output
20092026
most citedAn expanded evaluation of protein function prediction methods shows an improvement in accuracy

457 citations

133 papers

cs.AI2026

Beyond Accuracy: Centroid-Guided Contrastive Loss for Structured Fraudulent Job Posting Detection

Syed Ali Ahmed, Malaika Raza, Muhammad Shoaib Siddiqui +1

Fraudulent job posting detection aims to identify job advertisements that are corrupted either through fake content, misleading information, or negative intent, disrupting the onli…

cs.CV2026

Cross-Domain Generalization in Machine Unlearning via Label-Conditioned Energy Magnitude Regularization

Syed Ali Ahmed, Syed Bilal Ahsan, Muhammad Zaigham Zaheer

Machine unlearning removes the influence of specific data from a trained model. However, most methods treat the forgotten concept as isolated. In this paper, we study what happens…

quant-ph2026

First-Principles Optical Descriptors and Hybrid Classical-Quantum Classification of Er-Doped CaF

David Angel Alba Bonilla, Kerem Yurtseven, Krishan Sharma +4

We present a physics-informed classical-quantum machine learning framework for discriminating pristine CaF from Er-doped CaF using first-principles optical descriptors. Fin…

cs.NI2025

Cross-Domain Elephant Flow Detection: A Unified Machine Learning Approach with Application-Aware and Security Features

Tabidah Usmani, Sara Zahid, Amna Javaid

Network traffic classification, particularly elephant flow detection, faces significant challenges when deployed across heterogeneous network environments. While existing approache…

cs.CV2025★ 2 cited

EnergyFormer: Energy Attention with Fourier Embedding for Hyperspectral Image Classification

Saad Sohail, Muhammad Usama, Usman Ghous +3

Hyperspectral imaging (HSI) provides rich spectral-spatial information across hundreds of contiguous bands, enabling precise material discrimination in applications such as environ…

cs.CL2024★ 26 cited

Natural Language Processing for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review

Muhammad Bilal, Ameer Hamza, Nadia Malik

Objective: This review aims to analyze the application of natural language processing (NLP) techniques in cancer research using electronic health records (EHRs) and clinical notes.…