Krishnakant V. Saboo

Orcid: 0000-0002-0690-2107

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

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

Reinforcement Learning based Disease Progression Model for Alzheimer's Disease.
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
Distributed and Asynchronous Methods for Semi-supervised Learning.
Proceedings of the Algorithms and Models for the Web Graph - 13th International Workshop, 2016

2015
Parallel and Distributed Approaches for Graph Based Semi-supervised Learning.
CoRR, 2015

Composer classification based on temporal coding in adaptive spiking neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015


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