Search Results for author: Debanjan Datta

Found 4 papers, 0 papers with code

Scrutinizing Shipment Records To Thwart Illegal Timber Trade

no code implementations31 Jul 2022 Debanjan Datta, Sathappan Muthiah, John Simeone, Amelia Meadows, Naren Ramakrishnan

The task of finding such fraudulent activities using trade data, in the absence of ground truth, can be modelled as an unsupervised anomaly detection problem.

Contrastive Learning Unsupervised Anomaly Detection

Framing Algorithmic Recourse for Anomaly Detection

no code implementations29 Jun 2022 Debanjan Datta, Feng Chen, Naren Ramakrishnan

We present an approach -- Context preserving Algorithmic Recourse for Anomalies in Tabular data (CARAT), that is effective, scalable, and agnostic to the underlying anomaly detection model.

Anomaly Detection

Detecting Anomalies Through Contrast in Heterogeneous Data

no code implementations2 Apr 2021 Debanjan Datta, Sathappan Muthiah, Naren Ramakrishnan

Among other challenges annotations are unavailable for our large-scale trade data with heterogeneous features (categorical and continuous), that can assist in building automated systems to detect fraudulent transactions.

Contrastive Learning Unsupervised Anomaly Detection

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