Ivan Brugere

According to our database, Ivan Brugere authored at least 28 papers between 2011 and 2024.

Collaborative distances:

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

2024

Balancing Fairness and Accuracy in Data-Restricted Binary Classification.

Zachary McBride Lazri, Danial Dervovic, Antigoni Polychroniadou, Ivan Brugere, Dana Dachman-Soled, Min Wu

CoRR, 2024

Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data.

Yvonne Zhou, Mingyu Liang, Ivan Brugere, Dana Dachman-Soled, Danial Dervovic, Antigoni Polychroniadou, Min Wu

CoRR, 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

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, Lukasz Charzewski, Zofia Nawalany, Ivan Brugere, Renata Retkute, Alidivinas Prusokas, Augustinas Prusokas, Yonghwa Choi, Sanghoon Lee, Junseok Choe, Inggeol Lee, Sunkyu Kim, Jaewoo Kang, Sean D. Mooney, Justin Guinney

J. Am. Medical Informatics Assoc., December, 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

A Canonical Data Transformation for Achieving Inter- and Within-group Fairness.

Zachary McBride Lazri, Ivan Brugere, Xin Tian, Dana Dachman-Soled, Antigoni Polychroniadou, Danial Dervovic, Min Wu

CoRR, 2023

Hyper-parameter Tuning for Fair Classification without Sensitive Attribute Access.

Akshaj Kumar Veldanda, Ivan Brugere, Sanghamitra Dutta, Alan Mishler, Siddharth Garg

CoRR, 2023

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions.

Leonidas Tsepenekas, Ivan Brugere, Freddy Lécué, Daniele Magazzeni

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Comparing Apples to Oranges: Learning Similarity Functions for Data Produced by Different Distributions.

Leonidas Tsepenekas, Ivan Brugere

CoRR, 2022

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

2021

Parameterized Explanations for Investor / Company Matching.

Simerjot Kaur, Ivan Brugere, Andrea Stefanucci, Armineh Nourbakhsh, Sameena Shah, Manuela Veloso

CoRR, 2021

GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning.

Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Privacy Shadow: Measuring Node Predictability and Privacy Over Time.

Ivan Brugere, Tanya Y. Berger-Wolf

CoRR, 2020

Inferring Network Structure From Data.

Ivan Brugere, Tanya Y. Berger-Wolf

CoRR, 2020

2018

Modeling and Analysis of Spatiotemporal Social Networks.

Venkata M. V. Gunturi, Ivan Brugere, Shashi Shekhar

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 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

Network Structure Inference, A Survey: Motivations, Methods, and Applications.

Ivan Brugere, Brian Gallagher, Tanya Y. Berger-Wolf

ACM Comput. Surv., 2018

Network Model Selection Using Task-Focused Minimum Description Length.

Ivan Brugere, Tanya Y. Berger-Wolf

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

Evaluating Social Networks Using Task-Focused Network Inference.

Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf

CoRR, 2017

A General Framework For Task-Oriented Network Inference.

Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf

CoRR, 2017

Network Model Selection for Task-Focused Attributed Network Inference.

Ivan Brugere, Chris Kanich, Tanya Y. Berger-Wolf

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

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

2015

Latent Graph Inference and Validation.

Ivan Brugere

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Modeling and Analysis of Spatiotemporal Social Networks.

Ivan Brugere, Venkata M. V. Gunturi, Shashi Shekhar

Encyclopedia of Social Network Analysis and Mining, 2014

2012

Approximate Search on Massive Spatiotemporal Datasets.

Ivan Brugere, Karsten Steinhaeuser, Shyam Boriah, Vipin Kumar

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Gopher: Global observation of Planetary Health and Ecosystem Resources.

Ashish Garg, Varun Mithal, Yashu Chamber, Ivan Brugere, Vijay Chaudhari, Marc Dunham, Vikrant Krishna, Sairam Krishnamurthy, Sruthi Vangala, Shyam Boriah, Michael S. Steinbach, Vipin Kumar, Albert Cho, J. D. Stanley, Teji Abraham, Juan Carlos Castilla-Rubio, Christopher Potter, Steven A. Klooster

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Incorporating Natural Variation into Time Series-Based Land Cover Change Detection.

Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael S. Steinbach, Christopher Potter, Steven A. Klooster

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests.

Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael S. Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011