5 citations · 8 across the 16 of their papers we have counts for
18 papers
Uncovering Hierarchical Structure in LLM Embeddings with -Hyperbolicity, Ultrametricity, and Neighbor Joining
Prakash Chourasia, Sarwan Ali, Murray Patterson
The rapid advancement of large language models (LLMs) has enabled significant strides in various fields. This paper introduces a novel approach to evaluate the effectiveness of LLM…
Boosting t-SNE Efficiency for Sequencing Data: Insights from Kernel Selection
Avais Jan, Prakash Chourasia, Sarwan Ali +1
Dimensionality reduction techniques are essential for visualizing and analyzing high-dimensional biological sequencing data. t-distributed Stochastic Neighbor Embedding (t-SNE) is…
Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences
Taslim Murad, Prakash Chourasia, Sarwan Ali +2
The availability of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus data post-COVID has reached exponentially to an enormous magnitude, opening research doors to…
Computing Gram Matrix for SMILES Strings using RDKFingerprint and Sinkhorn-Knopp Algorithm
Sarwan Ali, Haris Mansoor, Prakash Chourasia +2
In molecular structure data, SMILES (Simplified Molecular Input Line Entry System) strings are used to analyze molecular structure design. Numerical feature representation of SMILE…
DWFL: Enhancing Federated Learning through Dynamic Weighted Averaging
Prakash Chourasia, Tamkanat E Ali, Sarwan Ali +1
Federated Learning (FL) is a distributed learning technique that maintains data privacy by providing a decentralized training method for machine learning models using distributed b…
EPIC: Enhancing Privacy through Iterative Collaboration
Prakash Chourasia, Heramb Lonkar, Sarwan Ali +1
Advancements in genomics technology lead to a rising volume of viral (e.g., SARS-CoV-2) sequence data, resulting in increased usage of machine learning (ML) in bioinformatics. Trad…