Ana Carolina Lorena

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 60

Top Venues

University of São Paulo, Brazil (PHD)

Education History

University of São Paulo, Brazil

PHD

Publications

Ana Carolina Lorena, Pedro Yuri Arbs Paiva, Ricardo B. C. Prudêncio
Trusting My Predictions: On the Value of Instance-Level Analysis. ACM Comput. Surv. 56 (7) (2024)
João Luiz Junho Pereira, Kate Smith-Miles, Mario Andrés Muñoz, Ana Carolina Lorena
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation. Data Min. Knowl. Discov. 38 (2) (2024)
Maria Gabriela Valeriano, João Luiz Junho Pereira, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena
Explaining instances in the health domain based on the exploration of a dataset's hardness embedding. GECCO Companion (2024)
Eduardo Vargas Ferreira, Ana Carolina Lorena
Machine Teaching: An Explainable Machine Learning Model for Individualized Education. BRACIS (1) (2023)
Carmen Lancho, Marcilio C. P. de Souto, Ana Carolina Lorena, Isaac Martín de Diego
Complexity-Driven Sampling for Bagging. IDEAL (2023)
Fernanda A. Melo, André C. P. L. F. de Carvalho, Ana Carolina Lorena, Luís Paulo F. Garcia
Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection. HAIS (2023)
Maria Gabriela Valeriano, Pedro Yuri Arbs Paiva, Carlos Roberto Veiga Kiffer, Ana Carolina Lorena
A Framework for Characterizing What Makes an Instance Hard to Classify. BRACIS (2) (2023)
Pedro Yuri Arbs Paiva, Camila Castro Moreno, Kate Smith-Miles, Maria Gabriela Valeriano, Ana Carolina Lorena
Relating instance hardness to classification performance in a dataset: a visual approach. Mach. Learn. 111 (8) (2022)
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
Let the data speak: analysing data from multiple health centers of the São Paulo metropolitan area for COVID-19 clinical deterioration prediction. CCGRID (2022)
Gustavo P. Torquette, Victor S. Nunes, Pedro Yuri Arbs Paiva, Lourenço B. C. Neto, Ana Carolina Lorena
Characterizing instance hardness in classification and regression problems. CoRR (2022)
Luiz Henrique dos Santos Fernandes, Kate Smith-Miles, Ana Carolina Lorena
Generating Diverse Clustering Datasets with Targeted Characteristics. BRACIS (1) (2022)
Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento
Community-based anomaly detection using spectral graph filtering. CoRR (2022)
Rodrigo Francisquini, Ana Carolina Lorena, Mariá C. V. Nascimento
Community-based anomaly detection using spectral graph filtering. Appl. Soft Comput. 118 (2022)
Adriano Rivolli, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
A Study of the Correlation of Metafeatures Used for Metalearning. IWANN (1) (2021)
Lucas Venezian Povoa, Uriel Cairê Balan Calvi, Ana Carolina Lorena, Carlos Henrique Costa Ribeiro, Israel T. da Silva
A Multi-Learning Training Approach for Distinguishing Low and High Risk Cancer Patients. IEEE Access 9 (2021)
Mario Andrés Muñoz, Tao Yan, Matheus R. Leal, Kate Smith-Miles, Ana Carolina Lorena, Gisele L. Pappa, Rômulo Madureira Rodrigues
An Instance Space Analysis of Regression Problems. ACM Trans. Knowl. Discov. Data 15 (2) (2021)
Luiz Henrique dos Santos Fernandes, Marcilio C. P. de Souto, Ana Carolina Lorena
Evaluating Data Characterization Measures for Clustering Problems in Meta-learning. ICONIP (1) (2021)
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Assessing the data complexity of imbalanced datasets. Inf. Sci. 553 (2021)
Hério Sousa, Marcilio C. P. de Souto, Reginaldo Massanobu Kuroshu, Ana Carolina Lorena
of clusters in the data by active query selection. SAC (2021)
Pedro Yuri Arbs Paiva, Kate Smith-Miles, Maria Gabriela Valeriano, Ana Carolina Lorena
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis. CoRR (2021)
Leila Abuabara, Maria Gabriela Valeriano, Carlos Roberto Veiga Kiffer, Horacio Hideki Yanasse, Ana Carolina Lorena
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. 24 (3) (2021)
Luiz Henrique dos Santos Fernandes, Ana Carolina Lorena, Kate Smith-Miles
Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis. Algorithms 14 (3) (2021)
Luís Paulo F. Garcia, Adriano Rivolli, Edesio Alcobaça, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Boosting meta-learning with simulated data complexity measures. Intell. Data Anal. 24 (5) (2020)
Yuri Galindo, Marcelo De Cicco, Marcos G. Quiles, Ana Carolina Lorena
Monitoring Night Skies with Deep Learning. ICONIP (4) (2020)
José L. M. Arruda, Ricardo B. C. Prudêncio, Ana Carolina Lorena
Measuring Instance Hardness Using Data Complexity Measures. BRACIS (2) (2020)
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcílio Carlos Pereira de Souto, Tin Kam Ho
How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. ACM Comput. Surv. 52 (5) (2019)
Lucas P. Zorzi, Ana Carolina Lorena
Exploring Artificial Neural Networks: A Data Complexity Perspective. BRACIS (2019)
Lucas Chesini Okimoto, Ana Carolina Lorena
Data complexity measures in feature selection. IJCNN (2019)
Luís Paulo F. Garcia, Jens Lehmann, André C. P. L. F. de Carvalho, Ana Carolina Lorena
New label noise injection methods for the evaluation of noise filters. Knowl. Based Syst. 163 (2019)
Ana Carolina Lorena, Aron I. Maciel, Péricles B. C. de Miranda, Ivan G. Costa, Ricardo B. C. Prudêncio
Data complexity meta-features for regression problems. Mach. Learn. 107 (1) (2018)
Victor H. Barella, Luís Paulo F. Garcia, Marcilio C. P. de Souto, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Data Complexity Measures for Imbalanced Classification Tasks. IJCNN (2018)
Thaise M. Quiterio, Ana Carolina Lorena
Using complexity measures to determine the structure of directed acyclic graphs in multiclass classification. Appl. Soft Comput. 65 (2018)
Vinícius Veloso de Melo, Ana Carolina Lorena
Using Complexity Measures to Evolve Synthetic Classification Datasets. IJCNN (2018)
James Shiniti Nagai, Hério Sousa, Alexandre Hild Aono, Ana Carolina Lorena, Reginaldo Massanobu Kuroshu
Gene Essentiality Prediction Using Topological Features From Metabolic Networks. BRACIS (2018)
Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Adaptive Biometric Systems using Ensembles. IEEE Intell. Syst. 33 (2) (2018)
Guilherme Ribeiroda Silva, Márcio P. Basgalupp, Ana Carolina Lorena
Automatic Design of Evolutionary Algorithms Based on Entropy Triggers. CEC (2018)
Luís Paulo F. Garcia, Ana Carolina Lorena, Marcilio C. P. de Souto, Tin Kam Ho
Classifier Recommendation Using Data Complexity Measures. ICPR (2018)
Ana Carolina Lorena, Luís Paulo F. Garcia, Jens Lehmann, Marcilio C. P. de Souto, Tin Kam Ho
How Complex is your classification problem? A survey on measuring classification complexity. CoRR (2018)
Ana Carolina Lorena, Anne Magály de Paula Canuto
Interdisciplinary Data Analysis. New Gener. Comput. 36 (1) (2018)
Paulo Henrique Pisani, Norman Poh, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Score normalization applied to adaptive biometric systems. Comput. Secur. 70 (2017)
Arua De M. Sousa, Ana Carolina Lorena, Márcio P. Basgalupp
GEEK: Grammatical Evolution for Automatically Evolving Kernel Functions. TrustCom/BigDataSE/ICESS (2017)
Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee
Feature Selection via Pareto Multi-objective Genetic Algorithms. Appl. Artif. Intell. 31 (9-10) (2017)
Pablo Morales, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
The NoiseFiltersR Package: Label Noise Preprocessing in R. R J. 9 (1) (2017)
Lucas Chesini Okimoto, Ricardo Manhães Savii, Ana Carolina Lorena
Complexity Measures Effectiveness in Feature Selection. BRACIS (2017)
Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Adaptive algorithms applied to accelerometer biometrics in a data stream context. Intell. Data Anal. 21 (2) (2017)
Paulo Henrique Pisani, Romain Giot, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Enhanced template update: Application to keystroke dynamics. Comput. Secur. 60 (2016)
Aron I. Maciel, Ivan G. Costa, Ana Carolina Lorena
Measuring the complexity of regression problems. IJCNN (2016)
Thaise M. Quiterio, Ana Carolina Lorena
Determining the Structure of Decision Directed Acyclic Graphs for Multiclass Classification Problems. BRACIS (2016)
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Noise detection in the meta-learning level. Neurocomputing 176 (2016)
Luís Paulo F. Garcia, Ana Carolina Lorena, Stan Matwin, André Carlos Ponce de Leon Ferreira de Carvalho
Ensembles of label noise filters: a ranking approach. Data Min. Knowl. Discov. 30 (5) (2016)
Paulo Henrique Pisani, Ana Carolina Lorena
Emphasizing typing signature in keystroke dynamics using immune algorithms. Appl. Soft Comput. 34 (2015)
Jussara Dias, Marcos G. Quiles, Ana Carolina Lorena
Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers. ICONIP (2) (2015)
Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Ensemble of Adaptive Algorithms for Keystroke Dynamics. BRACIS (2015)
Ana Carolina Lorena, Marcílio Carlos Pereira de Souto
On Measuring the Complexity of Classification Problems. ICONIP (1) (2015)
Luís Paulo F. Garcia, José A. Sáez, Julián Luengo, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera
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. 90 (2015)
Ana Carolina Lorena, Luís Paulo Faina Garcia, André C. P. L. F. de Carvalho
Adapting Noise Filters for Ranking. BRACIS (2015)
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Effect of label noise in the complexity of classification problems. Neurocomputing 160 (2015)
Paulo Henrique Pisani, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Adaptive Positive Selection for Keystroke Dynamics. J. Intell. Robotic Syst. 80 (Supplement-1) (2015)
Luiz Henrique Nogueira Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena
Filter Feature Selection for One-Class Classification. J. Intell. Robotic Syst. 80 (Supplement-1) (2015)
Paulo Henrique Pisani, Ana Carolina Lorena, André C. P. L. F. de Carvalho
Adaptive approaches for keystroke dynamics. IJCNN (2015)
Luiz Henrique Nogueira Lorena, Ana Carolina Lorena, Luiz Antonio Nogueira Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Clustering Search Applied to Rank Aggregation. BRACIS (2014)
Teresa Bernarda Ludermir, Cleber Zanchettin, Ana Carolina Lorena
Advances in intelligent systems. Neurocomputing 127 (2014)
Paulo Henrique Pisani, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Adaptive Algorithms in Accelerometer Biometrics. BRACIS (2014)
Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Noisy Data Set Identification. HAIS (2013)
Paulo Henrique Pisani, Ana Carolina Lorena
A systematic review on keystroke dynamics. J. Braz. Comput. Soc. 19 (4) (2013)
Paulo Henrique Pisani, Ana Carolina Lorena
Comparison of Feature Vectors in Keystroke Dynamics: A Novelty Detection Approach. Int. J. Nat. Comput. Res. 3 (4) (2012)
Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho
A Study on Class Noise Detection and Elimination. SBRN (2012)
Paulo Henrique Pisani, Ana Carolina Lorena
Evolutionary neural networks applied to keystroke dynamics: Genetic and immune based. IEEE Congress on Evolutionary Computation (2012)
Ana Carolina Lorena, Ivan G. Costa, Newton Spolaôr, Marcílio Carlos Pereira de Souto
Analysis of complexity indices for classification problems: Cancer gene expression data. Neurocomputing 75 (1) (2012)
Paulo Henrique Pisani, Ana Carolina Lorena
Negative Selection with High-Dimensional Support for Keystroke Dynamics. SBRN (2012)
Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee
Multi-objective Genetic Algorithm Evaluation in Feature Selection. EMO (2011)
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
Comparing machine learning classifiers in potential distribution modelling. Expert Syst. Appl. 38 (5) (2011)
Lucas Trambaiolli, Tiago H. Falk, Francisco J. Fraga, Renato Anghinah, Ana Carolina Lorena
EEG spectro-temporal modulation energy: A new feature for automated diagnosis of Alzheimer's disease. EMBC (2011)
Marcílio Carlos Pereira de Souto, Ana Carolina Lorena, Newton Spolaôr, Ivan Gesteira Costa
Complexity measures of supervised classifications tasks: A case study for cancer gene expression data. IJCNN (2010)
Newton Spolaôr, Ana Carolina Lorena, Huei Diana Lee
Use of Multiobjective Genetic Algorithms in Feature Selection. SBRN (2010)
Ana Carolina Lorena, Newton Spolaôr, Ivan G. Costa, Marcilio C. P. de Souto
On the Complexity of Gene Marker Selection. SBRN (2010)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Building binary-tree-based multiclass classifiers using separability measures. Neurocomputing 73 (16-18) (2010)
Francisco de Assis Zampirolli, Beatriz Stransky, Ana Carolina Lorena, Fábio Luis de Melo Paulon
Segmentation and Classification of Histological Images - Application of Graph Analysis and Machine Learning Methods. SIBGRAPI (2010)
Ivan G. Costa, Ana Carolina Lorena, Liciana R. M. P. y Peres, Marcílio Carlos Pereira de Souto
Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets. BSB (2009)
André L. B. Miranda, Luís Paulo F. Garcia, André C. P. L. F. de Carvalho, Ana Carolina Lorena
Use of Classification Algorithms in Noise Detection and Elimination. HAIS (2009)
Giampaolo L. Libralon, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena
Pre-processing for noise detection in gene expression classification data. J. Braz. Comput. Soc. 15 (1) (2009)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Evaluation Functions for the Evolutionary Design of Multiclass Support Vector Machines. Int. J. Comput. Intell. Appl. 8 (1) (2009)
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
Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms. BSB (2008)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Evolutionary tuning of SVM parameter values in multiclass problems. Neurocomputing 71 (16-18) (2008)
Ana Carolina Lorena, André C. P. L. F. de Carvalho
Estratégias para a Combinação de Classificadores Binários em Soluções Multiclasses. RITA 15 (2) (2008)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Tree Decomposition of Multiclass Problems. SBRN (2008)
Giampaolo L. Libralon, André Carlos Ponce de Leon Ferreira de Carvalho, Ana Carolina Lorena
Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data. ICONIP (1) (2008)
Ana Carolina Lorena, Ivan G. Costa, Marcílio Carlos Pereira de Souto
On the Complexity of Gene Expression Classification Data Sets. HIS (2008)
Eduardo P. Costa, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Alex Alves Freitas
Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. BSB (2008)
Ana Carolina Lorena, Marinez Ferreira de Siqueira, Renato De Giovanni, André Carlos Ponce de Leon Ferreira de Carvalho, Ronaldo C. Prati
Potential Distribution Modelling Using Machine Learning. IEA/AIE (2008)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama
A review on the combination of binary classifiers in multiclass problems. Artif. Intell. Rev. 30 (1-4) (2008)
Eduardo P. Costa, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho, Alex Alves Freitas, Nicholas Holden
Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees. BSB (2007)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Uma Introdução às Support Vector Machines. RITA 14 (2) (2007)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines. HIS (2007)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Protein cellular localization prediction with Support Vector Machines and Decision Trees. Comput. Biol. Medicine 37 (2) (2007)
Ana Carolina Lorena, André C. P. L. F. de Carvalho
Evolutionary design of multiclass support vector machines. J. Intell. Fuzzy Syst. 18 (5) (2007)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Multiclass SVM Design and Parameter Selection with Genetic Algorithms. SBRN (2006)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation. IEA/AIE (2005)
Daniela Mayumi Ushizima, Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Support Vector Machines Applied to White Blood Cell Recognition. HIS (2005)
Ana Carolina Lorena, André Carlos Ponce de Leon Ferreira de Carvalho
Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees. BSB (2005)

Ana Carolina Lorena.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ana Carolina Lorena