Fuzzy clustering methods applied to the evaluation of compost bedded pack barns. - Vania C. Mota; Flavio A. Damasceno; Eduardo A. Soares 001; Daniel F. Leite (FUZZ-IEEE, 2017)

Cloud-based evolving intelligent method for weather time series prediction. - Eduardo A. Soares 001; Vania C. Mota; Ricardo Poucas; Daniel F. Leite (FUZZ-IEEE, 2017)

Incremental Gaussian Granular Fuzzy Modeling Applied to Hurricane Track Forecasting. - Eduardo A. Soares 001; Heloisa A. Camargo; Suzana J. Camargo; Daniel F. Leite (FUZZ-IEEE, 2018)

Ensemble of evolving data clouds and fuzzy models for weather time series prediction. - Eduardo A. Soares 001; Pyramo Costa; Bruno Costa 004; Daniel F. Leite (Appl. Soft Comput., 2018)

Explainable Density-Based Approach for Self-Driving Actions Classification. - Eduardo A. Soares 001; Plamen Angelov 001; Dimitar P. Filev; Bruno Costa 004; Marcos Castro; Subramanya Nageshrao (ICMLA, 2019)

Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. - Eduardo A. Soares 001; Plamen Angelov 001; Bruno Costa 004; Marcos Castro (IJCNN, 2019)

Self-Organising and Self-Learning Model for Soybean Yield Prediction. - Mona Alghamdi; Plamen Angelov 001; Raul Gimenez; Mariana C. Rufino; Eduardo A. Soares 001 (SNAMS, 2019)

Fair-by-design explainable models for prediction of recidivism. - Eduardo A. Soares 001; Plamen Angelov 001 (CoRR, 2019)

Novelty Detection and Learning from Extremely Weak Supervision. - Eduardo A. Soares 001; Plamen Angelov 001 (CoRR, 2019)

Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. - Plamen Angelov 001; Eduardo A. Soares 001 (SMC, 2020)

Autonomous Learning Multiple-Model zero-order classifier for heart sound classification. - Eduardo A. Soares 001; Plamen Angelov 001; Xiaowei Gu 001 (Appl. Soft Comput., 2020)

A self-adaptive synthetic over-sampling technique for imbalanced classification. - Xiaowei Gu 001; Plamen P. Angelov; Eduardo A. Soares 001 (Int. J. Intell. Syst., 2020)

Towards explainable deep neural networks (xDNN). - Plamen Angelov 001; Eduardo A. Soares 001 (Neural Networks, 2020)

Autonomous Data Density pruning fuzzy neural network for Optical Interconnection Network. - Paulo Vitor de Campos Souza; Eduardo A. Soares 001; Augusto Junio Guimarães; Vanessa Souza Araujo; Vinicius Jonathan Silva Araujo; Thiago Silva Rezende (Evol. Syst., 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 001; Eduardo A. Soares 001; Po-Shen Loh; Zeynab Talebpour; et al. (IEEE Internet Things J., 2021)

Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass). - Plamen Angelov 001; Eduardo A. Soares 001 (Neural Comput. Appl., 2021)

Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. - Eduardo A. Soares 001; Plamen P. Angelov; Bruno Costa 004; Marcos Castro; Subramanya Nageshrao; Dimitar P. Filev (IEEE Trans. Fuzzy Syst., 2021)

Explainable artificial intelligence: an analytical review. - Plamen P. Angelov; Eduardo A. Soares 001; Richard Jiang 001; Nicholas I. Arnold; Peter M. Atkinson (WIREs Data Mining Knowl. Discov., 2021)

An Interpretable Deep Semantic Segmentation Method for Earth Observation. - Ziyang Zhang; Plamen Angelov 001; Eduardo Almeida Soares 001; Nicolas Longépé; Pierre-Philippe Mathieu (IS, 2022)

Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. - Eduardo A. Soares 001; Plamen Angelov 001; Neeraj Suri (SSCI, 2022)

A large multiclass dataset of CT scans for COVID-19 identification. - Eduardo A. Soares 001; Plamen Angelov 001; Sarah Biaso; Marcelo Cury; Daniel Abe (Evol. Syst., 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 001 (ACM Trans. Embed. Comput. Syst., 2024)

An explainable approach to deep learning from CT-scans for Covid identification. - Eduardo Soares 001; Plamen Angelov 001; Ziyang Zhang (Evol. Syst., 2024)

Causality-driven feature selection and domain adaptation for enhancing chemical foundation models in downstream tasks. - Eduardo Almeida Soares 001; Victor Shirasuna; Emilio Vital Brazil; Karen Fiorella Aquino Gutierrez; Renato Cerqueira; Dmitry Zubarev; Kristin Schmidt; Daniel P. Sanders 002 (Mach. Learn. Sci. Technol., 2025)