Prakash Chourasia

According to our database, Prakash Chourasia authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

2024

A Universal Non-parametric Approach for Improved Molecular Sequence Analysis.

Sarwan Ali, Tamkanat E. Ali, Prakash Chourasia, Murray Patterson

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

2023

Anderson Acceleration for Bioinformatics-Based Machine Learning.

Sarwan Ali, Prakash Chourasia, Murray Patterson

Proceedings of the 6th International Workshop on Knowledge Discovery from Healthcare Data co-located with 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023), 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

Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification.

Sarwan Ali, Haris Mansoor, Prakash Chourasia, Murray Patterson

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

PDB2Vec: Using 3D Structural Information for Improved Protein Analysis.

Sarwan Ali, Prakash Chourasia, Murray Patterson

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

Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis.

Prakash Chourasia, Zahra Tayebi, Sarwan Ali, 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

When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings.

Sarwan Ali, Prakash Chourasia, Murray Patterson

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Counterfactually Guided Policy Transfer in Clinical Settings.

Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson

Proceedings of the Conference on Health, Inference, and Learning, 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

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

Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences.

Prakash Chourasia, Sarwan Ali, Murray Patterson

Proceedings of the IEEE International Conference on Big Data, 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

2021

Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data.

Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson

Proceedings of the Computational Advances in Bio and Medical Sciences: 11th International Conference, 2021