Ivan Brugere

According to our database1, Ivan Brugere authored at least 17 papers between 2011 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Privacy Shadow: Measuring Node Predictability and Privacy Over Time.
CoRR, 2020

Inferring Network Structure From Data.
CoRR, 2020

2018
Modeling and Analysis of Spatiotemporal Social Networks.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Coordination Event Detection and Initiator Identification in Time Series Data.
ACM Trans. Knowl. Discov. Data, 2018

Network Structure Inference, A Survey: Motivations, Methods, and Applications.
ACM Comput. Surv., 2018

Network Model Selection Using Task-Focused Minimum Description Length.
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.
CoRR, 2017

A General Framework For Task-Oriented Network Inference.
CoRR, 2017

Network Model Selection for Task-Focused Attributed Network Inference.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016
FLICA: A Framework for Leader Identification in Coordinated Activity.
CoRR, 2016

2015
Latent Graph Inference and Validation.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Modeling and Analysis of Spatiotemporal Social Networks.
Encyclopedia of Social Network Analysis and Mining, 2014

2012
Approximate Search on Massive Spatiotemporal Datasets.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Gopher: Global observation of Planetary Health and Ecosystem Resources.
Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011

Incorporating Natural Variation into Time Series-Based Land Cover Change Detection.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011

A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests.
Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011


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