Lista de obras - Andre de Carvalho - Dominio Público Uruguay

A Beam Search Based Decision Tree Induction Algorithm

A Cluster-Based Prototype Reduction for Online Classification

A Forest Representation for Evolutionary Algorithms Applied to Network Design

A General Introduction to Data Analytics

A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking

A Novel Decomposing Model With Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs

artículo científico publicado en 2020

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 Tutorial on Hierarchical Classification with Applications in Bioinformatics

A Tutorial on Multi-label Classification Techniques

A bottom-up oblique 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 meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

artículo científico publicado en 2019

A new data characterization for selecting clustering algorithms using meta-learning

A review on the combination of binary classifiers in multiclass problems

article

Adaptive Positive Selection for Keystroke Dynamics

article

Adaptive approaches for keystroke dynamics

Algoritmos genéticos em problemas de classificação

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms ⬇️

artículo científico publicado el 8 de agosto de 2013

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

artículo científico publicado en 2012

BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria

artículo científico publicado en 2022

Braid forcing and star-shaped train tracks

Building binary-tree-based multiclass classifiers using separability measures

CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems

artículo científico publicado en 2020

Characterizing the Impact of Social Inequality on COVID-19 Propagation in Developing Countries

artículo científico publicado en 2020

Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm

Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques

scholarly article by Ricardo Cerri et al published 2009 in Lecture Notes in Computer Science

Comparing machine learning classifiers in potential distribution modelling

scholarly article by Ana C Lorena et al published May 2011 in Expert Systems with Applications

Comparison of Active Learning Strategies and Proposal of a Multiclass Hypothesis Space Search

Conclusions

Credit Card Users' Data Mining

Data clustering based on complex network community detection

Data stream clustering

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

Decision-Tree Induction

Editorial: Special Issue CISIS13-IGPL

artículo científico publicado en 2015

Editorial: Special issue HAIS12-IGPL

artículo científico publicado en 2015

Effectiveness of Random Search in SVM hyper-parameter tuning

Effects of Random Sampling on SVM Hyper-parameter Tuning

Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification

article

Enhancing multilabel classification for food truck recommendation

Ensembles of label noise filters: a ranking approach

Evaluation of noise reduction techniques in the splice junction recognition problem

Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data

article

Evolutionary Algorithms and Hyper-Heuristics

scholarly article published 2015

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

article

Evolutionary computing in recommender systems: a review of recent research

article

Evolutionary model tree induction

Evolutionary tuning of SVM parameter values in multiclass problems

Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields

Feature extraction approaches for biological sequences: a comparative study of mathematical features

artículo científico publicado en 2021

Gene Selection Using Genetic Algorithms

article

Genetic Clustering for Data Mining

article

Hierarchical Multilabel Protein Function Prediction Using Local Neural Networks

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

How to prune a horseshoe

Hybrid intelligent algorithms and applications

scholarly article by Emilio Corchado et al published July 2010 in Information Sciences

Hyper-Parameter Tuning of a Decision Tree Induction Algorithm

Identificação De Ruído Em Dados De Expressão Gênica

Introduction

Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification

Investigation of Strategies for the Generation of Multiclass Support Vector Machines

LEGAL-tree

Localização de Faltas em Linhas de Transmissão de Energia Elétrica Utilizando Reconhecimento de Padrões

Looking for exceptions on knowledge rules induced from HIV cleavage data set

article

Machine learning unveils composition-property relationships in chalcogenide glasses

artículo científico publicado en 2022

MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors

artículo científico publicado en 2021

Meta-features for meta-learning

artículo científico publicado en 2022

Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features

Metalearning for Gene Expression Data Classification

article

Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation

Modelagem De Comportamento De Jogadores Por Meio De Agrupamento Online E Detecção De Novidades

Multi-Objective Clustering Ensemble

Multi-Objective Clustering Ensemble with Prior Knowledge

Multiclass SVM Model Selection Using Particle Swarm Optimization

article

Noisy Data Set Identification

Novelty detection in data streams

article

On period minimal pseudo-Anosov braids

PVis — Partitions' visualizer: Extracting knowledge by visualizing a collection of partitions

scholarly article published July 2014

Paper surfaces and dynamical limits

artículo científico publicado en 2010

Pixel Clustering by Adaptive Pixel Moving and Chaotic Synchronization

artículo científico publicado en 2004

Potential Distribution Modelling Using Machine Learning

artículo científico publicado en 2008

Predicting execution time of machine learning tasks using metalearning

scholarly article published December 2011

Predicting glass transition temperatures using neural networks

Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions

Protein cellular localization prediction with Support Vector Machines and Decision Trees.

artículo científico publicado en 2006

Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

artículo científico publicado en 2016

Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers

scholarly article by Tiago Cunha et al published 2017 in Lecture Notes in Computer Science

Reconstructing commuters network using machine learning and urban indicators

artículo científico publicado en 2019

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

artículo científico publicado en 2016

Riemann surfaces out of paper

article

SPECIAL ISSUE SOCO13-JAL

artículo científico publicado en 2016

Selecting Collaborative Filtering Algorithms Using Metalearning

scholarly article by Tiago Cunha et al published 2016 in Lecture Notes in Computer Science

Software effort prediction

scholarly article published 2013

Special issue HAIS 2012: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

artículo científico publicado en 2015

Special issue HAIS 2014: Recent advancements in hybrid artificial intelligence systems and its application to real-world problems

artículo científico publicado en 2019

Special issue SOCO 2014: Recent advancements in soft computing and its application in industrial and environmental problems

artículo científico publicado en 2018

Support vector machines applied to white blood cell recognition

Support vector machines for novel class detection in Bioinformatics

scientific article published on 30 September 2005

The Brazilian Symposium on Neural Networks (SBRN’04)

article

The Forcing Relation for Horseshoe Braid Types

The Use of Autonomous UAVs to Improve Pesticide Application in Crop Fields

article published in 2016

The discriminant power of RNA features for pre-miRNA recognition

artículo científico publicado en 2014

The influence of noisy patterns on the performance of learning methods in the splice junction recognition problem

Tree Decomposition of Multiclass Problems

Unimodal generalized pseudo-Anosov maps

article

Unsupervised Domain Adaptation for Human Activity Recognition

Unsupervised density-based behavior change detection in data streams

Using Genetic Algorithms to Improve Prediction of Execution Times of ML Tasks

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems

Lista de obras de Andre de Carvalho

A Beam Search Based Decision Tree Induction Algorithm

A Cluster-Based Prototype Reduction for Online Classification

A Forest Representation for Evolutionary Algorithms Applied to Network Design

A General Introduction to Data Analytics

A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking

A Novel Decomposing Model With Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs

A Survey of Evolutionary Algorithms for Decision-Tree Induction

A Tutorial on Hierarchical Classification with Applications in Bioinformatics

A Tutorial on Multi-label Classification Techniques

A bottom-up oblique 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 meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

A new data characterization for selecting clustering algorithms using meta-learning

A review on the combination of binary classifiers in multiclass problems

Adaptive Positive Selection for Keystroke Dynamics

Adaptive approaches for keystroke dynamics

Algoritmos genéticos em problemas de classificação

Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms ⬇️

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

BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria

Braid forcing and star-shaped train tracks

Building binary-tree-based multiclass classifiers using separability measures

CRISPRcasIdentifier: Machine learning for accurate identification and classification of CRISPR-Cas systems

Characterizing the Impact of Social Inequality on COVID-19 Propagation in Developing Countries

Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm

Comparing Methods for Multilabel Classification of Proteins Using Machine Learning Techniques

Comparing machine learning classifiers in potential distribution modelling

Comparison of Active Learning Strategies and Proposal of a Multiclass Hypothesis Space Search

Conclusions

Credit Card Users' Data Mining

Credit Card Users' Data Mining

Data clustering based on complex network community detection

Data stream clustering

Decision-Tree Induction

Editorial: Special Issue CISIS13-IGPL

Editorial: Special issue HAIS12-IGPL

Effectiveness of Random Search in SVM hyper-parameter tuning

Effects of Random Sampling on SVM Hyper-parameter Tuning

Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification

Enhancing multilabel classification for food truck recommendation

Ensembles of label noise filters: a ranking approach

Evaluation of noise reduction techniques in the splice junction recognition problem

Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data

Evolutionary Algorithms and Hyper-Heuristics

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

Evolutionary computing in recommender systems: a review of recent research

Evolutionary model tree induction

Evolutionary tuning of SVM parameter values in multiclass problems

Exploiting Evolution on UAV Control Rules for Spraying Pesticides on Crop Fields

Feature extraction approaches for biological sequences: a comparative study of mathematical features

Gene Selection Using Genetic Algorithms

Genetic Clustering for Data Mining

Hierarchical Multilabel Protein Function Prediction Using Local Neural Networks

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

How to prune a horseshoe

Hybrid intelligent algorithms and applications

Hyper-Parameter Tuning of a Decision Tree Induction Algorithm

Identificação De Ruído Em Dados De Expressão Gênica

Introduction

Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification

Investigation of Strategies for the Generation of Multiclass Support Vector Machines

LEGAL-tree

Localização de Faltas em Linhas de Transmissão de Energia Elétrica Utilizando Reconhecimento de Padrões

Looking for exceptions on knowledge rules induced from HIV cleavage data set

Machine learning unveils composition-property relationships in chalcogenide glasses

MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors

Meta-features for meta-learning

Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features

Metalearning for Gene Expression Data Classification

Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation

Modelagem De Comportamento De Jogadores Por Meio De Agrupamento Online E Detecção De Novidades

Modelagem De Comportamento De Jogadores Por Meio De Agrupamento Online E Detecção De Novidades

Multi-Objective Clustering Ensemble

Multi-Objective Clustering Ensemble with Prior Knowledge

Multiclass SVM Model Selection Using Particle Swarm Optimization

Noisy Data Set Identification

Novelty detection in data streams