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Eduardo Almeida Soares

Formerly at Lancaster University

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  1. 2021
  2. Published

    Detecting and Learning from Unknown by Extremely Weak Supervision: eXploratory Classifier (xClass)

    Angelov, P. & Almeida Soares, E., 30/11/2021, In: Neural Computing and Applications. 33, 22, p. 15145-15157 13 p.

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

  3. Published

    Autonomous Data Density pruning fuzzy neural network for Optical Interconnection Network

    de Campos Souza, P. V., Soares, E. A., Guimarães, A. J., Araujo, V. S., Araujo, V. J. S. & Rezende, T. S., 31/12/2021, In: Evolving Systems. 12, 4, p. 899-911 13 p.

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

  4. 2022
  5. Published

    Explainable-by-Design Deep Learning

    Almeida Soares, E., 15/08/2022, Lancaster University. 160 p.

    Research output: Thesis › Doctoral Thesis

  6. Published

    An Interpretable Deep Semantic Segmentation Method for Earth Observation.

    Zhang, Z., Angelov, P., Soares, E., Longépé, N. & Mathieu, P-P., 23/10/2022, In: arXiv. abs/2210.12820

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

  7. 2023
  8. Published

    An Interpretable Deep Semantic Segmentation Method for Earth Observation

    Zhang, Z., Angelov, P., Almeida Soares, E., Longepe, N. & Mathieu, P. P., 25/01/2023, 2022 IEEE 11th International Conference on Intelligent Systems (IS). Atanassov, K. T., Doukovska, L., Kacprzyk, J., Krawczak, M., Owsinski, J. W., Sgurev, V., Szmidt, E. & Zadrozny, S. (eds.). IEEE, p. 1-8 8 p. (2022 IEEE 11th International Conference on Intelligent Systems (IS)).

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

  9. Published

    Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks

    Almeida Soares, E., Angelov, P. & Suri, N., 30/01/2023, Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022. Ishibuchi, H., Kwoh, C-K., Tan, A-H., Srinivasan, D., Miao, C., Trivedi, A. & Crockett, K. (eds.). IEEE, p. 1028-1035 8 p. (Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022).

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

  10. 2024
  11. 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

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