Publications: Machine learning

Finding behavioural and imaging biomarkers of major depressive disorder (MDD) using artificial intelligence: a review

Major Depressive Disorder (MDD) is a serious ailment in mental health and is a medical illness that has a debilitating impact on a person's ability to think effectively. According to the World Healt

biomarkers imaging behavioural Behavioural biomarkers Imaging biomarkers Major depressive disorder (MDD) Artificial intelligence (AI) Review Biomarker discovery Depression diagnosis Neuroimaging Machine learning Mental health Predictive analytics AI in healthcare Psychiatric disorders Clinical applications AI techniques
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StEduCov: an explored and benchmarked dataset on stance detection in tweets towards online education during COVID-19 pandemic

In this paper, we present StEduCov, an annotated dataset for the analysis of stances toward online education during the COVID-19 pandemic. StEduCov consists of 16,572 tweets gathered over 15 months,

StEduCov Stance detection Tweets Online education COVID-19 pandemic Dataset Benchmarking Social media analysis sentiment analysis Educational technology Pandemic impact Data exploration Public opinion Machine learning Natural language processing
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Effective seizure detection through the fusion of single-feature enhanced-k-NN classifiers of EEG signals

Electroencephalogram (EEG) physiological signals are widely used for detecting epileptic seizure. To reduce complexity stemming from the dimensionality problem, EEG signals are often reduced into a

Seizure detection Fusion Single-feature Enhanced k-NN classifiers EEG signals Effective detection Epileptic seizure Machine learning Signal processing Medical diagnostics Neurology Feature extraction Classification algorithms Biomedical engineering Health informatics
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Attention-Based Model for Accurate Stance Detection

Effective representation learning is an essential building block for achieving many natural language processing tasks such as stance detection as performed implicitly by humans. Stance detection can

Attention-based model Stance detection Natural language processing Text classification Machine learning
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Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections

Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensiv

Machine learning regression multi-target turning movements signalized intersections
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