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Eduardo Soares
Eduardo Soares
Other namesEduardo Almeida Soares
IBM Research, Lancaster University
Verified email at ibm.com - Homepage
Title
Cited by
Cited by
Year
Explainable artificial intelligence: an analytical review
PP Angelov, EA Soares, R Jiang, NI Arnold, PM Atkinson
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 11 (5 …, 2021
5942021
SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification
E Soares, P Angelov, S Biaso, MH Froes, DK Abe
MedRxiv, 2020
5452020
Towards explainable deep neural networks (xDNN)
P Angelov, E Soares
Neural Networks 130, 185-194, 2020
3122020
Harnessing the power of smart and connected health to tackle COVID-19: IoT, AI, robotics, and blockchain for a better world
F Firouzi, B Farahani, M Daneshmand, K Grise, J Song, R Saracco, ...
IEEE Internet of Things Journal 8 (16), 12826-12846, 2021
1192021
Ensemble of evolving data clouds and fuzzy models for weather time series prediction
E Soares, P Costa Jr, B Costa, D Leite
Applied Soft Computing 64, 445-453, 2018
1132018
Artificial intelligence in automated sorting in trash recycling
BS Costa, ACS Bernardes, JVA Pereira, VH Zampa, VA Pereira, GF Matos, ...
Anais do XV Encontro Nacional de Inteligência Artificial e Computacional …, 2018
772018
A self‐adaptive synthetic over‐sampling technique for imbalanced classification
X Gu, PP Angelov, EA Soares
International Journal of Intelligent Systems 35 (6), 923-943, 2020
522020
Explainable-by-design approach for covid-19 classification via ct-scan
P Angelov, E Soares
502020
Explaining deep learning models through rule-based approximation and visualization
E Soares, PP Angelov, B Costa, MPG Castro, S Nageshrao, D Filev
IEEE Transactions on Fuzzy Systems 29 (8), 2399-2407, 2020
462020
Autonomous learning multiple-model zero-order classifier for heart sound classification
E Soares, P Angelov, X Gu
Applied Soft Computing 94, 106449, 2020
442020
Fair-by-design explainable models for prediction of recidivism
E Soares, P Angelov
arXiv preprint arXiv:1910.02043, 2019
252019
SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification. medRxiv 2020
E Soares, P Angelov, S Biaso, MH Froes, DK Abe
Google Scholar, 0
25
Actively semi-supervised deep rule-based classifier applied to adverse driving scenarios
E Soares, P Angelov, B Costa, M Castro
2019 international joint conference on neural networks (IJCNN), 1-8, 2019
192019
Incremental gaussian granular fuzzy modeling applied to hurricane track forecasting
EA Soares, HA Camargo, SJ Camargo, DF Leite
2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2018
192018
Explainable density-based approach for self-driving actions classification
E Soares, P Angelov, D Filev, B Costa, M Castro, S Nageshrao
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
182019
A large dataset of real patients CT scans for COVID-19 identification
E Soares, P Angelov
Harv. Dataverse 1, 2020
172020
Towards deep machine reasoning: a prototype-based deep neural network with decision tree inference
P Angelov, E Soares
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
162020
SARS-CoV-2 CT-scan dataset: A large dataset of real patients CT scans for SARS-CoV-2 identification. medRxiv
E Soares, P Angelov, S Biaso, MH Froes, DK Abe
New Haven, CT, USA 10 (2020.04), 24.20078584, 2020
142020
Self-organising and self-learning model for soybean yield prediction
M Alghamdi, P Angelov, R Gimenez, M Rufino, E Soares
2019 Sixth International Conference on Social Networks Analysis, Management …, 2019
112019
Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass)
P Angelov, E Soares
Neural Computing and Applications 33 (22), 15145-15157, 2021
10*2021
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