Lista de obras - José David Martin-Guerrero

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

artículo científico publicado en 2017

A low-complexity fuzzy activation function for artificial neural networks.

artículo científico publicado en 2003

A new approach based on Machine Learning for predicting corneal curvature (K1) and astigmatism in patients with keratoconus after intracorneal ring implantation.

artículo científico publicado en 2014

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.

artículo científico publicado en 2015

Active learning for the optimal design of multinomial classification in physics

artículo científico publicado en 2022

Associated-Onset Symptoms and Post-COVID-19 Symptoms in Hospitalized COVID-19 Survivors Infected with Wuhan, Alpha or Delta SARS-CoV-2 Variant

artículo científico publicado en 2022

Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students

Dosage individualization of erythropoietin using a profile-dependent support vector regression.

artículo científico publicado en 2003

Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation.

artículo científico publicado en 2013

Optimization of anemia treatment in hemodialysis patients via reinforcement learning. ⬇️

artículo científico publicado en 2014

Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients

artículo científico publicado en 2016

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks.

artículo científico publicado en 2003

Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques.

artículo científico publicado en 2014

Profiled support vector machines for antisense oligonucleotide efficacy prediction

artículo científico publicado en 2004

Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites

artículo científico publicado en 2020

Supervised Quantum Learning without Measurements

artículo científico publicado en 2017

Use of Self-Organizing Maps for Balanced Scorecard analysis to monitor the performance of dialysis clinic chains

artículo científico publicado en 2011

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure.

artículo científico publicado en 2003

Lista de obras de José David Martin-Guerrero

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

A low-complexity fuzzy activation function for artificial neural networks.

A new approach based on Machine Learning for predicting corneal curvature (K1) and astigmatism in patients with keratoconus after intracorneal ring implantation.

A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis.

Active learning for the optimal design of multinomial classification in physics

Associated-Onset Symptoms and Post-COVID-19 Symptoms in Hospitalized COVID-19 Survivors Infected with Wuhan, Alpha or Delta SARS-CoV-2 Variant

Description and evaluation of an introductory course to Matlab for a heterogeneous group of university students

Dosage individualization of erythropoietin using a profile-dependent support vector regression.

Estimation of the elastic parameters of human liver biomechanical models by means of medical images and evolutionary computation.

Optimization of anemia treatment in hemodialysis patients via reinforcement learning. ⬇️

Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients

Prediction of cyclosporine dosage in patients after kidney transplantation using neural networks.

Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques.

Profiled support vector machines for antisense oligonucleotide efficacy prediction

Robust Conditional Independence maps of single-voxel Magnetic Resonance Spectra to elucidate associations between brain tumours and metabolites

Supervised Quantum Learning without Measurements

Use of Self-Organizing Maps for Balanced Scorecard analysis to monitor the performance of dialysis clinic chains

Use of neural networks for dosage individualisation of erythropoietin in patients with secondary anemia to chronic renal failure.