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 (ISDA, 2007)

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 (FLAIRS, 2008)

A performance evaluation tool for multi-sensor classification systems. - Rommel N. Carvalho; Kuo-Chu Chang (FUSION, 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 (FUSION, 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 (Innovative Applications in Data Mining, 2009)

Compatibility Formalization Between PR-OWL and OWL. - Rommel N. Carvalho; Kathryn Blackmond Laskey; Paulo Cesar G. da Costa (UniDL, 2010)

PROGNOS: Predictive situational awareness with probabilistic ontologies. - Rommel N. Carvalho; Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang (FUSION, 2010)

PR-OWL 2.0 - Bridging the gap to OWL semantics. - Rommel N. Carvalho; Kathryn B. Laskey; Paulo Cesar G. da Costa (URSW, 2010)

Modeling a probabilistic ontology for Maritime Domain Awareness. - Rommel N. Carvalho; Richard Haberlin; Paulo Cesar G. da Costa; Kathryn B. Laskey; Kuo-Chu Chang (FUSION, 2011)

Evaluating uncertainty representation and reasoning in HLF systems. - Paulo Cesar G. da Costa; Rommel N. Carvalho; Kathryn B. Laskey; Cheol Young Park (FUSION, 2011)

PR-OWL 2 Case Study: A Maritime Domain Probabilistic Ontology. - Kathryn B. Laskey; Richard Haberlin; Rommel N. Carvalho; Paulo Cesar G. da Costa (STIDS, 2011)

A Fusion Analysis and Evaluation Tool for Multi-Sensor Classification Systems. - Rommel N. Carvalho; Kuo-Chu Chang (J. Adv. Inf. Fusion, 2012)

A GUI for MLN. - Estêvão F. Aguiar; Marcelo Ladeira; Rommel N. Carvalho; Shou Matsumoto (URSW, 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 (URSW, 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 (URSW (LNCS Vol.), 2013)

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 (BRACIS, 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 (URSW (LNCS Vol.), 2014)

Using Bayesian Networks to Identify and Prevent Split Purchases in Brazil. - Rommel N. Carvalho; Leonardo Sales; Henrique A. Da Rocha; Gilson Libório Mendes (BMA@UAI, 2014)

Analyzing Suspicious Medical Visit Claims from Individual Healthcare Service Providers Using K-Means Clustering. - Tiago P. Hillerman; Rommel N. Carvalho; Ana Carla B. Reis (EGOVIS, 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 (EGOVIS, 2015)

Scalable uncertainty treatment using triplestores and the OWL 2 RL profile. - Laécio L. Santos; Rommel N. Carvalho; Marcelo Ladeira; Li Weigang 001; Kathryn B. Laskey; Paulo C. G. Costa (FUSION, 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 001; Gilson Libório Mendes (URSW@ISWC, 2015)

Identifying the Main Problems in IT Auditing: A Comparison Between Unsupervised and Supervised Learning. - Patrícia Maia; Leonardo Sales; Rommel N. Carvalho (EGOVIS, 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 (ICMLA, 2016)

Predicting Recovery of Credit Operations on a Brazilian Bank. - Rogerio G. Lopes; Rommel N. Carvalho; Marcelo Ladeira; Ricardo Silva Carvalho (ICMLA, 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 (ICMLA, 2016)

A Comparison Between Supervised and Unsupervised Models for Identify a Large Number of Categories. - Patricia Andrade; Marcelo Ladeira; Rommel N. Carvalho (IRI, 2016)

Automatic Generation of Probabilistic Ontologies from UMP-ST Model. - Diego Marques de Azevedo; Marcelo Ladeira; Laécio L. Santos; Rommel N. Carvalho (URSW@ISWC, 2016)

A New Algorithm for Generating Situation-Specific Bayesian Networks Using Bayes-Ball Method. - Laécio L. Santos; Rommel N. Carvalho; Marcelo Ladeira; Weigang Li 001 (URSW@ISWC, 2016)

Bayesian Models to Assess Risk of Corruption of Federal Management Units. - Ricardo Silva Carvalho; Rommel Novaes Carvalho (BMA@UAI, 2016)

Measuring the Risk of Public Contracts Using Bayesian Classifiers. - Leonardo Jorge Sales; Rommel Novaes Carvalho (BMA@UAI, 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 (BMA@UAI, 2016)

Uncertainty modeling process for semantic technology. - Rommel N. Carvalho; Kathryn B. Laskey; Paulo Cesar G. da Costa (PeerJ Prepr., 2016)

Predicting Waiting Time Overflow on Bank Teller Queues. - Ricardo Silva Carvalho; Rommel Novaes Carvalho; Guilherme Novaes Ramos; Roberto Nunes Mourão (ICMLA, 2017)

Identifying Anomalies in Parliamentary Expenditures of Brazilian Chamber of Deputies with Deep Autoencoders. - Thiago Alencar Gomes; Rommel Novaes Carvalho; Ricardo Silva Carvalho (ICMLA, 2017)

Evaluating the Use of Brazilian Companies' Financial Footnotes Texts for Debt Variation Prediction. - Augusto Cesar Araujo Maeda; Ricardo Silva Carvalho; Rommel Novaes Carvalho (ICMLA, 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 (ICMLA, 2017)

Two-phase Parallel Learning to Identify Similar Structures Among Relational Databases. - Debora G. Reis; Rommel N. Carvalho; Ricardo S. Carvalho; Marcelo Ladeira (ICMLA, 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 (IJCNN, 2017)

Detecting Evidence of Fraud in the Brazilian Government Using Graph Databases. - Gustavo Cordeiro Galvão Van Erven; Maristela Holanda; Rommel N. Carvalho (WorldCIST (2), 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 (WorldCIST (1), 2017)

PR-OWL - a language for defining probabilistic ontologies. - Rommel N. Carvalho; Kathryn B. Laskey; Paulo C. G. Costa (Int. J. Approx. Reason., 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)

GRAPHED: A Graph Description Diagram for Graph Databases. - Gustavo Cordeiro Galvão Van Erven; Waldeyr Mendes Cordeiro da Silva; Rommel N. Carvalho; Maristela Holanda (WorldCIST (1), 2018)

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)