Spremljaj
Raha Moraffah
Raha Moraffah
Assistant Professor of Computer Science, WPI
Preverjeni e-poštni naslov na wpi.edu - Domača stran
Naslov
Navedeno
Navedeno
Leto
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
2802020
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
1482021
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
792022
Conda: Contrastive domain adaptation for ai-generated text detection
A Bhattacharjee, T Kumarage, R Moraffah, H Liu
arXiv preprint arXiv:2309.03992, 2023
442023
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
422018
Towards llm-guided causal explainability for black-box text classifiers
A Bhattacharjee, R Moraffah, J Garland, H Liu
arXiv preprint arXiv:2309.13340, 2023
332023
Domain Generalization--A Causal Perspective
P Sheth, R Moraffah, KS Candan, A Raglin, H Liu
arXiv preprint arXiv:2209.15177, 2022
252022
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
232017
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
202023
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
192020
The wolf within: Covert injection of malice into mllm societies via an mllm operative
Z Tan, C Zhao, R Moraffah, Y Li, Y Kong, T Chen, H Liu
arXiv preprint arXiv:2402.14859, 2024
182024
LLMs as counterfactual explanation modules: can ChatGPT explain blackbox text classifiers
A Bhattacharjee, R Moraffah, J Garland, H Liu
arXiv preprint arXiv:2309.13340 4, 2023
142023
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
142020
Deep causal representation learning for unsupervised domain adaptation
R Moraffah, K Shu, A Raglin, H Liu
arXiv preprint arXiv:1910.12417, 2019
142019
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
112020
Zero-shot llm-guided counterfactual generation for text
A Bhattacharjee, R Moraffah, J Garland, H Liu
arXiv e-prints, arXiv: 2405.04793, 2024
102024
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
102024
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
102023
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
92024
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
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