Paras Sheth

According to our database, Paras Sheth authored at least 29 papers between 2017 and 2024.

Collaborative distances:

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

2024

(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning.

Fahim Tasneema Azad, K. Selçuk Candan, Ahmet Kapkiç, Mao-Lin Li, Huan Liu, Pratanu Mandal, Paras Sheth, Bilgehan Arslan, Gerardo Chowell-Puente, John Sabo, Rebecca Muenich, Javier Redondo Anton, Maria Luisa Sapino

ACM Trans. Spatial Algorithms Syst., June, 2024

Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement.

Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu

CoRR, 2024

Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales.

Ayushi Nirmal, Amrita Bhattacharjee, Paras Sheth, Huan Liu

CoRR, 2024

A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization.

Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, Huan Liu

CoRR, 2024

Causal Feature Selection for Responsible Machine Learning.

Raha Moraffah, Paras Sheth, Saketh Vishnubhatla, Huan Liu

CoRR, 2024

Causality Guided Disentanglement for Cross-Platform Hate Speech Detection.

Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study.

Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu

Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning.

Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Causal Disentanglement for Implicit Recommendations with Network Information.

Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan

ACM Trans. Knowl. Discov. Data, 2023

UPREVE: An End-to-End Causal Discovery Benchmarking System.

Suraj Jyothi Unni, Paras Sheth, Kaize Ding, Huan Liu, K. Selçuk Candan

CoRR, 2023

PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework.

Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection.

Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts.

Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach.

Faisal Alatawi, Paras Sheth, Huan Liu

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

Evaluation Methods and Measures for Causal Learning Algorithms.

Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu

IEEE Trans. Artif. Intell., 2022

Domain Generalization - A Causal Perspective.

Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu

CoRR, 2022

Improving Vaccine Stance Detection by Combining Online and Offline Data.

Anique Tahir, Lu Cheng, Paras Sheth, Huan Liu

CoRR, 2022

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

Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu

CoRR, 2022

CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research.

Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu

CoRR, 2022

Causal Disentanglement with Network Information for Debiased Recommendations.

Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan

CoRR, 2022

Causal Disentanglement with Network Information for Debiased Recommendations.

Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selçuk Candan, Huan Liu

Proceedings of the Similarity Search and Applications - 15th International Conference, 2022

STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems.

Paras Sheth, Reepal Shah, John Sabo, K. Selçuk Candan, Huan Liu

Proceedings of the IEEE International Conference on Big Data, 2022

Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems.

Paras Sheth, Ting Liu, Durmus Doner, Qi Deng, Yuhang Wei, Rebecca Muenich, John Sabo, K. Selçuk Candan, Huan Liu

Proceedings of the IEEE International Conference on Big Data, 2022

Exploring the Target Distribution for Surrogate-Based Black-Box Attacks.

Raha Moraffah, Paras Sheth, Huan Liu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Causal inference for time series analysis: problems, methods and evaluation.

Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu

Knowl. Inf. Syst., 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

CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods.

Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2017

A Computer Vision Framework for Partitioning of Image-Object Through Graph Theoretical Heuristic Approach.

Sourav Saha, Ankita Mandal, Paras Sheth, Harshita Narnoli, Priya Ranjan Sinha Mahapatra

Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017