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ORCIDNiloofar Yousefi
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2020 – today
- 2024
[c15]Tope Christopher Christopher Falade, Niloofar Yousefi, Nitin Agarwal:
Toxicity Prediction in Reddit. AMCIS 2024- [c14]Mainuddin Shaik, Niloofar Yousefi, Nitin Agarwal:
Role of Co-occurring Words on Mobilization in Brazilian Social Movements. AMCIS 2024 - [c13]Niloofar Yousefi, Nitin Agarwal:
Study the Influence of Toxicity Intensity on Its Propagation Using Epidemiological Models. AMCIS 2024 - [c12]Aida Tayebi, Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Niloofar Yousefi, Özlem Özmen Garibay:
Learning Fair Representations: Mitigating Statistical Dependencies. HCI (52) 2024: 105-115 - [c11]Niloofar Yousefi
, Mert Can Cakmak, Nitin Agarwal:
Examining Multimodel Emotion Assessment and Resonance with Audience on YouTube. ICMIP 2024: 85-93 - [c10]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 - [c9]Niloofar Yousefi, Nitin Agarwal, Emmanuel Addai:
Developing Epidemiological Models with Differentiated Infected Intensity. SBP-BRiMS 2024: 58-68 - [i15]Niloofar Yousefi, Mainuddin Shaik, Nitin Agarwal:
Characterizing Multimedia Information Environment through Multi-modal Clustering of YouTube Videos. CoRR abs/2402.18702 (2024) - [i14]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) - [i13]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) - [i12]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) - 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) - [c8]Mainuddin Shaik, Niloofar Yousefi, Nitin Agarwal, Billy Spann:
Evaluating Role of Instagram's Multimedia in Connective Action Leveraging Diffusion of Innovation and Cognitive Mobilization Theories: Brazilian and Peruvian Social Unrest Case Studies. BESC 2023: 1-6 - [c7]Niloofar Yousefi, Nahiyan Bin Noor, Billy Spann, Nitin Agarwal:
Examining Toxicity's Impact on Reddit Conversations. COMPLEX NETWORKS (4) 2023: 401-411 - [c6]Karen DiCicco, Nahiyan Bin Noor, Niloofar Yousefi, Billy Spann, Nitin Agarwal:
Toxicity and networks of COVID-19 discourse communities: A tale of two media platforms. ROMCIR@ECIR 2023: 30-42 - [i11]Nahiyan Bin Noor, Niloofar Yousefi, Billy Spann, Nitin Agarwal:
Comparing Toxicity Across Social Media Platforms for COVID-19 Discourse. CoRR abs/2302.14270 (2023) - [i10]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) - [i9]Dayo Samuel Banjo, Connice Trimmingham, Niloofar Yousefi, Nitin Agarwal:
Multimodal Characterization of Emotion within Multimedia Space. CoRR abs/2311.11892 (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) - [c5]Ece Çigdem Mutlu, Niloofar Yousefi, Özlem Özmen Garibay:
Contrastive Counterfactual Fairness in Algorithmic Decision-Making. AIES 2022: 499-507 - [c4]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
- [c3]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 - [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)
2010 – 2019
- 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) - 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) - 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
- [c2]Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Learning with Group-Specific Feature Space Sharing. ECML/PKDD (2) 2015: 120-136 - [i1]Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Learning with Group-Specific Feature Space Sharing. CoRR abs/1508.03329 (2015) - 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) - [c1]Marzanah A. Jabar, Niloofar Yousefi, Ramin Ahmadi, Mohammad Yaser Shafazand, Fatimah Sidi:
An Effective Location-Based Information Filtering System on Mobile Devices. SCDM 2014: 409-418
Coauthor Index
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