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Raha Moraffah
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Causal interpretability for machine learning-problems, methods and evaluation
R Moraffah, M Karami, R Guo, A Raglin, H Liu
ACM SIGKDD Explorations Newsletter 22 (1), 18-33, 2020
2172020
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
1012021
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
502022
Linked causal variational autoencoder for inferring paired spillover effects
V Rakesh, R Guo, R Moraffah, N Agarwal, H Liu
Proceedings of the 27th ACM International Conference on Information and …, 2018
382018
Database system support for personalized recommendation applications
M Sarwat, R Moraffah, MF Mokbel, JL Avery
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1320-1331, 2017
212017
Conda: Contrastive domain adaptation for ai-generated text detection
A Bhattacharjee, T Kumarage, R Moraffah, H Liu
arXiv preprint arXiv:2309.03992, 2023
162023
Domain Generalization--A Causal Perspective
P Sheth, R Moraffah, KS Candan, A Raglin, H Liu
arXiv preprint arXiv:2209.15177, 2022
162022
Causal adversarial network for learning conditional and interventional distributions
R Moraffah, B Moraffah, M Karami, A Raglin, H Liu
arXiv preprint arXiv:2008.11376, 2020
122020
A practical data repository for causal learning with big data
L Cheng, R Guo, R Moraffah, KS Candan, A Raglin, H Liu
Benchmarking, Measuring, and Optimizing: Second BenchCouncil International …, 2020
112020
LLMs as Counterfactual Explanation Modules: Can ChatGPT Explain Black-box Text Classifiers?
A Bhattacharjee, R Moraffah, J Garland, H Liu
arXiv preprint arXiv:2309.13340, 2023
102023
Deep causal representation learning for unsupervised domain adaptation
R Moraffah, K Shu, A Raglin, H Liu
arXiv preprint arXiv:1910.12417, 2019
102019
Can: A causal adversarial network for learning observational and interventional distributions
R Moraffah, B Moraffah, M Karami, A Raglin, H Liu
arXiv preprint arXiv:2008.11376, 2020
92020
Hippo in action: Scalable indexing of a billion new york city taxi trips and beyond
J Yu, R Moraffah, M Sarwat
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1413-1414, 2017
92017
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
72023
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
62023
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
42024
Towards LLM-guided Causal Explainability for Black-box Text Classifiers
A Bhattacharjee, R Moraffah, J Garland, H Liu
42024
Query-Efficient Target-Agnostic Black-Box Attack
R Moraffah, H Liu
2022 IEEE International Conference on Data Mining (ICDM), 368-377, 2022
32022
Metric-bayes: Measurements estimation for tracking in high clutter using bayesian nonparametrics
B Moraffah, C Richmond, R Moraffah, A Papandreou-Suppappola
2020 54th Asilomar Conference on Signals, Systems, and Computers, 1518-1522, 2020
32020
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
22022
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