Taslim Murad

According to our database, Taslim Murad authored at least 17 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

PseAAC2Vec protein encoding for TCR protein sequence classification.

Zahra Tayebi, Sarwan Ali, Taslim Murad, Imdadullah Khan, Murray Patterson

Comput. Biol. Medicine, March, 2024

Molecular sequence classification using efficient kernel based embedding.

Sarwan Ali, Tamkanat E. Ali, Taslim Murad, Haris Mansoor, Murray Patterson

Inf. Sci., 2024

Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks.

Sarwan Ali, Taslim Murad, Prakash Chourasia, Haris Mansoor, Imdadullah Khan, Pin-Yu Chen, Murray Patterson

CoRR, 2024

DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images.

Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson

CoRR, 2024

Weighted Chaos Game Representation for Molecular Sequence Classification.

Taslim Murad, Sarwan Ali, Murray Patterson

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

2023

Spike2CGR: an efficient method for spike sequence classification using chaos game representation.

Taslim Murad, Sarwan Ali, Imdadullah Khan, Murray Patterson

Mach. Learn., October, 2023

Exploring The Potential Of GANs In Biological Sequence Analysis.

Taslim Murad, Sarwan Ali, Murray Patterson

CoRR, 2023

Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning.

Prakash Chourasia, Taslim Murad, Zahra Tayebi, Sarwan Ali, Imdadullah Khan, Murray Patterson

CoRR, 2023

Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection.

Prakash Chourasia, Taslim Murad, Sarwan Ali, Murray Patterson

Proceedings of the Bioinformatics Research and Applications - 19th International Symposium, 2023

A New Direction in Membranolytic Anticancer Peptides classification: Combining Spaced k-mers with Chaos Game Representation.

Taslim Murad, Sarwan Ali, Murray Patterson

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification.

Sarwan Ali, Taslim Murad, Murray Patterson

Proceedings of the International Joint Conference on Neural Networks, 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

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification.

Taslim Murad, Sarwan Ali, Prakash Chourasia, Haris Mansoor, Murray Patterson

Proceedings of the IEEE International Conference on Big Data, 2023

2022

DAO: Dynamic Adaptive Offloading for Video Analytics.

Taslim Murad, Anh Nguyen, Zhisheng Yan

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification.

Sarwan Ali, Taslim Murad, Murray Patterson

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning.

Sarwan Ali, Taslim Murad, Prakash Chourasia, Murray Patterson

Proceedings of the Eighth IEEE International Conference on Big Data Computing Service and Applications, 2022

Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification.

Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson

Proceedings of the Asian Conference on Machine Learning, 2022