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Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.

  • 16 Similar Profiles
Support vector machines Engineering & Materials Science
Neural networks Engineering & Materials Science
Data storage equipment Engineering & Materials Science
Learning systems Engineering & Materials Science
Self organizing maps Engineering & Materials Science
Learning Medicine & Life Sciences
Switches Engineering & Materials Science
Local area networks Engineering & Materials Science

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Projects 2008 2019

Research Output 1984 2018

Machine Learning Approach to Predicting Stem Cell Donor Availability

Sivasankaran, A., Williams, E., Albrecht, M., Switzer, G. E., Cherkassky, V. S. & Maiers, M., Dec 1 2018, In : Biology of Blood and Marrow Transplantation. 24, 12, p. 2425-2432 8 p.

Research output: Contribution to journalArticle

Stem Cells
Tissue Donors
Transplants
Machine Learning
Donor Selection
1 Citation (Scopus)

Universum Selection for Boosting the Performance of Multiclass Support Vector Machines Based on One-versus-One Strategy

Songsiri, P., Cherkassky, V. S. & Kijsirikul, B., Nov 1 2018, In : Knowledge-Based Systems. 159, p. 9-19 11 p.

Research output: Contribution to journalArticle

Support vector machines
Classifiers
Set theory
Support vector machine
Boosting
14 Citations (Scopus)

SVM-Based System for Prediction of Epileptic Seizures from iEEG Signal

Shiao, H. T., Cherkassky, V. S., Lee, J., Veber, B., Patterson, N., Brinkmann, B. H. & Worrell, G. A., May 1 2017, In : IEEE Transactions on Biomedical Engineering. 64, 5, p. 1011-1022 12 p., 7501827.

Research output: Contribution to journalArticle

Electroencephalography
Support vector machines
Brain
Testing
1 Citation (Scopus)

Universum learning for SVM regression

Dhar, S. & Cherkassky, V. S., Jun 30 2017, 2017 International Joint Conference on Neural Networks, IJCNN 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3641-3648 8 p. 7966314. (Proceedings of the International Joint Conference on Neural Networks; vol. 2017-May).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Correction: Forecasting seizures using bivariate intracranial EEG measures and SVM in naturally occurring canine epilepsy

Brinkmann, B. H., Patterson, E. E., Vite, C., Vasoli, V. M., Crepeau, D., Stead, M., Howbert, J. J., Cherkassky, V., Wagenaar, J. B., Litt, B. & Worrell, G. A., May 1 2016, In : PloS one. 11, 5, e0156476.

Research output: Contribution to journalComment/debate

epilepsy
seizures
Canidae
Epilepsy
Seizures