Jose Luis
Salmeron Silvera
Universidad Autónoma de Chile
Temuco, ChilePublikationen in Zusammenarbeit mit Forschern von Universidad Autónoma de Chile (20)
2024
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A Chaotic Maps-Based Privacy-Preserving Distributed Deep Learning for Incomplete and Non-IID Datasets
IEEE Transactions on Emerging Topics in Computing, Vol. 12, Núm. 1, pp. 357-367
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Blind Federated Learning without initial model
Journal of Big Data, Vol. 11, Núm. 1
2023
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Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
Heliyon, Vol. 9, Núm. 6
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Variational Quantum Circuit Topology Grid Search for Hypocalcemia Following Thyroid Surgery
Mathematics, Vol. 11, Núm. 17
2022
2021
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Construction and Supervised Learning of Long-Term Grey Cognitive Networks
IEEE Transactions on Cybernetics, Vol. 51, Núm. 2, pp. 686-695
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Synthetic emotions for empathic building
Mathematics, Vol. 9, Núm. 7
2020
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An ACS-based memetic algorithm for the heterogeneous vehicle routing problem with time windows
Expert Systems with Applications, Vol. 157
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LRP-Based path relevances for global explanation of deep architectures
Neurocomputing, Vol. 381, pp. 252-260
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Pseudoinverse learning of Fuzzy Cognitive Maps for multivariate time series forecasting
Applied Soft Computing Journal, Vol. 95
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The heterogeneous vehicle routing problem with time windows and a limited number of resources
Engineering Applications of Artificial Intelligence, Vol. 94
2019
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Elliot and symmetric elliot extreme learning machines for Gaussian noisy industrial thermal modelling
Energies, Vol. 12, Núm. 1
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Fuzzy cognitive modeling: Theoretical and practical considerations
Smart Innovation, Systems and Technologies (Springer Science and Business Media Deutschland GmbH), pp. 77-87
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Learning Fuzzy Cognitive Maps with modified asexual reproduction optimisation algorithm
Knowledge-Based Systems, Vol. 163, pp. 723-735
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Uncertainty propagation in fuzzy grey cognitive maps with hebbian-like learning algorithms
IEEE Transactions on Cybernetics, Vol. 49, Núm. 1, pp. 211-220
2017
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Advances in fuzzy cognitive maps theory
Neurocomputing
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Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processes
Neurocomputing, Vol. 232, pp. 52-57
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Medical diagnosis of Rheumatoid Arthritis using data driven PSO–FCM with scarce datasets
Neurocomputing, Vol. 232, pp. 104-112
2016
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Dynamic optimization of fuzzy cognitive maps for time series forecasting
Knowledge-Based Systems, Vol. 105, pp. 29-37
2015
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Fuzzy Cognitive Map-based selection of TRIZ (Theory of Inventive Problem Solving) trends for eco-innovation of ceramic industry products
Journal of Cleaner Production, Vol. 107, pp. 202-214