ENRIQUE ANTONIO DE LA
CAL MARIN
Profesor Titular de Universidad
Javier
Sedano Franco
Publicaciones en las que colabora con Javier Sedano Franco (52)
2023
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A Comparison of Two Speech Emotion Recognition Algorithms: Pepper Humanoid Versus Bag of Models
Lecture Notes in Networks and Systems
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Multi-objective Optimization for Multi-Robot Path Planning on Warehouse Environments
Lecture Notes in Networks and Systems
2022
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Improving wearable-based fall detection with unsupervised learning
Logic Journal of the IGPL, Vol. 30, Núm. 2, pp. 314-325
2021
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A Preliminary Study for Automatic Activity Labelling on an Elder People ADL Dataset
Advances in Intelligent Systems and Computing
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An autonomous fallers monitoring kit: Release 0.0
Advances in Intelligent Systems and Computing
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An ensemble solution for multivariate time series clustering
Neurocomputing, Vol. 457, pp. 182-192
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Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges
Neurocomputing, Vol. 452, pp. 404-413
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Mixing user-centered and generalized models for Fall Detection
Neurocomputing, Vol. 452, pp. 473-486
2020
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DTW as Alignment Function in the Context of Time Series Balancing
Advances in Intelligent Systems and Computing
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Design issues in Time Series dataset balancing algorithms
Neural Computing and Applications, Vol. 32, Núm. 5, pp. 1287-1304
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Fall Detection Based on Local Peaks and Machine Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Feature Clustering to Improve Fall Detection: A Preliminary Study
Advances in Intelligent Systems and Computing
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Transfer learning and information retrieval applied to fall detection
Expert Systems
2019
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A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Fall Detection Analysis Using a Real Fall Dataset
Advances in Intelligent Systems and Computing
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Iot and big data in well-aging: The iotea project
International Journal of Advanced Trends in Computer Science and Engineering, Vol. 8, Núm. 1, pp. �186-190
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User-centered fall detection using supervised, on-line learning and transfer learning
Progress in Artificial Intelligence, Vol. 8, Núm. 4, pp. 453-474
2018
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A SMOTE extension for balancing multivariate epilepsy-related time series datasets
Advances in Intelligent Systems and Computing
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Evaluation of a wrist-based wearable fall detection method
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Using ensembles for improving fall detection
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España