Rommel N. Carvalho

According to our database, Rommel N. Carvalho authored at least 45 papers between 2007 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Designing Graph Databases With GRAPHED.

Gustavo Cordeiro Galvão Van Erven, Rommel Novaes Carvalho, Waldeyr Mendes Cordeiro da Silva, Sérgio Lifschitz, Harley Vera Olivera, Maristela Holanda

J. Database Manag., 2019

2018

GRAPHED: A Graph Description Diagram for Graph Databases.

Gustavo Cordeiro Galvão Van Erven, Waldeyr Mendes Cordeiro da Silva, Rommel N. Carvalho, Maristela Holanda

Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

2017

Applying clustering and AHP methods for evaluating suspect healthcare claims.

Tiago P. Hillerman, João Carlos Félix Souza, Ana Carla B. Reis, Rommel N. Carvalho

J. Comput. Sci., 2017

PR-OWL - a language for defining probabilistic ontologies.

Rommel N. Carvalho, Kathryn B. Laskey, Paulo C. G. Costa

Int. J. Approx. Reason., 2017

Educational Data Mining: Discovery Standards of Academic Performance by Students in Public High Schools in the Federal District of Brazil.

Eduardo Fernandes, Rommel N. Carvalho, Maristela Holanda, Gustavo Cordeiro Galvão Van Erven

Proceedings of the Recent Advances in Information Systems and Technologies, 2017

Detecting Evidence of Fraud in the Brazilian Government Using Graph Databases.

Gustavo Cordeiro Galvão Van Erven, Maristela Holanda, Rommel N. Carvalho

Proceedings of the Recent Advances in Information Systems and Technologies, 2017

Brazil's Bolsa Familia and young adult workers: A parallel RDD approach to large datasets.

Aloisio Dourado, Rommel N. Carvalho, Gustavo Cordeiro Galvão Van Erven

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Two-phase Parallel Learning to Identify Similar Structures Among Relational Databases.

Debora G. Reis, Rommel N. Carvalho, Ricardo S. Carvalho, Marcelo Ladeira

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Early Prediction of College Attrition Using Data Mining.

Luiz Carlos Barbosa Martins, Rommel N. Carvalho, Ricardo S. Carvalho, Márcio de Carvalho Victorino, Maristela Holanda

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Evaluating the Use of Brazilian Companies' Financial Footnotes Texts for Debt Variation Prediction.

Augusto Cesar Araujo Maeda, Ricardo Silva Carvalho, Rommel Novaes Carvalho

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders.

Thiago Alencar Gomes, Rommel Novaes Carvalho, Ricardo Silva Carvalho

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Predicting Waiting Time Overflow on Bank Teller Queues.

Ricardo Silva Carvalho, Rommel Novaes Carvalho, Guilherme Novaes Ramos, Roberto Nunes Mourão

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Uncertainty modeling process for semantic technology.

Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa

PeerJ Prepr., 2016

Bayesian Networks on Income Tax Audit Selection - A Case Study of Brazilian Tax Administration.

Leon Sólon da Silva, Henrique Rigitano, Rommel Novaes Carvalho, João Carlos Félix Souza

Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

Measuring the Risk of Public Contracts Using Bayesian Classifiers.

Leonardo Jorge Sales, Rommel Novaes Carvalho

Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

Bayesian Models to Assess Risk of Corruption of Federal Management Units.

Ricardo Silva Carvalho, Rommel Novaes Carvalho

Proceedings of the 13th UAI Bayesian Modeling Applications Workshop (BMAW 2016) co-located with the 32nd Conference on Uncertainty in Artificial Intelligence (UAI 2016), 2016

A New Algorithm for Generating Situation-Specific Bayesian Networks Using Bayes-Ball Method.

Laécio L. Santos, Rommel N. Carvalho, Marcelo Ladeira, Weigang Li

Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016), 2016

Automatic Generation of Probabilistic Ontologies from UMP-ST Model.

Diego Marques de Azevedo, Marcelo Ladeira, Laécio L. Santos, Rommel N. Carvalho

Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016), 2016

A Comparison Between Supervised and Unsupervised Models for Identify a Large Number of Categories.

Patricia Andrade, Marcelo Ladeira, Rommel N. Carvalho

Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Deep Learning Anomaly Detection as Support Fraud Investigation in Brazilian Exports and Anti-Money Laundering.

Ebberth L. Paula, Marcelo Ladeira, Rommel N. Carvalho, Thiago Marzagão

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Predicting Recovery of Credit Operations on a Brazilian Bank.

Rogerio G. Lopes, Rommel N. Carvalho, Marcelo Ladeira, Ricardo Silva Carvalho

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Identifying IT Purchases Anomalies in the Brazilian Government Procurement System Using Deep Learning.

Silvio L. Domingos, Rommel N. Carvalho, Ricardo Silva Carvalho, Guilherme Novaes Ramos

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Identifying the Main Problems in IT Auditing: A Comparison Between Unsupervised and Supervised Learning.

Patrícia Maia, Leonardo Sales, Rommel N. Carvalho

Proceedings of the Electronic Government and the Information Systems Perspective, 2016

2015

PR-OWL 2 RL - A Language for Scalable Uncertainty Reasoning on the Semantic Web information.

Laécio L. dos Santos, Rommel N. Carvalho, Marcelo Ladeira, Weigang Li, Gilson Libório Mendes

Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), 2015

Scalable uncertainty treatment using triplestores and the OWL 2 RL profile.

Laécio L. Santos, Rommel N. Carvalho, Marcelo Ladeira, Li Weigang, Kathryn B. Laskey, Paulo C. G. Costa

Proceedings of the 18th International Conference on Information Fusion, 2015

Predictive Models on Tax Refund Claims - Essays of Data Mining in Brazilian Tax Administration.

Leon Sólon da Silva, Rommel Novaes Carvalho, João Carlos Félix Souza

Proceedings of the Electronic Government and the Information Systems Perspective, 2015

Analyzing Suspicious Medical Visit Claims from Individual Healthcare Service Providers Using K-Means Clustering.

Tiago P. Hillerman, Rommel N. Carvalho, Ana Carla B. Reis

Proceedings of the Electronic Government and the Information Systems Perspective, 2015

2014

Using Bayesian Networks to Identify and Prevent Split Purchases in Brazil.

Rommel N. Carvalho, Leonardo Sales, Henrique A. Da Rocha, Gilson Libório Mendes

Proceedings of the Eleventh UAI Bayesian Modeling Applications Workshop co-located with the 30th Conference on Uncertainty in Artificial Intelligence, 2014

UMP-ST Plug-in: Documenting, Maintaining and Evolving Probabilistic Ontologies Using UnBBayes Framework.

Rommel N. Carvalho, Laécio L. dos Santos, Marcelo Ladeira, Henrique A. Da Rocha, Gilson Libório Mendes

Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014

Using Political Party Affiliation Data to Measure Civil Servants' Risk of Corruption.

Ricardo Silva Carvalho, Rommel Novaes Carvalho, Marcelo Ladeira, Fernando Mendes Monteiro, Gilson Libório de Oliveira Mendes

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil.

Rommel N. Carvalho, Shou Matsumoto, Kathryn B. Laskey, Paulo Cesar G. da Costa, Marcelo Ladeira, Laécio L. Santos

Proceedings of the Uncertainty Reasoning for the Semantic Web II, 2013

UMP-ST plug-in: A Tool for Documenting, Maintaining, and Evolving Probabilistic Ontologies.

Rommel N. Carvalho, Marcelo Ladeira, Rafael Mezzomo de Souza, Shou Matsumoto, Henrique A. Da Rocha, Gilson Libório Mendes

Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

A GUI for MLN.

Estêvão F. Aguiar, Marcelo Ladeira, Rommel N. Carvalho, Shou Matsumoto

Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

2012

A Fusion Analysis and Evaluation Tool for Multi-Sensor Classification Systems.

Rommel N. Carvalho, Kuo-Chu Chang

J. Adv. Inf. Fusion, 2012

2011

PR-OWL 2 Case Study: A Maritime Domain Probabilistic Ontology.

Kathryn B. Laskey, Richard Haberlin, Rommel N. Carvalho, Paulo Cesar G. da Costa

Proceedings of the Sixth International Conference on Semantic Technologies for Intelligence, 2011

Evaluating uncertainty representation and reasoning in HLF systems.

Paulo Cesar G. da Costa, Rommel N. Carvalho, Kathryn B. Laskey, Cheol Young Park

Proceedings of the 14th International Conference on Information Fusion, 2011

Modeling a probabilistic ontology for Maritime Domain Awareness.

Rommel N. Carvalho, Richard Haberlin, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang

Proceedings of the 14th International Conference on Information Fusion, 2011

2010

PR-OWL 2.0 - Bridging the gap to OWL semantics.

Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa

Proceedings of the 6th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2010), 2010

PROGNOS: Predictive situational awareness with probabilistic ontologies.

Rommel N. Carvalho, Paulo Cesar G. da Costa, Kathryn B. Laskey, Kuo-Chu Chang

Proceedings of the 13th Conference on Information Fusion, 2010

Compatibility Formalization Between PR-OWL and OWL.

Rommel N. Carvalho, Kathryn Blackmond Laskey, Paulo Cesar G. da Costa

Proceedings of the First International Workshop on Uncertainty in Description Logics, 2010

2009

A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN.

Rommel N. Carvalho, Marcelo Ladeira, Laécio L. Santos, Shou Matsumoto, Paulo Cesar G. da Costa

Proceedings of the Innovative Applications in Data Mining, 2009

A multi-disciplinary approach to high level fusion in predictive situational awareness.

Paulo Cesar G. da Costa, Kuo-Chu Chang, Kathryn B. Laskey, Rommel N. Carvalho

Proceedings of the 12th International Conference on Information Fusion, 2009

A performance evaluation tool for multi-sensor classification systems.

Rommel N. Carvalho, Kuo-Chu Chang

Proceedings of the 12th International Conference on Information Fusion, 2009

2008

A First-Order Bayesian Tool for Probabilistic Ontologies.

Paulo Cesar G. da Costa, Marcelo Ladeira, Rommel N. Carvalho, Kathryn B. Laskey, Laécio L. Santos, Shou Matsumoto

Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007

A GUI Tool for Plausible Reasoning in the Semantic Web using MEBN.

Rommel N. Carvalho, Laécio L. Santos, Marcelo Ladeira, Paulo Cesar G. da Costa

Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007