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ORCIDHéctor F. Satizábal
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2020 – today
- 2024
[c20]Benoît Hohl, Héctor F. Satizábal, Andrés Pérez-Uribe:
Unveiling the Potential of Synthetic Data in Sports Science: A Comparative Study of Generative Methods. ICANN (8) 2024: 162-175- 2021
- [c19]Héctor F. Satizábal, Andrés Pérez-Uribe:
Learning Image Segmentation from Few Annotations - A REPTILE Application. IWANN (1) 2021: 510-522
2010 – 2019
- 2019
- [c18]Ricardo Muñoz Bocanegra, Jesús Alfonso López Sotelo, Héctor F. Satizábal, Andrés Pérez-Uribe:
Fruit and Vegetable Information System Using Embedded Convolutional Neural Networks. LA-CCI 2019: 1-5 - 2017
- [j5]Héctor F. Satizábal, Alexandre Grillon, Giacomo Picasso, Andres Upegui, Gregoire P. Millet, Andrés Pérez-Uribe:
ActiDote - A wireless sensor-based system for self-tracking activity levels among manual wheelchair users. EAI Endorsed Trans. Pervasive Health Technol. 3(11): e2 (2017) - [j4]Héctor F. Satizábal, Alexandre Grillon, Andres Upegui
, Gregoire P. Millet, Giacomo Picasso, Andrés Pérez-Uribe:
ActiDote - A wireless sensor-based system for self-tracking activity levels among manual wheelchair users. EAI Endorsed Trans. Pervasive Health Technol. 3(12): e5 (2017) - [c17]Olivier Chabloz, David Da Silva Andrade, Andres Upegui, Héctor F. Satizábal, Andrés Pérez-Uribe:
DiscoveryTree: Relative localization based on multi-hop BLE beacons. GIoTS 2017: 1-6 - [c16]Jérémie Despraz, Stéphane Gomez, Héctor F. Satizábal, Carlos Andrés Peña-Reyes:
Exploring Internal Representations of Deep Neural Networks. IJCCI (Selected Papers) 2017: 119-138 - [c15]Jérémie Despraz, Stéphane Gomez, Héctor F. Satizábal, Carlos Andrés Peña-Reyes:
Towards a Better Understanding of Deep Neural Networks Representations using Deep Generative Networks. IJCCI 2017: 215-222 - 2016
- [j3]Zack Zhu, Héctor F. Satizábal, Ulf Blanke, Andrés Pérez-Uribe, Gerhard Tröster:
Naturalistic Recognition of Activities and Mood Using Wearable Electronics. IEEE Trans. Affect. Comput. 7(3): 272-285 (2016) - [c14]Alexandre Grillon, Andrés Pérez-Uribe, Héctor F. Satizábal, Laurent Gantel, David Da Silva Andrade, Andres Upegui, Francis Degache:
A Wireless Sensor-Based System for Self-tracking Activity Levels Among Manual Wheelchair Users. eHealth 360° 2016: 229-240 - [c13]Julien Rebetez, Héctor F. Satizábal, Matteo Mota, Dorothea Noll, Lucie Büchi, Marina Wendling, Bertrand Cannelle, Andrés Pérez-Uribe, Stéphane Burgos:
Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery. ESANN 2016 - [c12]David C. Alvarez-Charris, Andrés Pérez-Uribe, Héctor F. Satizábal, Jesus A. Lopez:
EvoBoids: Co-design of a physical and virtual game using Artificial Evolution. SSCI 2016: 1-8 - 2015
- [j2]Héctor F. Satizábal, Andrés Pérez-Uribe:
Unsupervised template discovery in activity recognition using the Gamma Growing Neural Gas algorithm. Soft Comput. 19(9): 2435-2445 (2015) - 2013
- [c11]Héctor F. Satizábal, Julien Rebetez, Andrés Pérez-Uribe:
Semi-supervised Discovery of Time-series Templates for Gesture Spotting in Activity Recognition. ICPRAM 2013: 573-576 - [c10]Julien Rebetez, Héctor F. Satizábal, Andrés Pérez-Uribe:
Reducing user intervention in incremental activityrecognition for assistive technologies. ISWC 2013: 29-32 - [c9]Benoît Delachaux, Julien Rebetez, Andrés Pérez-Uribe, Héctor Fabio Satizábal Mejia:
Indoor Activity Recognition by Combining One-vs.-All Neural Network Classifiers Exploiting Wearable and Depth Sensors. IWANN (2) 2013: 216-223 - 2012
- [c8]Andrés Pérez-Uribe, Héctor F. Satizábal:
Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity. ICANN (1) 2012: 201-208 - 2011
- [j1]Héctor F. Satizábal, Andres Upegui, Andrés Pérez-Uribe, Philippe Rétornaz, Francesco Mondada:
A social approach for target localization: simulation and implementation in the marXbot robot. Memetic Comput. 3(4): 245-259 (2011) - [c7]Héctor Fabio Satizábal Mejia, Andrés Pérez-Uribe:
Using the GNG-m Algorithm to Deal with the Problem of Catastrophic Forgetting in Incremental Modelling. IJCCI (NCTA) 2011: 267-276 - 2010
- [c6]Andres Upegui, Yann Thoma, Héctor F. Satizábal, Francesco Mondada, Philippe Rétornaz, Yoan Graf, Andrés Pérez-Uribe, Eduardo Sanchez:
Ubichip, Ubidule, and MarXbot: A Hardware Platform for the Simulation of Complex Systems. ICES 2010: 286-298 - [c5]Héctor F. Satizábal, Andres Upegui, Andrés Pérez-Uribe:
Social Target Localization in a Population of Foragers. NICSO 2010: 13-24
2000 – 2009
- 2009
- [c4]Héctor F. Satizábal, Andres Upegui:
Dynamic partial reconfiguration of the Ubichip for implementing adaptive size incremental topologies. IEEE Congress on Evolutionary Computation 2009: 134-141 - [p2]Héctor F. Satizábal, Andrés Pérez-Uribe, Marco Tomassini:
Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets. Constructive Neural Networks 2009: 243-260 - 2008
- [c3]Héctor F. Satizábal, Andrés Pérez-Uribe, Marco Tomassini:
Prototype Proliferation in the Growing Neural Gas Algorithm. ICANN (2) 2008: 793-802 - [p1]Daniel R. Jiménez R., Andrés Pérez-Uribe, Héctor F. Satizábal, Miguel Arturo Barreto-Sanz, Patrick Van Damme, Marco Tomassini:
A Survey of Artificial Neural Network-Based Modeling in Agroecology. Soft Computing Applications in Industry 2008: 247-269 - 2007
- [c2]Héctor F. Satizábal, Andrés Pérez-Uribe:
Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks. ICANN (1) 2007: 39-48 - [c1]Héctor F. Satizábal, Daniel R. Jiménez R., Andrés Pérez-Uribe:
Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction. IWANN 2007: 1147-1154
Coauthor Index
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