Niloofar Yousefi

According to our database, Niloofar Yousefi authored at least 20 papers between 2014 and 2024.

Collaborative distances:

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

2024

Characterizing Multimedia Information Environment through Multi-modal Clustering of YouTube Videos.

Niloofar Yousefi, Mainuddin Shaik, Nitin Agarwal

CoRR, 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

Multimodal Characterization of Emotion within Multimedia Space.

Dayo Samuel Banjo, Connice Trimmingham, Niloofar Yousefi, Nitin Agarwal

CoRR, 2023

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

CoRR, 2023

Comparing Toxicity Across Social Media Platforms for COVID-19 Discourse.

Nahiyan Bin Noor, Niloofar Yousefi, Billy Spann, Nitin Agarwal

CoRR, 2023

Toxicity and networks of COVID-19 discourse communities: A tale of two media platforms.

Karen DiCicco, Nahiyan Bin Noor, Niloofar Yousefi, Billy Spann, Nitin Agarwal

Proceedings of the 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval 2023 co-located with The 45th European Conference on Information Retrieval (ECIR 2023), 2023

Examining Toxicity's Impact on Reddit Conversations.

Niloofar Yousefi, Nahiyan Bin Noor, Billy Spann, Nitin Agarwal

Proceedings of the Complex Networks & Their Applications XII, 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

An Effective Location-Based Information Filtering System on Mobile Devices.

Marzanah A. Jabar, Niloofar Yousefi, Ramin Ahmadi, Mohammad Yaser Shafazand, Fatimah Sidi

Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014