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Pratheeksha Nair
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2020 – today
- 2024
- [c10]Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany:
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. AAAI 2024: 22276-22284 - [i2]Bijean Ghafouri, Shahrad Mohammadzadeh, James Zhou, Pratheeksha Nair, Jacob-Junqi Tian, Mayank Goel, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine:
Epistemic Integrity in Large Language Models. CoRR abs/2411.06528 (2024) - 2023
- [j1]Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos:
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking. IEEE Trans. Vis. Comput. Graph. 29(1): 53-62 (2023) - [c9]Pratheeksha Nair:
Graph learning with programmatic weak supervision. Canadian AI 2023 - [c8]Javin Liu, Hao Yu, Vidya Sujaya, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany:
SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking. EMNLP (Findings) 2023: 3355-3367 - [c7]Maricarmen Arenas, Pratheeksha Nair, Reihaneh Rabbany, Golnoosh Farnadi:
Social Media as a Vector for Escort Ads: A Study on OnlyFans advertisements on Twitter. WebSci 2023: 260-270 - 2022
- [c6]Yifei Li, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany:
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking. ACL (Findings) 2022: 2854-2868 - [c5]Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany:
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking. WWW (Companion Volume) 2022: 273-277 - 2020
- [c4]Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi:
Scaling up Simhash. ACML 2020: 705-720 - [c3]Yue Li, Pratheeksha Nair, Zhi Wen, Imane Chafi, Anya Okhmatovskaia, Guido Powell, Yannan Shen, David L. Buckeridge:
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model. BCB 2020: 34:1-34:14 - [i1]Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi:
Group Equivariant Deep Reinforcement Learning. CoRR abs/2007.03437 (2020)
2010 – 2019
- 2018
- [c2]Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Tarun Dutt:
A Faster Sampling Algorithm for Spherical k-means. ACML 2018: 343-358 - [c1]Anup Anand Deshmukh, Pratheeksha Nair, Shrisha Rao:
A Scalable Clustering Algorithm for Serendipity in Recommender Systems. ICDM Workshops 2018: 1279-1288
Coauthor Index
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