A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks. - Arun Zachariah; Praveen Rao 001; Anas Katib; Monica Senapati; Kobus Barnard (ICDE, 2019)

Deepfakes for Histopathology Images: Myth or Reality? - Nouf Alrasheed; Arun Zachariah; Shivika Prasanna; Deepthi S. Rao; Praveen Rao 001 (AIPR, 2020)

QIK: A System for Large-Scale Image Retrieval on Everyday Scenes With Common Objects. - Arun Zachariah; Mohamed Gharibi; Praveen Rao 001 (ICMR, 2020)

A large-scale image retrieval system for everyday scenes. - Arun Zachariah; Mohamed Gharibi; Praveen Rao 001 (MMAsia, 2020)

FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques. - Mohamed Gharibi; Arun Zachariah; Praveen Rao 001 (Frontiers Big Data, 2020)

Corrigendum: FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques. - Mohamed Gharibi; Arun Zachariah; Praveen Rao 001 (Frontiers Big Data, 2020)

Accelerating Variant Calling on Human Genomes Using a Commodity Cluster. - Praveen Rao 001; Arun Zachariah; Deepthi S. Rao; Peter J. Tonellato; Wesley C. Warren; Eduardo J. Simões (CIKM, 2021)

Private-Share: A Secure and Privacy-Preserving De-Centralized Framework for Large Scale Data Sharing. - Arun Zachariah; Maha Alrasheed (MMAsia, 2021)

Variant Analysis of Human Genome Sequences for COVID-19 Research. - Praveen Rao 001; Arun Zachariah; Deepthi S. Rao; Peter J. Tonellato; Wesley C. Warren; Eduardo J. Simões (IEEE DataPort, 2021)

Enabling Large-Scale Human Genome Sequence Analysis on CloudLab. - Praveen Rao 001; Arun Zachariah (INFOCOM Workshops, 2022)

Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design. - Arun Zachariah; Praveen Rao 001; Brian Corn; Dominique Davison (CoRR, 2022)

Video Retrieval for Everyday Scenes With Common Objects. - Arun Zachariah; Praveen Rao 001 (ICMR, 2023)