Learning Cost-Sensitive Rules for Non-forced Classification. - Arjun Bakshi; Raj Bhatnagar (ICDM Workshops, 2012)

A Biclustering Algorithm to Discover Functional Modules from ENCODE ChIP-Seq Data. - Chao Wu; Arjun Bakshi; Bruce J. Aronow; Anil G. Jegga; Raj Bhatnagar (ICDM Workshops, 2013)

Semi-Supervised Community Detection Using Structure and Size. - Arjun Bakshi; Srinivasan Parthasarathy 001; Kannan Srinivasan 001 (ICDM, 2018)

CoReCast: Collision Resilient Broadcasting in Vehicular Networks. - Tanmoy Das; Lu Chen 010; Rupam Kundu; Arjun Bakshi; Prasun Sinha; Kannan Srinivasan 001; Gaurav Bansal; Takayuki Shimizu (MobiSys, 2018)

Fast and Efficient Cross Band Channel Prediction Using Machine Learning. - Arjun Bakshi; Yifan Mao; Kannan Srinivasan 001; Srinivasan Parthasarathy 001 (MobiCom, 2019)

EMIT: An Efficient MAC Paradigm for the Internet of Things. - Arjun Bakshi; Lu Chen 010; Kannan Srinivasan 001; C. Emre Koksal; Atilla Eryilmaz (IEEE/ACM Trans. Netw., 2019)

Embracing collisions: enabling parallel channel estimation with COTS passive backscatter tags. - Jiaqi Xu; Wei Sun 013; Arjun Bakshi; Kannan Srinivasan 001 (LIOT@MOBICOM, 2020)

Learning-Based Radio Fingerprinting for RFID Secure Authentication Scheme. - Jiaqi Xu; Xingya Zhao; Arjun Bakshi; Kannan Srinivasan 001 (CNS, 2022)

Robust Nonparametric Distribution Forecast with Backtest-Based Bootstrap and Adaptive Residual Selection. - Longshaokan Wang; Lingda Wang; Mina Georgieva; Paulo Machado; Abinaya Ulagappa; Safwan Ahmed; Yan Lu; Arjun Bakshi; Farhad Ghassemi (ICASSP, 2022)