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ORCIDCristiane Nobre
Cristiane Neri Nobre
Person information
- affiliation: Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil
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2020 – today
- 2024
[j23]Érika G. de Assis
, Renata A. De O. Vianna, Claudete A. A. Cardoso, Cristiane Neri Nobre:
A Review and Analysis of Computational Approaches in Diagnosing, Monitoring, Controlling, and Developing Treatments and Vaccines Against the Zika Virus. IEEE Access 12: 153395-153408 (2024)- [j22]Fábio M. Oliveira, Marcelo de Sousa Balbino, Luis E. Zárate, Fawn Ngo, Ramakrishna Govindu, Anurag Agarwal, Cristiane Neri Nobre:
Predicting inmates misconduct using the SHAP approach. Artif. Intell. Law 32(2): 369-395 (2024) - [j21]Paula Vitória Silva, Cristiane Neri Nobre:
Computational methods in the analysis of SARS-CoV-2 in mammals: A systematic review of the literature. Comput. Biol. Medicine 173: 108264 (2024) - [j20]Laura Cozzi Ribeiro, Matheus Pereira Libório, Hasheem Mannan, Sandro Laudares, Petr Iakovlevitch Ekel, Douglas Alexandre Gomes Vieira, Cristiane Neri Nobre:
Software for building and measuring the quality of composite indicators using ordered weighted averaging: So-called S-CI-OWA. SoftwareX 26: 101660 (2024) - [c48]Eduardo H. S. Paraíso, Ariane C. B. da Silva, Cristiane Neri Nobre:
Underdiagnosed Depression in Older Adults: Analysis of the National Health Survey and Other Aggregate Factors. BIOSTEC (2) 2024: 91-102 - [c47]Ariane C. B. da Silva, Maycoln L. M. Teodoro, Cristiane Neri Nobre:
Improving the Instance Selection Method for Better Detection of Depression in Children and Adolescents. BIOSTEC (2) 2024: 404-411 - [c46]Ludmila B. S. Nascimento, Marcelo de Sousa Balbino, Maycoln L. M. Teodoro, Cristiane Neri Nobre:
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. BIOSTEC (2) 2024: 482-489 - [c45]Caroline R. S. Jandre, Fernando C. S. Dal' Maria, Gabriel A. C. Nardy, Felipe T. G. Guimarães, Débora de Miranda, Cristiane Neri Nobre:
Persuasive Technology for Managing the Routine of Families with Children and Adolescents with ADHD: A User-Centered Approach. IHC 2024: 63 - 2023
- [j19]Diogo R. Reis, Bruno César dos Santos, Lucas Bleicher, Luis E. Zárate, Cristiane Neri Nobre:
Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm. Comput. Biol. Medicine 158: 106799 (2023) - [j18]Marcelo de Sousa Balbino, Luis Enrique Zárate Gálvez, Cristiane Neri Nobre:
CSSE - An agnostic method of counterfactual, selected, and social explanations for classification models. Expert Syst. Appl. 228: 120373 (2023) - [j17]Luiz Zárate, Marcos W. Rodrigues, Sérgio Mariano Dias, Cristiane Nobre, Mark A. J. Song:
SciBR-M: a method to map the evolution of scientific interest - A case study in educational data mining. Libr. Hi Tech 41(6): 1694-1724 (2023) - [c44]Gerda Graciela Rodrigues de Oliveira, Cristiane Neri Nobre:
The Use of Machine Learning to Predict Hospitalization of Covid-19: A Case Study in the State of Minas Gerais - Brazil. HEALTHINF 2023: 392-399 - 2022
- [j16]Daphne Fernanda F. B. de Carvalho, Cristiane Neri Nobre, Humberto Torres Marques-Neto:
Evaluating Cognitive Privacy Heuristics that Influence Facebook Users Data Disclosure. J. Internet Serv. Appl. 13(1): 66-81 (2022) - [c43]Érika G. de Assis, Mark A. J. Song, Luis E. Zárate, Cristiane Neri Nobre:
Data Balancing using Deep Convolutional Generative Adversarial Networks (DCGAN) in Patients with Congenital Syndrome by Zika Virus. HEALTHINF 2022: 93-102 - [c42]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:
Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. HEALTHINF 2022: 103-110 - [c41]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:
A Review of the Main Factors, Computational Methods, and Databases Used in Depression Studies. HEALTHINF 2022: 413-420 - [c40]Marcelo de Sousa Balbino, Renata Santana, Maycoln L. M. Teodoro, Mark A. J. Song, Luis E. Zárate, Cristiane Nobre:
Predicting Depression in Children and Adolescents using the SHAP Approach. HEALTHINF 2022: 514-521 - [c39]Paulo Lana, Cristiane Nobre, Luis E. Zárate, Mark A. J. Song:
Formal Concept Analysis Applied to a Longitudinal Study of COVID-19. ICEIS (1) 2022: 148-154 - [c38]Deivid Santos, Cristiane Nobre, Luis E. Zárate, Mark A. J. Song:
Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais. ICEIS (1) 2022: 155-162 - [c37]Bruno G. Batista, Ana F. D. Rodrigues, Débora M. Miranda, Lucila Ishitani, Cristiane Neri Nobre:
Developing an edutainment game, taboo!, for children with ADHD based on socially aware design and VCIA model. IHC 2022: 13:1-13:11 - 2021
- [j15]Gabriela Teodoro De Oliveira Santos, Cristiane Neri Nobre, Luis Enrique Zárate:
Evaluating biological characteristics for protein function prediction using support vector machine. Int. J. Bioinform. Res. Appl. 17(1): 1-24 (2021) - [c36]Caroline Jandre, Bruno César dos Santos, Marcelo de Sousa Balbino, Débora de Miranda, Luis E. Zárate, Cristiane Nobre:
Analysis of School Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Dimensionality Reduction Approach. HEALTHINF 2021: 155-165 - [c35]Caroline Jandre, Marcelo de Sousa Balbino, Débora de Miranda, Luis E. Zárate, Cristiane Nobre:
Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder. BIOSTEC (Selected Papers) 2021: 180-201 - [c34]Érika G. de Assis, Zenilton K. G. do Patrocínio, Cristiane Neri Nobre:
The Use of Convolutional Neural Networks in the Prediction of Invasive Ductal Carcinoma in Histological Images of Breast Cancer. MedInfo 2021: 587-591 - [c33]Marcelo de Sousa Balbino, Caroline Jandre, Débora de Miranda, Cristiane Nobre:
Predictions of Academic Performance of Children and Adolescents with ADHD Using the SHAP Approach. MedInfo 2021: 655-659 - [c32]Lorenzo Marzano, Cristiane Nobre, Luis E. Zárate, Mark A. J. Song:
Applying Formal Concept Analysis for the Recognition of Infant Mortality Patterns. MedInfo 2021: 762-766 - [c31]Wanderson L. Soares, Mark A. J. Song, Luis E. Zárate, Cristiane Neri Nobre:
Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá. MedInfo 2021: 772-776 - [c30]Marta D. M. Noronha, Cristiane Neri Nobre, Mark A. J. Song, Luis E. Zárate:
Interpreting the Human Longevity Profile Through Triadic Rules - A Case Study Based on the ELSA-UK Longitudinal Study. MedInfo 2021: 782-786 - [c29]Érika G. de Assis, Anna Carolina L. Lima, Cristiane Neri Nobre:
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. MedInfo 2021: 989-990 - 2020
- [c28]Adhonay Júnior Silva, Tiza Verciano Romeiro, Cristiane Neri Nobre:
Evaluation of digital games for autistic children using heuristics and observation tests. IHC 2020: 15:1-15:10 - [c27]Julio C. V. Neves, Kaio H. A. Ananias, Cristiane Nobre, Luis E. Zárate, Mark A. J. Song:
Applying binary decision diagram to extract concepts from triadic formal context. SAC 2020: 466-469 - [c26]Marta D. M. Noronha, Marcos W. Rodrigues, Caio Eduardo Ribeiro, Cristiane Neri Nobre, Mark A. J. Song, Luis E. Zárate:
Characterization of long-lived and non-long lived profiles through biclustering. SAC 2020: 473-476
2010 – 2019
- 2019
- [j14]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:
Identification and characterisation of Facebook user profiles considering interaction aspects. Behav. Inf. Technol. 38(8): 858-872 (2019) - [j13]Marcos Felipe Martins Silva, Pedro M. Martins, Diego C. B. Mariano, Lucianna Helene Santos, Isabela Pastorini, Naiara Pantuza, Cristiane Neri Nobre, Raquel Cardoso de Melo Minardi:
Proteingo: Motivation, user experience, and learning of molecular interactions in biological complexes. Entertain. Comput. 29: 31-42 (2019) - [j12]Guilherme Torres Castro, Luis Enrique Zárate, Cristiane Neri Nobre, Henrique C. Freitas:
A Fast Parallel K-Modes Algorithm for Clustering Nucleotide Sequences to Predict Translation Initiation Sites. J. Comput. Biol. 26(5): 442-456 (2019) - [j11]Bruno César dos Santos, Cora Silberschneider, Marcos W. Rodrigues, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
Feature Selection and Comparison of Classifiers for Protein Function Prediction. J. Inf. Data Manag. 10(3) (2019) - [c25]Thiago H. N. de Lima, Renata C. Santana, Maycoln L. M. Teodoro, Cristiane Nobre:
Knowledge Extraction from Vector Machine Support in the Context of Depression in Children and Adolescents. CIARP 2019: 545-555 - [c24]Walisson Ferreira de Carvalho, Cristiane Neri Nobre, Luis E. Zárate:
Rule Induction Algorithms Applied in Educational Data Set. CSEDU (1) 2019: 691-696 - [c23]Renata C. Santana, Bruno César dos Santos, Thiago H. N. de Lima, Maycoln L. M. Teodoro, Saulo Pinto, Luiz Zárate, Cristiane Nobre:
Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context. ICMLA 2019: 1470-1475 - [c22]Luis Henrique S. Brito, Ana L. C. V. Lara, Luis E. Zárate, Cristiane Neri Nobre:
Improving the quality of enzyme prediction by using feature selection and dimensionality reduction. IJCNN 2019: 1-8 - [c21]Kelly Malaquias, Thiago H. N. de Lima, Renata C. Santana, Felipe Salgado, Maycoln L. M. Teodoro, Cristiane Nobre:
Classification and Characterization of Children and Adolescents with Depressive Symptomatology using Machine Learning. SMC 2019: 534-539 - [c20]Bruno César dos Santos, Marcos W. Rodrigues, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
Feature selection with genetic algorithm for protein function prediction. SMC 2019: 2434-2439 - 2018
- [j10]Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
Cascade Support Vector Machines applied to the Translation Initiation Site prediction problem. J. Inf. Data Manag. 9(2): 179-195 (2018) - [j9]Cristiane Neri Nobre, Magali Rezende Gouvêa Meireles, Débora B. F. Da Silva, Alberto H. Faria, Niltom Vieira Junior:
Emotionally Oriented Analysis of the Experiences of Visually Impaired People on Facebook. ACM Trans. Access. Comput. 11(3): 17:1-17:21 (2018) - [c19]Bruno César dos Santos, Cristiane Neri Nobre, Luis Enrique Zárate:
Multi-Objective Genetic Algorithm for Feature Selection in a Protein Function Prediction Context. CEC 2018: 1-6 - [c18]Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
TCSVM - A Cascade Approach with Transductive Inference to Predicting Protein Translation Initiation Site. IJCNN 2018: 1-8 - [c17]Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
Evaluation of inductive and transductive inference in the context of translation initiation site. SAC 2018: 68-71 - 2017
- [j8]Marcos Felipe Martins Silva, Larissa Fernandes Leijoto, Cristiane Neri Nobre:
Algorithms Analysis in Adjusting the SVM Parameters: An Approach in the Prediction of Protein Function. Appl. Artif. Intell. 31(4): 316-331 (2017) - [j7]Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis Enrique Zárate:
Transductive learning as an alternative to translation initiation site identification. BMC Bioinform. 18(1): 81:1-81:15 (2017) - [j6]Pedro Henrique Batista Ruas da Silveira, Ana Maria Pereira Cardoso, Cristiane Neri Nobre:
Persuasive technology in online social networks: a systematic literature review. Int. J. Web Based Communities 13(4): 404-424 (2017) - [j5]Caio Eduardo Ribeiro, Luis Henrique S. Brito, Cristiane Neri Nobre, Alex Alves Freitas, Luis Enrique Zárate:
A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research. WIREs Data Mining Knowl. Discov. 7(3) (2017) - [c16]Wallison William Guimarães, Cristiano Lacerda Nunes Pinto, Cristiane Neri Nobre, Luis E. Zárate:
The Relevance of Upstream and Downstream Regions of mRNA in the Prediction of Translation Initiation Site of the Protein. BIBE 2017: 112-118 - [c15]Jonathan Felipe Xavier, Catherine Putonti, Cristiane Neri Nobre:
Computational Tools for Analysis of Codon Usage in Viral Genomes and its Hosts. BIBE 2017: 437-443 - [c14]Leandro M. Ferreira, Cristiano Lacerda Nunes Pinto, Sérgio M. Dias, Cristiane Neri Nobre, Luis E. Zárate:
Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis. ICEIS (1) 2017: 265-271 - [c13]Andressa P. C. de Oliveira, Pedro Henrique Batista Ruas da Silveira, Luis E. Zárate, Cristiane Neri Nobre:
Persuasion strategies in mobile systems: a case study of Facebook application. IHC 2017: 42:1-42:10 - 2016
- [j4]Cristiane Neri Nobre, Magali Rezende Gouvêa Meireles, Niltom Vieira Junior, Mônica Neli de Resende, Lucivânia Ester da Costa, Rejane Corrêa da Rocha:
The Use of Geogebra Software as a Calculus Teaching and Learning Tool. Informatics Educ. 15(2): 253-267 (2016) - [c12]Adriano D. Evelin, Kássia C. da Silva, Otaviano F. Neves, Lucila Ishitani, Cristiane Neri Nobre:
Emotional Experience of older adults with Digital Games for Smartphones - a case study of the Brazilian game Viajando pelo Mundo. IHC 2016: 5:1-5:9 - [c11]Pedro Henrique Batista Ruas da Silveira, Cristiane Neri Nobre:
Behavioral Model of Online Social Network Users: an Adaptation of Fogg's Behavior Model. IHC 2016: 40:1-40:4 - 2015
- [j3]Thiago Assis De Oliveira Rodrigues, Larissa Fernandes Leijoto, Poliane C. Oliveira Brandão, Cristiane Neri Nobre:
Predição de função de proteínas através da extração de características físico-químicas. RITA 22(1): 29-51 (2015) - 2014
- [c10]Larissa Fernandes Leijoto, Thiago Assis De Oliveira Rodrigues, Luis Enrique Zárate, Cristiane Neri Nobre:
A Genetic Algorithm for the Selection of Features Used in the Prediction of Protein Function. BIBE 2014: 168-174 - [c9]Pedro Henrique Batista Ruas da Silveira, Cristiane Neri Nobre, Ana Maria Pereira Cardoso:
A influência das estratégias persuasivas no comportamento dos usuários no Facebook. IHC 2014: 255-264 - 2013
- [j2]Fagner Andrade de Oliveira, Cristiane Neri Nobre, Luis E. Zárate:
Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index - Case study of PETR4, Petrobras, Brazil. Expert Syst. Appl. 40(18): 7596-7606 (2013) - 2012
- [c8]Laerte M. Rodrigues, Luis E. Zárate, Cristiane Neri Nobre, Henrique C. Freitas:
Parallel and distributed kmeans to identify the translation initiation site of proteins. SMC 2012: 1639-1645 - [c7]Walkiria K. Resende, Renato A. Nascimento, Carolina R. Xavier, Iara F. Lopes, Cristiane Neri Nobre:
The use of support vector machine and genetic algorithms to predict protein function. SMC 2012: 1773-1778 - 2011
- [c6]Felipe Carvalho de Souza Teixeira, Cristiane Neri Nobre, Livia Marcia Silva, Luis Enrique Zárate:
Prediction of protein translation initiation site from the perspective of imbalanced classes. SMC 2011: 1313-1318 - [c5]Fagner Andrade de Oliveira, Luis Enrique Zárate, Marcos de Azevedo Reis, Cristiane Neri Nobre:
The use of artificial neural networks in the analysis and prediction of stock prices. SMC 2011: 2151-2155 - 2010
- [c4]Diego Marinho de Oliveira, Cristiane Neri Nobre, Luis Henrique Zárate:
Applying neural networks to determine the socio-environmental factors responsible for potable water consumption. SMC 2010: 4346-4353
2000 – 2009
- 2009
- [c3]Diego Marinho de Oliveira, Andre Luis de Oliveira Andrade, Cristiane Neri Nobre, Luis Enrique Zárate:
The usage of Artificial Neural Networks in the classification and forecast of potable water consumption. IJCNN 2009: 2331-2338 - 2007
- [c2]Cristiane Neri Nobre, José Miguel Ortega, Antônio de Pádua Braga:
High Efficiency on Prediction of Translation Initiation Site (TIS) of RefSeq Sequences. BSB 2007: 138-148 - 2006
- [c1]Diogo Vargas Tito, Fernanda de Castro Muniz Netto, Luiz Guilherme Hilel Drumond, Rochester Leon Diniz Parreiras, Sérgio Mariano Dias, Cristiane Neri Nobre:
Avaliação da usabilidade do JEMS - Journal and Event Management System - através de avaliação heurística, ensaios de interação e questionários de satisfação. IHC 2006: 67
1990 – 1999
- 1999
- [j1]Cristiane Nobre, E. Martineli, Antônio de Pádua Braga, André Carlos Ponce de Leon Ferreira de Carvalho, S. Rezende, José L. Braga, Teresa Bernarda Ludermir:
Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods. Int. J. Neural Syst. 9(3): 257-264 (1999)
Coauthor Index
Luis E. Zárate
aka: Luis Enrique Zárate
aka: Luis Enrique Zárate Gálvez
aka: Luis Henrique Zárate
aka: Luiz Zárate
aka: Luis Enrique Zárate
aka: Luis Enrique Zárate Gálvez
aka: Luis Henrique Zárate
aka: Luiz Zárate
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