Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks. - Héctor F. Satizábal; Andrés Pérez-Uribe (ICANN (1), 2007)

Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction. - Héctor F. Satizábal; Daniel R. Jiménez R.; Andrés Pérez-Uribe (IWANN, 2007)

Prototype Proliferation in the Growing Neural Gas Algorithm. - Héctor F. Satizábal; Andrés Pérez-Uribe; Marco Tomassini (ICANN (2), 2008)

A Survey of Artificial Neural Network-Based Modeling in Agroecology. - Daniel R. Jiménez R.; Andrés Pérez-Uribe; Héctor F. Satizábal; Miguel Arturo Barreto-Sanz; Patrick Van Damme; Marco Tomassini (Soft Computing Applications in Industry, 2008)

Dynamic partial reconfiguration of the Ubichip for implementing adaptive size incremental topologies. - Héctor F. Satizábal; Andres Upegui (IEEE Congress on Evolutionary Computation, 2009)

Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets. - Héctor F. Satizábal; Andrés Pérez-Uribe; Marco Tomassini (Constructive Neural Networks, 2009)

Ubichip, Ubidule, and MarXbot: A Hardware Platform for the Simulation of Complex Systems. - Andres Upegui; Yann Thoma; Héctor F. Satizábal; Francesco Mondada; Philippe Rétornaz; Yoan Graf; Andrés Pérez-Uribe; Eduardo Sanchez (ICES, 2010)

Social Target Localization in a Population of Foragers. - Héctor F. Satizábal; Andres Upegui; Andrés Pérez-Uribe (NICSO, 2010)

Using the GNG-m Algorithm to Deal with the Problem of Catastrophic Forgetting in Incremental Modelling. - Héctor Fabio Satizábal Mejia; Andrés Pérez-Uribe (IJCCI (NCTA), 2011)

A social approach for target localization: simulation and implementation in the marXbot robot. - Héctor F. Satizábal; Andres Upegui; Andrés Pérez-Uribe; Philippe Rétornaz; Francesco Mondada (Memetic Comput., 2011)

Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity. - Andrés Pérez-Uribe; Héctor F. Satizábal (ICANN (1), 2012)

Semi-supervised Discovery of Time-series Templates for Gesture Spotting in Activity Recognition. - Héctor F. Satizábal; Julien Rebetez; Andrés Pérez-Uribe (ICPRAM, 2013)

Reducing user intervention in incremental activityrecognition for assistive technologies. - Julien Rebetez; Héctor F. Satizábal; Andrés Pérez-Uribe (ISWC, 2013)

Indoor Activity Recognition by Combining One-vs.-All Neural Network Classifiers Exploiting Wearable and Depth Sensors. - Benoît Delachaux; Julien Rebetez; Andrés Pérez-Uribe; Héctor Fabio Satizábal Mejia (IWANN (2), 2013)

Unsupervised template discovery in activity recognition using the Gamma Growing Neural Gas algorithm. - Héctor F. Satizábal; Andrés Pérez-Uribe (Soft Comput., 2015)

A Wireless Sensor-Based System for Self-tracking Activity Levels Among Manual Wheelchair Users. - Alexandre Grillon; Andrés Pérez-Uribe; Héctor F. Satizábal; Laurent Gantel; David Da Silva Andrade; Andres Upegui; Francis Degache (eHealth 360°, 2016)

Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery. - Julien Rebetez; Héctor F. Satizábal; Matteo Mota; Dorothea Noll; Lucie Büchi; Marina Wendling; Bertrand Cannelle; Andrés Pérez-Uribe; Stéphane Burgos (ESANN, 2016)

EvoBoids: Co-design of a physical and virtual game using Artificial Evolution. - David C. Alvarez-Charris; Andrés Pérez-Uribe; Héctor F. Satizábal; Jesus A. Lopez (SSCI, 2016)

Naturalistic Recognition of Activities and Mood Using Wearable Electronics. - Zack Zhu; Héctor F. Satizábal; Ulf Blanke; Andrés Pérez-Uribe; Gerhard Tröster (IEEE Trans. Affect. Comput., 2016)

DiscoveryTree: Relative localization based on multi-hop BLE beacons. - Olivier Chabloz; David Da Silva Andrade; Andres Upegui; Héctor F. Satizábal; Andrés Pérez-Uribe (GIoTS, 2017)

Towards a Better Understanding of Deep Neural Networks Representations using Deep Generative Networks. - Jérémie Despraz; Stéphane Gomez; Héctor F. Satizábal; Carlos Andrés Peña-Reyes (IJCCI, 2017)

Exploring Internal Representations of Deep Neural Networks. - Jérémie Despraz; Stéphane Gomez; Héctor F. Satizábal; Carlos Andrés Peña-Reyes (IJCCI (Selected Papers), 2017)

ActiDote - A wireless sensor-based system for self-tracking activity levels among manual wheelchair users. - Héctor F. Satizábal; Alexandre Grillon; Giacomo Picasso; Andres Upegui; Gregoire P. Millet; Andrés Pérez-Uribe (EAI Endorsed Trans. Pervasive Health Technol., 2017)

Fruit and Vegetable Information System Using Embedded Convolutional Neural Networks. - Ricardo Muñoz Bocanegra; Jesús Alfonso López Sotelo; Héctor F. Satizábal; Andrés Pérez-Uribe (LA-CCI, 2019)

Learning Image Segmentation from Few Annotations - A REPTILE Application. - Héctor F. Satizábal; Andrés Pérez-Uribe (IWANN (1), 2021)

Unveiling the Potential of Synthetic Data in Sports Science: A Comparative Study of Generative Methods. - Benoît Hohl; Héctor F. Satizábal; Andrés Pérez-Uribe (ICANN (8), 2024)