Antonio J. Serrano

According to our database1, Antonio J. Serrano authored at least 42 papers between 2000 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2019
Vibration Monitoring of the Mechanical Harvesting of Citrus to Improve Fruit Detachment Efficiency.
Sensors, 2019

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

2017
Use of SOMs for footwear comfort evaluation.
Neural Comput. Appl., 2017

A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning.
Expert Syst. Appl., 2017

A finite element-based machine learning approach for modeling the mechanical behavior of the breast tissues under compression in real-time.
Comput. Biol. Medicine, 2017

2016
A new visualization tool for data mining techniques.
Prog. Artif. Intell., 2016

Machine Learning for Modeling the Biomechanical Behavior of Human Soft Tissue.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2014
Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques.
Comput. Methods Programs Biomed., 2014

Application of machine learning techniques to analyse the effects of physical exercise in ventricular fibrillation.
Comput. Biol. Medicine, 2014

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

Temporal Evolution of Spatial Regularity in Ventricular Fibrillation Modified by Physical Exercise.
Proceedings of the Computing in Cardiology, 2013

Effects of Physical Exercise and Glibenclamide in Local Activation Waves During Ventricular Fibrillation.
Proceedings of the Computing in Cardiology, 2013

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

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

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

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

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

2008
A Teaching Laboratory in Analog Electronics: Changes to Address the Bologna Requirements.
IEEE Trans. Educ., 2008

Web mining based on Growing Hierarchical Self-Organizing Maps: Analysis of a real citizen web portal.
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
Steady-state and tracking analysis of a robust adaptive filter with low computational cost.
Signal Process., 2007

Weekly milk prediction on dairy goats using neural networks.
Neural Comput. Appl., 2007

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

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

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

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

2004
Profiled support vector machines for antisense oligonucleotide efficacy prediction.
BMC Bioinform., 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

Regularized RBF Networks for Hyperspectral Data Classification.
Proceedings of the Image Analysis and Recognition: International Conference, 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. Eng., 2003

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

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure.
Comput. Biol. Medicine, 2003

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

2000
Application of ARMA modeling to the improvement of weight estimations in fruit sorting and grading machinery.
Proceedings of the IEEE International Conference on Acoustics, 2000


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