ÁNGEL MIGUEL
GARCÍA VICO
Investigador en el periodo 2020-2021
Publicaciones (34) Publicaciones de ÁNGEL MIGUEL GARCÍA VICO
2024
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Advancing Computational Frontiers: Spiking Neural Networks in High-Energy Efficiency Computing Across Diverse Domains
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Combining traditional and spiking neural networks for energy-efficient detection of Eimeria parasites
Applied Soft Computing, Vol. 160
2023
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A Multiclustering Evolutionary Hyperrectangle-Based Algorithm
International Journal of Computational Intelligence Systems, Vol. 16, Núm. 1
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A distributed evolutionary fuzzy system-based method for the fusion of descriptive emerging patterns in data streams
Information Fusion, Vol. 91, pp. 412-423
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An Evolutionary Fuzzy System for Multiclustering in Data Streaming
Procedia Computer Science
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Clustering: an R library to facilitate the analysis and comparison of cluster algorithms
Progress in Artificial Intelligence, Vol. 12, Núm. 1, pp. 33-44
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Consumption–Production Profile Categorization in Energy Communities
Energies, Vol. 16, Núm. 19
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Exploring the implementation of LSTM inference on FPGA
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023
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TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning
Neurocomputing, Vol. 517, pp. 223-228
2022
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A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Gamificación mediante juegos de bloques en asignaturas del ámbito de la Inteligencia Artificial en el Grado en Ingeniería Informática
Educar para transformar: Innovación pedagógica, calidad y TIC en contextos formativos (Dykinson), pp. 1076-1082
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Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Spiking neural networks based on two-dimensional materials
npj 2D Materials and Applications, Vol. 6, Núm. 1
2021
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A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
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A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns
Advances in Intelligent Systems and Computing
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A Preliminary Many Objective Approach for Extracting Fuzzy Emerging Patterns
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020
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A cellular-based evolutionary approach for the extraction of emerging patterns in massive data streams
Expert Systems with Applications, Vol. 183
2020
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E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments
Neurocomputing, Vol. 415, pp. 60-73
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FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams
IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 12, pp. 3193-3203