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Hctor F. Satizbal

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

12

Venues

7

Active years

2007–2024

Best venue rank

C

Where they publish

Papers

12 indexed papers, newest first.

YearVenueTitleAuthors
2024ICANNUnveiling the Potential of Synthetic Data in Sports Science: A Comparative Study of Generative Methods.Benot Hohl, Hctor F. Satizbal, Andrs Prez-Uribe
2021IWANNLearning Image Segmentation from Few Annotations - A REPTILE Application.Hctor F. Satizbal, Andrs Prez-Uribe
2017IJCCITowards a Better Understanding of Deep Neural Networks Representations using Deep Generative Networks.Jrmie Despraz, Stphane Gomez, Hctor F. Satizbal, Carlos Andrs Pea-Reyes
2017IJCCIExploring Internal Representations of Deep Neural Networks.Jrmie Despraz, Stphane Gomez, Hctor F. Satizbal, Carlos Andrs Pea-Reyes
2016ESANNAugmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery.Julien Rebetez, Hctor F. Satizbal, Matteo Mota, Dorothea Noll, Lucie Bchi, Marina Wendling, Bertrand Cannelle, Andrs Prez-Uribe, Stphane Burgos
2013ICPRAMSemi-supervised Discovery of Time-series Templates for Gesture Spotting in Activity Recognition.Hctor F. Satizbal, Julien Rebetez, Andrs Prez-Uribe
2013ISWCReducing user intervention in incremental activityrecognition for assistive technologies.Julien Rebetez, Hctor F. Satizbal, Andrs Prez-Uribe
2012ICANNArtificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity.Andrs Prez-Uribe, Hctor F. Satizbal
2009CECDynamic partial reconfiguration of the Ubichip for implementing adaptive size incremental topologies.Hctor F. Satizbal, Andres Upegui
2008ICANNPrototype Proliferation in the Growing Neural Gas Algorithm.Hctor F. Satizbal, Andrs Prez-Uribe, Marco Tomassini
2007ICANNRelevance Metrics to Reduce Input Dimensions in Artificial Neural Networks.Hctor F. Satizbal, Andrs Prez-Uribe
2007IWANNConsequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction.Hctor F. Satizbal, Daniel R. Jimnez R., Andrs Prez-Uribe