A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. - Yashu Chamber; Ashish Garg 001; Varun Mithal; Ivan Brugere; Vipin Kumar 001; Michael Lau; Michael S. Steinbach; Christopher Potter; Steven A. Klooster; Vikrant Krishna; Shyam Boriah (CIDU, 2011)

Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. - Varun Mithal; Ashish Garg 001; Ivan Brugere; Shyam Boriah; Vipin Kumar 001; Michael S. Steinbach; Christopher Potter; Steven A. Klooster (CIDU, 2011)

Gopher: Global observation of Planetary Health and Ecosystem Resources. - Ashish Garg 001; Varun Mithal; Yashu Chamber; Ivan Brugere; Vijay Chaudhari; Marc Dunham; Vikrant Krishna; Sairam Krishnamurthy; Sruthi Vangala; Shyam Boriah; Michael S. Steinbach; Vipin Kumar 001; et al. (IGARSS, 2011)

Approximate Search on Massive Spatiotemporal Datasets. - Ivan Brugere; Karsten Steinhaeuser; Shyam Boriah; Vipin Kumar 001 (ICDM Workshops, 2012)

Modeling and Analysis of Spatiotemporal Social Networks. - Ivan Brugere; Venkata M. V. Gunturi; Shashi Shekhar 001 (Encyclopedia of Social Network Analysis and Mining, 2014)

Latent Graph Inference and Validation. - Ivan Brugere (ICDM Workshops, 2015)

FLICA: A Framework for Leader Identification in Coordinated Activity. - Chainarong Amornbunchornvej; Ivan Brugere; Ariana Strandburg-Peshkin; Damien Farine; Margaret C. Crofoot; Tanya Y. Berger-Wolf (CoRR, 2016)

Network Model Selection for Task-Focused Attributed Network Inference. - Ivan Brugere; Chris Kanich; Tanya Y. Berger-Wolf (ICDM Workshops, 2017)

A General Framework For Task-Oriented Network Inference. - Ivan Brugere; Chris Kanich; Tanya Y. Berger-Wolf (CoRR, 2017)

Evaluating Social Networks Using Task-Focused Network Inference. - Ivan Brugere; Chris Kanich; Tanya Y. Berger-Wolf (CoRR, 2017)

Network Model Selection Using Task-Focused Minimum Description Length. - Ivan Brugere; Tanya Y. Berger-Wolf (WWW (Companion Volume), 2018)

Network Structure Inference, A Survey: Motivations, Methods, and Applications. - Ivan Brugere; Brian Gallagher; Tanya Y. Berger-Wolf (ACM Comput. Surv., 2018)

Coordination Event Detection and Initiator Identification in Time Series Data. - Chainarong Amornbunchornvej; Ivan Brugere; Ariana Strandburg-Peshkin; Damien Farine; Margaret C. Crofoot; Tanya Y. Berger-Wolf (ACM Trans. Knowl. Discov. Data, 2018)

Modeling and Analysis of Spatiotemporal Social Networks. - Venkata M. V. Gunturi; Ivan Brugere; Shashi Shekhar 001 (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

Inferring Network Structure From Data. - Ivan Brugere; Tanya Y. Berger-Wolf (CoRR, 2020)

Privacy Shadow: Measuring Node Predictability and Privacy Over Time. - Ivan Brugere; Tanya Y. Berger-Wolf (CoRR, 2020)

GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. - Govardana Sachithanandam Ramachandran; Ivan Brugere; Lav R. Varshney; Caiming Xiong (AIES, 2021)

Parameterized Explanations for Investor / Company Matching. - Simerjot Kaur; Ivan Brugere; Andrea Stefanucci; Armineh Nourbakhsh; Sameena Shah; Manuela Veloso (CoRR, 2021)

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale. - Akshaj Kumar Veldanda; Ivan Brugere; Jiahao Chen; Sanghamitra Dutta; Alan Mishler; Siddharth Garg (CoRR, 2022)

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions. - Leonidas Tsepenekas; Ivan Brugere (CoRR, 2022)

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions. - Leonidas Tsepenekas; Ivan Brugere; Freddy Lécué; Daniele Magazzeni (NeurIPS, 2023)

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale with MinDiff Loss. - Akshaj Kumar Veldanda; Ivan Brugere; Jiahao Chen; Sanghamitra Dutta; Alan Mishler; Siddharth Garg (Trans. Mach. Learn. Res., 2023)

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine. - Timothy Bergquist; Thomas Schaffter; Yao Yan; Thomas Yu; Justin Prosser; Jifan Gao; Guanhua Chen 002; Lukasz Charzewski; Zofia Nawalany; Ivan Brugere; Renata Retkute; Alidivinas Prusokas; et al. (J. Am. Medical Informatics Assoc., 2023)

Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. - Yvonne Zhou; Mingyu Liang; Ivan Brugere; Danial Dervovic; Antigoni Polychroniadou; Min Wu 001; Dana Dachman-Soled (ICML, 2024)

RashomonGB: Analyzing the Rashomon Effect and Mitigating Predictive Multiplicity in Gradient Boosting. - Hsiang Hsu; Ivan Brugere; Shubham Sharma; Freddy Lécué; Richard Chen (NeurIPS, 2024)

The Influence of Biomedical Research on Future Business Funding: Analyzing Scientific Impact and Content in Industrial Investments. - Reza Khanmohammadi; Simerjot Kaur; Charese H. Smiley; Tuka Alhanai; Ivan Brugere; Armineh Nourbakhsh; Mohammad M. Ghassemi (CoRR, 2024)

Balancing Fairness and Accuracy in Data-Restricted Binary Classification. - Zachary McBride Lazri; Danial Dervovic; Antigoni Polychroniadou; Ivan Brugere; Dana Dachman-Soled; Min Wu 001 (CoRR, 2024)

Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models. - Wenzhuo Tang; Haitao Mao; Danial Dervovic; Ivan Brugere; Saumitra Mishra; Yuying Xie 001; Jiliang Tang (CoRR, 2024)

A Canonical Data Transformation for Achieving Inter- and Within-Group Fairness. - Zachary McBride Lazri; Ivan Brugere; Xin Tian 018; Dana Dachman-Soled; Antigoni Polychroniadou; Danial Dervovic; Min Wu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access. - Akshaj Kumar Veldanda; Ivan Brugere; Sanghamitra Dutta; Alan Mishler; Siddharth Garg (Trans. Mach. Learn. Res., 2024)

BuDDIE: A Business Document Dataset for Multi-task Information Extraction. - Dongsheng Wang 005; Ran Zmigrod; Mathieu Sibue; Yulong Pei; Petr Babkin; Ivan Brugere; Xiaomo Liu; Nacho Navarro; Antony Papadimitriou; William Watson; Zhiqiang Ma; Armineh Nourbakhsh; et al. (COLING Workshops, 2025)

Interpretable LLM-based Table Question Answering. - Giang Nguyen 004; Ivan Brugere; Shubham Sharma; Sanjay Kariyappa; Anh Totti Nguyen; Freddy Lécué (Trans. Mach. Learn. Res., 2025)

MAFE: Multi-Agent Fair Environments for Decision-Making Systems. - Zachary McBride Lazri; Anirudh Nakra; Ivan Brugere; Danial Dervovic; Antigoni Polychroniadou; Furong Huang; Dana Dachman-Soled; Min Wu 001 (CoRR, 2025)

Calibrating LLM Confidence by Probing Perturbed Representation Stability. - Reza Khanmohammadi; Erfan Miahi; Mehrsa Mardikoraem; Simerjot Kaur; Ivan Brugere; Charese H. Smiley; Kundan Thind; Mohammad M. Ghassemi (CoRR, 2025)