Pratheeksha Nair

According to our database, Pratheeksha Nair authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking.

Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

TrafficVis: Visualizing Organized Activity and Spatio-Temporal Patterns for Detecting and Labeling Human Trafficking.

Catalina Vajiac, Duen Horng Chau, Andreas M. Olligschlaeger, Rebecca Mackenzie, Pratheeksha Nair, Meng-Chieh Lee, Yifei Li, Namyong Park, Reihaneh Rabbany, Christos Faloutsos

IEEE Trans. Vis. Comput. Graph., 2023

Social Media as a Vector for Escort Ads: A Study on OnlyFans advertisements on Twitter.

Maricarmen Arenas, Pratheeksha Nair, Reihaneh Rabbany, Golnoosh Farnadi

Proceedings of the 15th ACM Web Science Conference 2023, 2023

SWEET - Weakly Supervised Person Name Extraction for Fighting Human Trafficking.

Javin Liu, Hao Yu, Vidya Sujaya, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Graph learning with programmatic weak supervision.

Pratheeksha Nair

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

VisPaD: Visualization and Pattern Discovery for Fighting Human Trafficking.

Pratheeksha Nair, Yifei Li, Catalina Vajiac, Andreas M. Olligschlaeger, Meng-Chieh Lee, Namyong Park, Duen Horng Chau, Christos Faloutsos, Reihaneh Rabbany

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Extracting Person Names from User Generated Text: Named-Entity Recognition for Combating Human Trafficking.

Yifei Li, Pratheeksha Nair, Kellin Pelrine, Reihaneh Rabbany

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020

Group Equivariant Deep Reinforcement Learning.

Arnab Kumar Mondal, Pratheeksha Nair, Kaleem Siddiqi

CoRR, 2020

Global Surveillance of COVID-19 by mining news media using a multi-source dynamic embedded topic model.

Yue Li, Pratheeksha Nair, Zhi Wen, Imane Chafi, Anya Okhmatovskaia, Guido Powell, Yannan Shen, David L. Buckeridge

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

Scaling up Simhash.

Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Anirudh Ravi

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2018

A Scalable Clustering Algorithm for Serendipity in Recommender Systems.

Anup Anand Deshmukh, Pratheeksha Nair, Shrisha Rao

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

A Faster Sampling Algorithm for Spherical $k$-means.

Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Tarun Dutt

Proceedings of The 10th Asian Conference on Machine Learning, 2018