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ORCIDNiloofar Yousefi 0001
Person information
- affiliation: University of Central Florida, Orlando, FL, USA
Other persons with the same name
- Niloofar Yousefi 0002
![[0009-0005-0071-733X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0005-0071-733X")
— University of Arkansas, Little Rock, AR, USA - Niloofar Yousefi 0003 — Universiti Putra Malaysia, Serdang, Malaysia
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Journal Articles
- 2025
[j5]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:
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. Comput. Biol. Medicine 190: 110044 (2025)- 2023
- [j4]Niloofar Yousefi, Mehdi Yazdani-Jahromi, Aida Tayebi, Elayaraja Kolanthai, Craig J. Neal, Tanumoy Banerjee, Agnivo Gosai, Ganesh Balasubramanian, Sudipta Seal, Özlem Özmen Garibay:
BindingSite-AugmentedDTA: enabling a next-generation pipeline for interpretable prediction models in drug repurposing. Briefings Bioinform. 24(3) (2023) - 2022
- [j3]Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Elayaraja Kolanthai, Craig J. Neal, Sudipta Seal, Özlem Özmen Garibay:
AttentionSiteDTI: an interpretable graph-based model for drug-target interaction prediction using NLP sentence-level relation classification. Briefings Bioinform. 23(4) (2022) - 2018
- [j2]Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. J. Mach. Learn. Res. 19: 38:1-38:47 (2018) - 2014
- [j1]Ali Azadeh, Mohammad Sheikhalishahi, Niloofar Yousefi:
An efficient computer simulation-based approach for optimization of complex polling systems with general arrival distributions. Simul. 90(12): 1346-1359 (2014)
Conference and Workshop Papers
- 2025
- [c10]Md. Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, Chen Chen, Mojtaba Soltanalian, Niloofar Yousefi:
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates. ACL (1) 2025: 26659-26678 - [c9]Md. Kowsher, Nusrat Jahan Prottasha, Prakash Bhat, Chun-Nam Yu, Mojtaba Soltanalian, Ivan Garibay, Ozlem O. Garibay, Chen Chen, Niloofar Yousefi:
Predicting Through Generation: Why Generation Is Better for Prediction. ACL (1) 2025: 26845-26871 - [c8]Md. Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu, Ozlem O. Garibay, Niloofar Yousefi:
Does Self-Attention Need Separate Weights in Transformers? NAACL (Industry Track) 2025: 535-543 - [c7]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:
BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting. NAACL (Findings) 2025: 4956-4968 - 2024
- [c6]Aida Tayebi, Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Niloofar Yousefi, Özlem Özmen Garibay:
Learning Fair Representations: Mitigating Statistical Dependencies. HCI (52) 2024: 105-115 - [c5]Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Sina Abdidizaji, Özlem Özmen Garibay:
FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation. RECOMB 2024: 68-85 - 2022
- [c4]Ece Çigdem Mutlu, Niloofar Yousefi, Özlem Özmen Garibay:
Contrastive Counterfactual Fairness in Algorithmic Decision-Making. AIES 2022: 499-507 - [c3]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:
Entropy-Based Characterization of Influence Pathways in Traditional and Social Media. CIC 2022: 38-44 - 2020
- [c2]Toktam A. Oghaz, Ece Çigdem Mutlu, Jasser Jasser, Niloofar Yousefi, Ivan Garibay:
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model. HT 2020: 281-290 - 2015
- [c1]Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Learning with Group-Specific Feature Space Sharing. ECML/PKDD (2) 2015: 120-136
Informal and Other Publications
- 2025
- [i17]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:
BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting. CoRR abs/2502.05729 (2025) - [i16]Md. Kowsher, Nusrat Jahan Prottasha, Prakash Bhat, Chun-Nam Yu, Mojtaba Soltanalian, Ivan Garibay, Ozlem O. Garibay, Chen Chen, Niloofar Yousefi:
Predicting Through Generation: Why Generation Is Better for Prediction. CoRR abs/2502.17817 (2025) - [i15]Md. Kowsher, Nusrat Jahan Prottasha, Shiyun Xu, Shetu Mohanto, Chen Chen, Ozlem O. Garibay, Niloofar Yousefi:
How Bidirectionality Helps Language Models Learn Better via Dynamic Bottleneck Estimation. CoRR abs/2506.00859 (2025) - [i14]Sina Abdidizaji, Md. Kowsher, Niloofar Yousefi, Ivan Garibay:
Explainable Detection of Implicit Influential Patterns in Conversations via Data Augmentation. CoRR abs/2506.14211 (2025) - 2024
- [i13]Nusrat Jahan Prottasha, Asif Mahmud, Md. Shohanur Islam Sobuj, Prakash Bhat, Md. Kowsher, Niloofar Yousefi, Özlem Özmen Garibay:
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning. CoRR abs/2410.08598 (2024) - [i12]Md. Kowsher, Tara Esmaeilbeig, Chun-Nam Yu, Mojtaba Soltanalian, Niloofar Yousefi:
RoCoFT: Efficient Finetuning of Large Language Models with Row-Column Updates. CoRR abs/2410.10075 (2024) - [i11]Md. Kowsher, Md. Shohanur Islam Sobuj, Nusrat Jahan Prottasha, E. Alejandro Alanis, Özlem Özmen Garibay, Niloofar Yousefi:
LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting. CoRR abs/2410.11674 (2024) - [i10]Md. Kowsher, Nusrat Jahan Prottasha, Chun-Nam Yu, Ozlem O. Garibay, Niloofar Yousefi:
Does Self-Attention Need Separate Weights in Transformers? CoRR abs/2412.00359 (2024) - 2023
- [i9]Ali Khodabandeh Yalabadi, Mehdi Yazdani-Jahromi, Niloofar Yousefi, Aida Tayebi, Sina Abdidizaji, Özlem Özmen Garibay:
FragXsiteDTI: Revealing Responsible Segments in Drug-Target Interaction with Transformer-Driven Interpretation. CoRR abs/2311.02326 (2023) - 2020
- [i8]Marie Alaghband, Niloofar Yousefi, Ivan Garibay:
FePh: An Annotated Facial Expression Dataset for the RWTH-PHOENIX-Weather 2014 Dataset. CoRR abs/2003.08759 (2020) - [i7]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:
Deep Agent: Studying the Dynamics of Information Spread and Evolution in Social Networks. CoRR abs/2003.11611 (2020) - [i6]Toktam A. Oghaz, Ece C. Mutlu, Jasser Jasser, Niloofar Yousefi, Ivan Garibay:
Probabilistic Model of Narratives Over Topical Trends in Social Media: A Discrete Time Model. CoRR abs/2004.06793 (2020) - 2019
- [i5]Ramya Akula, Niloofar Yousefi, Ivan Garibay:
DeepFork: Supervised Prediction of Information Diffusion in GitHub. CoRR abs/1910.07999 (2019) - [i4]Niloofar Yousefi, Marie Alaghband, Ivan Garibay:
A Comprehensive Survey on Machine Learning Techniques and User Authentication Approaches for Credit Card Fraud Detection. CoRR abs/1912.02629 (2019) - 2017
- [i3]Niloofar Yousefi, Cong Li, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
Multi-Task Learning Using Neighborhood Kernels. CoRR abs/1707.03426 (2017) - 2016
- [i2]Niloofar Yousefi, Yunwen Lei, Marius Kloft, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning. CoRR abs/1602.05916 (2016) - 2015
- [i1]Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Learning with Group-Specific Feature Space Sharing. CoRR abs/1508.03329 (2015)
Coauthor Index
aka: Özlem Özmen Garibay
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