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Results for Interpretability

Publications & Outputs

  1. 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/MagazineJournal articlepeer-review

  2. 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/MagazineJournal articlepeer-review

  3. A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability

    Huang, X., Kroening, D., Ruan, W., Sharp, J., Sun, Y., Thamo, E., Wu, M. & Yi, X., 1/08/2020, In: Computer Science Review. 37, 35 p., 100270.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review