Composer classification based on temporal coding in adaptive spiking neural networks. - Chaitanya Prasad N; Krishnakant V. Saboo; Bipin Rajendran (IJCNN, 2015)

Parallel and Distributed Approaches for Graph Based Semi-supervised Learning. - Konstantin Avrachenkov; Vivek S. Borkar; Krishnakant V. Saboo (CoRR, 2015)

Distributed and Asynchronous Methods for Semi-supervised Learning. - Konstantin Avrachenkov; Vivek S. Borkar; Krishnakant V. Saboo (WAW, 2016)

EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms. - Yogatheesan Varatharajah; Min Jin Chong; Krishnakant V. Saboo; Brent M. Berry; Benjamin H. Brinkmann; Gregory A. Worrell; Ravishankar K. Iyer (NIPS, 2017)

A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals. - Yogatheesan Varatharajah; Krishnakant V. Saboo; Ravishankar K. Iyer; Scott A. Przybelski; Christopher G. Schwarz; Ronald C. Petersen; Clifford R. Jack; Prashanthi Vemuri (BIBM, 2019)

A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection. - 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; et al. (NER, 2019)

Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables. - Krishnakant V. Saboo; Chang Hu; Yogatheesan Varatharajah; Prashanthi Vemuri; Ravishankar K. Iyer (ISBI, 2020)

Reinforcement Learning based Disease Progression Model for Alzheimer's Disease. - Krishnakant V. Saboo; Anirudh Choudhary; Yurui Cao; Gregory A. Worrell; David T. Jones; Ravishankar K. Iyer (NeurIPS, 2021)

Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation. - Victoria S. Marks; Krishnakant V. Saboo; Çagdas Topçu; Michal Lech; Theodore P. Thayib; Petr Nejedly; Václav Kremen; Gregory A. Worrell; Michal T. Kucewicz (NeuroImage, 2021)

Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG. - 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 (BIBM, 2022)

Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging. - 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; et al. (NeuroImage, 2022)

REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression. - Chang Hu; Krishnakant V. Saboo; Ahmad H. Ali; Brian D. Juran; Konstantinos N. Lazaridis; Ravishankar K. Iyer (ML4H@NeurIPS, 2023)

A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG. - 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 (NER, 2023)

RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images. - 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; et al. (CoRR, 2023)

State space modeling of multidien cyclical progression of epilepsy. - Krishnakant V. Saboo; Yurui Cao; Václav Kremen; Suguna Pappu; Philippa J. Karoly; Dean R. Freestone; Mark J. Cook; Gregory A. Worrell; Ravishankar K. Iyer (ML4H@NeurIPS, 2024)