A multi-agent intelligent environment for medical knowledge. - Rosa Maria Vicari; Cecilia Dias Flores; André M. Silvestre; Louise J. Seixas; Marcelo Ladeira; Helder Coelho (Artif. Intell. Medicine, 2003)

Informed K-Means: A Clustering Process biased by Prior Knowledge. - Wagner Francisco Castilho; Hércules Antônio do Prado; Marcelo Ladeira (ICEIS (2), 2004)

Contributions of KDD to the Knowledge Management Process: a Case Study. - Paulo de Tarso Costa de Sousa; Hércules Antônio do Prado; Eduardo Amadeu Dutra Moresi; Marcelo Ladeira (CLEI Electron. J., 2004)

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)

Sistema de Classificação Automática de Carcaças Bovinas. - Carmen Dalla Rosa Bittencourt; Marcelo Ladeira; Saul Fontoura da Silva; Anderson Luis S. Bittencourt; Díbio Leandro Borges (SBSI, 2008)

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)

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)

The Role of Text Pre-processing in Opinion Mining on a Social Media Language Dataset. - Fernando Leandro dos Santos; Marcelo Ladeira (BRACIS, 2014)

Is it Possible to Generate Good Earthquake Risk Models Using Genetic Algorithms?. - Claus de Castro Aranha; Yuri Cossich Lavinas; Marcelo Ladeira; Bogdan Enescu (IJCCI (ECTA), 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)

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)

An Approach for Text Mining Based on Noun Phrases. - Marcello Sandi Pinheiro; Hércules Antônio do Prado; Edilson Ferneda; Marcelo Ladeira (KES-IDT, 2015)

Uso de âncoras verbais em sistema fuzzy para facilitar a criação de mapas estratégicos iniciais: um estudo de caso [Verbal anchor usage on fuzzy systems to help creating initial strategy maps: case study]. - Marcelo Ladeira; Fernando de Albuquerque Linhares (SBSI, 2015)

A Verbal Anchor based Fuzzy System to help business managers build Balanced Scorecards Strategy Maps. - Marcelo Ladeira; Fernando de Albuquerque Linhares (SBSI, 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)

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)

Exploring the combination of software visualization and data clustering in the software architecture recovery process. - Renato Paiva; Genaína Nunes Rodrigues; Rodrigo Bonifácio; Marcelo Ladeira (SAC, 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)

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

Detecting Fake Suppliers using Deep Image Features. - Jonas Wacker; Rodrigo Peres Ferreira; Marcelo Ladeira (BRACIS, 2018)

A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem. - Icaro Marcelino Miranda; Marcelo Ladeira; Claus de Castro Aranha (CEC, 2018)

Large Database Schema Matching using Data Mining Techniques. - Debora Gomes dos Reis; Marcelo Ladeira; Maristela Holanda; Márcio de Carvalho Victorino (ICDM Workshops, 2018)

Experimental Analysis of the Tournament Size on Genetic Algorithms. - Yuri Cossich Lavinas; Claus Aranha; Tetsuya Sakurai; Marcelo Ladeira (SMC, 2018)

An Evaluation of Data Model for NoSQL Document-Based Databases. - Debora G. Reis; Fabio S. Gasparoni; Maristela Holanda; Márcio Victorino; Marcelo Ladeira; Edward de Oliveira Ribeiro (WorldCIST (1), 2018)

Influence of algorithmic abstraction and mathematical knowledge on rates of dropout from Computing degree courses. - Raphael Magalhães Hoed; Marcelo Ladeira; Leticia Lopes Leite (J. Braz. Comput. Soc., 2018)

Classification of EEG signals using genetic programming for feature construction. - Icaro Marcelino Miranda; Claus Aranha; Marcelo Ladeira (GECCO, 2019)

Using Text Mining to Categorize the Purpose of Public Spending for the Benefit of Transparency and Accountability. - Mauricio Barros de Jesus; Gladston Luiz da Silva; Marcelo Ladeira; Gustavo Cordeiro Galvão Van Erven (ICMLA, 2019)

Does Semantic Search Performs Better than Lexical Search in the Task of Assisting Legal Opinion Writing? - Daniel de Souza Costa Pedroso; Marcelo Ladeira; Thiago de Paulo Faleiros (ICMLA, 2019)

Machine Learning Models to Identify the Risk of Modern Slavery in Brazilian Cities. - Marlu da Silva Santos; Marcelo Ladeira; Gustavo Cordeiro Galvão Van Erven; Gladston Luiz da Silva (ICMLA, 2019)

Educational Data Mining: Analysis of Drop out of Engineering Majors at the UnB - Brazil. - Rodrigo da Fonseca Silveira; Maristela Holanda; Márcio de Carvalho Victorino; Marcelo Ladeira (ICMLA, 2019)

Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics. - Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira (TPNC, 2019)

Transfer Learning for Brain Tumor Segmentation. - Jonas Wacker; Marcelo Ladeira; José Eduardo Vaz Nascimento (BrainLes@MICCAI (1), 2020)

MOEA/D with Random Partial Update Strategy. - Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira; Felipe Campelo (CEC, 2020)

A proposal for online analysis and identification of fraudulent financial transactions. - Rodrigo Araujo Lima Torres; Marcelo Ladeira (ICMLA, 2020)

A new conceptual framework for enhancing legal information retrieval at the Brazilian Superior Court of Justice. - Thiago Gomes; Marcelo Ladeira (MEDES, 2020)

Machine Learning Predictive Model for the Passive Transparency at the Brazilian Ministry of Mines and Energy. - Ingrid Palma Araújo; Marcelo Ladeira; Ana Carla Bittencourt Reis (DG.O, 2021)

Exploring Constraint Handling Techniques in Real-World Problems on MOEA/D with Limited Budget of Evaluations. - Felipe Vaz; Yuri Cossich Lavinas; Claus Aranha; Marcelo Ladeira (EMO, 2021)

A proposal to identify stakeholders from news for the institutional relationship management activities of an institution based on Named Entity Recognition using BERT. - Eric Hans Messias Da Silva; João Laterza; Marcos Paulo Pereira Da Silva; Marcelo Ladeira (ICMLA, 2021)

Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition. - Yuri Cossich Lavinas; Marcelo Ladeira; Claus Aranha (CoRR, 2021)

A Probabilistically-Oriented Analysis of the Performance of ASR Systems for Brazilian Radios and TVs. - Diego Marques de Azevedo; Guilherme Souza Rodrigues; Marcelo Ladeira (BRACIS (2), 2022)

Component-wise analysis of automatically designed multiobjective algorithms on constrained problems. - Yuri Cossich Lavinas; Marcelo Ladeira; Gabriela Ochoa; Claus Aranha (GECCO, 2022)

Detecção de botnets baseada na análise de fluxos de rede utilizando estatística inversa. - Daniele A. G. Lopes; Marcelo Antonio Marotta; Marcelo Ladeira; João J. C. Gondim (SBRC, 2022)

Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition. - Yuri Cossich Lavinas; Marcelo Ladeira; Claus Aranha (Evol. Comput., 2022)

Multiobjective Evolutionary Component Effect on Algorithm Behavior. - Yuri Cossich Lavinas; Marcelo Ladeira; Gabriela Ochoa; Claus Aranha (GECCO Companion, 2024)

Multiobjective Evolutionary Component Effect on Algorithm Behaviour. - Yuri Cossich Lavinas; Marcelo Ladeira; Gabriela Ochoa; Claus Aranha (ACM Trans. Evol. Learn. Optim., 2024)