Krishnakant Saboo

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 7

Top Topics

Spiking Neural Networks

Supervised Learning

Top Venues

Publications

Anirudh Choudhary, Angelina Hwang, Jacob Kechter, Krishnakant Saboo, Blake Bordeaux, Puneet Bhullar, Nneka I. Comfere, David DiCaudo, Steven Nelson, Emma Johnson, Leah Swanson, Dennis Murphree, Aaron Mangold, Ravishankar K. Iyer
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images. CoRR (2023)
Krishnakant Saboo, Chang Hu, Yogatheesan Varatharajah, Prashanthi Vemuri, Ravishankar K. Iyer
Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. ISBI (2020)
Yogatheesan Varatharajah, Krishnakant Saboo, Ravishankar K. Iyer, Scott A. Przybelski, Christopher G. Schwarz, Ronald C. Petersen, Clifford R. Jack, Prashanthi Vemuri
A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. BIBM (2019)
Yogatheesan Varatharajah, Min Jin Chong, Krishnakant Saboo, Brent M. Berry, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. NIPS (2017)
Konstantin Avrachenkov, Vivek S. Borkar, Krishnakant Saboo
Distributed and Asynchronous Methods for Semi-supervised Learning. WAW (2016)
Konstantin Avrachenkov, Vivek S. Borkar, Krishnakant Saboo
Parallel and Distributed Approaches for Graph Based Semi-supervised Learning. CoRR (2015)
Chaitanya Prasad N, Krishnakant Saboo, Bipin Rajendran
Composer classification based on temporal coding in adaptive spiking neural networks. IJCNN (2015)