Niloofar Yousefi

According to our database, Niloofar Yousefi authored at least 25 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation.

Sina Abdidizaji, Md. Kowsher, Niloofar Yousefi, Ivan Garibay

CoRR, June, 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

CoRR, June, 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, 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, Mohamed Kamel, Mohamed M. Abdel-Daim, Md. Aktaruzzaman

Comput. Biol. Medicine, 2025

Does Self-Attention Need Separate Weights in Transformers?

Md. Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu, Ozlem O. Garibay, Niloofar Yousefi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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, Ozlem O. Garibay

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates.

Md. Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, Chen Chen, Mojtaba Soltanalian, Niloofar Yousefi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

CoRR, 2024

RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates.

Md. Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, Mojtaba Soltanalian, Niloofar Yousefi

CoRR, 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, Özlem Özmen Garibay

CoRR, 2024

FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation.

Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Sina Abdidizaji, Özlem Özmen Garibay

Proceedings of the Research in Computational Molecular Biology, 2024

Learning Fair Representations: Mitigating Statistical Dependencies.

Aida Tayebi, Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Niloofar Yousefi, Özlem Özmen Garibay

Proceedings of the Artificial Intelligence in HCI, 2024

2023

BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposing.

Niloofar Yousefi, Mehdi Yazdani-Jahromi, Aida Tayebi, Elayaraja Kolanthai, Craig J. Neal, Tanumoy Banerjee, Agnivo Gosai, Ganesh Balasubramanian, Sudipta Seal, Özlem Özmen Garibay

Briefings Bioinform., May, 2023

2022

AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification.

Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Elayaraja Kolanthai, Craig J. Neal, Sudipta Seal, Özlem Özmen Garibay

Briefings Bioinform., 2022

Entropy-Based Characterization of Influence Pathways in Traditional and Social Media.

Özlem Özmen Garibay, Niloofar Yousefi, Kevin Aslett, Jacopo A. Baggio, Erik Hemberg, Chathura Jayalath, Alexander V. Mantzaris, Bruce Miller, Una-May O'Reilly, William Rand, Chathurani Senevirathna, Ivan Garibay

Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022

Contrastive Counterfactual Fairness in Algorithmic Decision-Making.

Ece Çigdem Mutlu, Niloofar Yousefi, Özlem Özmen Garibay

Proceedings of the AIES '22: AAAI/ACM Conference on AI, Ethics, and Society, Oxford, United Kingdom, May 19, 2022

2020

Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks.

Ivan Garibay, Toktam A. Oghaz, Niloofar Yousefi, Ece C. Mutlu, Madeline Schiappa, Steven R. Scheinert, Georgios C. Anagnostopoulos, Christina Bouwens, Stephen M. Fiore, Alexander V. Mantzaris, John T. Murphy, William Rand, Anastasia Salter, Mel Stanfill, Gita Sukthankar, Nisha Baral, Gabriel Fair, Chathika Gunaratne, Neda Hajiakhoond Bidoki, Jasser Jasser, Chathura Jayalath, Olivia B. Newton, Samaneh Saadat, Chathurani Senevirathna, Rachel Winter, Xi Zhang

CoRR, 2020

FePh: An Annotated Facial Expression Dataset for the RWTH-PHOENIX-Weather 2014 Dataset.

Marie Alaghband, Niloofar Yousefi, Ivan Garibay

CoRR, 2020

Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model.

Toktam A. Oghaz, Ece Çigdem Mutlu, Jasser Jasser, Niloofar Yousefi, Ivan Garibay

Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

2019

A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection.

Niloofar Yousefi, Marie Alaghband, Ivan Garibay

CoRR, 2019

DeepFork: Supervised Prediction of Information Diffusion in GitHub.

Ramya Akula, Niloofar Yousefi, Ivan Garibay

CoRR, 2019

2018

Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning.

Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos

J. Mach. Learn. Res., 2018

2017

Multi-Task Learning Using Neighborhood Kernels.

Niloofar Yousefi, Cong Li, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos

CoRR, 2017

2015

Multi-Task Learning with Group-Specific Feature Space Sharing.

Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

2014

An efficient computer simulation-based approach for optimization of complex polling systems with general arrival distributions.

Ali Azadeh, Mohammad Sheikhalishahi, Niloofar Yousefi

Simul., 2014