Héctor F. Satizábal
According to our database1,
Héctor F. Satizábal
authored at least 26 papers
between 2007 and 2024.
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Bibliography
2024
Unveiling the Potential of Synthetic Data in Sports Science: A Comparative Study of Generative Methods.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024
2021
Proceedings of the Advances in Computational Intelligence, 2021
2019
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019
2017
ActiDote - A wireless sensor-based system for self-tracking activity levels among manual wheelchair users.
EAI Endorsed Trans. Pervasive Health Technol., 2017
Proceedings of the Computational Intelligence - 9th International Joint Conference, 2017
Towards a Better Understanding of Deep Neural Networks Representations using Deep Generative Networks.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017
Proceedings of the Global Internet of Things Summit, 2017
2016
IEEE Trans. Affect. Comput., 2016
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
A Wireless Sensor-Based System for Self-tracking Activity Levels Among Manual Wheelchair Users.
Proceedings of the eHealth 360°, 2016
2015
Unsupervised template discovery in activity recognition using the Gamma Growing Neural Gas algorithm.
Soft Comput., 2015
2013
Indoor Activity Recognition by Combining One-vs.-All Neural Network Classifiers Exploiting Wearable and Depth Sensors.
Proceedings of the Advances in Computational Intelligence, 2013
Reducing user intervention in incremental activityrecognition for assistive technologies.
Proceedings of the 17th Annual International Symposium on Wearable Computers. ISWC 2013, 2013
Semi-supervised Discovery of Time-series Templates for Gesture Spotting in Activity Recognition.
Proceedings of the ICPRAM 2013, 2013
2012
Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
2011
A social approach for target localization: simulation and implementation in the marXbot robot.
Memetic Comput., 2011
Using the GNG-m Algorithm to Deal with the Problem of Catastrophic Forgetting in Incremental Modelling.
Proceedings of the NCTA 2011, 2011
2010
Proceedings of the Nature Inspired Cooperative Strategies for Optimization, 2010
Ubichip, Ubidule, and MarXbot: A Hardware Platform for the Simulation of Complex Systems.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2010
2009
Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets.
Proceedings of the Constructive Neural Networks, 2009
Dynamic partial reconfiguration of the Ubichip for implementing adaptive size incremental topologies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Proceedings of the Soft Computing Applications in Industry, 2008
Proceedings of the Artificial Neural Networks, 2008
2007
Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction.
Proceedings of the Computational and Ambient Intelligence, 2007
Proceedings of the Artificial Neural Networks, 2007