Juan Gómez-Sanchís

Orcid: 0000-0003-4226-3936

According to our database1, Juan Gómez-Sanchís authored at least 27 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance.
CoRR, 2024

2023
Empirical study of the modulus as activation function in computer vision applications.
Eng. Appl. Artif. Intell., April, 2023

2022
Approaching sales forecasting using recurrent neural networks and transformers.
Expert Syst. Appl., 2022

2021
Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification.
Expert Syst. Appl., 2021

Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images.
Comput. Electron. Agric., 2021

End-to-end Keyword Spotting using Xception-1d.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2019
Analysis of computer user behavior, security incidents and fraud using Self-Organizing Maps.
Comput. Secur., 2019

2018
Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction.
Proceedings of the Artificial Intelligence Research and Development, 2018

2016
Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2014
Least-squares temporal difference learning based on an extreme learning machine.
Neurocomputing, 2014

Optimization of anemia treatment in hemodialysis patients via reinforcement learning.
Artif. Intell. Medicine, 2014

2013
Expert system for predicting unstable angina based on Bayesian networks.
Expert Syst. Appl., 2013

Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors.
Comput. Biol. Medicine, 2013

Least-squares temporal difference learning based on extreme learning machine.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients.
Expert Syst. Appl., 2012

Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques.
Expert Syst. Appl., 2012

MATLAB-based educational software for exploratory data analysis (EDA toolkit).
Comput. Appl. Eng. Educ., 2012

extended visualization method for classification trees.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
BELM: Bayesian Extreme Learning Machine.
IEEE Trans. Neural Networks, 2011

Regularized extreme learning machine for regression problems.
Neurocomputing, 2011

Modelling net radiation at surface using "in situ" netpyrradiometer measurements with artificial neural networks.
Expert Syst. Appl., 2011

Sectors on sectors (SonS): A new hierarchical clustering visualization tool.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2008
Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

Use of Reinforcement Learning in Two Real Applications.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

2007
Development of a Computer Vision System for the Automatic Quality Grading of Mandarin Segments.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms.
Expert Syst. Appl., 2006

2004
Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2004


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