Mohsen Sheikh Hassani

This paper introduces and compares Dual and Triple RSVP paradigms for P300 speller systems, finding the Dual paradigm offers the best balance between information transfer rate and accuracy.

This paper introduces a multi-view co-training approach for miRNA prediction, improving classification accuracy using unlabelled data without requiring additional labelled training samples.

miPIE improves miRNA prediction by integrating expression-based and sequence-based features across six species, outperforming existing methods like miRDeep2 and miRanalyzer.