Paras Sheth

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 37

Top Topics

Situation Aware

Feature Selection

Causal Discovery

Top Venues

Publications

Ayushi Nirmal, Amrita Bhattacharjee, Paras Sheth, Huan Liu
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales. CoRR (2024)
Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. WSDM (2024)
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
(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning. ACM Trans. Spatial Algorithms Syst. 10 (2) (2024)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. CoRR (2024)
Tharindu Kumarage, Garima Agrawal, Paras Sheth, Raha Moraffah, Aman Chadha, Joshua Garland, Huan Liu
A Survey of AI-generated Text Forensic Systems: Detection, Attribution, and Characterization. CoRR (2024)
Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu
Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. ICWSM (2024)
Raha Moraffah, Paras Sheth, Saketh Vishnubhatla, Huan Liu
Causal Feature Selection for Responsible Machine Learning. CoRR (2024)
Faisal Alatawi, Paras Sheth, Huan Liu
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. CoRR (2023)
Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Selçuk Candan
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. CIKM (2023)
Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. CoRR (2023)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework. CoRR (2023)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. CoRR (2023)
Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. ICDM (Workshops) (2023)
Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. EMNLP (Findings) (2023)
Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu
PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. ECML/PKDD (1) (2023)
Faisal Alatawi, Paras Sheth, Huan Liu
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. ASONAM (2023)
Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu
How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. CoRR (2023)
Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, Kasim Selçuk Candan
Causal Disentanglement for Implicit Recommendations with Network Information. ACM Trans. Knowl. Discov. Data 17 (7) (2023)
Suraj Jyothi Unni, Paras Sheth, Kaize Ding, Huan Liu, K. Selçuk Candan
UPREVE: An End-to-End Causal Discovery Benchmarking System. CoRR (2023)
Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu
Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. CoRR (2023)
Paras Sheth, Ting Liu, Durmus Doner, Qi Deng, Yuhang Wei, Rebecca Muenich, John Sabo, K. Selçuk Candan, Huan Liu
Causal Discovery for Feature Selection in Physical Process-Based Hydrological Systems. Big Data (2022)
Paras Sheth, Reepal Shah, John Sabo, K. Selçuk Candan, Huan Liu
STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems. Big Data (2022)
Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan
Causal Disentanglement with Network Information for Debiased Recommendations. CoRR (2022)
Raha Moraffah, Paras Sheth, Huan Liu
Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. Big Data (2022)
Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
Evaluation Methods and Measures for Causal Learning Algorithms. CoRR (2022)
Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
Domain Generalization - A Causal Perspective. CoRR (2022)
Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
Estimating Topic Exposure for Under-Represented Users on Social Media. CoRR (2022)
Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selçuk Candan, Huan Liu
Causal Disentanglement with Network Information for Debiased Recommendations. SISAP (2022)
Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research. CoRR (2022)
Anique Tahir, Lu Cheng, Paras Sheth, Huan Liu
Improving Vaccine Stance Detection by Combining Online and Offline Data. CoRR (2022)
Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu
Evaluation Methods and Measures for Causal Learning Algorithms. IEEE Trans. Artif. Intell. 3 (6) (2022)
Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
Causal Inference for Time series Analysis: Problems, Methods and Evaluation. CoRR (2021)
Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Selçuk Candan
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. CIKM (2021)
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
Causal Learning for Socially Responsible AI. CoRR (2021)
Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
Causal inference for time series analysis: problems, methods and evaluation. Knowl. Inf. Syst. 63 (12) (2021)
Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu
Causal Learning for Socially Responsible AI. IJCAI (2021)
Sourav Saha, Ankita Mandal, Paras Sheth, Harshita Narnoli, Priya Ranjan Sinha Mahapatra
A Computer Vision Framework for Partitioning of Image-Object Through Graph Theoretical Heuristic Approach. CICBA (2) (2017)