Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. - Taslim Murad; Prakash Chourasia; Sarwan Ali; Murray Patterson (ACML, 2022)

Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning. - Sarwan Ali; Taslim Murad; Prakash Chourasia; Murray Patterson (BigDataService, 2022)

PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification. - Sarwan Ali; Taslim Murad; Murray Patterson (ICONIP (7), 2022)

DAO: Dynamic Adaptive Offloading for Video Analytics. - Taslim Murad; Anh Nguyen; Zhisheng Yan (ACM Multimedia, 2022)

Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification. - Taslim Murad; Sarwan Ali; Prakash Chourasia; Haris Mansoor; Murray Patterson (IEEE Big Data, 2023)

T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. - Zahra Tayebi; Sarwan Ali; Prakash Chourasia; Taslim Murad; Murray Patterson (ICONIP (10), 2023)

PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification. - Sarwan Ali; Taslim Murad; Murray Patterson (IJCNN, 2023)

A New Direction in Membranolytic Anticancer Peptides classification: Combining Spaced k-mers with Chaos Game Representation. - Taslim Murad; Sarwan Ali; Murray Patterson (INNS DLIA@IJCNN, 2023)

Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection. - Prakash Chourasia; Taslim Murad; Sarwan Ali; Murray Patterson (ISBRA, 2023)

Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning. - Prakash Chourasia; Taslim Murad; Zahra Tayebi; Sarwan Ali; Imdad Ullah Khan; Murray Patterson (CoRR, 2023)

Exploring The Potential Of GANs In Biological Sequence Analysis. - Taslim Murad; Sarwan Ali; Murray Patterson (CoRR, 2023)

Spike2CGR: an efficient method for spike sequence classification using chaos game representation. - Taslim Murad; Sarwan Ali; Imdadullah Khan; Murray Patterson (Mach. Learn., 2023)

Weighted Chaos Game Representation for Molecular Sequence Classification. - Taslim Murad; Sarwan Ali; Murray Patterson (PKDD (4), 2024)

DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images. - Taslim Murad; Prakash Chourasia; Sarwan Ali; Murray Patterson (CoRR, 2024)

Molecular sequence classification using efficient kernel based embedding. - Sarwan Ali; Tamkanat E. Ali; Taslim Murad; Haris Mansoor; Murray Patterson (Inf. Sci., 2024)

PseAAC2Vec protein encoding for TCR protein sequence classification. - Zahra Tayebi; Sarwan Ali; Taslim Murad; Imdadullah Khan; Murray Patterson (Comput. Biol. Medicine, 2024)

Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks. - Sarwan Ali; Taslim Murad; Prakash Chourasia; Haris Mansoor; Imdad Ullah Khan; Pin-Yu Chen; Murray Patterson (RECOMB-CG, 2025)

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences. - Taslim Murad; Prakash Chourasia; Sarwan Ali; Imdad Ullah Khan; Murray Patterson (CoRR, 2025)

Sequence Analysis Using the Bezier Curve. - Taslim Murad; Sarwan Ali; Murray Patterson (CoRR, 2025)