Robi Polikar

Former affiliation
  • 4537 Citations
  • 28 h-Index
19972019
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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.

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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

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 proceedingConference 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 journalArticle

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 proceedingConference 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 journalEditorial

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 journalArticle

Feature extraction
Sieves
Program processors
Classifiers
Availability