Marcelo Ladeira

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 38

Top Topics

Constraint Handling

Optimization Algorithm

Top Venues

Publications

Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha
Multiobjective Evolutionary Component Effect on Algorithm Behaviour. ACM Trans. Evol. Learn. Optim. 4 (2) (2024)
Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha
Multiobjective Evolutionary Component Effect on Algorithm Behavior. GECCO Companion (2024)
Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha
Multiobjective Evolutionary Component Effect on Algorithm behavior. CoRR (2023)
Yuri Cossich Lavinas, Marcelo Ladeira, Claus Aranha
Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition. Evol. Comput. 30 (3) (2022)
Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha
Component-wise analysis of automatically designed multiobjective algorithms on constrained problems. GECCO (2022)
Daniele A. G. Lopes, Marcelo Antonio Marotta, Marcelo Ladeira, João J. C. Gondim
Detecção de botnets baseada na análise de fluxos de rede utilizando estatística inversa. SBRC (2022)
Diego Marques de Azevedo, Guilherme Souza Rodrigues, Marcelo Ladeira
A Probabilistically-Oriented Analysis of the Performance of ASR Systems for Brazilian Radios and TVs. BRACIS (2) (2022)
Eric Hans Messias Da Silva, João Laterza, Marcos Paulo Pereira Da Silva, Marcelo Ladeira
A proposal to identify stakeholders from news for the institutional relationship management activities of an institution based on Named Entity Recognition using BERT. ICMLA (2021)
Ingrid Palma Araújo, Marcelo Ladeira, Ana Carla Bittencourt Reis
Machine Learning Predictive Model for the Passive Transparency at the Brazilian Ministry of Mines and Energy. DG.O (2021)
Yuri Cossich Lavinas, Marcelo Ladeira, Claus Aranha
Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition. CoRR (2021)
Felipe Vaz, Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira
Exploring Constraint Handling Techniques in Real-World Problems on MOEA/D with Limited Budget of Evaluations. EMO (2021)
Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo
MOEA/D with Random Partial Update Strategy. CEC (2020)
Jonas Wacker, Marcelo Ladeira, José Eduardo Vaz Nascimento
Transfer Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2020)
Rodrigo Araujo Lima Torres, Marcelo Ladeira
A proposal for online analysis and identification of fraudulent financial transactions. ICMLA (2020)
Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo
MOEA/D with Random Partial Update Strategy. CoRR (2020)
Felipe Vaz, Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira
Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations. CoRR (2020)
Thiago Gomes, Marcelo Ladeira
A new conceptual framework for enhancing legal information retrieval at the Brazilian Superior Court of Justice. MEDES (2020)
Icaro Marcelino Miranda, Claus Aranha, Marcelo Ladeira
Classification of EEG signals using genetic programming for feature construction. GECCO (2019)
Marlu da Silva Santos, Marcelo Ladeira, Gustavo Cordeiro Galvão Van Erven, Gladston Luiz da Silva
Machine Learning Models to Identify the Risk of Modern Slavery in Brazilian Cities. ICMLA (2019)
Jonas Wacker, Marcelo Ladeira, José Eduardo Vaz Nascimento
Transfer Learning for Brain Tumor Segmentation. CoRR (2019)
Rodrigo da Fonseca Silveira, Maristela Holanda, Márcio de Carvalho Victorino, Marcelo Ladeira
Educational Data Mining: Analysis of Drop out of Engineering Majors at the UnB - Brazil. ICMLA (2019)
Icaro Marcelino Miranda, Claus Aranha, Marcelo Ladeira
Classification of EEG Signals using Genetic Programming for Feature Construction. CoRR (2019)
Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira
Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics. TPNC (2019)
Mauricio Barros de Jesus, Gladston Luiz da Silva, Marcelo Ladeira, Gustavo Cordeiro Galvão Van Erven
Using Text Mining to Categorize the Purpose of Public Spending for the Benefit of Transparency and Accountability. ICMLA (2019)
Daniel de Souza Costa Pedroso, Marcelo Ladeira, Thiago de Paulo Faleiros
Does Semantic Search Performs Better than Lexical Search in the Task of Assisting Legal Opinion Writing? ICMLA (2019)
Raphael Magalhães Hoed, Marcelo Ladeira, Leticia Lopes Leite
Influence of algorithmic abstraction and mathematical knowledge on rates of dropout from Computing degree courses. J. Braz. Comput. Soc. 24 (1) (2018)
Jonas Wacker, Rodrigo Peres Ferreira, Marcelo Ladeira
Detecting Fake Suppliers using Deep Image Features. BRACIS (2018)
Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai, Marcelo Ladeira
Experimental Analysis of the Tournament Size on Genetic Algorithms. SMC (2018)
Icaro Marcelino Miranda, Marcelo Ladeira, Claus de Castro Aranha
A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem. CEC (2018)
Debora Gomes dos Reis, Marcelo Ladeira, Maristela Holanda, Márcio de Carvalho Victorino
Large Database Schema Matching using Data Mining Techniques. ICDM Workshops (2018)
Debora G. Reis, Fabio S. Gasparoni, Maristela Holanda, Márcio Victorino, Marcelo Ladeira, Edward de Oliveira Ribeiro
An Evaluation of Data Model for NoSQL Document-Based Databases. WorldCIST (1) (2018)
Debora G. Reis, Rommel N. Carvalho, Ricardo S. Carvalho, Marcelo Ladeira
Two-phase Parallel Learning to Identify Similar Structures Among Relational Databases. ICMLA (2017)
Rogerio G. Lopes, Rommel N. Carvalho, Marcelo Ladeira, Ricardo Silva Carvalho
Predicting Recovery of Credit Operations on a Brazilian Bank. ICMLA (2016)
Renato Paiva, Genaína Nunes Rodrigues, Rodrigo Bonifácio, Marcelo Ladeira
Exploring the combination of software visualization and data clustering in the software architecture recovery process. SAC (2016)
Diego M. Azevedo, Marcelo Ladeira, Laécio L. Santos, Rommel N. Carvalho
Automatic Generation of Probabilistic Ontologies from UMP-ST Model. URSW@ISWC (2016)
Ebberth L. Paula, Marcelo Ladeira, Rommel N. Carvalho, Thiago Marzagão
Deep Learning Anomaly Detection as Support Fraud Investigation in Brazilian Exports and Anti-Money Laundering. ICMLA (2016)
Patricia Andrade, Marcelo Ladeira, Rommel N. Carvalho
A Comparison Between Supervised and Unsupervised Models for Identify a Large Number of Categories. IRI (2016)
Laécio L. Santos, Rommel N. Carvalho, Marcelo Ladeira, Weigang Li
A New Algorithm for Generating Situation-Specific Bayesian Networks Using Bayes-Ball Method. URSW@ISWC (2016)
Marcello Sandi Pinheiro, Hércules Antônio do Prado, Edilson Ferneda, Marcelo Ladeira
An Approach for Text Mining Based on Noun Phrases. KES-IDT (2015)
Marcelo Ladeira, Fernando de Albuquerque Linhares
A Verbal Anchor based Fuzzy System to help business managers build Balanced Scorecards Strategy Maps. SBSI (2015)
Marcelo Ladeira, Fernando de Albuquerque Linhares
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]. SBSI (2015)
Laécio L. dos Santos, Rommel N. Carvalho, Marcelo Ladeira, Weigang Li, Gilson Libório Mendes
PR-OWL 2 RL - A Language for Scalable Uncertainty Reasoning on the Semantic Web information. URSW@ISWC (2015)
Laécio L. Santos, Rommel N. Carvalho, Marcelo Ladeira, Li Weigang, Kathryn B. Laskey, Paulo C. G. Costa
Scalable uncertainty treatment using triplestores and the OWL 2 RL profile. FUSION (2015)
Claus de Castro Aranha, Yuri Cossich Lavinas, Marcelo Ladeira, Bogdan Enescu
Is it Possible to Generate Good Earthquake Risk Models Using Genetic Algorithms?. IJCCI (ECTA) (2014)
Ricardo Silva Carvalho, Rommel Novaes Carvalho, Marcelo Ladeira, Fernando Mendes Monteiro, Gilson Libório de Oliveira Mendes
Using Political Party Affiliation Data to Measure Civil Servants' Risk of Corruption. BRACIS (2014)
Fernando Leandro dos Santos, Marcelo Ladeira
The Role of Text Pre-processing in Opinion Mining on a Social Media Language Dataset. BRACIS (2014)
Rommel N. Carvalho, Laécio L. dos Santos, Marcelo Ladeira, Henrique A. Da Rocha, Gilson Libório Mendes
UMP-ST Plug-in: Documenting, Maintaining and Evolving Probabilistic Ontologies Using UnBBayes Framework. URSW (LNCS Vol.) (2014)
Rommel N. Carvalho, Marcelo Ladeira, Rafael Mezzomo de Souza, Shou Matsumoto, Henrique A. Da Rocha, Gilson Libório Mendes
UMP-ST plug-in: A Tool for Documenting, Maintaining, and Evolving Probabilistic Ontologies. URSW (2013)
Rommel N. Carvalho, Shou Matsumoto, Kathryn B. Laskey, Paulo Cesar G. da Costa, Marcelo Ladeira, Laécio L. Santos
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. URSW (LNCS Vol.) (2013)
Estêvão F. Aguiar, Marcelo Ladeira, Rommel N. Carvalho, Shou Matsumoto
A GUI for MLN. URSW (2013)
Rommel N. Carvalho, Kathryn B. Laskey, Paulo Cesar G. da Costa, Marcelo Ladeira, Laécio L. Santos, Shou Matsumoto
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. URSW (2009)
Carmen Dalla Rosa Bittencourt, Marcelo Ladeira, Saul Fontoura da Silva, Anderson Luis S. Bittencourt, Díbio Leandro Borges
Sistema de Classificação Automática de Carcaças Bovinas. SBSI (2008)
Paulo Cesar G. da Costa, Marcelo Ladeira, Rommel N. Carvalho, Kathryn B. Laskey, Laécio L. Santos, Shou Matsumoto
A First-Order Bayesian Tool for Probabilistic Ontologies. FLAIRS Conference (2008)
Rommel N. Carvalho, Laécio L. Santos, Marcelo Ladeira, Paulo Cesar G. da Costa
A GUI Tool for Plausible Reasoning in the Semantic Web using MEBN. ISDA (2007)
Wagner Francisco Castilho, Hércules Antônio do Prado, Marcelo Ladeira
Informed K-Means: A Clustering Process biased by Prior Knowledge. ICEIS (2) (2004)
Paulo de Tarso Costa de Sousa, Hércules Antônio do Prado, Eduardo Amadeu Moresi, Marcelo Ladeira
Contributions of KDD to the Knowledge Management Process: a Case Study. CLEI Electron. J. 7 (1) (2004)
Rosa Maria Vicari, Cecilia Dias Flores, André M. Silvestre, Louise J. Seixas, Marcelo Ladeira, Helder Coelho
A multi-agent intelligent environment for medical knowledge. Artif. Intell. Medicine 27 (3) (2003)