An efficient computer simulation-based approach for optimization of complex polling systems with general arrival distributions. - Ali Azadeh; Mohammad Sheikhalishahi; Niloofar Yousefi 001 (Simul., 2014)

Multi-Task Learning with Group-Specific Feature Space Sharing. - Niloofar Yousefi 001; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ECML/PKDD (2), 2015)

Multi-Task Learning Using Neighborhood Kernels. - Niloofar Yousefi 001; Cong Li; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos; Michael Georgiopoulos (CoRR, 2017)

Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. - Niloofar Yousefi 001; Yunwen Lei; Marius Kloft; Mansooreh Mollaghasemi; Georgios C. Anagnostopoulos (J. Mach. Learn. Res., 2018)

DeepFork: Supervised Prediction of Information Diffusion in GitHub. - Ramya Akula; Niloofar Yousefi 001; Ivan Garibay (CoRR, 2019)

A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection. - Niloofar Yousefi 001; Marie Alaghband; Ivan Garibay (CoRR, 2019)

Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model. - Toktam A. Oghaz; Ece Çigdem Mutlu; Jasser Jasser; Niloofar Yousefi 001; Ivan Garibay (HT, 2020)

FePh: An Annotated Facial Expression Dataset for the RWTH-PHOENIX-Weather 2014 Dataset. - Marie Alaghband; Niloofar Yousefi 001; Ivan Garibay (CoRR, 2020)

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. - Ivan Garibay; Toktam A. Oghaz; Niloofar Yousefi 001; Ece C. Mutlu; Madeline Schiappa; Steven R. Scheinert; Georgios C. Anagnostopoulos; Christina Bouwens; Stephen M. Fiore; Alexander V. Mantzaris; John T. Murphy; William Rand; et al. (CoRR, 2020)

Contrastive Counterfactual Fairness in Algorithmic Decision-Making. - Ece Çigdem Mutlu; Niloofar Yousefi 001; Özlem Özmen Garibay (AIES, 2022)

Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. - Özlem Özmen Garibay; Niloofar Yousefi 001; Kevin Aslett; Jacopo A. Baggio; Erik Hemberg; Chathura Jayalath; Alexander V. Mantzaris; Bruce Miller; Una-May O'Reilly; William Rand; Chathurani Senevirathna; Ivan Garibay (CIC, 2022)

AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification. - Mehdi Yazdani-Jahromi; Niloofar Yousefi 001; Aida Tayebi; Elayaraja Kolanthai; Craig J. Neal; Sudipta Seal; Özlem Özmen Garibay (Briefings Bioinform., 2022)

BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposing. - Niloofar Yousefi 001; Mehdi Yazdani-Jahromi; Aida Tayebi; Elayaraja Kolanthai; Craig J. Neal; Tanumoy Banerjee; Agnivo Gosai; Ganesh Balasubramanian; Sudipta Seal; Özlem Özmen Garibay (Briefings Bioinform., 2023)

Learning Fair Representations: Mitigating Statistical Dependencies. - Aida Tayebi; Mehdi Yazdani-Jahromi; Ali Khodabandeh Yalabadi; Niloofar Yousefi 001; Özlem Özmen Garibay (HCI (52), 2024)

FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation. - Ali Khodabandeh Yalabadi; Mehdi Yazdani-Jahromi; Niloofar Yousefi 001; Aida Tayebi; Sina Abdidizaji; Özlem Özmen Garibay (RECOMB, 2024)

Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning. - Nusrat Jahan Prottasha; Asif Mahmud; Md. Shohanur Islam Sobuj; Prakash Bhat; Md. Kowsher; Niloofar Yousefi 001; Özlem Özmen Garibay (CoRR, 2024)

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates. - Md. Kowsher; Tara Esmaeilbeig; Chun-Nam Yu; Mojtaba Soltanalian; Niloofar Yousefi 001 (CoRR, 2024)

LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting. - Md. Kowsher; Md. Shohanur Islam Sobuj; Nusrat Jahan Prottasha; E. Alejandro Alanis; Özlem Özmen Garibay; Niloofar Yousefi 001 (CoRR, 2024)

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates. - Md. Kowsher; Tara Esmaeilbeig; Chun-Nam Yu; Chen Chen; Mojtaba Soltanalian; Niloofar Yousefi 001 (ACL (1), 2025)

Predicting Through Generation: Why Generation Is Better for Prediction. - Md. Kowsher; Nusrat Jahan Prottasha; Prakash Bhat; Chun-Nam Yu; Mojtaba Soltanalian; Ivan Garibay; Ozlem O. Garibay; Chen Chen; Niloofar Yousefi 001 (ACL (1), 2025)

BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting. - Mohammad Jahid Ibna Basher; Md. Kowsher; Md Saiful Islam; Rabindra Nath Nandi; Nusrat Jahan Prottasha; Mehadi Hasan Menon; Tareq Al Muntasir; Shammur Absar Chowdhury; Firoj Alam; Niloofar Yousefi 001; Ozlem O. Garibay (NAACL (Findings), 2025)

Does Self-Attention Need Separate Weights in Transformers? - Md. Kowsher; Nusrat Jahan Prottasha; Chun-Nam Yu; Ozlem O. Garibay; Niloofar Yousefi 001 (NAACL (Industry Track), 2025)

Pan-cancer analysis of CDC7 in human tumors: Integrative multi-omics insights and discovery of novel marine-based inhibitors through machine learning and computational approaches. - Ahmed Saif; Md. Tarikul Islam; Md. Obayed Raihan; Niloofar Yousefi 001; Md. Ajijur Rahman; Hafeez Faridi; Al Riyad Hasan; Mirza Mahfuj Hossain; Rasha Mohammed Saleem; Ghadeer Mohsen Albadrani; Muath Q. Al-Ghadi; Md. Ali Ahasan Setu; et al. (Comput. Biol. Medicine, 2025)

How Bidirectionality Helps Language Models Learn Better via Dynamic Bottleneck Estimation. - Md. Kowsher; Nusrat Jahan Prottasha; Shiyun Xu; Shetu Mohanto; Chen Chen; Ozlem O. Garibay; Niloofar Yousefi 001 (CoRR, 2025)

Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation. - Sina Abdidizaji; Md. Kowsher; Niloofar Yousefi 001; Ivan Garibay (CoRR, 2025)