Prakash Chourasia

45 papers B 3C 1Journal 26Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Nearest Neighbor CCP-Based Molecular Sequence Analysis. IEEE Trans. Comput. Biol. Bioinform. Sarwan Ali, Prakash Chourasia, Bipin Koirala, Murray Patterson
2025	J	`jnl`	Boosting t-SNE Efficiency for Sequencing Data: Insights from Kernel Selection. CoRR Avais Jan, Prakash Chourasia, Sarwan Ali, Murray Patterson
2025	—	`conf`	Computing Gram Matrix for SMILES Strings Using RDKFingerprint and Sinkhorn-Knopp Algorithm. ICCABS Sarwan Ali, Haris Mansoor, Prakash Chourasia, Imdad Ullah Khan, Murray Patterson
2025	J	`jnl`	Hist2Vec: A histogram and kernel-based embedding method for molecular sequence analysis. Expert Syst. Appl. Sarwan Ali, Tamkanat E. Ali, Haris Mansoor, Prakash Chourasia, Murray Patterson
2025	—	`conf`	Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences. ICCABS Taslim Murad, Prakash Chourasia, Sarwan Ali, Avais Jan, Murray Patterson
2025	J	`jnl`	Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences. CoRR Taslim Murad, Prakash Chourasia, Sarwan Ali, Imdad Ullah Khan, Murray Patterson
2025	—	`conf`	Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks. RECOMB-CG Sarwan Ali, Taslim Murad, Prakash Chourasia, Haris Mansoor, Imdad Ullah Khan, Pin-Yu Chen, Murray Patterson
2025	J	`jnl`	Uncovering Hierarchical Structure in LLM Embeddings with δ-Hyperbolicity, Ultrametricity, and Neighbor Joining. CoRR Prakash Chourasia, Sarwan Ali, Murray Patterson
2024	J	`jnl`	A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis. CoRR Sarwan Ali, Tamkanat E. Ali, Prakash Chourasia, Murray Patterson
2024	—	`conf`	A Universal Non-parametric Approach for Improved Molecular Sequence Analysis. PKDD (4) Sarwan Ali, Tamkanat E. Ali, Prakash Chourasia, Murray Patterson
2024	J	`jnl`	Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm. CoRR Sarwan Ali, Haris Mansoor, Prakash Chourasia, Imdad Ullah Khan, Murray Patterson
2024	J	`jnl`	DANCE: Deep Learning-Assisted Analysis of Protein Sequences Using Chaos Enhanced Kaleidoscopic Images. CoRR Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson
2024	J	`jnl`	DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging. CoRR Prakash Chourasia, Tamkanat E. Ali, Sarwan Ali, Murray Patterson
2024	J	`jnl`	EPIC: Enhancing Privacy through Iterative Collaboration. CoRR Prakash Chourasia, Heramb Lonkar, Sarwan Ali, Murray Patterson
2024	J	`jnl`	Elliptic geometry-based kernel matrix for improved biological sequence classification. Knowl. Based Syst. Sarwan Ali, Madiha Shabbir, Haris Mansoor, Prakash Chourasia, Murray Patterson
2024	J	`jnl`	Expanding Chemical Representation with k-mers and Fragment-based Fingerprints for Molecular Fingerprinting. CoRR Sarwan Ali, Prakash Chourasia, Murray Patterson
2024	J	`jnl`	From PDB files to protein features: a comparative analysis of PDB bind and STCRDAB datasets. Medical Biol. Eng. Comput. Sarwan Ali, Prakash Chourasia, Murray Patterson
2024	—	`conf`	Gaussian Beltrami-Klein Model for Protein Sequence Classification: A Hyperbolic Approach. ISBRA (1) Sarwan Ali, Haris Mansoor, Prakash Chourasia, Yasir Ali, Murray Patterson
2024	—	`conf`	MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering. ML4H@NeurIPS Sarwan Ali, Prakash Chourasia, Haris Mansoor, Bipin Koirala, Murray Patterson
2024	J	`jnl`	MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering. CoRR Sarwan Ali, Prakash Chourasia, Haris Mansoor, Bipin Koirala, Murray Patterson
2024	J	`jnl`	Nearest Neighbor CCP-Based Molecular Sequence Analysis. CoRR Sarwan Ali, Prakash Chourasia, Bipin Koirala, Murray Patterson
2024	J	`jnl`	Position Specific Scoring Is All You Need? Revisiting Protein Sequence Classification Tasks. CoRR Sarwan Ali, Taslim Murad, Prakash Chourasia, Haris Mansoor, Imdad Ullah Khan, Pin-Yu Chen, Murray Patterson
2023	J	`jnl`	Anderson Acceleration For Bioinformatics-Based Machine Learning. CoRR Sarwan Ali, Prakash Chourasia, Murray Patterson
2023	—	`conf`	Anderson Acceleration for Bioinformatics-Based Machine Learning. KDH@IJCAI Sarwan Ali, Prakash Chourasia, Murray Patterson
2023	B	`conf`	Circular Arc Length-Based Kernel Matrix For Protein Sequence Classification. IEEE Big Data Taslim Murad, Sarwan Ali, Prakash Chourasia, Haris Mansoor, Murray Patterson
2023	—	`conf`	Counterfactually Guided Policy Transfer in Clinical Settings. CHIL Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdadullah Khan, Murray Patterson
2023	J	`jnl`	Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning. CoRR Prakash Chourasia, Taslim Murad, Zahra Tayebi, Sarwan Ali, Imdad Ullah Khan, Murray Patterson
2023	B	`conf`	Empowering Pandemic Response with Federated Learning for Protein Sequence Data Analysis. IJCNN Prakash Chourasia, Zahra Tayebi, Sarwan Ali, Murray Patterson
2023	—	`conf`	Enhancing t-SNE Performance for Biological Sequencing Data Through Kernel Selection. ISBRA Prakash Chourasia, Taslim Murad, Sarwan Ali, Murray Patterson
2023	—	`conf`	Hist2Vec: Kernel-Based Embeddings for Biological Sequence Classification. ISBRA Sarwan Ali, Haris Mansoor, Prakash Chourasia, Murray Patterson
2023	—	`conf`	PDB2Vec: Using 3D Structural Information for Improved Protein Analysis. ISBRA Sarwan Ali, Prakash Chourasia, Murray Patterson
2023	J	`jnl`	Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. J. Comput. Biol. Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson
2023	—	`conf`	T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. ICONIP (10) Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, Murray Patterson
2023	J	`jnl`	T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification. CoRR Zahra Tayebi, Sarwan Ali, Prakash Chourasia, Taslim Murad, Murray Patterson
2023	J	`jnl`	ViralVectors: Compact and Scalable Alignment-free Virome Feature Generation. CoRR Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson
2023	J	`jnl`	ViralVectors: compact and scalable alignment-free virome feature generation. Medical Biol. Eng. Comput. Sarwan Ali, Prakash Chourasia, Zahra Tayebi, Babatunde Bello, Murray Patterson
2023	J	`jnl`	Virus2Vec: Viral Sequence Classification Using Machine Learning. CoRR Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdad Ullah Khan, Murray Patterson
2023	—	`conf`	When Biology has Chemistry: Solubility And Drug Subcategory Prediction using SMILES Strings. Tiny Papers @ ICLR Sarwan Ali, Prakash Chourasia, Murray Patterson
2022	C	`conf`	Hashing2Vec: Fast Embedding Generation for SARS-CoV-2 Spike Sequence Classification. ACML Taslim Murad, Prakash Chourasia, Sarwan Ali, Murray Patterson
2022	B	`conf`	Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. IEEE Big Data Prakash Chourasia, Sarwan Ali, Murray Patterson
2022	J	`jnl`	Informative Initialization and Kernel Selection Improves t-SNE for Biological Sequences. CoRR Prakash Chourasia, Sarwan Ali, Murray Patterson
2022	J	`jnl`	PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike Sequences. CoRR Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Yijing Zhou, Murray Patterson
2022	J	`jnl`	Reads2Vec: Efficient Embedding of Raw High-Throughput Sequencing Reads Data. CoRR Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson
2022	—	`conf`	Spike2Signal: Classifying Coronavirus Spike Sequences with Deep Learning. BigDataService Sarwan Ali, Taslim Murad, Prakash Chourasia, Murray Patterson
2021	—	`conf`	Clustering SARS-CoV-2 Variants from Raw High-Throughput Sequencing Reads Data. ICCABS Prakash Chourasia, Sarwan Ali, Simone Ciccolella, Gianluca Della Vedova, Murray Patterson