Projects per year
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
Reliable Seizure Prediction Using Physiological Signals
Cherkassky, V. S. & Patterson, N.
5/15/15 → 3/31/20
Project: Research project
Learning systems
Neurophysiologically Based Responsive Brain Tracking & Modulation
Cherkassky, V. S., Patterson, N. & Pluhar, L.
9/30/15 → 4/30/19
Project: Research project
Brain
Modulation
Statistical Analysis of the Soil Chemical Survey Data
Cherkassky, V. S. & Simcik, M.
MN DEPARTMENT OF TRANSPORTATION
7/8/08 → 6/30/10
Project: Research project
statistical analysis
soil
chemical
methodology
learning
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 proceeding › Conference 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 journal › Article
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 journal › Article
Support vector machines
Classifiers
Set theory
Support vector machine
Boosting
25
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 journal › Article
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 proceeding › Conference contribution