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.
- 1 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
- 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
Machine learning analysis of digital clock drawing test performance for differential classification of mild cognitive impairment subtypes versus Alzheimer's disease
Binaco, R., Calzaretto, N., Epifano, J., McGuire, S., Umer, M., Emrani, S., Wasserman, V., Libon, D. J. & Polikar, R., Aug 1 2020, In : Journal of the International Neuropsychological Society. 26, 7, p. 690-700 11 p.Research output: Contribution to journal › Article
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
1
Scopus
citations
Vulnerability of Covariate Shift Adaptation against Malicious Poisoning Attacks
Umer, M., Frederickson, C. & Polikar, R., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8851748. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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
4
Scopus
citations
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
3
Scopus
citations