A Novel Approach for Classification of Normal/Abnormal Phonocardiogram Recordings using Temporal Signal Analysis and Machine Learning. - Sachin Vernekar; Saurabh Nair; Deepu Vijayasenan; Rohit Ranjan (CinC, 2016)

A Novel Approach for Robust Detection of Heart Beats in Multimodal Data using Neural Networks and Boosted Trees. - Sachin Vernekar; Deepu Vijayasenan; Rohit Ranjan (CinC, 2016)

Calibrating Uncertainties in Object Localization Task. - Buu Phan; Rick Salay; Krzysztof Czarnecki 001; Vahdat Abdelzad; Taylor Denouden; Sachin Vernekar (CoRR, 2018)

Improving Reconstruction Autoencoder Out-of-distribution Detection with Mahalanobis Distance. - Taylor Denouden; Rick Salay; Krzysztof Czarnecki 001; Vahdat Abdelzad; Buu Phan; Sachin Vernekar (CoRR, 2018)

Analysis of Confident-Classifiers for Out-of-distribution Detection. - Sachin Vernekar; Ashish Gaurav; Taylor Denouden; Buu Phan; Vahdat Abdelzad; Rick Salay; Krzysztof Czarnecki 001 (CoRR, 2019)

Out-of-distribution Detection in Classifiers via Generation. - Sachin Vernekar; Ashish Gaurav; Vahdat Abdelzad; Taylor Denouden; Rick Salay; Krzysztof Czarnecki 001 (CoRR, 2019)

Detecting Out-of-Distribution Inputs in Deep Neural Networks Using an Early-Layer Output. - Vahdat Abdelzad; Krzysztof Czarnecki 001; Rick Salay; Taylor Denouden; Sachin Vernekar; Buu Phan (CoRR, 2019)

Simple Continual Learning Strategies for Safer Classifers. - Ashish Gaurav; Sachin Vernekar; Jaeyoung Lee 003; Vahdat Abdelzad; Krzysztof Czarnecki 001; Sean Sedwards (SafeAI@AAAI, 2020)

Scaling Use-case Based Shopping using LLMs. - Sachin Farfade; Sachin Vernekar; Vineet Chaoji; Rajdeep Mukherjee (WSDM, 2024)