Pratheeksha Nair

15 papers A* 1C 2Journal 5Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Ask before you Build: Rethinking AI-for-Good in Human Trafficking Interventions.
CoRR
Pratheeksha Nair, Gabriel Lefebvre, Sophia Garrel, Maryam Molamohammadi, Reihaneh Rabbany
2025 J jnl
Weak Supervision for Real World Graphs.
CoRR
Pratheeksha Nair, Reihaneh Rabbany
2024 J jnl
Epistemic Integrity in Large Language Models.
CoRR
Bijean Ghafouri, Shahrad Mohammadzadeh, James Zhou, Pratheeksha Nair, Jacob-Junqi Tian, Mayank Goel, Reihaneh Rabbany, Jean-François Godbout, Kellin Pelrine
2024 A* conf
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking.
AAAI
Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany
2023 — conf
Graph learning with programmatic weak supervision.
Canadian AI
Pratheeksha Nair
2023 — conf
SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking.
EMNLP (Findings)
Javin Liu, Hao Yu, Vidya Sujaya, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany
2023 — conf
Social Media as a Vector for Escort Ads: A Study on OnlyFans advertisements on Twitter.
WebSci
Maricarmen Arenas, Pratheeksha Nair, Reihaneh Rabbany, Golnoosh Farnadi
2023 J jnl
TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking.
IEEE Trans. Vis. Comput. Graph.
Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos
2022 — conf
Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking.
ACL (Findings)
Yifei Li, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany
2022 — conf
VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking.
WWW (Companion Volume)
Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany
2020 — conf
Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model.
BCB
Yue Li, Pratheeksha Nair, Zhi Wen, Imane Chafi, Anya Okhmatovskaia, Guido Powell, Yannan Shen, David L. Buckeridge
2020 J jnl
Group Equivariant Deep Reinforcement Learning.
CoRR
Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi
2020 C conf
Scaling up Simhash.
ACML
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi
2018 C conf
A Faster Sampling Algorithm for Spherical
ACML
Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Tarun Dutt
2018 — conf
A Scalable Clustering Algorithm for Serendipity in Recommender Systems.
ICDM Workshops
Anup Anand Deshmukh, Pratheeksha Nair, Shrisha Rao