VIOLA: Video Labeling Application for Security Domains. - Elizabeth Bondi; Fei Fang 001; Debarun Kar; Venil Loyd Noronha; Donnabell Dmello; Milind Tambe; Arvind Iyer; Robert Hannaford (GameSec, 2017)

Video Labeling for Automatic Video Surveillance in Security Domains. - Elizabeth Bondi; Debarun Kar; Venil Loyd Noronha; Donnabell Dmello; Milind Tambe; Fei Fang 001; Arvind Iyer; Robert Hannaford (CoRR, 2017)

SPOT Poachers in Action: Augmenting Conservation Drones With Automatic Detection in Near Real Time. - Elizabeth Bondi; Fei Fang 001; Mark Hamilton; Debarun Kar; Donnabell Dmello; Jongmoo Choi; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe; Ram Nevatia (AAAI, 2018)

AirSim-W: A Simulation Environment for Wildlife Conservation with UAVs. - Elizabeth Bondi; Debadeepta Dey; Ashish Kapoor; Jim Piavis; Shital Shah; Fei Fang 001; Bistra Dilkina; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (COMPASS, 2018)

AI for Conservation: Aerial Monitoring to Learn and Plan against Illegal Actors. - Elizabeth Bondi (IJCAI, 2018)

Near Real-Time Detection of Poachers from Drones in AirSim. - Elizabeth Bondi; Ashish Kapoor; Debadeepta Dey; James Piavis; Shital Shah; Robert Hannaford; Arvind Iyer; Lucas Joppa; Milind Tambe (IJCAI, 2018)

Bridging the Gap Between High-Level Reasoning in Strategic Agent Coordination and Low-Level Agent Development. - Elizabeth Bondi (AAMAS, 2019)

Broken Signals in Security Games: Coordinating Patrollers and Sensors in the Real World. - Elizabeth Bondi; Hoon Oh; Haifeng Xu; Fei Fang 001; Bistra Dilkina; Milind Tambe (AAMAS, 2019)

Using Game Theory in Real Time in the Real World: A Conservation Case Study. - Elizabeth Bondi; Hoon Oh; Haifeng Xu; Fei Fang 001; Bistra Dilkina; Milind Tambe (AAMAS, 2019)

Visionary Security: Using Uncertain Real-Time Information in Signaling Games. - Elizabeth Bondi (IJCAI, 2019)

Learning to Signal in the Goldilocks Zone: Improving Adversary Compliance in Security Games. - Sarah Cooney; Kai Wang 040; Elizabeth Bondi; Thanh Hong Nguyen; Phebe Vayanos; Hailey Winetrobe; Edward A. Cranford; Cleotilde Gonzalez; Christian Lebiere; Milind Tambe (ECML/PKDD (1), 2019)

To Signal or Not To Signal: Exploiting Uncertain Real-Time Information in Signaling Games for Security and Sustainability. - Elizabeth Bondi; Hoon Oh; Haifeng Xu; Fei Fang 001; Bistra Dilkina; Milind Tambe (AAAI, 2020)

Vision for Decisions: Utilizing Uncertain Real-Time Information and Signaling for Conservation. - Elizabeth Bondi (AAMAS, 2020)

BIRDSAI: A Dataset for Detection and Tracking in Aerial Thermal Infrared Videos. - Elizabeth Bondi; Raghav Jain; Palash Aggrawal; Saket Anand; Robert Hannaford; Ashish Kapoor; Jim Piavis; Shital Shah; Lucas Joppa; Bistra Dilkina; Milind Tambe (WACV, 2020)

Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. - Lily Xu; Elizabeth Bondi; Fei Fang 001; Andrew Perrault; Kai Wang 040; Milind Tambe (AAAI, 2021)

Envisioning Communities: A Participatory Approach Towards AI for Social Good. - Elizabeth Bondi; Lily Xu; Diana Acosta-Navas; Jackson A. Killian (AIES, 2021)

Reinforcement Learning for Unified Allocation and Patrolling in Signaling Games with Uncertainty. - Aravind Venugopal; Elizabeth Bondi; Harshavardhan Kamarthi; Keval Dholakia; Balaraman Ravindran; Milind Tambe (AAMAS, 2021)

Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. - Snehalkumar (Neil) S. Gaikwad; Shankar Iyer; Dalton D. Lunga; Elizabeth Bondi (KDD, 2021)

Can poachers find animals from public camera trap images? - Sara Beery; Elizabeth Bondi (CoRR, 2021)

Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. - Snehalkumar (Neil) S. Gaikwad; Shankar Iyer; Dalton D. Lunga; Elizabeth Bondi (CoRR, 2021)

Micronutrient Deficiency Prediction via Publicly Available Satellite Data. - Elizabeth Bondi; Haipeng Chen 001; Christopher D. Golden; Nikhil Behari; Milind Tambe (AAAI, 2022)

Role of Human-AI Interaction in Selective Prediction. - Elizabeth Bondi; Raphael Koster; Hannah Sheahan; Martin J. Chadwick; Yoram Bachrach; A. Taylan Cemgil; Ulrich Paquet; Krishnamurthy Dvijotham (AAAI, 2022)

Evolutionary Approach to Security Games with Signaling. - Adam Zychowski; Jacek Mandziuk; Elizabeth Bondi; Aravind Venugopal; Milind Tambe; Balaraman Ravindran (IJCAI, 2022)

Taking Off with AI: Lessons from Aviation for Healthcare. - Elizabeth Bondi-Kelly; Thomas Hartvigsen; Lindsay M. Sanneman; Swami Sankaranarayanan; Zach Harned; Grace Wickerson; Judy Wawira Gichoya; Lauren Oakden-Rayner; Leo Anthony Celi; Matthew P. Lungren; Julie A. Shah; Marzyeh Ghassemi (EAAMO, 2023)

Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats. - Lucia Gordon; Nikhil Behari; Samuel Collier; Elizabeth Bondi-Kelly; Jackson A. Killian; Catherine Ressijac; Peter Boucher; Andrew Davies; Milind Tambe (IJCAI, 2023)

Reflections from the Workshop on AI-Assisted Decision Making for Conservation. - Lily Xu; Esther Rolf; Sara Beery; Joseph R. Bennett; Tanya Y. Berger-Wolf; Tanya Birch; Elizabeth Bondi-Kelly; Justin Brashares; Melissa S. Chapman; Anthony Corso 001; Andrew Davies; Nikhil Garg; et al. (CoRR, 2023)

Predicting micronutrient deficiency with publicly available satellite data. - Elizabeth Bondi-Kelly; Haipeng Chen 001; Christopher D. Golden; Nikhil Behari; Milind Tambe (AI Mag., 2023)

Are They the Same Picture? Adapting Concept Bottleneck Models for Human-AI Collaboration in Image Retrieval. - Vaibhav Balloli; Sara Beery; Elizabeth Bondi-Kelly (IJCAI, 2024)

Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study. - Niklas Mannhardt; Elizabeth Bondi-Kelly; Barbara D. Lam; Chloe O'Connell; Mercy Asiedu; Hussein Mozannar; Monica Agrawal; Alejandro Buendia; Tatiana Urman; Irbaz B. Riaz; Catherine E. Ricciardi; Marzyeh Ghassemi; et al. (CoRR, 2024)

Realizing AI for Impact: Towards Participatory Human-AI Collaboration for Water Conservation and Reproductive Health. - Elizabeth Bondi-Kelly (AAAI, 2025)

FOCUS on Contamination: A Geospatial Deep Learning Framework with a Noise-Aware Loss for Surface Water PFAS Prediction. - Jowaria Khan; Alexa Friedman; Sydney Evans; Runzi Wang; Kaley Beins; David Andrews; Elizabeth Bondi-Kelly (CoRR, 2025)

Evaluation Framework for AI Systems in "the Wild". - Sarah Jabbour; Trenton Chang; Anindya Das Antar; Joseph Peper; Insu Jang; Jiachen Liu; Jae-Won Chung; Shiqi He; Michael P. Wellman; Bryan Goodman; Elizabeth Bondi-Kelly; Kevin Samy; et al. (CoRR, 2025)