Eduardo A. Soares

24 papers B 5C 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Understanding Structural Representation in Foundation Models for Polymers.
CoRR
Nathaniel H. Park, Eduardo A. Soares, Victor Yukio Shirasuna, Tiffany J. Callahan, Sara Capponi, Emilio Vital Brazil
2024 J jnl
A large multiclass dataset of CT scans for COVID-19 identification.
Evol. Syst.
Eduardo A. Soares, Plamen Angelov, Sarah Biaso, Marcelo Cury, Daniel Abe
2024 J jnl
Online Processing of Vehicular Data on the Edge Through an Unsupervised TinyML Regression Technique.
ACM Trans. Embed. Comput. Syst.
Pedro Andrade, Ivanovitch Silva, Marianne Diniz, Thommas K. S. Flores, Daniel G. Costa, Eduardo A. Soares
2022 — conf
Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks.
SSCI
Eduardo A. Soares, Plamen Angelov, Neeraj Suri
2021 J jnl
Autonomous Data Density pruning fuzzy neural network for Optical Interconnection Network.
Evol. Syst.
Paulo Vitor de Campos Souza, Eduardo A. Soares, Augusto Junio Guimarães, Vanessa Souza Araujo, Vinicius Jonathan Silva Araujo, Thiago Silva Rezende
2021 J jnl
Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass).
Neural Comput. Appl.
Plamen Angelov, Eduardo A. Soares
2021 J jnl
Explainable artificial intelligence: an analytical review.
WIREs Data Mining Knowl. Discov.
Plamen P. Angelov, Eduardo A. Soares, Richard Jiang, Nicholas I. Arnold, Peter M. Atkinson
2021 J jnl
Explaining Deep Learning Models Through Rule-Based Approximation and Visualization.
IEEE Trans. Fuzzy Syst.
Eduardo A. Soares, Plamen P. Angelov, Bruno Costa, Marcos Castro, Subramanya Nageshrao, Dimitar P. Filev
2021 J jnl
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.
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
2020 J jnl
A self-adaptive synthetic over-sampling technique for imbalanced classification.
Int. J. Intell. Syst.
Xiaowei Gu, Plamen P. Angelov, Eduardo A. Soares
2020 J jnl
Autonomous Learning Multiple-Model zero-order classifier for heart sound classification.
Appl. Soft Comput.
Eduardo A. Soares, Plamen Angelov, Xiaowei Gu
2020 B conf
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference.
SMC
Plamen Angelov, Eduardo A. Soares
2020 J jnl
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference.
CoRR
Plamen Angelov, Eduardo A. Soares
2020 J jnl
Towards explainable deep neural networks (xDNN).
Neural Networks
Plamen Angelov, Eduardo A. Soares
2019 B conf
Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios.
IJCNN
Eduardo A. Soares, Plamen Angelov, Bruno Costa, Marcos Castro
2019 C conf
Explainable Density-Based Approach for Self-Driving Actions Classification.
ICMLA
Eduardo A. Soares, Plamen Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao
2019 J jnl
Fair-by-design explainable models for prediction of recidivism.
CoRR
Eduardo A. Soares, Plamen Angelov
2019 J jnl
Novelty Detection and Learning from Extremely Weak Supervision.
CoRR
Eduardo A. Soares, Plamen Angelov
2019 — conf
Self-Organising and Self-Learning Model for Soybean Yield Prediction.
SNAMS
Mona Alghamdi, Plamen Angelov, Raul Gimenez, Mariana C. Rufino, Eduardo A. Soares
2019 J jnl
Towards Explainable Deep Neural Networks (xDNN).
CoRR
Plamen Angelov, Eduardo A. Soares
2018 J jnl
Ensemble of evolving data clouds and fuzzy models for weather time series prediction.
Appl. Soft Comput.
Eduardo A. Soares, Pyramo Costa, Bruno Costa, Daniel F. Leite
2018 B conf
Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting.
FUZZ-IEEE
Eduardo A. Soares, Heloisa A. Camargo, Suzana J. Camargo, Daniel F. Leite
2017 B conf
Cloud-based evolving intelligent method for weather time series prediction.
FUZZ-IEEE
Eduardo A. Soares, Vania C. Mota, Ricardo Poucas, Daniel F. Leite
2017 B conf
Fuzzy clustering methods applied to the evaluation of compost bedded pack barns.
FUZZ-IEEE
Vania C. Mota, Flavio A. Damasceno, Eduardo A. Soares, Daniel F. Leite