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Research

Professor Plamen Angelov

Professor, Founding member, Director, Funding group lead

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  1. Published

    A large multiclass dataset of CT scans for COVID-19 identification

    Almeida Soares, E., Angelov, P., Biaso, S., Froes, M. H. & Abe, D. K., 1/04/2024, In: Evolving Systems. 15, 1, p. 635–640 5 p.

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

  2. Published

    A Massively Parallel Deep Rule-Based Ensemble Classifier for Remote Sensing Scenes

    Gu, X., Angelov, P. P., Zhang, C. & Atkinson, P. M., 03/2018, In: IEEE Geoscience and Remote Sensing Letters. 15, 3, p. 345-349 5 p.

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

  3. Published

    A mathematical framework for spectroscopy data analysis to characterize chemical-induced alterations in the SHE assay

    Trevisan, J., Angelov, P. P., Carmichael, P. L., Scott, A. D. & Martin, F. L., 11/2010, In: Mutagenesis. 25, 6, p. 658-658 1 p.

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

  4. Published

    A Method for Autonomous Data Partitioning

    Gu, X., Angelov, P. P. & Principe, J., 09/2018, In: Information Sciences. 460-461, p. 65-82 18 p.

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

  5. Published

    A method for fuzzy linear dynamic programing.

    Angelov, P., 1995. 5 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  6. Published

    A Method for Predicting Quality of the Crude Oil Distillation

    Macias, J. J., Angelov, P. & Xiaowei, Z., 8/09/2006, Evolving Fuzzy Systems, 2006 International Symposium on. IEEE, p. 214-220 7 p.

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

  7. Published

    A methodology for modeling HVAC components using evolving fuzzy rules

    Angelov, P., Buswell, R. A., Hanby, V. I. & Wright, J. A., 10/2000. 247 p.

    Research output: Contribution to conference - Without ISBN/ISSN › Conference paper › peer-review

  8. Published

    A multistream deep rule-based ensemble system for aerial image scene classification

    Gu, X. & Angelov, P. P., 29/06/2022, Deep Learning, Intelligent Control and Evolutionary Computation. Angelov, P. (ed.). World Scientific Publishing Co., Vol. 2. p. 661-695 35 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  9. Published

    A nested hierarchy of dynamically evolving clouds for big data structuring and searching

    Angelov, P. & Sadeghi Tehran, P., 8/08/2015, In: Procedia Computer Science. 53, p. 1-8 8 p.

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

  10. Published

    A new evolving clustering algorithm for online data streams

    Bezerra, C. G., Costa, B. S. J., Guedes, L. A. & Angelov, P. P., 23/05/2016, 2016 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS2016. IEEE, p. 162-168 7 p.

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

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