Héctor F. Satizábal

发表

Dynamic partial reconfiguration of the Ubichip for implementing adaptive size incremental topologies

Andres Upegui, Héctor F. Satizábal, H. Satizábal, 2009, 2009 IEEE Congress on Evolutionary Computation.

Exploring Internal Representations of Deep Neural Networks

Héctor F. Satizábal, Carlos Andrés Peña-Reyes, Jérémie Despraz, 2017, IJCCI.

A Wireless Sensor-Based System for Self-tracking Activity Levels Among Manual Wheelchair Users

Andres Upegui, Laurent Gantel, Héctor F. Satizábal, 2017, eHealth 360°.

Unsupervised template discovery in activity recognition using the Gamma Growing Neural Gas algorithm

Héctor F. Satizábal, Andrés Pérez-Uribe, A. Pérez-Uribe, 2014, Soft Computing.

A social approach for target localization: simulation and implementation in the marXbot robot

Andres Upegui, Francesco Mondada, Héctor F. Satizábal, 2011, Memetic Comput..

Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity

Héctor F. Satizábal, Andrés Pérez-Uribe, 2012, ICANN.

Enhancing Decision-Making Processes of Small Farmers in Tropical Crops by Means of Machine Learning Models

Héctor F. Satizábal, Andres Perez-Uribe, Miguel Arturo Barreto-Sanz, 2012 .

EvoBoids: Co-design of a physical and virtual game using Artificial Evolution

Héctor F. Satizábal, Andrés Pérez-Uribe, David C. Alvarez-Charris, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

ActiDote - A wireless sensor-based system for self-tracking activity levels among manual wheelchair users

Andres Upegui, Héctor F. Satizábal, Alexandre Grillon, 2017, EAI Endorsed Trans. Pervasive Health Technol..

Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction

Héctor F. Satizábal, Andrés Pérez-Uribe, R. DanielR.Jiménez, 2007, IWANN.

DiscoveryTree: Relative localization based on multi-hop BLE beacons

Andres Upegui, Héctor F. Satizábal, Andrés Pérez-Uribe, 2017, 2017 Global Internet of Things Summit (GIoTS).

Naturalistic Recognition of Activities and Mood Using Wearable Electronics

Gerhard Tröster, Héctor F. Satizábal, Ulf Blanke, 2016, IEEE Transactions on Affective Computing.

Semi-supervised Discovery of Time-series Templates for Gesture Spotting in Activity Recognition

Héctor F. Satizábal, Andrés Pérez-Uribe, Julien Rebetez, 2013, ICPRAM.

DCGAN Model Used To Generate Body Gestures On a Human-Humanoid Interaction System

Héctor F. Satizábal, Andres Perez-Uribe, Jesús A. López, 2019, 2019 IEEE Colombian Conference on Applications in Computational Intelligence (ColCACI).

Prototype Proliferation in the Growing Neural Gas Algorithm

Marco Tomassini, Héctor F. Satizábal, Andrés Pérez-Uribe, 2008, ICANN.

Relevance Metrics to Reduce Input Dimensions in Artificial Neural Networks

Héctor F. Satizábal, Andrés Pérez-Uribe, 2007, ICANN.

Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery

Héctor F. Satizábal, Andrés Pérez-Uribe, Bertrand Cannelle, 2016, ESANN.

ActiDote - A wireless sensor-based system for self-tracking activity levels among manual wheelchair users

Andres Upegui, Héctor F. Satizábal, Alexandre Grillon, 2017, EAI Endorsed Trans. Pervasive Health Technol..

Reducing user intervention in incremental activityrecognition for assistive technologies

Héctor F. Satizábal, Andrés Pérez-Uribe, Julien Rebetez, 2013, ISWC '13.

Avoiding Prototype Proliferation in Incremental Vector Quantization of Large Heterogeneous Datasets

Marco Tomassini, Héctor F. Satizábal, Andrés Pérez-Uribe, 2009, Constructive Neural Networks.

Social Target Localization in a Population of Foragers

Andres Upegui, Héctor F. Satizábal, Andrés Pérez-Uribe, 2010, NICSO.

Towards a Better Understanding of Deep Neural Networks Representations using Deep Generative Networks

Héctor F. Satizábal, Carlos Andrés Peña-Reyes, Jérémie Despraz, 2017, IJCCI.

Ubichip, Ubidule, and MarXbot: A Hardware Platform for the Simulation of Complex Systems

Andres Upegui, Francesco Mondada, Eduardo Sanchez, 2010, ICES.

A Survey of Artificial Neural Network-Based Modeling in Agroecology

Marco Tomassini, Héctor F. Satizábal, Patrick Van Damme, 2008, Soft Computing Applications in Industry.

Learning Image Segmentation from Few Annotations - A REPTILE Application

Héctor F. Satizábal, Andrés Pérez-Uribe, 2021, IWANN.

Analysis of Andean blackberry (Rubus glaucus) production models obtained by means of artificial neural networks exploiting information collected by small-scale growers in Colombia and publicly available meteorological data

Héctor F. Satizábal, Patrick Van Damme, Andy Jarvis, 2009 .