Cristiane Nobre

Orcid: 0000-0001-8517-9852

Affiliations:
  • Pontifical Catholic University of Minas Gerais, Belo Horizonte, Brazil


According to our database1, Cristiane Nobre authored at least 65 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Improving the Instance Selection Method for Better Detection of Depression in Children and Adolescents.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

Underdiagnosed Depression in Older Adults: Analysis of the National Health Survey and Other Aggregate Factors.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

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.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
CSSE - An agnostic method of counterfactual, selected, and social explanations for classification models.
Expert Syst. Appl., October, 2023

Prediction of enzymatic function with high efficiency and a reduced number of features using genetic algorithm.
Comput. Biol. Medicine, May, 2023

The Use of Machine Learning to Predict Hospitalization of Covid-19: A Case Study in the State of Minas Gerais - Brazil.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
Evaluating Cognitive Privacy Heuristics that Influence Facebook Users Data Disclosure.
J. Internet Serv. Appl., 2022

Developing an edutainment game, taboo!, for children with ADHD based on socially aware design and VCIA model.
Proceedings of the 21st Brazilian Symposium on Human Factors in Computing Systems, 2022

Application of Formal Concept Analysis and Data Mining to Characterize Infant Mortality in Two Regions of the State of Minas Gerais.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Formal Concept Analysis Applied to a Longitudinal Study of COVID-19.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

A Review of the Main Factors, Computational Methods, and Databases Used in Depression Studies.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Selection of Representative Instances using Ant Colony: A Case Study in a Database of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Predicting Depression in Children and Adolescents using the SHAP Approach.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

Data Balancing using Deep Convolutional Generative Adversarial Networks (DCGAN) in Patients with Congenital Syndrome by Zika Virus.
Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021
Evaluating biological characteristics for protein function prediction using support vector machine.
Int. J. Bioinform. Res. Appl., 2021

Characterizing Infant Mortality Using Data Mining - A Case Study in Two Brazilian States - Santa Catarina and Amapá.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Interpreting the Human Longevity Profile Through Triadic Rules - A Case Study Based on the ELSA-UK Longitudinal Study.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Applying Formal Concept Analysis for the Recognition of Infant Mortality Patterns.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Predictions of Academic Performance of Children and Adolescents with ADHD Using the SHAP Approach.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

The Use of Convolutional Neural Networks in the Prediction of Invasive Ductal Carcinoma in Histological Images of Breast Cancer.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 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.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Analysis of School Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Dimensionality Reduction Approach.
Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, 2021

Towards Interpretable Machine Learning Models to Aid the Academic Performance of Children and Adolescents with Attention-Deficit/Hyperactivity Disorder.
Proceedings of the Biomedical Engineering Systems and Technologies, 2021

2020
Characterization of long-lived and non-long lived profiles through biclustering.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Applying binary decision diagram to extract concepts from triadic formal context.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Evaluation of digital games for autistic children using heuristics and observation tests.
Proceedings of the IHC '20: XIX Brazilian Symposium on Human Factors in Computing Systems, 2020

2019
Feature Selection and Comparison of Classifiers for Protein Function Prediction.
J. Inf. Data Manag., 2019

A Fast Parallel K-Modes Algorithm for Clustering Nucleotide Sequences to Predict Translation Initiation Sites.
J. Comput. Biol., 2019

Proteingo: Motivation, user experience, and learning of molecular interactions in biological complexes.
Entertain. Comput., 2019

Identification and characterisation of Facebook user profiles considering interaction aspects.
Behav. Inf. Technol., 2019

Feature selection with genetic algorithm for protein function prediction.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Classification and Characterization of Children and Adolescents with Depressive Symptomatology using Machine Learning.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Improving the quality of enzyme prediction by using feature selection and dimensionality reduction.
Proceedings of the International Joint Conference on Neural Networks, 2019

Genetic Algorithms for Feature Selection in the Children and Adolescents Depression Context.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Rule Induction Algorithms Applied in Educational Data Set.
Proceedings of the 11th International Conference on Computer Supported Education, 2019

Knowledge Extraction from Vector Machine Support in the Context of Depression in Children and Adolescents.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2019

2018
Emotionally Oriented Analysis of the Experiences of Visually Impaired People on Facebook.
ACM Trans. Access. Comput., 2018

Cascade Support Vector Machines applied to the Translation Initiation Site prediction problem.
J. Inf. Data Manag., 2018

Evaluation of inductive and transductive inference in the context of translation initiation site.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

TCSVM - A Cascade Approach with Transductive Inference to Predicting Protein Translation Initiation Site.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multi-Objective Genetic Algorithm for Feature Selection in a Protein Function Prediction Context.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A revision and analysis of the comprehensiveness of the main longitudinal studies of human aging for data mining research.
WIREs Data Mining Knowl. Discov., 2017

Persuasive technology in online social networks: a systematic literature review.
Int. J. Web Based Communities, 2017

Transductive learning as an alternative to translation initiation site identification.
BMC Bioinform., 2017

Algorithms Analysis in Adjusting the SVM Parameters: An Approach in the Prediction of Protein Function.
Appl. Artif. Intell., 2017

Persuasion strategies in mobile systems: a case study of Facebook application.
Proceedings of the XVI Brazilian Symposium on Human Factors in Computing Systems, 2017

Extraction of Conservative Rules for Translation Initiation Site Prediction using Formal Concept Analysis.
Proceedings of the ICEIS 2017, 2017

Computational Tools for Analysis of Codon Usage in Viral Genomes and its Hosts.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

The Relevance of Upstream and Downstream Regions of mRNA in the Prediction of Translation Initiation Site of the Protein.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016
The Use of Geogebra Software as a Calculus Teaching and Learning Tool.
Informatics Educ., 2016

Behavioral Model of Online Social Network Users: an Adaptation of Fogg's Behavior Model.
Proceedings of the 15th Brazilian Symposium on Human Factors in Computer Systems, 2016

Emotional Experience of older adults with Digital Games for Smartphones - a case study of the Brazilian game Viajando pelo Mundo.
Proceedings of the 15th Brazilian Symposium on Human Factors in Computer Systems, 2016

2015
Predição de função de proteínas através da extração de características físico-químicas.
RITA, 2015

2014
A influência das estratégias persuasivas no comportamento dos usuários no Facebook.
Proceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems, 2014

A Genetic Algorithm for the Selection of Features Used in the Prediction of Protein Function.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2013
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., 2013

2012
Parallel and distributed kmeans to identify the translation initiation site of proteins.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

The use of support vector machine and genetic algorithms to predict protein function.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

2011
Prediction of protein translation initiation site from the perspective of imbalanced classes.
Proceedings of the IEEE International Conference on Systems, 2011

The use of artificial neural networks in the analysis and prediction of stock prices.
Proceedings of the IEEE International Conference on Systems, 2011

2010
Applying neural networks to determine the socio-environmental factors responsible for potable water consumption.
Proceedings of the IEEE International Conference on Systems, 2010

2009
The usage of Artificial Neural Networks in the classification and forecast of potable water consumption.
Proceedings of the International Joint Conference on Neural Networks, 2009

2007
High Efficiency on Prediction of Translation Initiation Site (TIS) of RefSeq Sequences.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2007

2006
Avaliação da usabilidade do JEMS - <i>Journal and Event Management System</i> - através de avaliação heurística, ensaios de interação e questionários de satisfação.
Proceedings of the VII Symposium on Human Factors in Computer Systems, 2006

1999
Knowledge Extraction: A Comparison between Symbolic and Connectionist Methods.
Int. J. Neural Syst., 1999


  Loading...