The Influence of Noisy Patterns in the Performance of Learning Methods in the Splice Junction Recognition Problem. - Ana Carolina Lorena; Gustavo E. A. P. A. Batista; André Carlos Ponce de Leon Ferreira de Carvalho; Maria Carolina Monard (SBRN, 2002)

Splice Junction Recognition using Machine Learning Techniques. - Ana Carolina Lorena; Gustavo E. A. P. A. Batista; André Carlos Ponce de Leon Ferreira de Carvalho; Maria Carolina Monard (WOB, 2002)

Aprendizado de Máquina Aplicado ao Estudo de Marcadores Moleculares para Produção de Carne Bovina. - Silvia H. M. G. da Silva; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho; Danielle D. Tambasco; Luciana C. A. Regitano (WOB, 2002)

Human Splice Site Identification with Multiclass Support Vector Machines and Bagging. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (ICANN, 2003)

Comparing Techniques for Multiclass Classification Using Binary SVM Predictors. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (MICAI, 2004)

An Hybrid GA/SVM Approach for Multiclass Classification with Directed Acyclic Graphs. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (SBIA, 2004)

Support Vector Machines Applied to White Blood Cell Recognition. - Daniela Mayumi Ushizima; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (HIS, 2005)

Minimum Spanning Trees in Hierarchical Multiclass Support Vector Machines Generation. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (IEA/AIE, 2005)

Protein Cellular Localization with Multiclass Support Vector Machines and Decision Trees. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (BSB, 2005)

Multiclass SVM Design and Parameter Selection with Genetic Algorithms. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2006)

Investigation of strategies for the generation of multiclass support vector machines. - Ana Carolina Lorena (2006)

Comparing Several Evaluation Functions in the Evolutionary Design of Multiclass Support Vector Machines. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (HIS, 2007)

Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees. - Eduardo P. Costa; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho; Alex Alves Freitas; Nicholas Holden (BSB, 2007)

Protein cellular localization prediction with Support Vector Machines and Decision Trees. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Comput. Biol. Medicine, 2007)

Evolutionary design of multiclass support vector machines. - Ana Carolina Lorena; André C. P. L. F. de Carvalho (J. Intell. Fuzzy Syst., 2007)

Uma Introdução às Support Vector Machines. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (RITA, 2007)

On the Complexity of Gene Expression Classification Data Sets. - Ana Carolina Lorena; Ivan G. Costa; Marcílio Carlos Pereira de Souto (HIS, 2008)

Ensembles of Pre-processing Techniques for Noise Detection in Gene Expression Data. - Giampaolo L. Libralon; André Carlos Ponce de Leon Ferreira de Carvalho; Ana Carolina Lorena (ICONIP (1), 2008)

Potential Distribution Modelling Using Machine Learning. - Ana Carolina Lorena; Marinez Ferreira de Siqueira; Renato De Giovanni; André Carlos Ponce de Leon Ferreira de Carvalho; Ronaldo C. Prati (IEA/AIE, 2008)

Tree Decomposition of Multiclass Problems. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (SBRN, 2008)

Top-Down Hierarchical Ensembles of Classifiers for Predicting G-Protein-Coupled-Receptor Functions. - Eduardo P. Costa; Ana Carolina Lorena; André C. P. L. F. de Carvalho; Alex Alves Freitas (BSB, 2008)

Evaluation of Models for the Recognition of Hadwritten Digits in Medical Forms. - 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 (BSB, 2008)

A review on the combination of binary classifiers in multiclass problems. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho; João Gama 001 (Artif. Intell. Rev., 2008)

Evolutionary tuning of SVM parameter values in multiclass problems. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2008)

Estratégias para a Combinação de Classificadores Binários em Soluções Multiclasses. - Ana Carolina Lorena; André C. P. L. F. de Carvalho (RITA, 2008)

Investigation of Strategies for the Generation of Multiclass Support Vector Machines. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (New Challenges in Applied Intelligence Technologies, 2008)

evolutionary Design of Code-matrices for Multiclass Problems. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Soft Computing for Knowledge Discovery and Data Mining, 2008)

Use of Classification Algorithms in Noise Detection and Elimination. - André L. B. Miranda; Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (HAIS, 2009)

Using Supervised Complexity Measures in the Analysis of Cancer Gene Expression Data Sets. - Ivan G. Costa; Ana Carolina Lorena; Liciana R. M. P. y Peres; Marcílio Carlos Pereira de Souto (BSB, 2009)

Evaluation Functions for the Evolutionary Design of Multiclass Support Vector Machines. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Int. J. Comput. Intell. Appl., 2009)

Pre-processing for noise detection in gene expression classification data. - Giampaolo L. Libralon; André Carlos Ponce de Leon Ferreira de Carvalho; Ana Carolina Lorena (J. Braz. Comput. Soc., 2009)

Complexity measures of supervised classifications tasks: A case study for cancer gene expression data. - Marcílio Carlos Pereira de Souto; Ana Carolina Lorena; Newton Spolaôr; Ivan Gesteira Costa (IJCNN, 2010)

On the Complexity of Gene Marker Selection. - Ana Carolina Lorena; Newton Spolaôr; Ivan G. Costa; Marcilio C. P. de Souto (SBRN, 2010)

Use of Multiobjective Genetic Algorithms in Feature Selection. - Newton Spolaôr; Ana Carolina Lorena; Huei Diana Lee (SBRN, 2010)

Segmentation and Classification of Histological Images - Application of Graph Analysis and Machine Learning Methods. - Francisco de Assis Zampirolli; Beatriz Stransky; Ana Carolina Lorena; Fábio Luis de Melo Paulon (SIBGRAPI, 2010)

Building binary-tree-based multiclass classifiers using separability measures. - Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (Neurocomputing, 2010)

A Survey on Recommender Systems for News Data. - Hugo L. Borges; Ana Carolina Lorena (Smart Information and Knowledge Management, 2010)

EEG spectro-temporal modulation energy: A new feature for automated diagnosis of Alzheimer's disease. - Lucas Trambaiolli; Tiago H. Falk; Francisco J. Fraga; Renato Anghinah; Ana Carolina Lorena (EMBC, 2011)

Multi-objective Genetic Algorithm Evaluation in Feature Selection. - Newton Spolaôr; Ana Carolina Lorena; Huei Diana Lee (EMO, 2011)

Comparing machine learning classifiers in potential distribution modelling. - 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 (Expert Syst. Appl., 2011)

Evolutionary neural networks applied to keystroke dynamics: Genetic and immune based. - Paulo Henrique Pisani; Ana Carolina Lorena (IEEE Congress on Evolutionary Computation, 2012)

A Study on Class Noise Detection and Elimination. - Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho (SBRN, 2012)

Negative Selection with High-Dimensional Support for Keystroke Dynamics. - Paulo Henrique Pisani; Ana Carolina Lorena (SBRN, 2012)

Comparison of Feature Vectors in Keystroke Dynamics: A Novelty Detection Approach. - Paulo Henrique Pisani; Ana Carolina Lorena (Int. J. Nat. Comput. Res., 2012)

Analysis of complexity indices for classification problems: Cancer gene expression data. - Ana Carolina Lorena; Ivan G. Costa; Newton Spolaôr; Marcílio Carlos Pereira de Souto (Neurocomputing, 2012)

Noisy Data Set Identification. - Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (HAIS, 2013)

A systematic review on keystroke dynamics. - Paulo Henrique Pisani; Ana Carolina Lorena (J. Braz. Comput. Soc., 2013)

Clustering Search Applied to Rank Aggregation. - Luiz Henrique Nogueira Lorena; Ana Carolina Lorena; Luiz Antonio Nogueira Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (BRACIS, 2014)

Adaptive Algorithms in Accelerometer Biometrics. - Paulo Henrique Pisani; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (BRACIS, 2014)

Advances in intelligent systems. - Teresa Bernarda Ludermir; Cleber Zanchettin; Ana Carolina Lorena (Neurocomputing, 2014)

Adapting Noise Filters for Ranking. - Ana Carolina Lorena; Luís Paulo Faina Garcia; André C. P. L. F. de Carvalho (BRACIS, 2015)

Ensemble of Adaptive Algorithms for Keystroke Dynamics. - Paulo Henrique Pisani; Ana Carolina Lorena; André C. P. L. F. de Carvalho (BRACIS, 2015)

Using Growing Neural Gas in Prototype Generation for Nearest Neighbor Classifiers. - Jussara Dias; Marcos G. Quiles; Ana Carolina Lorena (ICONIP (2), 2015)

On Measuring the Complexity of Classification Problems. - Ana Carolina Lorena; Marcílio Carlos Pereira de Souto (ICONIP (1), 2015)

Adaptive approaches for keystroke dynamics. - Paulo Henrique Pisani; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IJCNN, 2015)

Emphasizing typing signature in keystroke dynamics using immune algorithms. - Paulo Henrique Pisani; Ana Carolina Lorena (Appl. Soft Comput., 2015)

Effect of label noise in the complexity of classification problems. - Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Neurocomputing, 2015)

Filter Feature Selection for One-Class Classification. - Luiz Henrique Nogueira Lorena; André Carlos Ponce de Leon Ferreira de Carvalho; Ana Carolina Lorena (J. Intell. Robotic Syst., 2015)

Adaptive Positive Selection for Keystroke Dynamics. - Paulo Henrique Pisani; Ana Carolina Lorena; André Carlos Ponce de Leon Ferreira de Carvalho (J. Intell. Robotic Syst., 2015)

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. - Luís Paulo F. Garcia; José A. Sáez; Julián Luengo; Ana Carolina Lorena; André C. P. L. F. de Carvalho; Francisco Herrera (Knowl. Based Syst., 2015)

Determining the Structure of Decision Directed Acyclic Graphs for Multiclass Classification Problems. - Thaise M. Quiterio; Ana Carolina Lorena (BRACIS, 2016)

Measuring the complexity of regression problems. - Aron I. Maciel; Ivan G. Costa; Ana Carolina Lorena (IJCNN, 2016)

Enhanced template update: Application to keystroke dynamics. - Paulo Henrique Pisani; Romain Giot; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Comput. Secur., 2016)

Ensembles of label noise filters: a ranking approach. - Luís Paulo F. Garcia; Ana Carolina Lorena; Stan Matwin; André Carlos Ponce de Leon Ferreira de Carvalho (Data Min. Knowl. Discov., 2016)

Noise detection in the meta-learning level. - Luís Paulo F. Garcia; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Neurocomputing, 2016)

Complexity Measures Effectiveness in Feature Selection. - Lucas Chesini Okimoto; Ricardo Manhães Savii; Ana Carolina Lorena (BRACIS, 2017)

GEEK: Grammatical Evolution for Automatically Evolving Kernel Functions. - Arua De M. Sousa; Ana Carolina Lorena; Márcio P. Basgalupp (TrustCom/BigDataSE/ICESS, 2017)

Feature Selection via Pareto Multi-objective Genetic Algorithms. - Newton Spolaôr; Ana Carolina Lorena; Huei Diana Lee (Appl. Artif. Intell., 2017)

Score normalization applied to adaptive biometric systems. - Paulo Henrique Pisani; Norman Poh; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Comput. Secur., 2017)

Adaptive algorithms applied to accelerometer biometrics in a data stream context. - Paulo Henrique Pisani; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Intell. Data Anal., 2017)

The NoiseFiltersR Package: Label Noise Preprocessing in R. - Pablo Morales-Álvarez; Julián Luengo; Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho; Francisco Herrera (R J., 2017)

Gene Essentiality Prediction Using Topological Features From Metabolic Networks. - James Shiniti Nagai; Hério Sousa; Alexandre Hild Aono; Ana Carolina Lorena; Reginaldo Massanobu Kuroshu (BRACIS, 2018)

Automatic Design of Evolutionary Algorithms Based on Entropy Triggers. - Guilherme Ribeiroda Silva; Márcio P. Basgalupp; Ana Carolina Lorena (CEC, 2018)

Classifier Recommendation Using Data Complexity Measures. - Luís Paulo F. Garcia; Ana Carolina Lorena; Marcilio C. P. de Souto; Tin Kam Ho (ICPR, 2018)

Data Complexity Measures for Imbalanced Classification Tasks. - Victor H. Barella; Luís Paulo F. Garcia; Marcilio C. P. de Souto; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IJCNN, 2018)

Using Complexity Measures to Evolve Synthetic Classification Datasets. - Vinícius Veloso de Melo; Ana Carolina Lorena (IJCNN, 2018)

Using complexity measures to determine the structure of directed acyclic graphs in multiclass classification. - Thaise M. Quiterio; Ana Carolina Lorena (Appl. Soft Comput., 2018)

Adaptive Biometric Systems using Ensembles. - Paulo Henrique Pisani; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IEEE Intell. Syst., 2018)

Data complexity meta-features for regression problems. - Ana Carolina Lorena; Aron I. Maciel; Péricles Barbosa C. de Miranda; Ivan G. Costa; Ricardo B. C. Prudêncio (Mach. Learn., 2018)

Interdisciplinary Data Analysis. - Ana Carolina Lorena; Anne Magály de Paula Canuto (New Gener. Comput., 2018)

Exploring Artificial Neural Networks: A Data Complexity Perspective. - Lucas P. Zorzi; Ana Carolina Lorena (BRACIS, 2019)

Data complexity measures in feature selection. - Lucas Chesini Okimoto; Ana Carolina Lorena (IJCNN, 2019)

How Complex Is Your Classification Problem?: A Survey on Measuring Classification Complexity. - Ana Carolina Lorena; Luís Paulo F. Garcia; Jens Lehmann 001; Marcílio Carlos Pereira de Souto; Tin Kam Ho (ACM Comput. Surv., 2019)

New label noise injection methods for the evaluation of noise filters. - Luís Paulo F. Garcia; Jens Lehmann 001; André C. P. L. F. de Carvalho; Ana Carolina Lorena (Knowl. Based Syst., 2019)

Measuring Instance Hardness Using Data Complexity Measures. - José L. M. Arruda; Ricardo B. C. Prudêncio; Ana Carolina Lorena (BRACIS (2), 2020)

Monitoring Night Skies with Deep Learning. - Yuri Galindo; Marcelo De Cicco; Marcos G. Quiles; Ana Carolina Lorena (ICONIP (4), 2020)

Boosting meta-learning with simulated data complexity measures. - Luís Paulo F. Garcia; Adriano Rivolli; Edesio Alcobaça; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Intell. Data Anal., 2020)

Evaluating Data Characterization Measures for Clustering Problems in Meta-learning. - Luiz Henrique dos Santos Fernandes; Marcilio C. P. de Souto; Ana Carolina Lorena (ICONIP (1), 2021)

A Study of the Correlation of Metafeatures Used for Metalearning. - Adriano Rivolli; Luís Paulo F. Garcia; Ana Carolina Lorena; André C. P. L. F. de Carvalho (IWANN (1), 2021)

Automatic recovering the number k of clusters in the data by active query selection. - Hério Sousa; Marcilio C. P. de Souto; Reginaldo Massanobu Kuroshu; Ana Carolina Lorena (SAC, 2021)

A Multi-Learning Training Approach for Distinguishing Low and High Risk Cancer Patients. - Lucas Venezian Povoa; Uriel Cairê Balan Calvi; Ana Carolina Lorena; Carlos Henrique Costa Ribeiro; Israel T. da Silva (IEEE Access, 2021)

Towards Understanding Clustering Problems and Algorithms: An Instance Space Analysis. - Luiz Henrique dos Santos Fernandes; Ana Carolina Lorena; Kate Smith-Miles (Algorithms, 2021)

Using Machine Learning to support health system planning during the Covid-19 pandemic: a case study using data from São José dos Campos (Brazil). - Leila Abuabara; Maria Gabriela Valeriano; Carlos Roberto Veiga Kiffer; Horacio Hideki Yanasse; Ana Carolina Lorena (CLEI Electron. J., 2021)

PyHard: a novel tool for generating hardness embeddings to support data-centric analysis. - Pedro Yuri Arbs Paiva; Kate Smith-Miles; Maria Gabriela Valeriano; Ana Carolina Lorena (CoRR, 2021)

Assessing the data complexity of imbalanced datasets. - Victor H. Barella; Luís Paulo F. Garcia; Marcilio C. P. de Souto; Ana Carolina Lorena; André C. P. L. F. de Carvalho (Inf. Sci., 2021)

An Instance Space Analysis of Regression Problems. - Mario Andrés Muñoz; Tao Yan; Matheus R. Leal; Kate Smith-Miles; Ana Carolina Lorena; Gisele L. Pappa; Rômulo Madureira Rodrigues (ACM Trans. Knowl. Discov. Data, 2021)

Generating Diverse Clustering Datasets with Targeted Characteristics. - Luiz Henrique dos Santos Fernandes; Kate Smith-Miles; Ana Carolina Lorena (BRACIS (1), 2022)

Let the data speak: analysing data from multiple health centers of the São Paulo metropolitan area for COVID-19 clinical deterioration prediction. - 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 (CCGRID, 2022)

Community-based anomaly detection using spectral graph filtering. - Rodrigo Francisquini; Ana Carolina Lorena; Mariá C. V. Nascimento (Appl. Soft Comput., 2022)

Characterizing instance hardness in classification and regression problems. - Gustavo P. Torquette; Victor S. Nunes; Pedro Yuri Arbs Paiva; Lourenço B. C. Neto; Ana Carolina Lorena (CoRR, 2022)

Relating instance hardness to classification performance in a dataset: a visual approach. - Pedro Yuri Arbs Paiva; Camila Castro Moreno; Kate Smith-Miles; Maria Gabriela Valeriano; Ana Carolina Lorena (Mach. Learn., 2022)

Machine Teaching: An Explainable Machine Learning Model for Individualized Education. - Eduardo Vargas Ferreira; Ana Carolina Lorena (BRACIS (1), 2023)

A Framework for Characterizing What Makes an Instance Hard to Classify. - Maria Gabriela Valeriano; Pedro Yuri Arbs Paiva; Carlos Roberto Veiga Kiffer; Ana Carolina Lorena (BRACIS (2), 2023)

Model Performance Prediction: A Meta-Learning Approach for Concept Drift Detection. - Fernanda A. Melo; André C. P. L. F. de Carvalho; Ana Carolina Lorena; Luís Paulo F. Garcia (HAIS, 2023)

Complexity-Driven Sampling for Bagging. - Carmen Lancho; Marcilio C. P. de Souto; Ana Carolina Lorena; Isaac Martín de Diego (IDEAL, 2023)

Assessing Adversarial Effects of Noise in Missing Data Imputation. - Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Pedro Henriques Abreu; Ana Carolina Lorena (BRACIS (1), 2024)

An Instance Level Analysis of Classification Difficulty for Unlabeled Data. - Patricia S. M. Ueda; Adriano Rivolli; Ana Carolina Lorena (BRACIS (1), 2024)

Explaining instances in the health domain based on the exploration of a dataset's hardness embedding. - Maria Gabriela Valeriano; João Luiz Junho Pereira; Carlos Roberto Veiga Kiffer; Ana Carolina Lorena (GECCO Companion, 2024)

Measuring Latent Traits of Instance Hardness and Classifier Ability using Boltzmann Machines. - Eduardo Vargas Ferreira; Ricardo Bastos Cavalcante Prudêncio; Ana Carolina Lorena (IJCNN, 2024)

Assessor Models for Explaining Instance Hardness in Classification Problems. - Ricardo B. C. Prudêncio; Ana Carolina Lorena; Telmo de Menezes e Silva Filho; Patrícia Drapal; Maria Gabriela Valeriano (IJCNN, 2024)

Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation. - João Luiz Junho Pereira; Kate Smith-Miles; Mario Andrés Muñoz; Ana Carolina Lorena (Data Min. Knowl. Discov., 2024)

Trusting My Predictions: On the Value of Instance-Level Analysis. - Ana Carolina Lorena; Pedro Yuri Arbs Paiva; Ricardo B. C. Prudêncio (ACM Comput. Surv., 2024)

Golden lichtenberg algorithm: a fibonacci sequence approach applied to feature selection. - João Luiz Junho Pereira; Matheus Brendon Francisco; Benedict Jun Ma; Guilherme Ferreira Gomes; Ana Carolina Lorena (Neural Comput. Appl., 2024)

Understanding the performance of machine learning models from data- to patient-level. - Maria Gabriela Valeriano; Ana Matran-Fernandez; Carlos Roberto Veiga Kiffer; Ana Carolina Lorena (ACM J. Data Inf. Qual., 2024)

Data Balancing for Mitigating Sampling Bias in Machine Learning. - Ronaldo Inocêncio Júnior; Márcio P. Basgalupp; Teresa Bernarda Ludermir; Ana Carolina Lorena (SAC, 2025)

Network-based instance hardness measures for classification problems. - Gustavo P. Torquette; Márcio P. Basgalupp; Teresa Bernarda Ludermir; Ana Carolina Lorena (SAC, 2025)

A Label Propagation Approach for Missing Data Imputation. - Filipe Loyola Lopes; Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Miriam Seoane Santos; Pedro Henriques Abreu; Ana Carolina Lorena (IEEE Access, 2025)

Studying the robustness of data imputation methodologies against adversarial attacks. - Arthur Dantas Mangussi; Ricardo Cardoso Pereira; Ana Carolina Lorena; Miriam Seoane Santos; Pedro Henriques Abreu (Comput. Secur., 2025)

Pycol: A Python package for dataset complexity measures. - Diogo Apóstolo; Miriam Seoane Santos; Ana Carolina Lorena; Pedro Henriques Abreu (Neurocomputing, 2025)

mdatagen: A python library for the artificial generation of missing data. - Arthur Dantas Mangussi; Miriam Seoane Santos; Filipe Loyola Lopes; Ricardo Cardoso Pereira; Ana Carolina Lorena; Pedro Henriques Abreu (Neurocomputing, 2025)