List of works - Rodrigo C Barros

A Survey of Evolutionary Algorithms for Decision-Tree Induction

scholarly article by Rodrigo Coelho Barros et al published May 2012 in IEEE Transactions on Systems, Man and Cybernetics, Part C: Applications and Reviews

A bottom-up oblique decision tree induction algorithm

A clustering-based decision tree induction algorithm

A genetic algorithm for Hierarchical Multi-Label Classification

A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules

A grammatical evolution approach for software effort estimation

A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms

scholarly article published 2012

Automatic design of decision-tree algorithms with evolutionary algorithms

scientific article

Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data.

scientific article

Clustering molecular dynamics trajectories for optimizing docking experiments.

scientific article published on 22 March 2015

Conclusions

Data stream clustering

article by Jonathan A. Silva et al published 1 October 2013 in ACM Computing Surveys

Decision-Tree Induction

Evolutionary Algorithms and Hyper-Heuristics

scholarly article published 2015

Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets

article

Evolutionary model tree induction

Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions

article

Hierarchical classification of Gene Ontology-based protein functions with neural networks

article

Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks

Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters

Introduction

LEGAL-tree

Lexicographic multi-objective evolutionary induction of decision trees

article published in 2009

Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors

Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions

Reduction strategies for hierarchical multi-label classification in protein function prediction

scientific article

Software effort prediction

scholarly article published 2013

Towards the automatic design of decision tree induction algorithms

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

scientific article published on 19 March 2019

List of works by Rodrigo C Barros

A Survey of Evolutionary Algorithms for Decision-Tree Induction

A bottom-up oblique decision tree induction algorithm

A clustering-based decision tree induction algorithm

A genetic algorithm for Hierarchical Multi-Label Classification

A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules

A grammatical evolution approach for software effort estimation

A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms

Automatic design of decision-tree algorithms with evolutionary algorithms

Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data.

Clustering molecular dynamics trajectories for optimizing docking experiments.

Conclusions

Data stream clustering

Decision-Tree Induction

Evolutionary Algorithms and Hyper-Heuristics

Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets

Evolutionary model tree induction

Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions

Hierarchical classification of Gene Ontology-based protein functions with neural networks

Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks

Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters

Introduction

LEGAL-tree

Lexicographic multi-objective evolutionary induction of decision trees

Neural Networks for Hierarchical Classification of G-Protein Coupled Receptors

Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions

Reduction strategies for hierarchical multi-label classification in protein function prediction

Software effort prediction

Towards the automatic design of decision tree induction algorithms

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling