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ORCIDEduardo A. Soares 0001
Person information
- affiliation: IBM Research Brazil, Rio de Janeiro
Other persons with the same name
- Eduardo Soares — disambiguation page
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2020 – today
- 2024
[j12]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): 635-640 (2024)- [j11]Eduardo Soares, Plamen Angelov, Ziyang Zhang:
An explainable approach to deep learning from CT-scans for Covid identification. Evol. Syst. 15(6): 2159-2168 (2024) - [j10]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): 50:1-50:28 (2024) - 2022
- [c9]Ziyang Zhang, Plamen Angelov, Eduardo Almeida Soares, Nicolas Longépé, Pierre-Philippe Mathieu:
An Interpretable Deep Semantic Segmentation Method for Earth Observation. IS 2022: 1-8 - [c8]Eduardo A. Soares, Plamen Angelov, Neeraj Suri:
Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. SSCI 2022: 1028-1035 - [i6]Ziyang Zhang, Plamen Angelov, Eduardo Almeida Soares, Nicolas Longépé, Pierre-Philippe Mathieu:
An Interpretable Deep Semantic Segmentation Method for Earth Observation. CoRR abs/2210.12820 (2022) - 2021
- [j9]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): 899-911 (2021) - [j8]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:
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): 12826-12846 (2021) - [j7]Plamen Angelov, Eduardo A. Soares:
Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass). Neural Comput. Appl. 33(22): 15145-15157 (2021) - [j6]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): 2399-2407 (2021) - [j5]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) - 2020
- [j4]Eduardo A. Soares, Plamen Angelov, Xiaowei Gu:
Autonomous Learning Multiple-Model zero-order classifier for heart sound classification. Appl. Soft Comput. 94: 106449 (2020) - [j3]Xiaowei Gu, Plamen P. Angelov, Eduardo A. Soares:
A self-adaptive synthetic over-sampling technique for imbalanced classification. Int. J. Intell. Syst. 35(6): 923-943 (2020) - [j2]Plamen Angelov, Eduardo A. Soares:
Towards explainable deep neural networks (xDNN). Neural Networks 130: 185-194 (2020) - [c7]Plamen Angelov, Eduardo A. Soares:
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. SMC 2020: 2092-2099 - [i5]Plamen Angelov, Eduardo A. Soares:
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. CoRR abs/2002.03776 (2020)
2010 – 2019
- 2019
- [c6]Eduardo A. Soares, Plamen Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao:
Explainable Density-Based Approach for Self-Driving Actions Classification. ICMLA 2019: 469-474 - [c5]Eduardo A. Soares, Plamen Angelov, Bruno Costa, Marcos Castro:
Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. IJCNN 2019: 1-8 - [c4]Mona Alghamdi, Plamen Angelov, Raul Gimenez, Mariana C. Rufino, Eduardo A. Soares:
Self-Organising and Self-Learning Model for Soybean Yield Prediction. SNAMS 2019: 441-446 - [i4]Eduardo A. Soares, Plamen Angelov:
Fair-by-design explainable models for prediction of recidivism. CoRR abs/1910.02043 (2019) - [i3]Eduardo A. Soares, Plamen Angelov:
Novelty Detection and Learning from Extremely Weak Supervision. CoRR abs/1911.00616 (2019) - [i2]Xiaowei Gu, Plamen P. Angelov, Eduardo Almeida Soares:
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification. CoRR abs/1911.11018 (2019) - [i1]Plamen Angelov, Eduardo A. Soares:
Towards Explainable Deep Neural Networks (xDNN). CoRR abs/1912.02523 (2019) - 2018
- [j1]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: 445-453 (2018) - [c3]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: 1-8 - 2017
- [c2]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: 1-6 - [c1]Eduardo A. Soares, Vania C. Mota, Ricardo Poucas, Daniel F. Leite:
Cloud-based evolving intelligent method for weather time series prediction. FUZZ-IEEE 2017: 1-6
Coauthor Index
aka: Plamen P. Angelov
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