Search Results for author: Debarka Sengupta

Found 3 papers, 1 papers with code

Hide and Seek: Outwitting Community Detection Algorithms

1 code implementation22 Feb 2021 Shravika Mittal, Debarka Sengupta, Tanmoy Chakraborty

This leads to the problem of community deception which investigates the avenues of minimally rewiring nodes in a network so that a given target community maximally hides from a community detection algorithm.

Community Detection

Enhash: A Fast Streaming Algorithm For Concept Drift Detection

no code implementations7 Nov 2020 Aashi Jindal, Prashant Gupta, Debarka Sengupta, Jayadeva

We propose Enhash, a fast ensemble learner that detects \textit{concept drift} in a data stream.

Guided Random Forest and its application to data approximation

no code implementations2 Sep 2019 Prashant Gupta, Aashi Jindal, Jayadeva, Debarka Sengupta

We present a new way of constructing an ensemble classifier, named the Guided Random Forest (GRAF) in the sequel.

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