• 631 Citations
  • 10 h-Index
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Fingerprint Dive into the research topics where Gregory Ditzler is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Classifiers Engineering & Materials Science
Feature extraction Engineering & Materials Science
Learning systems Engineering & Materials Science
Artificial intelligence Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Information theory Engineering & Materials Science
Neural networks Engineering & Materials Science
Set theory Engineering & Materials Science

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

Research Output 2010 2019

  • 631 Citations
  • 10 h-Index
  • 31 Conference contribution
  • 12 Article
  • 2 Chapter
  • 1 Review article
5 Citations (Scopus)

A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments

Razavi-Far, R., Hallaji, E., Saif, M. & Ditzler, G., Jan 2019, In : IEEE Transactions on Industrial Electronics. 66, 1, p. 561-570 10 p., 8336956.

Research output: Contribution to journalArticle

Bearings (structural)
Condition monitoring
Fault detection
Induction motors

Approximate kernel reconstruction for time-varying networks

Ditzler, G., Bouaynaya, N., Shterenberg, R. & Fathallah-Shaykh, H. M., Feb 6 2019, In : BioData Mining. 12, 1, 5.

Research output: Contribution to journalArticle

Open Access
Time varying networks
Compressive Sensing
Gene Regulatory Networks
Gene Regulatory Network
Regulator Genes

A semi-parallel framework for greedy information-theoretic feature selection

Liu, H. & Ditzler, G., Aug 2019, In : Information Sciences. 492, p. 13-28 16 p.

Research output: Contribution to journalArticle

Information theory
Parallel processing systems
Parallel Computing
Information Theory
Large Data Sets

Data Poisoning Attacks against MRMR

Liu, H. & Ditzler, G., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2517-2521 5 p. 8683530. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

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

Information theory
Feature extraction
Learning systems

Learning what we don't care about: Anti-training with sacrificial functions

Ditzler, G., Miller, S. & Rozenblit, J., Sep 1 2019, In : Information Sciences. 496, p. 198-211 14 p.

Research output: Contribution to journalArticle

Generalization Error
Multi-objective Evolutionary Algorithm