| 2024 | GECCO | Multiobjective Evolutionary Component Effect on Algorithm Behavior. | Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha |
| 2022 | GECCO | Component-wise analysis of automatically designed multiobjective algorithms on constrained problems. | Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha |
| 2021 | EMO | 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 |
| 2021 | ICMLA | 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, Joo Laterza, Marcos Paulo Pereira Da Silva, Marcelo Ladeira |
| 2020 | CEC | MOEA/D with Random Partial Update Strategy. | Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo |
| 2020 | ICMLA | A proposal for online analysis and identification of fraudulent financial transactions. | Rodrigo Araujo Lima Torres, Marcelo Ladeira |
| 2020 | MEDES | A new conceptual framework for enhancing legal information retrieval at the Brazilian Superior Court of Justice. | Thiago Gomes, Marcelo Ladeira |
| 2019 | GECCO | Classification of EEG signals using genetic programming for feature construction. | Icaro Marcelino Miranda, Claus Aranha, Marcelo Ladeira |
| 2019 | ICMLA | 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 Galvo Van Erven |
| 2019 | ICMLA | 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 |
| 2019 | ICMLA | Machine Learning Models to Identify the Risk of Modern Slavery in Brazilian Cities. | Marlu da Silva Santos, Marcelo Ladeira, Gustavo Cordeiro Galvo Van Erven, Gladston Luiz da Silva |
| 2019 | ICMLA | Educational Data Mining: Analysis of Drop out of Engineering Majors at the UnB - Brazil. | Rodrigo da Fonseca Silveira, Maristela Holanda, Mrcio de Carvalho Victorino, Marcelo Ladeira |
| 2018 | CEC | A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem. | Icaro Marcelino Miranda, Marcelo Ladeira, Claus de Castro Aranha |
| 2018 | ICDM | Large Database Schema Matching using Data Mining Techniques. | Debora Gomes dos Reis, Marcelo Ladeira, Maristela Holanda, Mrcio de Carvalho Victorino |
| 2018 | SMC | Experimental Analysis of the Tournament Size on Genetic Algorithms. | Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai, Marcelo Ladeira |
| 2018 | WorldCIST | An Evaluation of Data Model for NoSQL Document-Based Databases. | Debora G. Reis, Fabio S. Gasparoni, Maristela Holanda, Mrcio Victorino, Marcelo Ladeira, Edward de Oliveira Ribeiro |
| 2017 | ICMLA | Two-phase Parallel Learning to Identify Similar Structures Among Relational Databases. | Debora G. Reis, Rommel N. Carvalho, Ricardo S. Carvalho, Marcelo Ladeira |
| 2016 | ICMLA | Predicting Recovery of Credit Operations on a Brazilian Bank. | Rogrio Gomes Lopes, Rommel N. Carvalho, Marcelo Ladeira, Ricardo Silva Carvalho |
| 2016 | ICMLA | Deep Learning Anomaly Detection as Support Fraud Investigation in Brazilian Exports and Anti-Money Laundering. | Ebberth L. Paula, Marcelo Ladeira, Rommel N. Carvalho, Thiago Marzago |
| 2016 | IRI | A Comparison Between Supervised and Unsupervised Models for Identify a Large Number of Categories. | Patricia Andrade, Marcelo Ladeira, Rommel N. Carvalho |
| 2016 | SAC | Exploring the combination of software visualization and data clustering in the software architecture recovery process. | Renato Paiva, Genana Nunes Rodrigues, Rodrigo Bonifcio, Marcelo Ladeira |
| 2015 | FUSION | Scalable uncertainty treatment using triplestores and the OWL 2 RL profile. | Lacio L. Santos, Rommel N. Carvalho, Marcelo Ladeira, Li Weigang, Kathryn B. Laskey, Paulo C. G. Costa |
| 2014 | IJCCI | Is it Possible to Generate Good Earthquake Risk Models Using Genetic Algorithms?. | Claus de Castro Aranha, Yuri Cossich Lavinas, Marcelo Ladeira, Bogdan Enescu |
| 2008 | FlAIRS | A First-Order Bayesian Tool for Probabilistic Ontologies. | Paulo Cesar G. da Costa, Marcelo Ladeira, Rommel N. Carvalho, Kathryn B. Laskey, Lacio L. Santos, Shou Matsumoto |
| 2007 | ISDA | A GUI Tool for Plausible Reasoning in the Semantic Web using MEBN. | Rommel N. Carvalho, Lacio L. Santos, Marcelo Ladeira, Paulo Cesar G. da Costa |