Ana Carolina Lorena

133 papers B 15C 8Misc 6Journal 57Unranked 42
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explaining AutoClustering: Uncovering Meta-Feature Contribution in AutoML for Clustering.
CoRR
Matheus Camilo da Silva, Leonardo Arrighi, Ana Carolina Lorena, Sylvio Barbon Junior
2026 J jnl
Filtering Instances and Rejecting Predictions to Obtain Reliable Models in Healthcare.
Mach. Learn.
Maria Gabriela Valeriano, David Kohan Marzagão, Alfredo Montelongo, Carlos Roberto Veiga Kiffer, Natan Katz, Ana Carolina Lorena
2026 J jnl
Large Language Models for Missing Data Imputation: Understanding Behavior, Hallucination Effects, and Control Mechanisms.
CoRR
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Ana Carolina Lorena, Pedro Henriques Abreu
2025 J jnl
A Label Propagation Approach for Missing Data Imputation.
IEEE Access
Filipe Loyola Lopes, Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Miriam Seoane Santos, Pedro Henriques Abreu, Ana Carolina Lorena
2025 B conf
Beyond Filtering: Leveraging Instance Hardness for Data-Centric Machine Learning in Healthcare.
IJCNN
Maria Gabriela Valeriano, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena
2025 — conf
Classification with Reject Option: Building Meta-models to Predict Classification Error.
BRACIS (1)
Patricia S. M. Ueda, Maria Gabriela Valeriano, Arthur Dantas Mangussi, Ricardo B. C. Prudêncio, Ana Carolina Lorena
2025 Misc conf
Data Balancing for Mitigating Sampling Bias in Machine Learning.
SAC
Ronaldo Inocêncio Júnior, Márcio P. Basgalupp, Teresa Bernarda Ludermir, Ana Carolina Lorena
2025 — conf
Data Complexity and Instance Hardness Measures in Transferability Evaluation.
BRACIS (1)
Derick W. B. Rangel, Alfredo Antonio Alencar Exposito de Queiroz, Ana Carolina Lorena
2025 J jnl
Filtering instances and rejecting predictions to obtain reliable models in healthcare.
CoRR
Maria Gabriela Valeriano, David Kohan Marzagão, Alfredo Montelongo, Carlos Roberto Veiga Kiffer, Natan Katz, Ana Carolina Lorena
2025 Misc conf
Network-based instance hardness measures for classification problems.
SAC
Gustavo P. Torquette, Márcio P. Basgalupp, Teresa Bernarda Ludermir, Ana Carolina Lorena
2025 J jnl
Novel applications of item response theory for analysing data set complexity and benchmark selection.
Mach. Learn.
João Luiz Junho Pereira, Alfredo Antonio Alencar Exposito de Queiroz, Telmo de Menezes e Silva Filho, Ana Carolina Lorena, Rafael Gomes Mantovani, Gisele Lobo Pappa, Ricardo Bastos Cavalcante Prudêncio
2025 B conf
Optimizing view generation in classification datasets.
IJCNN
Victor Castro Nacif De Faria, Rafael M. O. Cruz, Robert Sabourin, Ana Carolina Lorena
2025 J jnl
Pycol: A Python package for dataset complexity measures.
Neurocomputing
Diogo Apóstolo, Miriam Seoane Santos, Ana Carolina Lorena, Pedro Henriques Abreu
2025 J jnl
Studying the robustness of data imputation methodologies against adversarial attacks.
Comput. Secur.
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Ana Carolina Lorena, Miriam Seoane Santos, Pedro Henriques Abreu
2025 J jnl
mdatagen: A python library for the artificial generation of missing data.
Neurocomputing
Arthur Dantas Mangussi, Miriam Seoane Santos, Filipe Loyola Lopes, Ricardo Cardoso Pereira, Ana Carolina Lorena, Pedro Henriques Abreu
2024 — conf
An Instance Level Analysis of Classification Difficulty for Unlabeled Data.
BRACIS (1)
Patricia S. M. Ueda, Adriano Rivolli, Ana Carolina Lorena
2024 — conf
Assessing Adversarial Effects of Noise in Missing Data Imputation.
BRACIS (1)
Arthur Dantas Mangussi, Ricardo Cardoso Pereira, Pedro Henriques Abreu, Ana Carolina Lorena
2024 B conf
Assessor Models for Explaining Instance Hardness in Classification Problems.
IJCNN
Ricardo B. C. Prudêncio, Ana Carolina Lorena, Telmo de Menezes e Silva Filho, Patrícia Drapal, Maria Gabriela Valeriano
2024 — conf
Explaining instances in the health domain based on the exploration of a dataset's hardness embedding.
GECCO Companion
Maria Gabriela Valeriano, João Luiz Junho Pereira, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena
2024 J jnl
Golden lichtenberg algorithm: a fibonacci sequence approach applied to feature selection.
Neural Comput. Appl.
João Luiz Junho Pereira, Matheus Brendon Francisco, Benedict Jun Ma, Guilherme Ferreira Gomes, Ana Carolina Lorena
2024 B conf
Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines.
IJCNN
Eduardo Vargas Ferreira, Ricardo Bastos Cavalcante Prudêncio, Ana Carolina Lorena
2024 J jnl
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation.
Data Min. Knowl. Discov.
João Luiz Junho Pereira, Kate Smith-Miles, Mario Andrés Muñoz, Ana Carolina Lorena
2024 J jnl
Trusting My Predictions: On the Value of Instance-Level Analysis.
ACM Comput. Surv.
Ana Carolina Lorena, Pedro Yuri Arbs Paiva, Ricardo B. C. Prudêncio
2024 J jnl
Understanding the performance of machine learning models from data- to patient-level.
ACM J. Data Inf. Qual.
Maria Gabriela Valeriano, Ana Matran-Fernandez, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena
2023 — conf
A Framework for Characterizing What Makes an Instance Hard to Classify.
BRACIS (2)
Maria Gabriela Valeriano, Pedro Yuri Arbs Paiva, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena
2023 C conf
Complexity-Driven Sampling for Bagging.
IDEAL
Carmen Lancho, Marcilio C. P. de Souto, Ana Carolina Lorena, Isaac Martín de Diego
2023 B ed.
Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings
DS
Albert Bifet, Ana Carolina Lorena, Rita P. Ribeiro, João Gama, Pedro H. Abreu
2023 — conf
Machine Teaching: An Explainable Machine Learning Model for Individualized Education.
BRACIS (1)
Eduardo Vargas Ferreira, Ana Carolina Lorena
2023 Misc conf
Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection.
HAIS
Fernanda A. Melo, André C. P. L. F. de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia
2022 J jnl
Characterizing instance hardness in classification and regression problems.
CoRR
Gustavo P. Torquette, Victor S. Nunes, Pedro Yuri Arbs Paiva, Lourenço B. C. Neto, Ana Carolina Lorena
2022 J jnl
Community-based anomaly detection using spectral graph filtering.
Appl. Soft Comput.
Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento
2022 J jnl
Community-based anomaly detection using spectral graph filtering.
CoRR
Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento
2022 — conf
Generating Diverse Clustering Datasets with Targeted Characteristics.
BRACIS (1)
Luiz Henrique dos Santos Fernandes, Kate Smith-Miles, Ana Carolina Lorena
2022 B conf
Let the data speak: analysing data from multiple health centers of the São Paulo metropolitan area for COVID-19 clinical deterioration prediction.
CCGRID
Maria Gabriela Valeriano, Carlos Roberto Veiga Kiffer, Giane Higino, Paloma Zanão, Dulce A. Barbosa, Patrícia A. Moreira, Paulo Caleb J. L. Santos, Renato Grinbaum, Ana Carolina Lorena
2022 J jnl
Relating instance hardness to classification performance in a dataset: a visual approach.
Mach. Learn.
Pedro Yuri Arbs Paiva, Camila Castro Moreno, Kate Smith-Miles, Maria Gabriela Valeriano, Ana Carolina Lorena
2021 J jnl
A Multi-Learning Training Approach for Distinguishing Low and High Risk Cancer Patients.
IEEE Access
Lucas Venezian Povoa, Uriel Cairê Balan Calvi, Ana Carolina Lorena, Carlos Henrique Costa Ribeiro, Israel T. da Silva
2021 — conf
A Study of the Correlation of Metafeatures Used for Metalearning.
IWANN (1)
Adriano Rivolli, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2021 J jnl
An Instance Space Analysis of Regression Problems.
ACM Trans. Knowl. Discov. Data
Mario Andrés Muñoz, Tao Yan, Matheus R. Leal, Kate Smith-Miles, Ana Carolina Lorena, Gisele L. Pappa, Rômulo Madureira Rodrigues
2021 J jnl
Assessing the data complexity of imbalanced datasets.
Inf. Sci.
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2021 Misc conf
Automatic recovering the number
SAC
Hério Sousa, Marcilio C. P. de Souto, Reginaldo Massanobu Kuroshu, Ana Carolina Lorena
2021 — conf
Evaluating Data Characterization Measures for Clustering Problems in Meta-learning.
ICONIP (1)
Luiz Henrique dos Santos Fernandes, Marcilio C. P. de Souto, Ana Carolina Lorena
2021 J jnl
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis.
CoRR
Pedro Yuri Arbs Paiva, Kate Smith-Miles, Maria Gabriela Valeriano, Ana Carolina Lorena
2021 J jnl
Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis.
Algorithms
Luiz Henrique dos Santos Fernandes, Ana Carolina Lorena, Kate Smith-Miles
2021 J jnl
Using Machine Learning to support health system planning during the Covid-19 pandemic: a case study using data from São José dos Campos (Brazil).
CLEI Electron. J.
Leila Abuabara, Maria Gabriela Valeriano, Carlos Roberto Veiga Kiffer, Horacio Hideki Yanasse, Ana Carolina Lorena
2020 J jnl
Boosting meta-learning with simulated data complexity measures.
Intell. Data Anal.
Luís Paulo F. Garcia, Adriano Rivolli, Edesio Alcobaça, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2020 — conf
Measuring Instance Hardness Using Data Complexity Measures.
BRACIS (2)
José L. M. Arruda, Ricardo B. C. Prudêncio, Ana Carolina Lorena
2020 — conf
Monitoring Night Skies with Deep Learning.
ICONIP (4)
Yuri Galindo, Marcelo De Cicco, Marcos G. Quiles, Ana Carolina Lorena
2019 B conf
Data complexity measures in feature selection.
IJCNN
Lucas Chesini Okimoto, Ana Carolina Lorena
2019 — conf
Exploring Artificial Neural Networks: A Data Complexity Perspective.
BRACIS
Lucas P. Zorzi, Ana Carolina Lorena
2019 J jnl
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity.
ACM Comput. Surv.
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho
2019 J jnl
New label noise injection methods for the evaluation of noise filters.
Knowl. Based Syst.
Luís Paulo F. Garcia, Jens Lehmann, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2018 J jnl
Adaptive Biometric Systems using Ensembles.
IEEE Intell. Syst.
Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2018 B conf
Automatic Design of Evolutionary Algorithms Based on Entropy Triggers.
CEC
Guilherme Ribeiroda Silva, Márcio P. Basgalupp, Ana Carolina Lorena
2018 B conf
Classifier Recommendation Using Data Complexity Measures.
ICPR
Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho
2018 B conf
Data Complexity Measures for Imbalanced Classification Tasks.
IJCNN
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2018 J jnl
Data complexity meta-features for regression problems.
Mach. Learn.
Ana Carolina Lorena, Aron I. Maciel, Péricles Barbosa C. de Miranda, Ivan G. Costa, Ricardo B. C. Prudêncio
2018 — conf
Gene Essentiality Prediction Using Topological Features From Metabolic Networks.
BRACIS
James Shiniti Nagai, Hério Sousa, Alexandre Hild Aono, Ana Carolina Lorena, Reginaldo Massanobu Kuroshu
2018 J jnl
How Complex is your classification problem? A survey on measuring classification complexity.
CoRR
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho
2018 J jnl
Interdisciplinary Data Analysis.
New Gener. Comput.
Ana Carolina Lorena, Anne Magály de Paula Canuto
2018 B conf
Using Complexity Measures to Evolve Synthetic Classification Datasets.
IJCNN
Vinícius Veloso de Melo, Ana Carolina Lorena
2018 J jnl
Using complexity measures to determine the structure of directed acyclic graphs in multiclass classification.
Appl. Soft Comput.
Thaise M. Quiterio, Ana Carolina Lorena
2017 J jnl
Adaptive algorithms applied to accelerometer biometrics in a data stream context.
Intell. Data Anal.
Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2017 — conf
Complexity Measures Effectiveness in Feature Selection.
BRACIS
Lucas Chesini Okimoto, Ricardo Manhães Savii, Ana Carolina Lorena
2017 J jnl
Feature Selection via Pareto Multi-objective Genetic Algorithms.
Appl. Artif. Intell.
Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee
2017 — conf
GEEK: Grammatical Evolution for Automatically Evolving Kernel Functions.
TrustCom/BigDataSE/ICESS
Arua De M. Sousa, Ana Carolina Lorena, Márcio P. Basgalupp
2017 J jnl
Score normalization applied to adaptive biometric systems.
Comput. Secur.
Paulo Henrique Pisani, Norman Poh, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2017 J jnl
The NoiseFiltersR Package: Label Noise Preprocessing in R.
R J.
Pablo Morales-Álvarez, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
2016 — conf
Determining the Structure of Decision Directed Acyclic Graphs for Multiclass Classification Problems.
BRACIS
Thaise M. Quiterio, Ana Carolina Lorena
2016 J jnl
Enhanced template update: Application to keystroke dynamics.
Comput. Secur.
Paulo Henrique Pisani, Romain Giot, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2016 J jnl
Ensembles of label noise filters: a ranking approach.
Data Min. Knowl. Discov.
Luís Paulo F. Garcia, Ana Carolina Lorena, Stan Matwin, André Carlos Ponce de Leon Ferreira de Carvalho
2016 B conf
Measuring the complexity of regression problems.
IJCNN
Aron I. Maciel, Ivan G. Costa, Ana Carolina Lorena
2016 J jnl
Noise detection in the meta-learning level.
Neurocomputing
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2015 — conf
Adapting Noise Filters for Ranking.
BRACIS
Ana Carolina Lorena, Luís Paulo Faina Garcia, André C. P. L. F. de Carvalho
2015 J jnl
Adaptive Positive Selection for Keystroke Dynamics.
J. Intell. Robotic Syst.
Paulo Henrique Pisani, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2015 B conf
Adaptive approaches for keystroke dynamics.
IJCNN
Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2015 J jnl
Effect of label noise in the complexity of classification problems.
Neurocomputing
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2015 J jnl
Emphasizing typing signature in keystroke dynamics using immune algorithms.
Appl. Soft Comput.
Paulo Henrique Pisani, Ana Carolina Lorena
2015 — conf
Ensemble of Adaptive Algorithms for Keystroke Dynamics.
BRACIS
Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2015 J jnl
Filter Feature Selection for One-Class Classification.
J. Intell. Robotic Syst.
Luiz Henrique Nogueira Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena
2015 — conf
On Measuring the Complexity of Classification Problems.
ICONIP (1)
Ana Carolina Lorena, Marcílio Carlos Pereira de Souto
2015 — conf
Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers.
ICONIP (2)
Jussara Dias, Marcos G. Quiles, Ana Carolina Lorena
2015 J jnl
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems.
Knowl. Based Syst.
Luís Paulo F. Garcia, José A. Sáez, Julián Luengo, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
2014 — conf
Adaptive Algorithms in Accelerometer Biometrics.
BRACIS
Paulo Henrique Pisani, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2014 J jnl
Advances in intelligent systems.
Neurocomputing
Teresa Bernarda Ludermir, Cleber Zanchettin, Ana Carolina Lorena
2014 — conf
Clustering Search Applied to Rank Aggregation.
BRACIS
Luiz Henrique Nogueira Lorena, Ana Carolina Lorena, Luiz Antonio Nogueira Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2013 J jnl
A systematic review on keystroke dynamics.
J. Braz. Comput. Soc.
Paulo Henrique Pisani, Ana Carolina Lorena
2013 Misc conf
Noisy Data Set Identification.
HAIS
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2012 — ed.
2012 Brazilian Symposium on Neural Networks, Curitiba, Paraná, Brazil, October 20-25, 2012
SBRN
Ana Carolina Lorena, Carlos Eduardo Thomaz, Aurora Trinidad Ramirez Pozo
2012 — conf
A Study on Class Noise Detection and Elimination.
SBRN
Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
2012 J jnl
Analysis of complexity indices for classification problems: Cancer gene expression data.
Neurocomputing
Ana Carolina Lorena, Ivan G. Costa, Newton Spolaôr, Marcílio Carlos Pereira de Souto
2012 J jnl
Comparison of Feature Vectors in Keystroke Dynamics: A Novelty Detection Approach.
Int. J. Nat. Comput. Res.
Paulo Henrique Pisani, Ana Carolina Lorena
2012 B conf
Evolutionary neural networks applied to keystroke dynamics: Genetic and immune based.
IEEE Congress on Evolutionary Computation
Paulo Henrique Pisani, Ana Carolina Lorena
2012 — conf
Negative Selection with High-Dimensional Support for Keystroke Dynamics.
SBRN
Paulo Henrique Pisani, Ana Carolina Lorena
2011 J jnl
Comparing machine learning classifiers in potential distribution modelling.
Expert Syst. Appl.
Ana Carolina Lorena, Luís F. O. Jacintho, Marinez Ferreira de Siqueira, Renato De Giovanni, Lúcia G. Lohmann, André Carlos Ponce de Leon Ferreira de Carvalho, Missae Yamamoto
2011 — conf
EEG spectro-temporal modulation energy: A new feature for automated diagnosis of Alzheimer's disease.
EMBC
Lucas Trambaiolli, Tiago H. Falk, Francisco J. Fraga, Renato Anghinah, Ana Carolina Lorena
2011 C conf
Multi-objective Genetic Algorithm Evaluation in Feature Selection.
EMO
Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee
2010 — ch.
A Survey on Recommender Systems for News Data.
Smart Information and Knowledge Management
Hugo L. Borges, Ana Carolina Lorena
2010 J jnl
Building binary-tree-based multiclass classifiers using separability measures.
Neurocomputing
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2010 B conf
Complexity measures of supervised classifications tasks: A case study for cancer gene expression data.
IJCNN
Marcílio Carlos Pereira de Souto, Ana Carolina Lorena, Newton Spolaôr, Ivan Gesteira Costa
2010 — conf
On the Complexity of Gene Marker Selection.
SBRN
Ana Carolina Lorena, Newton Spolaôr, Ivan G. Costa, Marcilio C. P. de Souto
2010 — conf
Segmentation and Classification of Histological Images - Application of Graph Analysis and Machine Learning Methods.
SIBGRAPI
Francisco de Assis Zampirolli, Beatriz Stransky, Ana Carolina Lorena, Fábio Luis de Melo Paulon
2010 — conf
Use of Multiobjective Genetic Algorithms in Feature Selection.
SBRN
Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee
2009 J jnl
Evaluation Functions for the Evolutionary Design of Multiclass Support Vector Machines.
Int. J. Comput. Intell. Appl.
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2009 J jnl
Pre-processing for noise detection in gene expression classification data.
J. Braz. Comput. Soc.
Giampaolo L. Libralon, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena
2009 Misc conf
Use of Classification Algorithms in Noise Detection and Elimination.
HAIS
André L. B. Miranda, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
2009 — conf
Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets.
BSB
Ivan G. Costa, Ana Carolina Lorena, Liciana R. M. P. y Peres, Marcílio Carlos Pereira de Souto
2008 J jnl
A review on the combination of binary classifiers in multiclass problems.
Artif. Intell. Rev.
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
2008 — conf
Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data.
ICONIP (1)
Giampaolo L. Libralon, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena
2008 J jnl
Estratégias para a Combinação de Classificadores Binários em Soluções Multiclasses.
RITA
Ana Carolina Lorena, André C. P. L. F. de Carvalho
2008 — conf
Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms.
BSB
Willian Zalewski, Huei Diana Lee, Adewole M. J. F. Caetano, Ana Carolina Lorena, André Gustavo Maletzke, João José Fagundes, Cláudio Saddy Rodrigues Coy, Feng Chung Wu
2008 J jnl
Evolutionary tuning of SVM parameter values in multiclass problems.
Neurocomputing
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2008 — ch.
Investigation of Strategies for the Generation of Multiclass Support Vector Machines.
New Challenges in Applied Intelligence Technologies
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2008 C conf
On the Complexity of Gene Expression Classification Data Sets.
HIS
Ana Carolina Lorena, Ivan G. Costa, Marcílio Carlos Pereira de Souto
2008 C conf
Potential Distribution Modelling Using Machine Learning.
IEA/AIE
Ana Carolina Lorena, Marinez Ferreira de Siqueira, Renato De Giovanni, André Carlos Ponce de Leon Ferreira de Carvalho, Ronaldo C. Prati
2008 — conf
Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions.
BSB
Eduardo P. Costa, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Alex Alves Freitas
2008 — conf
Tree Decomposition of Multiclass Problems.
SBRN
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2008 — ch.
evolutionary Design of Code-matrices for Multiclass Problems.
Soft Computing for Knowledge Discovery and Data Mining
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2007 — conf
Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees.
BSB
Eduardo P. Costa, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Nicholas Holden
2007 C conf
Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines.
HIS
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2007 J jnl
Evolutionary design of multiclass support vector machines.
J. Intell. Fuzzy Syst.
Ana Carolina Lorena, André C. P. L. F. de Carvalho
2007 J jnl
Protein cellular localization prediction with Support Vector Machines and Decision Trees.
Comput. Biol. Medicine
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2007 J jnl
Uma Introdução às Support Vector Machines.
RITA
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2006 — —
Investigation of strategies for the generation of multiclass support vector machines.
Ana Carolina Lorena
2006 — conf
Multiclass SVM Design and Parameter Selection with Genetic Algorithms.
SBRN
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2005 C conf
Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation.
IEA/AIE
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2005 — conf
Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees.
BSB
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2005 C conf
Support Vector Machines Applied to White Blood Cell Recognition.
HIS
Daniela Mayumi Ushizima, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2004 — conf
An Hybrid GA/SVM Approach for Multiclass Classification with Directed Acyclic Graphs.
SBIA
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2004 — conf
Comparing Techniques for Multiclass Classification Using Binary SVM Predictors.
MICAI
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2003 C conf
Human Splice Site Identification with Multiclass Support Vector Machines and Bagging.
ICANN
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
2002 — conf
Aprendizado de Máquina Aplicado ao Estudo de Marcadores Moleculares para Produção de Carne Bovina.
WOB
Silvia H. M. G. da Silva, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Danielle D. Tambasco, Luciana C. A. Regitano
2002 — conf
Splice Junction Recognition using Machine Learning Techniques.
WOB
Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard
2002 — conf
The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem.
SBRN
Ana Carolina Lorena, Gustavo E. A. P. A. Batista, André Carlos Ponce de Leon Ferreira de Carvalho, Maria Carolina Monard