Eduardo A. Soares

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Autonomous Learning

Rule Based Classifier

Top Venues

Appl. Soft Comput.

Publications

Pedro Andrade, Ivanovitch Silva, Marianne Diniz, Thommas K. S. Flores, Daniel G. Costa, Eduardo A. Soares
Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique. ACM Trans. Embed. Comput. Syst. 23 (3) (2024)
Eduardo A. Soares, Plamen Angelov, Sarah Biaso, Marcelo Cury, Daniel Abe
A large multiclass dataset of CT scans for COVID-19 identification. Evol. Syst. 15 (2) (2024)
Eduardo A. Soares, Plamen P. Angelov, Neeraj Suri
Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. SSCI (2022)
Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen P. 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 Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet Things J. 8 (16) (2021)
Paulo Vitor de Campos Souza, Eduardo A. Soares, Augusto Junio Guimarães, Vanessa Souza Araujo, Vinicius Jonathan Silva Araujo, Thiago Silva Rezende
Autonomous Data Density pruning fuzzy neural network for Optical Interconnection Network. Evol. Syst. 12 (4) (2021)
Eduardo A. Soares, Plamen P. Angelov, Bruno Costa, Marcos Castro, Subramanya Nageshrao, Dimitar P. Filev
Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. IEEE Trans. Fuzzy Syst. 29 (8) (2021)
Plamen Angelov, Eduardo A. Soares
Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass). Neural Comput. Appl. 33 (22) (2021)
Plamen P. Angelov, Eduardo A. Soares, Richard Jiang, Nicholas I. Arnold, Peter M. Atkinson
Explainable artificial intelligence: an analytical review. WIREs Data Mining Knowl. Discov. 11 (5) (2021)
Plamen P. Angelov, Eduardo A. Soares
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. CoRR (2020)
Eduardo A. Soares, Plamen P. Angelov, Xiaowei Gu
Autonomous Learning Multiple-Model zero-order classifier for heart sound classification. Appl. Soft Comput. 94 (2020)
Plamen P. Angelov, Eduardo A. Soares
Towards explainable deep neural networks (xDNN). Neural Networks 130 (2020)
Plamen P. Angelov, Eduardo A. Soares
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. SMC (2020)
Xiaowei Gu, Plamen P. Angelov, Eduardo A. Soares
A self-adaptive synthetic over-sampling technique for imbalanced classification. Int. J. Intell. Syst. 35 (6) (2020)
Eduardo A. Soares, Plamen P. Angelov
Novelty Detection and Learning from Extremely Weak Supervision. CoRR (2019)
Eduardo A. Soares, Plamen P. Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao
Explainable Density-Based Approach for Self-Driving Actions Classification. ICMLA (2019)
Plamen P. Angelov, Eduardo A. Soares
Towards Explainable Deep Neural Networks (xDNN). CoRR (2019)
Mona Alghamdi, Plamen P. Angelov, Raul Gimenez, Mariana C. Rufino, Eduardo A. Soares
Self-Organising and Self-Learning Model for Soybean Yield Prediction. SNAMS (2019)
Eduardo A. Soares, Plamen Angelov
Fair-by-design explainable models for prediction of recidivism. CoRR (2019)
Eduardo A. Soares, Plamen P. Angelov, Bruno Costa, Marcos Castro
Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. IJCNN (2019)
Eduardo A. Soares, Pyramo Costa, Bruno Costa, Daniel F. Leite
Ensemble of evolving data clouds and fuzzy models for weather time series prediction. Appl. Soft Comput. 64 (2018)
Eduardo A. Soares, Heloisa A. Camargo, Suzana J. Camargo, Daniel F. Leite
Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting. FUZZ-IEEE (2018)
Vania C. Mota, Flavio A. Damasceno, Eduardo A. Soares, Daniel F. Leite
Fuzzy clustering methods applied to the evaluation of compost bedded pack barns. FUZZ-IEEE (2017)
Eduardo A. Soares, Vania C. Mota, Ricardo Poucas, Daniel F. Leite
Cloud-based evolving intelligent method for weather time series prediction. FUZZ-IEEE (2017)