Ahmadreza Mosallanezhad

According to our database, Ahmadreza Mosallanezhad authored at least 18 papers between 2019 and 2024.

Collaborative distances:

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

2024

Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST).

Pouria Salehi, Yang Ba, Nayoung Kim, Ahmadreza Mosallanezhad, Anna Pan, Myke C. Cohen, Yixuan Wang, Jieqiong Zhao, Shawaiz Bhatti, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou

J. Artif. Intell. Res., 2024

2023

Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST).

Pouria Salehi, Yang Ba, Nayoung Kim, Ahmadreza Mosallanezhad, Anna Pan, Myke C. Cohen, Yixuan Wang, Jieqiong Zhao, Shawaiz Bhatti, James Sung, Erik Blasch, Michelle V. Mancenido, Erin K. Chiou

CoRR, 2023

STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction.

Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data.

Nayoung Kim, Ahmadreza Mosallanezhad, Lu Cheng, Baoxin Li, Huan Li

CoRR, 2022

Estimating Topic Exposure for Under-Represented Users on Social Media.

Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu

CoRR, 2022

Domain Adaptive Fake News Detection via Reinforcement Learning.

Ahmadreza Mosallanezhad, Mansooreh Karami, Kai Shu, Michelle V. Mancenido, Huan Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Bias Mitigation for Toxicity Detection via Sequential Decisions.

Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation?

Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

PPSL: Privacy-Preserving Text Classification for Split Learning.

Walaa Alnasser, Ghazaleh Beigi, Ahmadreza Mosallanezhad, Huan Liu

Proceedings of the 4th International Conference on Data Intelligence and Security, 2022

2021

ParsiNLU: A Suite of Language Understanding Challenges for Persian.

Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabadi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh

Trans. Assoc. Comput. Linguistics, 2021

"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis.

Mansooreh Karami, Ahmadreza Mosallanezhad, Michelle V. Mancenido, Huan Liu

CoRR, 2021

Causal Learning for Socially Responsible AI.

Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Generating Topic-Preserving Synthetic News.

Ahmadreza Mosallanezhad, Kai Shu, Huan Liu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach.

Lu Cheng, Ahmadreza Mosallanezhad, Yasin N. Silva, Deborah L. Hall, Huan Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach.

Ahmadreza Mosallanezhad, Kai Shu, Huan Liu

CoRR, 2020

Toward Privacy and Utility Preserving Image Representation.

Ahmadreza Mosallanezhad, Yasin N. Silva, Michelle V. Mancenido, Huan Liu

CoRR, 2020

Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning.

Ghazaleh Beigi, Ahmadreza Mosallanezhad, Ruocheng Guo, Hamidreza Alvari, Alexander Nou, Huan Liu

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

2019

Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference.

Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019