Items where Author is "Almeida Soares, Eduardo"

Journal Article

Almeida Soares, Eduardo and Angelov, Plamen and Biaso, Sarah and Froes, Michele Higa and Abe, D. K. (2024) A large multiclass dataset of CT scans for COVID-19 identification. Evolving Systems, 15 (1). 635–640. ISSN 1868-6478

Angelov, Plamen and Almeida Soares, Eduardo (2021) Detecting and Learning from Unknown by Extremely Weak Supervision : eXploratory Classifier (xClass). Neural Computing and Applications, 33 (22). pp. 15145-15157. ISSN 0941-0643

Almeida Soares, Eduardo and Angelov, Plamen (2021) RADNN: ROBUST TO IMPERCEPTIBLE ADVERSARIAL ATTACKS DEEP NEURAL NETWORK. TechRxiv. p. 1.

Angelov, Plamen and Almeida Soares, Eduardo and Jiang, Richard and Arnold, Nicholas and Atkinson, Peter (2021) Explainable artificial intelligence : an analytical review. WIREs Data Mining and Knowledge Discovery, 11 (5): e1424. ISSN 1942-4795

Almeida Soares, Eduardo and Angelov, Plamen and Costa, Bruno and Castro, Marcos and Nageshrao, Subramanya and Filev, Dimitar (2021) Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. IEEE Transactions on Fuzzy Systems, 29 (8). pp. 2399-2407. ISSN 1063-6706

Firouzi, Farshad and Farahani, Bahar and Daneshmand, Mahmoud and Grise, Kathy and Song, JaeSeung and Saracco, Roberto and Wang, Lucy Lu and Lo, Kyle and Angelov, Plamen and Almeida Soares, Eduardo and Po-Shen Loh and Talebpour, Zeynab and Moradi, Reza and Mohsen Goodarzi and Haleh Ashraf and Mohammad Talebpour and Alireza Talebpour and Luca Romeo and Rupam Das and Hadi Heidari and Dana Pasquale and James Moody and James Moodys and Chris Woods and Erich S. Huang and Payam Barnaghi and Sarrafzadeh, Majid and Ron Li and Kristen L Beck and Olexandr Isayev and Nakmyoung Sung and Alan Luo (2021) Harnessing the Power of Smart and Connected Health to Tackle COVID-19 : IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet of Things Journal, 8 (16). pp. 12826-12846. ISSN 2327-4662

Almeida Soares, Eduardo and Angelov, Plamen and Zhang, Ziyang (2021) An Explainable approach to Deep Learning from CT-scans for Covid Identification. TechRxiv.

Almeida Soares, Eduardo and Angelov, Plamen Parvanov and Gu, Xiaowei (2020) Autonomous Learning Multiple-Model Zero-Order Classifier for Heart Sound Classification. Applied Soft Computing, 94: 106449. ISSN 1568-4946

Gu, Xiaowei and Angelov, Plamen and Almeida Soares, Eduardo (2020) A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification. International Journal of Intelligent Systems, 35 (6). pp. 923-943. ISSN 0884-8173

Angelov, Plamen and Almeida Soares, Eduardo (2020) SARS-CoV-2 CT-scan dataset : A large dataset of real patients CT scans for SARS-CoV-2 identification. medRxiv.

Contribution in Book/Report/Proceedings

Almeida Soares, Eduardo and Angelov, Plamen and Suri, Neeraj (2023) Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. In: Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022 :. Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence, SSCI 2022 . IEEE, pp. 1028-1035. ISBN 9781665487689

Zhang, Ziyang and Angelov, Plamen and Almeida Soares, Eduardo and Longepe, Nicolas and Mathieu, Pierre Philippe (2023) An Interpretable Deep Semantic Segmentation Method for Earth Observation. In: 2022 IEEE 11th International Conference on Intelligent Systems (IS) :. 2022 IEEE 11th International Conference on Intelligent Systems (IS) . IEEE, pp. 1-8. ISBN 9781665492768

Alghamdi, Mona and Angelov, Plamen and Rufino, Mariana and Gimenez, Raul and Almeida Soares, Eduardo (2019) Self-Organising and Self-Learning Model for Soybean Yield Prediction. In: 2019 6th International Conference on Social Networks Analysis, Management and Security, SNAMS 2019 :. IEEE, pp. 441-446. ISBN 9781728129471

Almeida Soares, Eduardo and Angelov, Plamen Parvanov and Costa, Bruno Sielly Jales and Castro, Marcos (2019) Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. In: 2019 International Joint Conference on Neural Networks (IJCNN) :. IEEE, HUN, pp. 1-8. ISBN 9781728119861

Costa, Bernardo S. and Bernardes, Aiko C. S. and Pereira, Julia V. A. and Zampa, Vitoria H. and Pereira, Vitoria A. and Matos, Guilherme F. and Almeida Soares, Eduardo and Soares, Claiton L. and Silva, Alexandre F. (2018) Artificial Intelligence in Automated Sorting in Trash Recycling. In: Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018) :. UNSPECIFIED, pp. 198-205.

Almeida Soares, Eduardo and Camargo, Heloisa A. and Camargo, Suzana J. and Leite, Daniel F. (2018) Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting. In: 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) :. IEEE. ISBN 9781509060214

Almeida Soares, Eduardo and Mota, Vania and Poucas, Ricardo and Leite, Daniel (2017) Cloud-based evolving intelligent method for weather time series prediction. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) :. IEEE. ISBN 9781509060344

Contribution to Conference

Almeida Soares, Eduardo and Angelov, Plamen and Filev, Dimitar and Costa, Bruno and Castro, Marcos and Nageshrao, Subramanya (2019) Explainable Density-based Approach for Self-driving Actions Classification. In: IEEE International Conference on Machine Learning and Applications, 2019-12-16 - 2019-12-19.

Thesis

Almeida Soares, Eduardo and Angelov, Plamen (2022) Explainable-by-Design Deep Learning. PhD thesis, Lancaster University.

Other

Almeida Soares, Eduardo and Angelov, Plamen (2019) Novelty Detection and Learning from Extremely Weak Supervision. UNSPECIFIED.

Almeida Soares, Eduardo and Angelov, Plamen (2019) Fair-by-design explainable models for prediction of recidivism. Arxiv.