Emilio Soria-Olivas

According to our database1, Emilio Soria-Olivas authored at least 90 papers between 2001 and 2018.

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

Timeline

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PhD thesis 
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Bibliography

2018
HemoKinect: A Microsoft Kinect V2 Based Exergaming Software to Supervise Physical Exercise of Patients with Hemophilia.
Sensors, 2018

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

2017
Use of SOMs for footwear comfort evaluation.
Neural Computing and Applications, 2017

Randomized Machine Learning Approaches: Recent Developments and Challenges.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

2016
Random extreme learning machines to predict electric load in buildings.
Progress in AI, 2016

A new visualization tool for data mining techniques.
Progress in AI, 2016

Online fitted policy iteration based on extreme learning machines.
Knowl.-Based Syst., 2016

ELM Regularized Method for Classification Problems.
International Journal on Artificial Intelligence Tools, 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

2015
Optimization of anemia treatment in hemodialysis patients via reinforcement learning.
CoRR, 2015

Comparing ELM Against MLP for Electrical Power Prediction in Buildings.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Improving Mortality Prediction in Cardiovascular Risk Patients by Balancing Classes.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Comparing TSK-1 FRBS against SVR for electrical power prediction in buildings.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

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

Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques.
Computer Methods and Programs in Biomedicine, 2014

Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation.
Comp. in Bio. and Med., 2014

Optimization of anemia treatment in hemodialysis patients via reinforcement learning.
Artificial Intelligence in Medicine, 2014

Hardware implementation methods in Random Vector Functional-Link Networks.
Appl. Intell., 2014

Ensembles of extreme learning machine networks for value prediction.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

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

Machine learning methods to forecast temperature in buildings.
Expert Syst. Appl., 2013

Corrigendum to "Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks" [Expert Systems with Applications 34/1 (2008) 665-672].
Expert Syst. Appl., 2013

Visual data mining with self-organising maps for ventricular fibrillation analysis.
Computer Methods and Programs in Biomedicine, 2013

Matlab-based interface for the simultaneous acquisition of force measures and Doppler ultrasound muscular images.
Computer Methods and Programs in Biomedicine, 2013

Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors.
Comp. in Bio. and Med., 2013

Bayesian Regularized Committee of Extreme Learning Machine.
Proceedings of the ICPRAM 2013, 2013

Temperature Forecast in Buildings Using Machine Learning Techniques.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Machine Learning Techniques for Short-Term Electric Power Demand Prediction.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

ManiSonS: A New Visualization Tool for Manifold Clustering.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 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).
Comp. Applic. in Engineering Education, 2012

Implementation of a new adaptive algorithm using fuzzy cost function and robust to impulsive noise.
Proceedings of the 19th IEEE International Conference on Electronics, Circuits and Systems, 2012

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

Regularized Committee of Extreme Learning Machine for Regression Problems.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Analysis of ventricular fibrillation signals using feature selection methods.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

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

FPGA Implementation of an Adaptive Filter Robust to Impulsive Noise: Two Approaches.
IEEE Trans. Industrial Electronics, 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

Growing Hierarchical Sectors on Sectors.
Proceedings of the ESANN 2011, 2011

Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps.
Proceedings of the ESANN 2011, 2011

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

Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students.
Comp. Applic. in Engineering Education, 2010

Feature selection using ROC curves on classification problems.
Proceedings of the International Joint Conference on Neural Networks, 2010

Neural models for the analysis of kidney disease patients.
Proceedings of the ESANN 2010, 2010

2009
An AI Walk from Pharmacokinetics to A Marketing.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients.
Expert Syst. Appl., 2009

Assigning discounts in a marketing campaign by using reinforcement learning and neural networks.
Expert Syst. Appl., 2009

Qualitative analysis of goat and sheep production data using self-organizing maps.
Expert Systems, 2009

Survival prediction in patients undergoing ischemic cardiopathy.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal.
Expert Syst. Appl., 2008

Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks.
Expert Syst. Appl., 2008

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

2007
Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2007

BioLab: An Educational Tool for Signal Processing Training in Biomedical Engineering.
IEEE Trans. Education, 2007

Steady-state and tracking analysis of a robust adaptive filter with low computational cost.
Signal Processing, 2007

Weekly milk prediction on dairy goats using neural networks.
Neural Computing and Applications, 2007

Statistical criteria for early-stopping of support vector machines.
Neurocomputing, 2007

An approach based on the Adaptive Resonance Theory for analysing the viability of recommender systems in a citizen Web portal.
Expert Syst. Appl., 2007

Validation of a Reinforcement Learning Policy for Dosage Optimization of Erythropoietin.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006
Support Vector Machines for Nonlinear Kernel ARMA System Identification.
IEEE Trans. Neural Networks, 2006

Non-linear RLS-based algorithm for pattern classification.
Signal Processing, 2006

Urban monitoring using multi-temporal SAR and multi-spectral data.
Pattern Recognition Letters, 2006

Efficient pruning of multilayer perceptrons using a fuzzy sigmoid activation function.
Neurocomputing, 2006

Enhancing decision-based neural networks through local competition.
Neurocomputing, 2006

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

Neural networks for animal science applications: Two case studies.
Expert Syst. Appl., 2006

An approach to Co-design of Complex Adaptive Systems.
Proceedings of the 2nd International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2006

2005
Support vector machines framework for linear signal processing.
Signal Processing, 2005

Implementation Challenges in Complex Adaptive Systems.
Proceedings of the 1st International Workshop on Reconfigurable Communication-centric Systems-on-Chip, 2005

2004
Robust support vector method for hyperspectral data classification and knowledge discovery.
IEEE Trans. Geoscience and Remote Sensing, 2004

A novel approach to introducing adaptive filters based on the LMS algorithm and its variants.
IEEE Trans. Education, 2004

Fuzzy sigmoid kernel for support vector classifiers.
Neurocomputing, 2004

Robust gamma-filter using support vector machines.
Neurocomputing, 2004

Crane collision modelling using a neural network approach.
Expert Syst. Appl., 2004

Foetal ECG recovery using dynamic neural networks.
Artificial Intelligence in Medicine, 2004

Design of a Neural Network Model as a Decision Making Aid in Renal Transplant.
Proceedings of the Biological and Medical Data Analysis, 5th International Symposium, 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

2003
A low-complexity fuzzy activation function for artificial neural networks.
IEEE Trans. Neural Networks, 2003

Dosage individualization of erythropoietin using a profile-dependent support vector regression.
IEEE Trans. Biomed. Engineering, 2003

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks.
IEEE Trans. Biomed. Engineering, 2003

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure.
Comp. in Bio. and Med., 2003

CART-based feature selection of hyperspectral images for crop cover classification.
Proceedings of the 2003 International Conference on Image Processing, 2003

Support Vector Machines for Crop Classification Using Hyperspectral Data.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002
Multi-dimensional Function Approximation and Regression Estimation.
Proceedings of the Artificial Neural Networks, 2002

2001
Some Examples for Solving Clinical Problems Using Neural Networks.
Proceedings of the Bio-inspired Applications of Connectionism, 2001

Neural Networks Ensemble for Cyclosporine Concentration Monitoring.
Proceedings of the Artificial Neural Networks, 2001


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