Cluster-Based Relative Outlier Under-Sampling Technique. - Atif Hassan; Rohini Banerjee; Pabitra Mitra; Pralay Mitra (ICDM, 2019)

ERLKG: Entity Representation Learning and Knowledge Graph based association analysis of COVID-19 through mining of unstructured biomedical corpora. - Sayantan Basu; Sinchani Chakraborty; Atif Hassan; Sana Siddique; Ashish Anand (SDP@EMNLP, 2020)

An Ensemble-Learning Based Application to Predict the Earlier Stages of Alzheimer's Disease (AD). - Asif Hassan Syed; Md. Tabrej Khan; Atif Hassan; Nashwan A. Alromema; Muhammad Binsawad; Alhuseen Omar Alsayed (IEEE Access, 2020)

PPFS: Predictive Permutation Feature Selection. - Atif Hassan; Jiaul H. Paik; Swanand R. Khare; Asif Hassan Syed (CoRR, 2021)

Dynamic Forward and Backward Sparse Training (DFBST): Accelerated Deep Learning through Completely Sparse Training Schedule. - Tejas Pote; Muhammad Athar Ganaie; Atif Hassan; Swanand R. Khare (ACML, 2022)

Evaluating the Robustness of Biomedical Concept Normalization. - Sinchani Chakraborty; Harsh Raj; Srishti Gureja; Tanmay Jain; Atif Hassan; Sayantan Basu (TL4NLP, 2022)

RCAP: Robust, Class-Aware, Probabilistic Dynamic Dataset Pruning. - Atif Hassan; Swanand R. Khare; Jiaul H. Paik (UAI, 2025)

SPvR: Structured Pruning via Ranking. - Atif Hassan; Jiaul H. Paik; Swanand R. Khare (UAI, 2025)

SALSA: A Secure, Adaptive and Label-Agnostic Scalable Algorithm for Machine Unlearning. - Owais Makroo; Atif Hassan; Swanand R. Khare (UAI, 2025)

A wrapper feature selection approach using Markov blankets. - Atif Hassan; Jiaul Hoque Paik; Swanand R. Khare; Asif Hassan Syed (Pattern Recognit., 2025)