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Marcelo Ladeira
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2020 – today
- 2024
- [j5]Yuri Cossich Lavinas, Marcelo Ladeira
, Gabriela Ochoa
Multiobjective Evolutionary Component Effect on Algorithm Behaviour. ACM Trans. Evol. Learn. Optim. 4(2): 8 (2024) - [c46]Yuri Cossich Lavinas, Marcelo Ladeira
Multiobjective Evolutionary Component Effect on Algorithm Behavior. GECCO Companion 2024: 41-42 - 2023
- [i6]Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha:
Multiobjective Evolutionary Component Effect on Algorithm behavior. CoRR abs/2308.02527 (2023) - 2022
- [j4]Yuri Cossich Lavinas, Marcelo Ladeira, Claus Aranha:
Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition. Evol. Comput. 30(3): 355-380 (2022) - [c45]Diego Marques de Azevedo, Guilherme Souza Rodrigues
A Probabilistically-Oriented Analysis of the Performance of ASR Systems for Brazilian Radios and TVs. BRACIS (2) 2022: 169-180 - [c44]Yuri Cossich Lavinas, Marcelo Ladeira, Gabriela Ochoa, Claus Aranha:
Component-wise analysis of automatically designed multiobjective algorithms on constrained problems. GECCO 2022: 538-546 - [c43]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: 182-195 - 2021
- [c42]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: 76-81 - [c41]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: 555-566 - [c40]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: 1569-1575 - [i5]Yuri Cossich Lavinas, Marcelo Ladeira, Claus Aranha:
Faster Convergence in Multi-Objective Optimization Algorithms Based on Decomposition. CoRR abs/2112.11939 (2021) - 2020
- [c39]Jonas Wacker, Marcelo Ladeira, José Eduardo Vaz Nascimento:
Transfer Learning for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2020: 241-251 - [c38]Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo
MOEA/D with Random Partial Update Strategy. CEC 2020: 1-8 - [c37]Rodrigo Araujo Lima Torres, Marcelo Ladeira:
A proposal for online analysis and identification of fraudulent financial transactions. ICMLA 2020: 240-245 - [c36]Thiago Gomes, Marcelo Ladeira:
A new conceptual framework for enhancing legal information retrieval at the Brazilian Superior Court of Justice. MEDES 2020: 26-29 - [i4]Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira, Felipe Campelo:
MOEA/D with Random Partial Update Strategy. CoRR abs/2001.06980 (2020) - [i3]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 abs/2011.09722 (2020)
2010 – 2019
- 2019
- [c35]Icaro Marcelino Miranda, Claus Aranha, Marcelo Ladeira:
Classification of EEG signals using genetic programming for feature construction. GECCO 2019: 1275-1283 - [c34]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: 259-262 - [c33]Mauricio Barros de Jesus
Using Text Mining to Categorize the Purpose of Public Spending for the Benefit of Transparency and Accountability. ICMLA 2019: 263-267 - [c32]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: 680-685 - [c31]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: 740-746 - [c30]Yuri Cossich Lavinas, Claus Aranha, Marcelo Ladeira:
Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics. TPNC 2019: 134-146 - [i2]Icaro Marcelino Miranda, Claus Aranha, Marcelo Ladeira:
Classification of EEG Signals using Genetic Programming for Feature Construction. CoRR abs/1906.04403 (2019) - [i1]Jonas Wacker, Marcelo Ladeira, José Eduardo Vaz Nascimento:
Transfer Learning for Brain Tumor Segmentation. CoRR abs/1912.12452 (2019) - 2018
- [j3]Raphael Magalhães Hoed
Influence of algorithmic abstraction and mathematical knowledge on rates of dropout from Computing degree courses. J. Braz. Comput. Soc. 24(1): 10:1-10:16 (2018) - [c29]Jonas Wacker, Rodrigo Peres Ferreira, Marcelo Ladeira:
Detecting Fake Suppliers using Deep Image Features. BRACIS 2018: 224-229 - [c28]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: 1-7 - [c27]Debora Gomes dos Reis, Marcelo Ladeira, Maristela Holanda
Large Database Schema Matching using Data Mining Techniques. ICDM Workshops 2018: 523-530 - [c26]Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai, Marcelo Ladeira:
Experimental Analysis of the Tournament Size on Genetic Algorithms. SMC 2018: 3647-3653 - [c25]Debora G. Reis, Fabio S. Gasparoni, Maristela Holanda
An Evaluation of Data Model for NoSQL Document-Based Databases. WorldCIST (1) 2018: 616-625 - 2017
- [c24]Debora G. Reis, Rommel N. Carvalho, Ricardo S. Carvalho, Marcelo Ladeira:
Two-phase Parallel Learning to Identify Similar Structures Among Relational Databases. ICMLA 2017: 1020-1023 - 2016
- [c23]Rogerio G. Lopes, Rommel N. Carvalho, Marcelo Ladeira, Ricardo Silva Carvalho:
Predicting Recovery of Credit Operations on a Brazilian Bank. ICMLA 2016: 780-784 - [c22]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: 954-960 - [c21]Patricia Andrade, Marcelo Ladeira, Rommel N. Carvalho:
A Comparison Between Supervised and Unsupervised Models for Identify a Large Number of Categories. IRI 2016: 638-641 - [c20]Renato Paiva, Genaína Nunes Rodrigues
Exploring the combination of software visualization and data clustering in the software architecture recovery process. SAC 2016: 1309-1314 - [c19]Diego Marques de Azevedo, Marcelo Ladeira, Laécio L. Santos, Rommel N. Carvalho:
Automatic Generation of Probabilistic Ontologies from UMP-ST Model. URSW@ISWC 2016: 24-35 - [c18]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: 36-48 - 2015
- [c17]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: 924-931 - [c16]Marcello Sandi Pinheiro, Hércules Antônio do Prado, Edilson Ferneda, Marcelo Ladeira:
An Approach for Text Mining Based on Noun Phrases. KES-IDT 2015: 525-535 - [c15]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: 415-422 - [c14]Marcelo Ladeira, Fernando de Albuquerque Linhares:
A Verbal Anchor based Fuzzy System to help business managers build Balanced Scorecards Strategy Maps. SBSI 2015: 549-554 - [c13]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: 14-25 - 2014
- [c12]Fernando Leandro dos Santos, Marcelo Ladeira:
The Role of Text Pre-processing in Opinion Mining on a Social Media Language Dataset. BRACIS 2014: 50-54 - [c11]Ricardo Silva Carvalho, Rommel Novaes Carvalho
Using Political Party Affiliation Data to Measure Civil Servants' Risk of Corruption. BRACIS 2014: 166-171 - [c10]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: 49-58 - [c9]Rommel N. Carvalho
UMP-ST Plug-in: Documenting, Maintaining and Evolving Probabilistic Ontologies Using UnBBayes Framework. URSW (LNCS Vol.) 2014: 1-20 - 2013
- [c8]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: 15-26 - [c7]Rommel N. Carvalho
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil. URSW (LNCS Vol.) 2013: 19-40 - [c6]Estêvão F. Aguiar, Marcelo Ladeira, Rommel N. Carvalho, Shou Matsumoto:
A GUI for MLN. URSW 2013: 46-51
2000 – 2009
- 2009
- [c5]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: 3-14 - [p1]Rommel N. Carvalho
A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN. Innovative Applications in Data Mining 2009: 17-45 - 2008
- [c4]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 2008: 631-636 - [c3]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: 258-267 - 2007
- [c2]Rommel N. Carvalho
A GUI Tool for Plausible Reasoning in the Semantic Web using MEBN. ISDA 2007: 381-386 - 2004
- [j2]Paulo de Tarso Costa de Sousa, Hércules Antônio do Prado, Eduardo Amadeu Dutra Moresi, Marcelo Ladeira:
Contributions of KDD to the Knowledge Management Process: a Case Study. CLEI Electron. J. 7(1) (2004) - [c1]Wagner Francisco Castilho, Hércules Antônio do Prado, Marcelo Ladeira:
Informed K-Means: A Clustering Process biased by Prior Knowledge. ICEIS (2) 2004: 469-475 - 2003
- [j1]Rosa Maria Vicari, Cecilia Dias Flores
A multi-agent intelligent environment for medical knowledge. Artif. Intell. Medicine 27(3): 335-366 (2003)
Coauthor Index
aka: Claus de Castro Aranha
aka: Rommel Novaes Carvalho
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last updated on 2024-10-07 21:19 CEST by the dblp team
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