Projects per year
Personal profile
Education/Academic qualification
Master of Science, Master
Doctor of Philosophy, doctorate
Fingerprint Dive into the research topics where Robi Polikar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 6 Similar Profiles
Classifiers
Engineering & Materials Science
Learning algorithms
Engineering & Materials Science
Data fusion
Engineering & Materials Science
Electroencephalography
Engineering & Materials Science
Alzheimer Disease
Medicine & Life Sciences
Incremental Learning
Mathematics
Neural networks
Engineering & Materials Science
Students
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2013 2018
- 2 Finished
Advanced Study Institute: Challenges and Emerging Techniques in Cyber and Energy Infrastructure Security
NATO (North Atlantic Treaty Organization)
7/1/14 → 12/31/15
Project: Other project
AIS: Learning From Intially Labeled Nonstatonary Streaming Data
9/1/13 → 8/31/18
Project: Other project
Research Output 1997 2019
Adversarial Poisoning of Importance Weighting in Domain Adaptation
Umer, M., Frederickson, C. & Polikar, R., Jan 28 2019, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (ed.). Institute of Electrical and Electronics Engineers Inc., p. 381-388 8 p. 8628720. (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Weighting
Learning systems
Logistics
Classifiers
Attack
2
Citations
(Scopus)
A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection
Ditzler, G., Polikar, R. & Rosen, G., Jun 1 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 6, p. 2530-2544 15 p.Research output: Contribution to journal › Article
Set theory
Learning systems
Feature extraction
Classifiers
1
Citation
(Scopus)
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning
Frederickson, C., Moore, M., Dawson, G. & Polikar, R., Oct 10 2018, 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8489495. (Proceedings of the International Joint Conference on Neural Networks; vol. 2018-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Learning systems
Learning algorithms
Feature extraction
Big Data and Situation-Aware Technology for Smarter Healthcare
Chen, M. Y., Lughofer, E. D. & Polikar, R., Dec 1 2018, In : Journal of Medical and Biological Engineering. 38, 6, p. 845-846 2 p.Research output: Contribution to journal › Editorial
Big data
Extensions to Online Feature Selection Using Bagging and Boosting
Ditzler, G., Labarck, J., Ritchie, J., Rosen, G. & Polikar, R., Sep 1 2018, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 9, p. 4504-4509 6 p., 8065078.Research output: Contribution to journal › Article
Feature extraction
Sieves
Program processors
Classifiers
Availability