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Research

Eduardo Almeida Soares

Formerly at Lancaster University

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  1. 2021
  2. Published

    Explaining Deep Learning Models Through Rule-Based Approximation and Visualization

    Almeida Soares, E., Angelov, P., Costa, B., Castro, M., Nageshrao, S. & Filev, D., 31/08/2021, In: IEEE Transactions on Fuzzy Systems. 29, 8, p. 2399-2407 9 p.

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

  3. Published

    Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World

    Firouzi, F., Farahani, B., Daneshmand, M., Grise, K., Song, J., Saracco, R., Wang, L. L., Lo, K., Angelov, P., Almeida Soares, E., Po-Shen Loh, Talebpour, Z., Moradi, R., Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, & 12 othersDana Pasquale, James Moody, James Moodys, Chris Woods, Erich S. Huang, Payam Barnaghi, Sarrafzadeh, M., Ron Li, Kristen L Beck, Olexandr Isayev, Nakmyoung Sung & Alan Luo, 31/08/2021, In: IEEE Internet of Things Journal. 8, 16, p. 12826-12846 21 p.

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

  4. Published

    An Explainable approach to Deep Learning from CT-scans for Covid Identification

    Almeida Soares, E., Angelov, P. & Zhang, Z., 2021, In: TechRxiv.

    Research output: Contribution to Journal/Magazine › Journal article

  5. 2020
  6. Published

    Towards Deep Machine Reasoning: A Prototype-based Deep Neural Network with Decision Tree Inference

    Angelov, P. & Soares, E., 11/10/2020, 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020. Institute of Electrical and Electronics Engineers Inc., Vol. October. p. 2092-2099 8 p. 9282812

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

  7. Published

    Towards explainable deep neural networks (xDNN)

    Angelov, P. & Soares, E., 1/10/2020, In: Neural Networks. 130, p. 185-194 10 p.

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

  8. Published

    Autonomous Learning Multiple-Model Zero-Order Classifier for Heart Sound Classification

    Almeida Soares, E., Angelov, P. P. & Gu, X., 1/09/2020, In: Applied Soft Computing. 94, 9 p., 106449.

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

  9. Published

    A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification

    Gu, X., Angelov, P. & Almeida Soares, E., 1/06/2020, In: International Journal of Intelligent Systems. 35, 6, p. 923-943 21 p.

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

  10. Published

    SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification

    Angelov, P. & Almeida Soares, E., 29/04/2020, In: medRxiv. 8 p.

    Research output: Contribution to Journal/Magazine › Journal article

  11. Published

    Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference

    Angelov, P. & Soares, E., 2/02/2020, In: arXiv.

    Research output: Contribution to Journal/Magazine › Journal article

  12. 2019
  13. Published

    Explainable Density-based Approach for Self-driving Actions Classification

    Almeida Soares, E., Angelov, P., Filev, D., Costa, B., Castro, M. & Nageshrao, S., 16/12/2019, p. 1-6. 6 p.

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

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