Alejandro
Baldominos Gomez
Investigador en el periodo 2016-2022
Yago
Sáez Achaerandio
Publicaciones en las que colabora con Yago Sáez Achaerandio (14)
2022
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AWS PredSpot: Machine learning for predicting the price of spot instances in AWS cloud
IJIMAI, Vol. 7, Núm. 3, pp. 65-74
2020
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On the automated, evolutionary design of neural networks: past, present, and future
Neural Computing and Applications, Vol. 32, Núm. 2, pp. 519-545
2019
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A comparison of machine learning and deep learning techniques for activity recognition using mobile devices
Sensors (Switzerland), Vol. 19, Núm. 3
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A survey of handwritten character recognition with MNIST and EMNIST
Applied Sciences (Switzerland), Vol. 9, Núm. 15
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Coin.AI: A proof-of-useful-work scheme for blockchain-based distributed deep learning
Entropy, Vol. 21, Núm. 8
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Hybridizing evolutionary computation and deep neural networks: An approach to handwriting recognition using committees and transfer learning
Complexity, Vol. 2019
2018
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DataCare: Big Data Analytics Solution for Intelligent Healthcare Management
IJIMAI, Vol. 4, Núm. 7, pp. 13-20
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Evolutionary convolutional neural networks: An application to handwriting recognition
Neurocomputing, Vol. 283, pp. 38-52
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Evolutionary design of convolutional neural networks for human activity recognition in sensor-rich environments
Sensors (Switzerland), Vol. 18, Núm. 4
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Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017
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A comparison study of classifier algorithms for cross-person physical activity recognition
Sensors (Switzerland), Vol. 17, Núm. 1
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Feature Selection for Physical Activity Recognition Using Genetic Algorithms
2017 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
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Feature selection for physical activity recognition using genetic algorithms
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings
2016
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Exploring the Application of Hybrid Evolutionary Computation Techniques to Physical Activity Recognition
PROCEEDINGS OF THE 2016 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'16 COMPANION)