Dhivya Eswaran

According to our database, Dhivya Eswaran authored at least 17 papers between 2015 and 2023.

Collaborative distances:

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

2023

Benefit-aware early prediction of health outcomes on multivariate EEG time series.

Shubhranshu Shekhar, Dhivya Eswaran, Bryan Hooi, Jonathan Elmer, Christos Faloutsos, Leman Akoglu

J. Biomed. Informatics, March, 2023

2022

On the Value of Behavioral Representations for Dense Retrieval.

Nan Jiang, Dhivya Eswaran, Choon Hui Teo, Yexiang Xue, Yesh Dattatreya, Sujay Sanghavi, Vishy Vishwanathan

CoRR, 2022

2020

Higher-Order Label Homogeneity and Spreading in Graphs.

Dhivya Eswaran, Srijan Kumar, Christos Faloutsos

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Intervention-Aware Early Warning.

Dhivya Eswaran, Christos Faloutsos, Nina Mishra, Yonatan Naamad

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid.

Bryan Hooi, Dhivya Eswaran, Hyun Ah Song, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Beyond Outlier Detection: LookOut for Pictorial Explanation.

Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Social-Affiliation Networks: Patterns and the SOAR Model.

Dhivya Eswaran, Reihaneh Rabbany, Artur W. Dubrawski, Christos Faloutsos

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

SpotLight: Detecting Anomalies in Streaming Graphs.

Dhivya Eswaran, Christos Faloutsos, Sudipto Guha, Nina Mishra

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

SedanSpot: Detecting Anomalies in Edge Streams.

Dhivya Eswaran, Christos Faloutsos

Proceedings of the IEEE International Conference on Data Mining, 2018

ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph.

Bryan Hooi, Leman Akoglu, Dhivya Eswaran, Amritanshu Pandey, Marko Jereminov, Larry T. Pileggi, Christos Faloutsos

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

ZooBP: Belief Propagation for Heterogeneous Networks.

Dhivya Eswaran, Stephan Günnemann, Christos Faloutsos, Disha Makhija, Mohit Kumar

Proc. VLDB Endow., 2017

LookOut on Time-Evolving Graphs: Succinctly Explaining Anomalies from Any Detector.

Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos

CoRR, 2017

The Power of Certainty: A Dirichlet-Multinomial Model for Belief Propagation.

Dhivya Eswaran, Stephan Günnemann, Christos Faloutsos

Proceedings of the 2017 SIAM International Conference on Data Mining, 2017

Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe).

Reihaneh Rabbany, Dhivya Eswaran, Artur W. Dubrawski, Christos Faloutsos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Why You Should Charge Your Friends for Borrowing Your Stuff.

Kijung Shin, Euiwoong Lee, Dhivya Eswaran, Ariel D. Procaccia

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015

Modeling Website Topic Cohesion at Scale to Improve Webpage Classification.

Dhivya Eswaran, Paul N. Bennett, Joseph J. Pfeiffer III

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Towards Creating Pedagogic Views from Encyclopedic Resources.

Ditty Mathew, Dhivya Eswaran, Sutanu Chakraborti

Proceedings of the Tenth Workshop on Innovative Use of NLP for Building Educational Applications, 2015