brain-computer interfaces.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Exploring gaze-motor imagery hybrid brain-computer interface design.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

2013
Dataset Shift Detection in Non-stationary Environments Using EWMA Charts.
Proceedings of the IEEE International Conference on Systems, 2013

EWMA Based Two-Stage Dataset Shift-Detection in Non-stationary Environments.
Proceedings of the Artificial Intelligence Applications and Innovations, 2013


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