Krishnakant V. Saboo
Orcid: 0000-0002-0690-2107Affiliations:
- University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, Urbana, IL, USA
- Indian Institute of Technology Bombay (IIT Bombay), Department of Electrical Engineering, Mumbai, India (former)
According to our database1,
Krishnakant V. Saboo
authored at least 14 papers
between 2015 and 2023.
Collaborative distances:
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Bibliography
2023
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images.
CoRR, 2023
A Transfer Learning-based Model for Individualized Clustered Seizure Prediction Using Intracranial EEG.
Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023
REMEDI: REinforcement learning-driven adaptive MEtabolism modeling of primary sclerosing cholangitis DIsease progression.
Proceedings of the Machine Learning for Health, 2023
2022
Deep learning identifies brain structures that predict cognition and explain heterogeneity in cognitive aging.
NeuroImage, 2022
Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Independent dynamics of low, intermediate, and high frequency spectral intracranial EEG activities during human memory formation.
NeuroImage, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Predicting Longitudinal Cognitive Scores Using Baseline Imaging and Clinical Variables.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
A Joint Model for Predicting Structural and Functional Brain Health in Elderly Individuals.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2017
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Proceedings of the Algorithms and Models for the Web Graph - 13th International Workshop, 2016
2015
CoRR, 2015
Composer classification based on temporal coding in adaptive spiking neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015