List of works - Ana C Lorena

A Study on Class Noise Detection and Elimination

article

A Survey on Recommender Systems for News Data

scholarly article by Hugo L. Borges & Ana C Lorena published 2010 in Studies in Computational Intelligence

A review on the combination of binary classifiers in multiclass problems

article

A systematic review on keystroke dynamics

article

Advances in intelligent systems

Analysis of complexity indices for classification problems: Cancer gene expression data

article

Building binary-tree-based multiclass classifiers using separability measures

Clinician's road map to wavelet EEG as an Alzheimer's disease biomarker

scientific article published on 16 October 2013

Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines

Comparing machine learning classifiers in potential distribution modelling

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

Complexity measures of supervised classifications tasks: A case study for cancer gene expression data

article

Data complexity meta-features for regression problems

Does EEG Montage Influence Alzheimer′s Disease Electroclinic Diagnosis? ⬇️

scientific article published on May 2, 2011

EEG spectro-temporal modulation energy: a new feature for automated diagnosis of Alzheimer's disease

scientific article published in January 2011

EVALUATION FUNCTIONS FOR THE EVOLUTIONARY DESIGN OF MULTICLASS SUPPORT VECTOR MACHINES

Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data

article

Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms

Evolutionary neural networks applied to keystroke dynamics: Genetic and immune based

Evolutionary tuning of SVM parameter values in multiclass problems

Explaining instances in the health domain based on the exploration of a dataset's hardness embedding

scientific article published on 01 August 2024

Feature Selection via Pareto Multi-objective Genetic Algorithms

Investigation of Strategies for the Generation of Multiclass Support Vector Machines

Multi-objective Genetic Algorithm Evaluation in Feature Selection

Multiclass SVM Design and Parameter Selection with Genetic Algorithms

scholarly article published October 2006

Negative Selection with High-Dimensional Support for Keystroke Dynamics

article

Noisy Data Set Identification

On the Complexity of Gene Expression Classification Data Sets

article

Potential Distribution Modelling Using Machine Learning

scientific article published in 2008

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

scientific article

Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions

article

Tree Decomposition of Multiclass Problems

Use of Classification Algorithms in Noise Detection and Elimination

scholarly article by André L. B. Miranda et al published 2009 in Lecture Notes in Computer Science

Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets

article

List of works by Ana C Lorena

A Study on Class Noise Detection and Elimination

A Survey on Recommender Systems for News Data

A review on the combination of binary classifiers in multiclass problems

A systematic review on keystroke dynamics

Advances in intelligent systems

Analysis of complexity indices for classification problems: Cancer gene expression data

Building binary-tree-based multiclass classifiers using separability measures

Clinician's road map to wavelet EEG as an Alzheimer's disease biomarker

Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines

Comparing machine learning classifiers in potential distribution modelling

Complexity measures of supervised classifications tasks: A case study for cancer gene expression data

Data complexity meta-features for regression problems

Does EEG Montage Influence Alzheimer′s Disease Electroclinic Diagnosis? ⬇️

EEG spectro-temporal modulation energy: a new feature for automated diagnosis of Alzheimer's disease

EVALUATION FUNCTIONS FOR THE EVOLUTIONARY DESIGN OF MULTICLASS SUPPORT VECTOR MACHINES

Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data

Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms

Evolutionary neural networks applied to keystroke dynamics: Genetic and immune based

Evolutionary tuning of SVM parameter values in multiclass problems

Explaining instances in the health domain based on the exploration of a dataset's hardness embedding

Feature Selection via Pareto Multi-objective Genetic Algorithms

Investigation of Strategies for the Generation of Multiclass Support Vector Machines

Multi-objective Genetic Algorithm Evaluation in Feature Selection

Multiclass SVM Design and Parameter Selection with Genetic Algorithms

Negative Selection with High-Dimensional Support for Keystroke Dynamics

Noisy Data Set Identification

On the Complexity of Gene Expression Classification Data Sets

Potential Distribution Modelling Using Machine Learning

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

Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions

Tree Decomposition of Multiclass Problems

Use of Classification Algorithms in Noise Detection and Elimination

Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets

Using complexity measures to determine the structure of directed acyclic graphs in multiclass classification

evolutionary Design of Code-matrices for Multiclass Problems