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ORCIDKrishnakant V. Saboo
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, USA
- affiliation (former): Indian Institute of Technology Bombay (IIT Bombay), Department of Electrical Engineering, Mumbai, India
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Journal Articles
- 2022
[j2]Krishnakant V. Saboo
, Chang Hu, Yogatheesan Varatharajah, Scott A. Przybelski, Robert I. Reid, Christopher G. Schwarz, Jonathan Graff-Radford, David S. Knopman, Mary M. Machulda, Michelle M. Mielke, Ronald C. Petersen, Paul M. Arnold, Gregory A. Worrell, David T. Jones, Clifford R. Jack Jr., Ravishankar K. Iyer, Prashanthi Vemuri:
Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. NeuroImage 251: 119020 (2022)- 2021
- [j1]Victoria S. Marks, Krishnakant V. Saboo, Çagdas Topçu, Michal Lech, Theodore P. Thayib, Petr Nejedly, Václav Kremen, Gregory A. Worrell, Michal T. Kucewicz:
Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. NeuroImage 245: 118637 (2021)
Conference and Workshop Papers
- 2023
- [c10]Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer:
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. ML4H@NeurIPS 2023: 157-189 - [c9]Yurui Cao, Krishnakant V. Saboo, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Suguna Pappu, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer:
A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. NER 2023: 1-4 - 2022
- [c8]Krishnakant V. Saboo, Yurui Cao, Václav Kremen, Vladimir Sladky, Nicholas M. Gregg, Paul M. Arnold, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer:
Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. BIBM 2022: 1157-1163 - 2021
- [c7]Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer:
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. NeurIPS 2021: 20903-20915 - 2020
- [c6]Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Prashanthi Vemuri, Ravishankar K. Iyer:
Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. ISBI 2020: 1326-1330 - 2019
- [c5]Yogatheesan Varatharajah, Krishnakant V. 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: 1657-1664 - [c4]Krishnakant V. Saboo, Yogatheesan Varatharajah, Brent M. Berry, Michael R. Sperling, Richard J. T. Gorniak, Kathryn A. Davis, Barbara C. Jobst, Robert E. Gross, Bradley Lega, Sameer A. Sheth, Michael J. Kahana, Michal T. Kucewicz, Gregory A. Worrell, Ravishankar K. Iyer:
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. NER 2019: 323-327 - 2017
- [c3]Yogatheesan Varatharajah, Min Jin Chong, Krishnakant V. 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: 5371-5380 - 2016
- [c2]Konstantin Avrachenkov, Vivek S. Borkar, Krishnakant V. Saboo:
Distributed and Asynchronous Methods for Semi-supervised Learning. WAW 2016: 34-46 - 2015
- [c1]Chaitanya Prasad N, Krishnakant V. Saboo, Bipin Rajendran:
Composer classification based on temporal coding in adaptive spiking neural networks. IJCNN 2015: 1-8
Informal and Other Publications
- 2023
- [i4]Anirudh Choudhary, Angelina Hwang, Jacob Kechter, Krishnakant V. 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 abs/2308.15618 (2023) - [i3]Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer:
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. CoRR abs/2310.01426 (2023) - 2021
- [i2]Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer:
Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. CoRR abs/2106.16187 (2021) - 2015
- [i1]Konstantin Avrachenkov, Vivek S. Borkar, Krishnakant V. Saboo:
Parallel and Distributed Approaches for Graph Based Semi-supervised Learning. CoRR abs/1509.01349 (2015)
Coauthor Index
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