IEEE Big Data 2024 Tutorials
Tutorial | Title and Presenters |
---|---|
Tutorial 1: |
Title:
Supervised Algorithmic Fairness in Distribution Shifts Presenters: Chen Zhao and Xintao Wu Author Email(s): chen_zhao@baylor.edu, xintaowu@uark.edu Contact Person: Chen Zhao chen_zhao@baylor.edu |
Tutorial 2: |
Title:
Information and Knowledge Discovery on Cryptocurrency: A Security Perspective Presenters: Ling CHENG and Feida Zhu Author Email(s): fdzhu@smu.edu.sg, lingcheng.2020@phdcs.smu.edu.sg Contact Person: Feida Zhu fdzhu@smu.edu.sg |
Tutorial 3: |
Title:
Inferential Machine Learning: Towards Human-collaborative Foundation Models Presenters: Ghassan AlRegib and Mohit Prabhushankar Author Email(s): mohit.p@gatech.edu, alregib@gatech.edu Contact Person: Mohit Prabhushankar mohit.p@gatech.edu |
Tutorial 4: |
Title:
Machine Learning Evaluation: Implementing Responsible and Reliable AI Presenters: Zois Boukouvalas and Nathalie Japkowicz Author Email(s): boukouva@american.edu, japkowicz@american.edu Contact Person: Zois Boukouvalas boukouva@american.edu |
Tutorial 5: |
Title: Knowledge-driven Processes for Big Data Management and Applications Presenters: Hong Yung Yip, Ruwan Wickramarachchi, Repathy Venkataramanan, and Amit Sheth Author Email(s): HYIP@email.sc.edu, ruwan@email.sc.edu, revathy@email.sc.edu, AMIT@sc.edu Contact Person: Hong Yung Yip HYIP@email.sc.edu |
Tutorial 6: |
Title: Neuro-Symbolic AI for Deep Analysis of Social Media Big Data Presenters: Amit Sheth, Vedant Khandelwal, Manas Gaur, Ugur Kursuncu, and Valerie Shalin Author Email(s): amit@sc.edu, vedant@email.sc.edu, manas@umbc.edu, ugur@gsu.edu, valerie.shalin@wright.edu Contact Person: Amit Sheth amit@sc.edu |