Eduardo A. Soares

According to our database, Eduardo A. Soares authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

An explainable approach to deep learning from CT-scans for Covid identification.

Eduardo Soares, Plamen Angelov, Ziyang Zhang

Evol. Syst., December, 2024

Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique.

Pedro Andrade, Ivanovitch Silva, Marianne Diniz, Thommas K. S. Flores, Daniel G. Costa, Eduardo A. Soares

ACM Trans. Embed. Comput. Syst., May, 2024

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

Eduardo A. Soares, Plamen Angelov, Sarah Biaso, Marcelo Cury, Daniel Abe

Evol. Syst., April, 2024

2022

Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks.

Eduardo A. Soares, Plamen Angelov, Neeraj Suri

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

An Interpretable Deep Semantic Segmentation Method for Earth Observation.

Ziyang Zhang, Plamen Angelov, Eduardo Almeida Soares, Nicolas Longépé, Pierre-Philippe Mathieu

Proceedings of the IEEE 11th International Conference on Intelligent Systems, 2022

2021

Explainable artificial intelligence: an analytical review.

Plamen P. Angelov, Eduardo A. Soares, Richard Jiang, Nicholas I. Arnold, Peter M. Atkinson

WIREs Data Mining Knowl. Discov., 2021

Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.

Eduardo A. Soares, Plamen P. Angelov, Bruno Costa, Marcos Castro, Subramanya Nageshrao, Dimitar P. Filev

IEEE Trans. Fuzzy Syst., 2021

Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass).

Plamen Angelov, Eduardo A. Soares

Neural Comput. Appl., 2021

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

Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen Angelov, Eduardo A. Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, Dana K. Pasquale, James Moody, Chris Woods, Erich S. Huang, Payam M. Barnaghi, Majid Sarrafzadeh, Ron C. Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo

IEEE Internet Things J., 2021

Autonomous Data Density pruning fuzzy neural network for Optical Interconnection Network.

Paulo Vitor de Campos Souza, Eduardo A. Soares, Augusto Junio Guimarães, Vanessa Souza Araujo, Vinicius Jonathan Silva Araujo, Thiago Silva Rezende

Evol. Syst., 2021

2020

Towards explainable deep neural networks (xDNN).

Plamen Angelov, Eduardo A. Soares

Neural Networks, 2020

A self-adaptive synthetic over-sampling technique for imbalanced classification.

Xiaowei Gu, Plamen P. Angelov, Eduardo A. Soares

Int. J. Intell. Syst., 2020

Autonomous Learning Multiple-Model zero-order classifier for heart sound classification.

Eduardo A. Soares, Plamen Angelov, Xiaowei Gu

Appl. Soft Comput., 2020

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

Plamen Angelov, Eduardo A. Soares

Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019

Novelty Detection and Learning from Extremely Weak Supervision.

Eduardo A. Soares, Plamen Angelov

CoRR, 2019

Fair-by-design explainable models for prediction of recidivism.

Eduardo A. Soares, Plamen Angelov

CoRR, 2019

Self-Organising and Self-Learning Model for Soybean Yield Prediction.

Mona Alghamdi, Plamen Angelov, Raul Gimenez, Mariana C. Rufino, Eduardo A. Soares

Proceedings of the Sixth International Conference on Social Networks Analysis, 2019

Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios.

Eduardo A. Soares, Plamen Angelov, Bruno Costa, Marcos Castro

Proceedings of the International Joint Conference on Neural Networks, 2019

Explainable Density-Based Approach for Self-Driving Actions Classification.

Eduardo A. Soares, Plamen Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Ensemble of evolving data clouds and fuzzy models for weather time series prediction.

Eduardo A. Soares, Pyramo Costa, Bruno Costa, Daniel F. Leite

Appl. Soft Comput., 2018

Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting.

Eduardo A. Soares, Heloisa A. Camargo, Suzana J. Camargo, Daniel F. Leite

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Cloud-based evolving intelligent method for weather time series prediction.

Eduardo A. Soares, Vania C. Mota, Ricardo Poucas, Daniel F. Leite

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Fuzzy clustering methods applied to the evaluation of compost bedded pack barns.

Vania C. Mota, Flavio A. Damasceno, Eduardo A. Soares, Daniel F. Leite

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017