Anomaly Detection via Federated Learning

no code implementations • 12 Oct 2022 • Marc Vucovich, Amogh Tarcar, Penjo Rebelo, Narendra Gade, Ruchi Porwal, Abdul Rahman, Christopher Redino, Kevin Choi, Dhruv Nandakumar, Robert Schiller, Edward Bowen, Alex West, Sanmitra Bhattacharya, Balaji Veeramani

Machine learning has helped advance the field of anomaly detection by incorporating classifiers and autoencoders to decipher between normal and anomalous behavior.

Anomaly Detection Federated Learning +1

Healthcare NER Models Using Language Model Pretraining

no code implementations • 23 Oct 2019 • Amogh Kamat Tarcar, Aashis Tiwari, Vineet Naique Dhaimodker, Penjo Rebelo, Rahul Desai, Dattaraj Rao

Our solution uses a combination of Natural Language Processing (NLP) techniques and a web-based annotation tool to optimize the performance of a custom Named Entity Recognition (NER) [1] model trained on a limited amount of EHR training data.

Language Modelling named-entity-recognition +3