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2020 – today
- 2024
[j4]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): 14 (2024)- [c14]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: 738-750 - [c13]Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu:
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. WSDM 2024: 626-635 - [i20]Raha Moraffah, Paras Sheth, Saketh Vishnubhatla, Huan Liu:
Causal Feature Selection for Responsible Machine Learning. CoRR abs/2402.02696 (2024) - [i19]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 abs/2403.01152 (2024) - [i18]Ayushi Nirmal, Amrita Bhattacharjee, Paras Sheth, Huan Liu:
Towards Interpretable Hate Speech Detection using Large Language Model-extracted Rationales. CoRR abs/2403.12403 (2024) - [i17]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement. CoRR abs/2404.11036 (2024) - [i16]Ahmet Kapkiç, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Selçuk Candan:
Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. CoRR abs/2409.08419 (2024) - 2023
- [j3]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): 94:1-94:18 (2023) - [c12]Faisal Alatawi, Paras Sheth, Huan Liu:
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. ASONAM 2023: 38-45 - [c11]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: 4815-4821 - [c10]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: 1337-1349 - [c9]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: 1430-1437 - [c8]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
PEACE: Cross-Platform Hate Speech Detection - A Causality-Guided Framework. ECML/PKDD (1) 2023: 559-575 - [i15]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 abs/2305.09196 (2023) - [i14]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
PEACE: Cross-Platform Hate Speech Detection- A Causality-guided Framework. CoRR abs/2306.08804 (2023) - [i13]Faisal Alatawi, Paras Sheth, Huan Liu:
Quantifying the Echo Chamber Effect: An Embedding Distance-based Approach. CoRR abs/2307.04668 (2023) - [i12]Suraj Jyothi Unni, Paras Sheth, Kaize Ding, Huan Liu, K. Selçuk Candan:
UPREVE: An End-to-End Causal Discovery Benchmarking System. CoRR abs/2307.13757 (2023) - [i11]Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu:
Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. CoRR abs/2308.02011 (2023) - [i10]Paras Sheth, Tharindu Kumarage, Raha Moraffah, Aman Chadha, Huan Liu:
Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. CoRR abs/2308.02080 (2023) - [i9]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 abs/2310.05095 (2023) - 2022
- [j2]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): 924-943 (2022) - [c7]Raha Moraffah, Paras Sheth, Huan Liu:
Exploring the Target Distribution for Surrogate-Based Black-Box Attacks. IEEE Big Data 2022: 1310-1315 - [c6]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. IEEE Big Data 2022: 5568-5577 - [c5]Paras Sheth, Reepal Shah, John Sabo, K. Selçuk Candan, Huan Liu:
STCD: A Spatio-Temporal Causal Discovery Framework for Hydrological Systems. IEEE Big Data 2022: 5578-5583 - [c4]Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Selçuk Candan, Huan Liu:
Causal Disentanglement with Network Information for Debiased Recommendations. SISAP 2022: 265-273 - [i8]Lu Cheng, Ruocheng Guo, Raha Moraffah, Paras Sheth, K. Selçuk Candan, Huan Liu:
Evaluation Methods and Measures for Causal Learning Algorithms. CoRR abs/2202.02896 (2022) - [i7]Paras Sheth, Ruocheng Guo, Lu Cheng, Huan Liu, K. Selçuk Candan:
Causal Disentanglement with Network Information for Debiased Recommendations. CoRR abs/2204.07221 (2022) - [i6]Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu:
CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research. CoRR abs/2207.01505 (2022) - [i5]Mansooreh Karami, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Estimating Topic Exposure for Under-Represented Users on Social Media. CoRR abs/2208.03796 (2022) - [i4]Anique Tahir, Lu Cheng, Paras Sheth, Huan Liu:
Improving Vaccine Stance Detection by Combining Online and Offline Data. CoRR abs/2208.04491 (2022) - [i3]Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
Domain Generalization - A Causal Perspective. CoRR abs/2209.15177 (2022) - 2021
- [j1]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): 3041-3085 (2021) - [c3]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: 4789-4793 - [c2]Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Causal Learning for Socially Responsible AI. IJCAI 2021: 4374-4381 - [i2]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 abs/2102.05829 (2021) - [i1]Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu:
Causal Learning for Socially Responsible AI. CoRR abs/2104.12278 (2021)
2010 – 2019
- 2017
- [c1]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: 284-296
Coauthor Index
aka: Kasim Selçuk Candan
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