Pratheeksha Nair

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Weakly Supervised

Top Venues

Publications

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)
Pratheeksha Nair
Graph learning with programmatic weak supervision. Canadian AI (2023)
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)
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)
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) (2023)
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)
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)
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi
Scaling up Simhash. ACML (2020)
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)
Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi
Group Equivariant Deep Reinforcement Learning. CoRR (2020)
Anup Anand Deshmukh, Pratheeksha Nair, Shrisha Rao
A Scalable Clustering Algorithm for Serendipity in Recommender Systems. ICDM Workshops (2018)
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Tarun Dutt
A Faster Sampling Algorithm for Spherical $k$-means. ACML (2018)