Paras Sheth
Paras Sheth
Verified email at
Cited by
Cited by
Causal inference for time series analysis: Problems, methods and evaluation
R Moraffah, P Sheth, M Karami, A Bhattacharya, Q Wang, A Tahir, ...
Knowledge and Information Systems 63, 3041-3085, 2021
Evaluation methods and measures for causal learning algorithms
L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu
IEEE Transactions on Artificial Intelligence 3 (6), 924-943, 2022
Domain Generalization--A Causal Perspective
P Sheth, R Moraffah, KS Candan, A Raglin, H Liu
arXiv preprint arXiv:2209.15177, 2022
Exploring platform migration patterns between twitter and mastodon: A user behavior study
U Jeong, P Sheth, A Tahir, F Alatawi, HR Bernard, H Liu
arXiv preprint arXiv:2305.09196, 2023
Causal disentanglement with network information for debiased recommendations
P Sheth, R Guo, K Ding, L Cheng, KS Candan, H Liu
International Conference on Similarity Search and Applications, 265-273, 2022
Causal learning for socially responsible AI
L Cheng, A Mosallanezhad, P Sheth, H Liu
arXiv preprint arXiv:2104.12278, 2021
How reliable are ai-generated-text detectors? an assessment framework using evasive soft prompts
T Kumarage, P Sheth, R Moraffah, J Garland, H Liu
arXiv preprint arXiv:2310.05095, 2023
Causal disentanglement for implicit recommendations with network information
P Sheth, R Guo, L Cheng, H Liu, KS Candan
ACM Transactions on Knowledge Discovery from Data 17 (7), 1-18, 2023
Peace: Cross-platform hate speech detection-a causality-guided framework
P Sheth, T Kumarage, R Moraffah, A Chadha, H Liu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023
Covaxnet: An online-offline data repository for covid-19 vaccine hesitancy research
B Jiang, P Sheth, B Li, H Liu
arXiv preprint arXiv:2207.01505, 2022
Causality guided disentanglement for cross-platform hate speech detection
P Sheth, R Moraffah, TS Kumarage, A Chadha, H Liu
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach
F Alatawi, P Sheth, H Liu
Proceedings of the International Conference on Advances in Social Networks …, 2023
Improving vaccine stance detection by combining online and offline data
A Tahir, L Cheng, P Sheth, H Liu
arXiv preprint arXiv:2208.04491, 2022
STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems
P Sheth, R Shah, J Sabo, KS Candan, H Liu
2022 IEEE International Conference on Big Data (Big Data), 5578-5583, 2022
CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods
KSC Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu
30th ACM International Conference on Information and Knowledge Management, 2021
Exploring the Target Distribution for Surrogate-Based Black-Box Attacks
R Moraffah, P Sheth, H Liu
2022 IEEE International Conference on Big Data (Big Data), 1310-1315, 2022
Estimating topic exposure for under-represented users on social media
M Karami, A Mosallanezhad, P Sheth, H Liu
arXiv preprint arXiv:2208.03796, 2022
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales
A Nirmal, A Bhattacharjee, P Sheth, H Liu
arXiv preprint arXiv:2403.12403, 2024
A survey of ai-generated text forensic systems: Detection, attribution, and characterization
T Kumarage, G Agrawal, P Sheth, R Moraffah, A Chadha, J Garland, H Liu
arXiv preprint arXiv:2403.01152, 2024
Causal Domain Generalization
P Sheth, H Liu
Machine Learning for Causal Inference, 161-185, 2023
The system can't perform the operation now. Try again later.
Articles 1–20