Namrata Banerji

According to our database, Namrata Banerji authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

DynaSTy: A Framework for SpatioTemporal Node Attribute Prediction in Dynamic Graphs.

Namrata Banerji, Tanya Y. Berger-Wolf

CoRR, January, 2026

2025

kabr-tools: Automated Framework for Multi-Species Behavioral Monitoring.

Jenna Kline, Maksim Kholiavchenko, Samuel Stevens, Nina Van Tiel, Alison Zhong, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Isla Duporge, Matthew J. Thompson, Elizabeth G. Campolongo, Jackson Miliko, Neil Rosser, Tanya Y. Berger-Wolf, Charles V. Stewart, Daniel I. Rubenstein

CoRR, October, 2025

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video.

Maksim Kholiavchenko, Jenna Kline, Maksim Kukushkin, Otto Brookes, Sam Stevens, Isla Duporge, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew J. Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Majid Mirmehdi, Thomas Schmid, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Tilo Burghardt, Charles V. Stewart

Multim. Tools Appl., June, 2025

Building Machine Learning Challenges for Anomaly Detection in Science.

Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier M. Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, JangHyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem

CoRR, March, 2025

2024

KABR: In-Situ Dataset for Kenyan Animal Behavior Recognition from Drone Videos.

Maksim Kholiavchenko, Jenna Kline, Michelle Ramirez, Sam Stevens, Alec Sheets, Reshma Ramesh Babu, Namrata Banerji, Elizabeth G. Campolongo, Matthew J. Thompson, Nina Van Tiel, Jackson Miliko, Eduardo Bessa, Isla Duporge, Tanya Y. Berger-Wolf, Daniel I. Rubenstein, Charles V. Stewart

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2023

A Framework for Autonomic Computing for In Situ Imageomics.

Jenna Kline, Christopher Stewart, Tanya Y. Berger-Wolf, Michelle Ramirez, Samuel Stevens, Reshma Ramesh Babu, Namrata Banerji, Alec Sheets, Sowbaranika Balasubramaniam, Elizabeth G. Campolongo, Matthew J. Thompson, Charles V. Stewart, Maksim Kholiavchenko, Daniel I. Rubenstein, Nina Van Tiel, Jackson Miliko

Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2023