Krishnakant V. Saboo

17 papers A* 1B 1C 1Journal 6Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	State space modeling of multidien cyclical progression of epilepsy. ML4H@NeurIPS Krishnakant V. Saboo, Yurui Cao, Václav Kremen, Suguna Pappu, Philippa J. Karoly, Dean R. Freestone, Mark J. Cook, Gregory A. Worrell, Ravishankar K. Iyer
2023	—	`conf`	A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. NER 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
2023	J	`jnl`	RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images. CoRR 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
2023	—	`conf`	REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. ML4H@NeurIPS Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer
2023	J	`jnl`	REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. CoRR Chang Hu, Krishnakant V. Saboo, Ahmad H. Ali, Brian D. Juran, Konstantinos N. Lazaridis, Ravishankar K. Iyer
2022	J	`jnl`	Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. NeuroImage 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
2022	—	`conf`	Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. BIBM 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
2021	J	`jnl`	Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. NeuroImage Victoria S. Marks, Krishnakant V. Saboo, Çagdas Topçu, Michal Lech, Theodore P. Thayib, Petr Nejedly, Václav Kremen, Gregory A. Worrell, Michal T. Kucewicz
2021	A*	`conf`	Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. NeurIPS Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer
2021	J	`jnl`	Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. CoRR Krishnakant V. Saboo, Anirudh Choudhary, Yurui Cao, Gregory A. Worrell, David T. Jones, Ravishankar K. Iyer
2020	—	`conf`	Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. ISBI Krishnakant V. Saboo, Chang Hu, Yogatheesan Varatharajah, Prashanthi Vemuri, Ravishankar K. Iyer
2019	—	`conf`	A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. NER 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
2019	—	`conf`	A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. BIBM Yogatheesan Varatharajah, Krishnakant V. Saboo, Ravishankar K. Iyer, Scott A. Przybelski, Christopher G. Schwarz, Ronald C. Petersen, Clifford R. Jack, Prashanthi Vemuri
2017	—	`conf`	EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. NIPS Yogatheesan Varatharajah, Min Jin Chong, Krishnakant V. Saboo, Brent M. Berry, Benjamin H. Brinkmann, Gregory A. Worrell, Ravishankar K. Iyer
2016	C	`conf`	Distributed and Asynchronous Methods for Semi-supervised Learning. WAW Konstantin Avrachenkov, Vivek S. Borkar, Krishnakant V. Saboo
2015	B	`conf`	Composer classification based on temporal coding in adaptive spiking neural networks. IJCNN Chaitanya Prasad N, Krishnakant V. Saboo, Bipin Rajendran
2015	J	`jnl`	Parallel and Distributed Approaches for Graph Based Semi-supervised Learning. CoRR Konstantin Avrachenkov, Vivek S. Borkar, Krishnakant V. Saboo