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Results for TEDA

Publications & Outputs

  1. Automatic detection of computer network traffic anomalies based on eccentricity analysis

    Martins, R. S., Angelov, P. & Costa, B. S. J., 15/10/2018, 2018 IEEE International Conference on Fuzzy Systems, FUZZ 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8 p. 8491507

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  2. An evolving approach to unsupervised and Real-Time fault detection in industrial processes

    Gomes Bezerra, C., Costa, B. S. J., Guedes, L. A. & Angelov, P. P., 30/11/2016, In: Expert Systems with Applications. 63, p. 134-144 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Autonomously evolving classifier TEDAClass

    Kangin, D., Angelov, P. & Iglesias, J. A., 20/10/2016, In: Information Sciences. 366, p. 1-11 11 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Evolving classifier TEDAClass for big data

    Kangin, D., Angelov, P. P., Iglesias, J. A. & Sanchis, A., 08/2015, In: Procedia Computer Science. 53, p. 9-18 10 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Typicality distribution function: a new density-based data analytics tool

    Angelov, P., 12/07/2015, Neural Networks (IJCNN), 2015 International Joint Conference on. IEEE, p. 1-8 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Recursive SVM based on TEDA

    Kangin, D. & Angelov, P., 2015, Statistical learning and data sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Gammerman, A., Vovk, V. & Papadopoulos, H. (eds.). Cham: Springer, p. 156-168 13 p. (Lecture Notes in Computer Science; vol. 9047).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Anomaly detection based on eccentricity analysis

    Angelov, P., 12/2014, 2014 IEEE Symposium on Evolving and Autonomous Learning Systems (EALS). Orlando, FL, USA: IEEE Press, p. 1-8 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review