Debanjan Datta

Debanjan Datta was a Ph.D. student in the Department of Computer Science. He was advised by Naren Ramakrishnan.

Datta’s research area is data mining and machine learning. His areas of interest are algorithms on text and numerical data.

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New! Scrutinizing Shipment Records To Thwart Illegal Timber Trade

Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan
In Cornell University, : , 07/2022
Citatations: BibTeX

New! Framing Algorithmic Recourse for Anomaly Detection

Debanjan Datta, Feng Chen, Naren Ramakrishnan
In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (pp 283-293), 08/2022
Citatations: BibTeX

New! TimberSleuth: Visual anomaly detection with human feedback for mitigating the illegal timber trade

Naren Ramakrishnan, Nathan Self, Debanjan Datta
In Sage Journals, 22 3: 223-245, 03/2023
Citatations: BibTeX