Step Integration based Fusion Algorithm for Multimodal Biometrics. - Aayush Sharma (Artificial Intelligence and Pattern Recognition, 2007)

Meta-tag propagation by co-training an ensemble classifier for improving image search relevance. - Aayush Sharma; Gang Hua 001; Zicheng Liu 001; Zhengyou Zhang (CVPR Workshops, 2008)

Actionable Mining of Large, Multi-relational Data Using Localized Predictive Models. - Joydeep Ghosh; Aayush Sharma (IC3K, 2010)

Prediction of New Customer-Product Affinities from Rich Dyadic Data using Localized Models. - Aayush Sharma; Meghana Deodhar; Joydeep Ghosh (ICDM (Workshops), 2011)

Learning multiple models for exploiting predictive heterogeneity in recommender systems. - Clinton Jones; Joydeep Ghosh; Aayush Sharma (HetRec@RecSys, 2011)

Brain-EE: Brain Enjoyment Evaluation using Commercial EEG Headband. - Maher Abujelala; Cheryl Abellanoza; Aayush Sharma; Fillia Makedon (PETRA, 2016)

3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys. - Rahul Singh; Aayush Sharma; Onur Rauf Bingol; Aditya Balu; Ganesh Balasubramanian; Duane D. Johnson; Soumik Sarkar (CoRR, 2018)

Design and Performance Exploration of a Compact Dual-Band Antenna for WBAN-On Body Applications. - Asmita Rajawat; Mohit Mohta; Aayush Sharma; Sindhu Hak Gupta (J. Circuits Syst. Comput., 2021)

Accelerating computational modeling and design of high-entropy alloys. - Rahul Singh; Aayush Sharma; Prashant Singh; Ganesh Balasubramanian; Duane D. Johnson (Nat. Comput. Sci., 2021)

Trans-KBLSTM: An External Knowledge Enhanced Transformer BiLSTM Model for Tabular Reasoning. - Yerram Varun; Aayush Sharma; Vivek Gupta 001 (DeeLIO@ACL, 2022)

Federated Weak Learning for Biocuration. - Aayush Sharma; Swetabh Pathak; Nilanjan Banerjee (AMIA, 2022)

"Money Doesn't Buy You Happiness": Negative Consequences of Using the Freemium Model for Mental Health Apps. - Tessa Eagle; Aman Mehrotra; Aayush Sharma; Alex Zuniga; Steve Whittaker 001 (Proc. ACM Hum. Comput. Interact., 2022)

Maze Solver: A Federated Reinforcement Learning Approach. - Aayush Sharma; Harjeet Kaur; Deepak Prashar (ICCCNT, 2023)

Debugging Dynamic Language Features in a Multi-tier Virtual Machine. - Anmolpreet Singh; Aayush Sharma; Meetesh Kalpesh Mehta; Manas Thakur (VMIL@SPLASH, 2023)