Improving Hyperparameter Optimization with Checkpointed Model Weights
Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, and Arun George Zachariah - "Improving Hyperparameter Optimization with Checkpointed Model Weights." arXiv preprint arXiv:2407.01526, 2024.
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EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial Networks
Shijia Liao, Shiyi Lan, and Arun George Zachariah - "EVA-GAN: Enhanced Various Audio Generation via Scalable Generative Adversarial Networks." arXiv preprint arXiv:2402.00892, 2024.
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Video Retrieval for Everyday Scenes With Common Objects
Arun Zachariah, and Praveen Rao - "Video Retrieval for Everyday Scenes with Common Objects." Annual ACM International Conference on Multimedia Retrieval (ICMR 2023), Greece, 2023.
Enabling Large-Scale Human Genome Sequence Analysis on CloudLab
Praveen Rao, Arun Zachariah – "Enabling Large-Scale Human Genome Sequence Analysis on CloudLab." In the 9th International Workshop on Computer and Networking Experimental Research using Testbeds (Collocated with IEEE INFOCOM), 2022.
Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design
Arun Zachariah, Praveen Rao, Brian Corn, and Dominique Davison - "Zero Shot Learning for Predicting Energy Usage of Buildings in Sustainable Design." AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), Canada, 2022.
Private-Share: A Secure and Privacy-Preserving De- Centralized Framework for Large Scale Data Sharing
Arun Zachariah and Maha Alrasheed - "Private-Share: A Secure and Privacy-Preserving De- Centralized Framework for Large Scale Data Sharing." 3rd ACM International Conference on Multimedia in Asia (ACM MM Asia 2021), Australia, 2021.
Accelerating Variant Calling on Human Genomes Using a Commodity Cluster
Praveen Rao, Arun Zachariah, Deepthi Rao, Peter Tonellato, Wesley Warren and Eduardo Simoes - "Accelerating Variant Calling on Human Genomes Using a Commodity Cluster." 30th ACM International Conference on Information and Knowledge Management (CIKM), Australia, 2021.
A Large-Scale Image Retrieval System for Everyday Scenes
Arun Zachariah, Mohamed Gharibi, Praveen Rao - "A Large-Scale Image Retrieval System for Everyday Scenes." 2nd ACM International Conference on Multimedia in Asia (MM Asia 2020), Singapore.
Evaluation of Internet-based Crowdsourced Fundraising to Cover Healthcare Costs in the United States
Suveen Angraal, Arun Zachariah, Raaisa Raaisa, Rohan Khera, Praveen Rao, Harlan M Krumholz, and John A Spertus - "Evaluation of Internet-based Crowdsourced Fundraising to Cover Healthcare Costs in the United States." JAMA Network Open,2021.
Deepfakes for Histopathology Images: Myth or Reality?
Nouf Alrasheed, Arun Zachariah, Shivika Prasanna, Deepthi Rao, and Praveen Rao - "Deepfakes for Histopathology Images: Myth or Reality?" 49th Annual IEEE Applied Imagery Pattern Recognition (AIPR) Workshop 2020: Trusted Computing, Privacy, and Securing Multimedia, Washington, D.C., 2020.
A System for Large-Scale Image Retrieval on Everyday Scenes With Common Objects
Arun Zachariah, Mohamed Gharibi, Praveen Rao - "QIK: A System for Large-Scale Image Retrieval on Everyday Scenes With Common Objects." Annual ACM International Conference on Multimedia Retrieval (ICMR 2020), Dublin, Ireland.
FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques
Mohamed Gharibi, Arun Zachariah, Praveen Rao - "FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques." Frontiers in Big Data., Volume 3, 2020.
Large-Scale Storage of Whole Slide Images and Fast Retrieval of Tiles Using DRAM
Daniel E. Lopez Barron, Praveen Rao, Deepthi Rao, Ossama Tawfik, Arun Zachariah - "Large-Scale Storage of Whole Slide Images and Fast Retrieval of Tiles Using DRAM." 2020 SPIE Defense + Commercial Sensing: Big Data II: Learning, Analytics, and Applications Conference, Anaheim, CA.
A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks
Arun Zachariah, Praveen Rao, Anas Katib, Monica Senapati, Kobus Barnard - "A Gossip-Based System for Fast Approximate Score Computation in Multinomial Bayesian Networks." 35th IEEE International Conference on Data Engineering (ICDE)., Macau, China, 2019.