Lista de obras - Jaume Bacardit - Dominio Público Uruguay

A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors

artículo científico publicado en 2018

A knowledge integration strategy for the selection of a robust multi-stress biomarkers panel for Bacillus subtilis

artículo científico publicado en 2023

A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women.

artículo científico publicado en 2017

A mixed discrete-continuous attribute list representation for large scale classification domains

Analysis of mass spectrometry data from the secretome of an explant model of articular cartilage exposed to pro-inflammatory and anti-inflammatory stimuli using machine learning.

artículo científico publicado en 2013

Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology

artículo científico publicado en 2013

Automated alphabet reduction for protein datasets.

artículo científico publicado en 2009

Blood and immune development in human fetal bone marrow and Down syndrome

artículo científico publicado en 2021

Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features.

artículo científico publicado en 2012

Functional network construction in Arabidopsis using rule-based machine learning on large-scale data sets

artículo científico publicado en 2011

Functional networks inference from rule-based machine learning models.

artículo científico publicado en 2016

Improving the scalability of rule-based evolutionary learning

KEEL: a software tool to assess evolutionary algorithms for data mining problems

article by J. Alcalá-Fdez et al published 22 May 2008 in Soft Computing

Large-scale data mining using genetics-based machine learning

article

PREDICTION OF RESIDUE EXPOSURE AND CONTACT NUMBER FOR SIMPLIFIED HP LATTICE MODEL PROTEINS USING LEARNING CLASSIFIER SYSTEMS

Performance and efficiency of memetic Pittsburgh learning classifier systems

artículo científico publicado en 2009

Prediction of growth in grower-finisher pigs using recurrent neural networks

artículo científico publicado en 2022

Prediction of recursive convex hull class assignments for protein residues.

artículo científico publicado en 2008

Reduced neonatal mortality in Meishan piglets: a role for hepatic fatty acids?

artículo científico publicado en 2012

Single-cell multi-omics analysis of the immune response in COVID-19

artículo científico publicado en 2021

Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning-Based Cross-sectional Study of the UK Biobank Accelerometer Cohort

artículo científico publicado en 2021

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data

artículo científico publicado en 2012

WeFold: a coopetition for protein structure prediction

artículo científico publicado en 2014

Lista de obras de Jaume Bacardit

A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors

A knowledge integration strategy for the selection of a robust multi-stress biomarkers panel for Bacillus subtilis

A machine learning approach for the identification of new biomarkers for knee osteoarthritis development in overweight and obese women.

A mixed discrete-continuous attribute list representation for large scale classification domains

Analysis of mass spectrometry data from the secretome of an explant model of articular cartilage exposed to pro-inflammatory and anti-inflammatory stimuli using machine learning.

Application of machine learning to proteomics data: classification and biomarker identification in postgenomics biology

Automated alphabet reduction for protein datasets.

Blood and immune development in human fetal bone marrow and Down syndrome

Contact map prediction using a large-scale ensemble of rule sets and the fusion of multiple predicted structural features.

Functional network construction in Arabidopsis using rule-based machine learning on large-scale data sets

Functional networks inference from rule-based machine learning models.

Improving the scalability of rule-based evolutionary learning

KEEL: a software tool to assess evolutionary algorithms for data mining problems

Large-scale data mining using genetics-based machine learning

PREDICTION OF RESIDUE EXPOSURE AND CONTACT NUMBER FOR SIMPLIFIED HP LATTICE MODEL PROTEINS USING LEARNING CLASSIFIER SYSTEMS

Performance and efficiency of memetic Pittsburgh learning classifier systems

Prediction of growth in grower-finisher pigs using recurrent neural networks

Prediction of recursive convex hull class assignments for protein residues.

Reduced neonatal mortality in Meishan piglets: a role for hepatic fatty acids?

Single-cell multi-omics analysis of the immune response in COVID-19

Using Wearable Activity Trackers to Predict Type 2 Diabetes: Machine Learning-Based Cross-sectional Study of the UK Biobank Accelerometer Cohort

Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data

WeFold: a coopetition for protein structure prediction