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20192026
most citedMarket Model for Demand Response under Block Rate Pricing

5 citations · 8 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.LG2026

LiME: Lightweight Mixture of Experts for Efficient Multimodal Multi-task Learning

Md Kowsher, Haris Mansoor, Nusrat Jahan Prottasha +4

MoE-PEFT methods combine Mixture of Experts with parameter-efficient fine-tuning for multi-task adaptation, but require separate adapters per expert causing trainable parameters to…

cs.LG2025

Breaking the Euclidean Barrier: Hyperboloid-Based Biological Sequence Analysis

Sarwan Ali, Haris Mansoor, Murray Patterson

Genomic sequence analysis plays a crucial role in various scientific and medical domains. Traditional machine-learning approaches often struggle to capture the complex relationship…

cs.LG2024

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…

cs.LG2024

MIK: Modified Isolation Kernel for Biological Sequence Visualization, Classification, and Clustering

Sarwan Ali, Prakash Chourasia, Haris Mansoor +2

The t-Distributed Stochastic Neighbor Embedding (t-SNE) has emerged as a popular dimensionality reduction technique for visualizing high-dimensional data. It computes pairwise simi…

cs.LG2024★ 1 cited

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

Sarwan Ali, Taslim Murad, Prakash Chourasia +4

Understanding the structural and functional characteristics of proteins are crucial for developing preventative and curative strategies that impact fields from drug discovery to po…

cs.LG2022

Impact Of Missing Data Imputation On The Fairness And Accuracy Of Graph Node Classifiers

Haris Mansoor, Sarwan Ali, Shafiq Alam +3

Analysis of the fairness of machine learning (ML) algorithms recently attracted many researchers' interest. Most ML methods show bias toward protected groups, which limits the appl…