| DAO: Dynamic Adaptive Offloading for Video Analytics T Murad, A Nguyen, Z Yan Proceedings of the 30th ACM International Conference on Multimedia, 3017-3025, 2022 | 12 | 2022 |
| Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning S Ali, T Murad, P Chourasia, M Patterson 2022 IEEE Eighth International Conference on Big Data Computing Service and …, 2022 | 7 | 2022 |
| Exploring the Potential of GANs in Biological Sequence Analysis T Murad, S Ali, M Patterson Biology 12 (6), 854, 2023 | 6 | 2023 |
| Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification M Taslim, C Prakash, A Sarwan, P Murray Asian Conference on Machine Learning, 754-769, 2023 | 4 | 2023 |
| Efficient classification of sars-cov-2 spike sequences using federated learning P Chourasia, T Murad, Z Tayebi, S Ali, IU Khan, M Patterson Annual International Conference on Information Management and Big Data, 80-96, 2023 | 2 | 2023 |
| Spike2CGR: an efficient method for spike sequence classification using chaos game representation T Murad, S Ali, I Khan, M Patterson Machine Learning 112 (10), 3633-3658, 2023 | 2 | 2023 |
| PSSM2Vec: A Compact Alignment-Free Embedding Approach for Coronavirus Spike Sequence Classification S Ali, T Murad, M Patterson International Conference on Neural Information Processing, 420-432, 2022 | 2 | 2022 |
| PseAAC2Vec protein encoding for TCR protein sequence classification Z Tayebi, S Ali, T Murad, I Khan, M Patterson Computers in Biology and Medicine 170, 107956, 2024 | 1 | 2024 |
| Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification T Murad, S Ali, P Chourasia, H Mansoor, M Patterson 2023 IEEE International Conference on Big Data (BigData), 1429-1437, 2023 | 1 | 2023 |
| Enhancing t-SNE Performance for Biological Sequencing Data through Kernel Selection P Chourasia, T Murad, S Ali, M Patterson International Symposium on Bioinformatics Research and Applications, 442-452, 2023 | 1 | 2023 |
| Molecular Sequence Classification Using Efficient Kernel Based Embedding S Ali, TE Ali, T Murad, H Mansoor, M Patterson Information Sciences, 121100, 2024 | | 2024 |
| Weighted Chaos Game Representation for Molecular Sequence Classification T Murad, S Ali, M Patterson Pacific-Asia Conference on Knowledge Discovery and Data Mining, 234-245, 2024 | | 2024 |
| Designing Methods for Representation Learning of Molecular Sequences and its Application in Analysis Tasks T Murad | | 2024 |
| T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification Z Tayebi, S Ali, P Chourasia, T Murad, M Patterson International Conference on Neural Information Processing, 215-227, 2023 | | 2023 |
| Check for updates Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection P Chourasia, T Murad, S Ali, M Patterson Bioinformatics Research and Applications: 19th International Symposium …, 2023 | | 2023 |
| PCD2Vec: A Poisson Correction Distance Based Approach for Viral Host Classification S Ali, T Murad, M Patterson 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |
| Advancing Protein-DNA Binding Site Prediction: Integrating Sequence Models and Machine Learning Classifiers T Murad, S Ali, P Chourasia, M Patterson bioRxiv, 2023.08. 23.554389, 2023 | | 2023 |
| A New Direction in Membranolytic Anticancer Peptides classification: Combining Spaced k-mers with Chaos Game Representation. T Murad, S Ali, M Patterson Procedia Computer Science 222, 666-675, 2023 | | 2023 |
| Biological Sequence Analysis Using B ́ezier Curve T Murad, S Ali, M Patterson | | |
Sarwan AliPh.D. Student, Georgia State University在 student.gsu.edu 的电子邮件经过验证
