Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. - Cristiane Nobre; E. Martineli; Antônio de Pádua Braga; André Carlos Ponce de Leon Ferreira de Carvalho; S. Rezende; José L. Braga; Teresa Bernarda Ludermir (Int. J. Neural Syst., 1999)

Avaliação da usabilidade do JEMS - Journal and Event Management System - através de avaliação heurística, ensaios de interação e questionários de satisfação. - Diogo Vargas Tito; Fernanda de Castro Muniz Netto; Luiz Guilherme Hilel Drumond; Rochester Leon Diniz Parreiras; Sérgio Mariano Dias; Cristiane Neri Nobre (IHC, 2006)

High Efficiency on Prediction of Translation Initiation Site (TIS) of RefSeq Sequences. - Cristiane Neri Nobre; José Miguel Ortega; Antônio de Pádua Braga (BSB, 2007)

The usage of Artificial Neural Networks in the classification and forecast of potable water consumption. - Diego Marinho de Oliveira; Andre Luis de Oliveira Andrade; Cristiane Neri Nobre; Luis Enrique Zárate (IJCNN, 2009)

Applying neural networks to determine the socio-environmental factors responsible for potable water consumption. - Diego Marinho de Oliveira; Cristiane Neri Nobre; Luis Henrique Zárate (SMC, 2010)

The use of artificial neural networks in the analysis and prediction of stock prices. - Fagner Andrade de Oliveira; Luis Enrique Zárate; Marcos de Azevedo Reis; Cristiane Neri Nobre (SMC, 2011)

Prediction of protein translation initiation site from the perspective of imbalanced classes. - Felipe Carvalho de Souza Teixeira; Cristiane Neri Nobre; Livia Marcia Silva; Luis Enrique Zárate (SMC, 2011)

The use of support vector machine and genetic algorithms to predict protein function. - Walkiria K. Resende; Renato A. Nascimento; Carolina R. Xavier; Iara F. Lopes; Cristiane Neri Nobre (SMC, 2012)

Parallel and distributed kmeans to identify the translation initiation site of proteins. - Laerte M. Rodrigues; Luis E. Zárate; Cristiane Neri Nobre; Henrique C. Freitas (SMC, 2012)

Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index - Case study of PETR4, Petrobras, Brazil. - Fagner Andrade de Oliveira; Cristiane Neri Nobre; Luis E. Zárate (Expert Syst. Appl., 2013)

A Genetic Algorithm for the Selection of Features Used in the Prediction of Protein Function. - Larissa Fernandes Leijoto; Thiago Assis De Oliveira Rodrigues; Luis Enrique Zárate; Cristiane Neri Nobre (BIBE, 2014)

A influência das estratégias persuasivas no comportamento dos usuários no Facebook. - Pedro Henrique Batista Ruas da Silveira; Cristiane Neri Nobre; Ana Maria Pereira Cardoso (IHC, 2014)

Predição de função de proteínas através da extração de características físico-químicas. - Thiago Assis De Oliveira Rodrigues; Larissa Fernandes Leijoto; Poliane C. Oliveira Brandão; Cristiane Neri Nobre (RITA, 2015)

Emotional Experience of older adults with Digital Games for Smartphones - a case study of the Brazilian game Viajando pelo Mundo. - Adriano D. Evelin; Kássia C. da Silva; Otaviano F. Neves; Lucila Ishitani; Cristiane Neri Nobre (IHC, 2016)

Behavioral Model of Online Social Network Users: an Adaptation of Fogg's Behavior Model. - Pedro Henrique Batista Ruas da Silveira; Cristiane Neri Nobre (IHC, 2016)

The Use of Geogebra Software as a Calculus Teaching and Learning Tool. - Cristiane Neri Nobre; Magali Rezende Gouvêa Meireles; Niltom Vieira Junior; Mônica Neli de Resende; Lucivânia Ester da Costa; Rejane Corrêa da Rocha (Informatics Educ., 2016)

The Relevance of Upstream and Downstream Regions of mRNA in the Prediction of Translation Initiation Site of the Protein. - Wallison William Guimarães; Cristiano Lacerda Nunes Pinto; Cristiane Neri Nobre; Luis E. Zárate (BIBE, 2017)

Computational Tools for Analysis of Codon Usage in Viral Genomes and its Hosts. - Jonathan Felipe Xavier; Catherine Putonti; Cristiane Neri Nobre (BIBE, 2017)

Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis. - Leandro M. Ferreira; Cristiano Lacerda Nunes Pinto; Sérgio M. Dias; Cristiane Neri Nobre; Luis E. Zárate (ICEIS (1), 2017)

Persuasion strategies in mobile systems: a case study of Facebook application. - Andressa P. C. de Oliveira; Pedro Henrique Batista Ruas da Silveira; Luis E. Zárate; Cristiane Neri Nobre (IHC, 2017)

Algorithms Analysis in Adjusting the SVM Parameters: An Approach in the Prediction of Protein Function. - Marcos Felipe Martins Silva; Larissa Fernandes Leijoto; Cristiane Neri Nobre (Appl. Artif. Intell., 2017)

Transductive learning as an alternative to translation initiation site identification. - Cristiano Lacerda Nunes Pinto; Cristiane Neri Nobre; Luis Enrique Zárate (BMC Bioinform., 2017)

Persuasive technology in online social networks: a systematic literature review. - Pedro Henrique Batista Ruas da Silveira; Ana Maria Pereira Cardoso; Cristiane Neri Nobre (Int. J. Web Based Communities, 2017)

A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research. - Caio Eduardo Ribeiro; Luis Henrique S. Brito; Cristiane Neri Nobre; Alex Alves Freitas; Luis Enrique Zárate (WIREs Data Mining Knowl. Discov., 2017)

Multi-Objective Genetic Algorithm for Feature Selection in a Protein Function Prediction Context. - Bruno César dos Santos; Cristiane Neri Nobre; Luis Enrique Zárate (CEC, 2018)

TCSVM - A Cascade Approach with Transductive Inference to Predicting Protein Translation Initiation Site. - Wallison William Guimarães; Cristiano Lacerda Nunes Pinto; Cristiane Neri Nobre; Luis E. Zárate (IJCNN, 2018)

Evaluation of inductive and transductive inference in the context of translation initiation site. - Wallison William Guimarães; Cristiano Lacerda Nunes Pinto; Cristiane Neri Nobre; Luis E. Zárate (SAC, 2018)

Cascade Support Vector Machines applied to the Translation Initiation Site prediction problem. - Wallison William Guimarães; Cristiano Lacerda Nunes Pinto; Cristiane Neri Nobre; Luis E. Zárate (J. Inf. Data Manag., 2018)

Emotionally Oriented Analysis of the Experiences of Visually Impaired People on Facebook. - Cristiane Neri Nobre; Magali Rezende Gouvêa Meireles; Débora B. F. Da Silva; Alberto H. Faria; Niltom Vieira Junior (ACM Trans. Access. Comput., 2018)

Knowledge Extraction from Vector Machine Support in the Context of Depression in Children and Adolescents. - Thiago H. N. de Lima; Renata C. Santana; Maycoln L. M. Teodoro; Cristiane Nobre (CIARP, 2019)

Rule Induction Algorithms Applied in Educational Data Set. - Walisson Ferreira de Carvalho; Cristiane Neri Nobre; Luis E. Zárate (CSEDU (1), 2019)

Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context. - Renata C. Santana; Bruno César dos Santos; Thiago H. N. de Lima; Maycoln L. M. Teodoro; Saulo Pinto; Luiz Zárate; Cristiane Nobre (ICMLA, 2019)

Improving the quality of enzyme prediction by using feature selection and dimensionality reduction. - Luis Henrique S. Brito; Ana L. C. V. Lara; Luis E. Zárate; Cristiane Neri Nobre (IJCNN, 2019)

Classification and Characterization of Children and Adolescents with Depressive Symptomatology using Machine Learning. - Kelly Malaquias; Thiago H. N. de Lima; Renata C. Santana; Felipe Salgado; Maycoln L. M. Teodoro; Cristiane Nobre (SMC, 2019)

Feature selection with genetic algorithm for protein function prediction. - Bruno César dos Santos; Marcos W. Rodrigues; Cristiano Lacerda Nunes Pinto; Cristiane Neri Nobre; Luis E. Zárate (SMC, 2019)

Identification and characterisation of Facebook user profiles considering interaction aspects. - Pedro Henrique Batista Ruas da Silveira; Alan D. Machado; Michelle C. Silva; Magali R. G. Meireles; Ana Maria Pereira Cardoso; Luis E. Zárate; Cristiane Neri Nobre (Behav. Inf. Technol., 2019)

Proteingo: Motivation, user experience, and learning of molecular interactions in biological complexes. - Marcos Felipe Martins Silva; Pedro M. Martins 001; Diego C. B. Mariano; Lucianna Helene Santos; Isabela Pastorini; Naiara Pantuza; Cristiane Neri Nobre; Raquel Cardoso de Melo Minardi (Entertain. Comput., 2019)

A Fast Parallel K-Modes Algorithm for Clustering Nucleotide Sequences to Predict Translation Initiation Sites. - Guilherme Torres Castro; Luis Enrique Zárate; Cristiane Neri Nobre; Henrique C. Freitas (J. Comput. Biol., 2019)

Feature Selection and Comparison of Classifiers for Protein Function Prediction. - Bruno César dos Santos; Cora Silberschneider; Marcos W. Rodrigues; Cristiano Lacerda Nunes Pinto; Cristiane Neri Nobre; Luis E. Zárate (J. Inf. Data Manag., 2019)

Evaluation of digital games for autistic children using heuristics and observation tests. - Adhonay Júnior Silva; Tiza Verciano Romeiro; Cristiane Neri Nobre (IHC, 2020)

Applying binary decision diagram to extract concepts from triadic formal context. - Julio C. V. Neves; Kaio H. A. Ananias; Cristiane Nobre; Luis E. Zárate; Mark A. J. Song (SAC, 2020)

Characterization of long-lived and non-long lived profiles through biclustering. - Marta D. M. Noronha; Marcos W. Rodrigues; Caio Eduardo Ribeiro; Cristiane Neri Nobre; Mark A. J. Song; Luis E. Zárate (SAC, 2020)

Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. - Caroline Jandre; Marcelo de Sousa Balbino; Débora de Miranda; Luis E. Zárate; Cristiane Nobre (BIOSTEC (Selected Papers), 2021)

Analysis of School Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Dimensionality Reduction Approach. - Caroline Jandre; Bruno César dos Santos; Marcelo de Sousa Balbino; Débora de Miranda; Luis E. Zárate; Cristiane Nobre (HEALTHINF, 2021)

How Is the Quality of Information in a Cancer Hospital Regarding the Completeness and Consistency? A Case Study of the Hospital Cancer Registry of the Brazilian Hospital Bom Pastor. - Érika G. de Assis; Anna Carolina L. Lima; Cristiane Neri Nobre (MedInfo, 2021)

The Use of Convolutional Neural Networks in the Prediction of Invasive Ductal Carcinoma in Histological Images of Breast Cancer. - Érika G. de Assis; Zenilton K. G. do Patrocínio; Cristiane Neri Nobre (MedInfo, 2021)

Predictions of Academic Performance of Children and Adolescents with ADHD Using the SHAP Approach. - Marcelo de Sousa Balbino; Caroline Jandre; Débora de Miranda; Cristiane Nobre (MedInfo, 2021)

Applying Formal Concept Analysis for the Recognition of Infant Mortality Patterns. - Lorenzo Marzano; Cristiane Nobre; Luis E. Zárate; Mark A. J. Song (MedInfo, 2021)

Interpreting the Human Longevity Profile Through Triadic Rules - A Case Study Based on the ELSA-UK Longitudinal Study. - Marta D. M. Noronha; Cristiane Neri Nobre; Mark A. J. Song; Luis E. Zárate (MedInfo, 2021)

Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá. - Wanderson L. Soares; Mark A. J. Song; Luis E. Zárate; Cristiane Neri Nobre (MedInfo, 2021)

Evaluating biological characteristics for protein function prediction using support vector machine. - Gabriela Teodoro De Oliveira Santos; Cristiane Neri Nobre; Luis Enrique Zárate (Int. J. Bioinform. Res. Appl., 2021)

Data Balancing using Deep Convolutional Generative Adversarial Networks (DCGAN) in Patients with Congenital Syndrome by Zika Virus. - Érika G. de Assis; Mark A. J. Song; Luis E. Zárate; Cristiane Neri Nobre (HEALTHINF, 2022)

Predicting Depression in Children and Adolescents using the SHAP Approach. - Marcelo de Sousa Balbino; Renata Santana; Maycoln L. M. Teodoro; Mark A. J. Song; Luis E. Zárate; Cristiane Nobre (HEALTHINF, 2022)

Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. - Henrique R. Hott; Caroline Jandre; Pedro H. S. Xavier; Amal Miloud-Aouidate; Débora M. Miranda; Mark A. J. Song; Luis E. Zárate; Cristiane Neri Nobre (HEALTHINF, 2022)

A Review of the Main Factors, Computational Methods, and Databases Used in Depression Studies. - Ariane C. B. da Silva; Renata C. Santana; Thiago H. N. de Lima; Maycoln L. M. Teodoro; Mark A. J. Song; Luis E. Zárate; Cristiane Neri Nobre (HEALTHINF, 2022)

Formal Concept Analysis Applied to a Longitudinal Study of COVID-19. - Paulo Lana; Cristiane Nobre; Luis E. Zárate; Mark A. J. Song (ICEIS (1), 2022)

Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais. - Deivid Santos; Cristiane Nobre; Luis E. Zárate; Mark A. J. Song (ICEIS (1), 2022)

Developing an edutainment game, taboo!, for children with ADHD based on socially aware design and VCIA model. - Bruno G. Batista; Ana F. D. Rodrigues; Débora M. Miranda; Lucila Ishitani; Cristiane Neri Nobre (IHC, 2022)

Evaluating Cognitive Privacy Heuristics that Influence Facebook Users Data Disclosure. - Daphne Fernanda F. B. de Carvalho; Cristiane Neri Nobre; Humberto Torres Marques-Neto (J. Internet Serv. Appl., 2022)

The Use of Machine Learning to Predict Hospitalization of Covid-19: A Case Study in the State of Minas Gerais - Brazil. - Gerda Graciela Rodrigues de Oliveira; Cristiane Neri Nobre (HEALTHINF, 2023)

SciBR-M: a method to map the evolution of scientific interest - A case study in educational data mining. - Luiz Zárate; Marcos W. Rodrigues; Sérgio Mariano Dias; Cristiane Nobre; Mark A. J. Song (Libr. Hi Tech, 2023)

Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm. - Diogo Rodrigo dos Reis; Bruno César dos Santos; Lucas Bleicher; Luis E. Zárate; Cristiane Neri Nobre (Comput. Biol. Medicine, 2023)

CSSE - An agnostic method of counterfactual, selected, and social explanations for classification models. - Marcelo de Sousa Balbino; Luis Enrique Zárate Gálvez; Cristiane Neri Nobre (Expert Syst. Appl., 2023)

Assessment of the Relationship Between Attribute Coding and the Interpretability of Machine Learning Models: An Analysis in the Context of Children and Adolescents with Depression. - Ludmila B. S. Nascimento; Marcelo de Sousa Balbino; Maycoln L. M. Teodoro; Cristiane Neri Nobre (BIOSTEC (2), 2024)

Underdiagnosed Depression in Older Adults: Analysis of the National Health Survey and Other Aggregate Factors. - Eduardo Henrique S. Paraíso; Ariane C. B. da Silva; Cristiane Neri Nobre (BIOSTEC (2), 2024)

Improving the Instance Selection Method for Better Detection of Depression in Children and Adolescents. - Ariane C. B. da Silva; Maycoln L. M. Teodoro; Cristiane Neri Nobre (BIOSTEC (2), 2024)

Persuasive Technology for Managing the Routine of Families with Children and Adolescents with ADHD: A User-Centered Approach. - Caroline R. S. Jandre; Fernando C. S. Dal' Maria; Gabriel A. C. Nardy; Felipe T. G. Guimarães; Débora de Miranda; Cristiane Neri Nobre (IHC, 2024)

A Review and Analysis of Computational Approaches in Diagnosing, Monitoring, Controlling, and Developing Treatments and Vaccines Against the Zika Virus. - Érika G. de Assis; Renata A. De O. Vianna; Claudete A. A. Cardoso; Cristiane Neri Nobre (IEEE Access, 2024)

Computational methods in the analysis of SARS-CoV-2 in mammals: A systematic review of the literature. - Paula Vitória Silva; Cristiane Neri Nobre (Comput. Biol. Medicine, 2024)

Software for building and measuring the quality of composite indicators using ordered weighted averaging: So-called S-CI-OWA. - Laura Cozzi Ribeiro; Matheus Pereira Libório; Hasheem Mannan; Sandro Laudares; Petr Iakovlevitch Ekel; Douglas Alexandre Gomes Vieira; Cristiane Neri Nobre (SoftwareX, 2024)

Predicting inmates misconduct using the SHAP approach. - Fábio M. Oliveira; Marcelo de Sousa Balbino; Luis E. Zárate; Fawn Ngo; Ramakrishna Govindu; Anurag Agarwal; Cristiane Neri Nobre (Artif. Intell. Law, 2024)

Using Machine Learning to Assess the Impact of Harsh Violent Discipline on Children and Adolescents in Low- and Middle-Income Countries: A Comparative Analysis Focusing on Its Relationship with Disabilities. - Milena S. Barreira; Ariane C. B. da Silva; Hasheem Mannani; Cristiane Neri Nobre (BIOSTEC (2): HEALTHINF, 2025)

Selection of Representative Instances Using Ant Colony Optimization: A Case Study in a Database of Newborns with Congenital Zika in Brazil. - Ana C. M. Gonçalves; Ludmila B. S. Nascimento; Ana L. P. Leite; Maria E. O. Brito; Érika G. de Assis; Henrique C. Freitas; Cristiane Neri Nobre (BIOSTEC (2): HEALTHINF, 2025)

Application of Formal Concept Analysis for Identifying Depression Patterns in Adults in Brazilian National Health Survey. - Diogo Rodrigo dos Reis; Mark Alan Junho Song; Cristiane Neri Nobre (BIOSTEC (2): HEALTHINF, 2025)

Using Machine Learning to Analyze the Impact of Lifestyle and Socioeconomic Factors on the Incidence of Depression Among Young Brazilians. - Thayris G. F. Rodrigues; Ariane C. B. da Silva; Cristiane Neri Nobre (BIOSTEC (2): HEALTHINF, 2025)

Personas and socially aware design in the characterization of children and adolescents with attention-deficit/hyperactivity disorder: a technological and social approach. - Caroline R. S. Jandre; Aliene A. Villaça; Marcelo de Sousa Balbino; Débora de Miranda; Cristiane Neri Nobre (Univers. Access Inf. Soc., 2025)