Shubhranshu Shekhar

Orcid: 0000-0002-1864-8302

According to our database1, Shubhranshu Shekhar authored at least 12 papers between 2014 and 2023.

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Bibliography

2023
Benefit-aware early prediction of health outcomes on multivariate EEG time series.
J. Biomed. Informatics, March, 2023

UltraProp: Principled and Explainable Propagation on Large Graphs.
CoRR, 2023

Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Unsupervised Machine Learning for Explainable Medicare Fraud Detection.
CoRR, 2022

SlenderGNN: Accurate, Robust, and Interpretable GNN, and the Reasons for its Success.
CoRR, 2022

2021
gen2Out: Detecting and Ranking Generalized Anomalies.
CoRR, 2021

Gen<sup>2</sup>Out: Detecting and Ranking Generalized Anomalies.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

FairOD: Fairness-aware Outlier Detection.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Entity Resolution in Dynamic Heterogeneous Networks.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2018
Incorporating Privileged Information to Unsupervised Anomaly Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

2015
Spreading Activation Way of Knowledge Integration.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2015

2014
Linking Cases Up: An Extension to the Case Retrieval Network.
Proceedings of the Case-Based Reasoning Research and Development, 2014


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