1984 …2020
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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.

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
Associative Memory Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2008 2020

Research Output 1984 2019

Group Learning for High-Dimensional Sparse Data

Cherkassky, V., Chen, H. H. & Shiao, H. T., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8852183. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).

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

Classifiers
Processing
Supervised learning
Testing

Machine Learning Approach to Predicting Stem Cell Donor Availability

Sivasankaran, A., Williams, E., Albrecht, M., Switzer, G. E., Cherkassky, V. S. & Maiers, M., Dec 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. & 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
20 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 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