Marcelo Ladeira

According to our database1, Marcelo Ladeira authored at least 41 papers between 2003 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Exploring Constraint Handling Techniques in Real-world Problems on MOEA/D with Limited Budget of Evaluations.
CoRR, 2020

A new conceptual framework for enhancing legal information retrieval at the Brazilian Superior Court of Justice.
Proceedings of the MEDES '20: 12th International Conference on Management of Digital EcoSystems, 2020

MOEA/D with Random Partial Update Strategy.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Transfer Learning for Brain Tumor Segmentation.
CoRR, 2019

Improving Resource Allocation in MOEA/D with Decision-Space Diversity Metrics.
Proceedings of the Theory and Practice of Natural Computing - 8th International Conference, 2019

Educational Data Mining: Analysis of Drop out of Engineering Majors at the UnB - Brazil.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Machine Learning Models to Identify the Risk of Modern Slavery in Brazilian Cities.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Does Semantic Search Performs Better than Lexical Search in the Task of Assisting Legal Opinion Writing?
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Using Text Mining to Categorize the Purpose of Public Spending for the Benefit of Transparency and Accountability.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Classification of EEG signals using genetic programming for feature construction.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Influence of algorithmic abstraction and mathematical knowledge on rates of dropout from Computing degree courses.
J. Braz. Comput. Soc., 2018

An Evaluation of Data Model for NoSQL Document-Based Databases.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

Experimental Analysis of the Tournament Size on Genetic Algorithms.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Large Database Schema Matching using Data Mining Techniques.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

A Comparison Study Between Deep Learning and Genetic Programming Application in Cart Pole Balancing Problem.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Detecting Fake Suppliers using Deep Image Features.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Two-phase Parallel Learning to Identify Similar Structures Among Relational Databases.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
A New Algorithm for Generating Situation-Specific Bayesian Networks Using Bayes-Ball Method.
Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016), 2016

Automatic Generation of Probabilistic Ontologies from UMP-ST Model.
Proceedings of the 12th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2016) co-located with the 15th International Semantic Web Conference (ISWC 2016), 2016

Exploring the combination of software visualization and data clustering in the software architecture recovery process.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A Comparison Between Supervised and Unsupervised Models for Identify a Large Number of Categories.
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Deep Learning Anomaly Detection as Support Fraud Investigation in Brazilian Exports and Anti-Money Laundering.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Predicting Recovery of Credit Operations on a Brazilian Bank.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
PR-OWL 2 RL - A Language for Scalable Uncertainty Reasoning on the Semantic Web information.
Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), 2015

A Verbal Anchor based Fuzzy System to help business managers build Balanced Scorecards Strategy Maps.
Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015

Verbal anchor usage on fuzzy systems to help creating initial strategy maps: case study.
Proceedings of the annual conference on Brazilian Symposium on Information Systems, 2015

An Approach for Text Mining Based on Noun Phrases.
Proceedings of the Intelligent Decision Technologies, 2015

Scalable uncertainty treatment using triplestores and the OWL 2 RL profile.
Proceedings of the 18th International Conference on Information Fusion, 2015

2014
UMP-ST Plug-in: Documenting, Maintaining and Evolving Probabilistic Ontologies Using UnBBayes Framework.
Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014

Is it Possible to Generate Good Earthquake Risk Models Using Genetic Algorithms?.
Proceedings of the ECTA 2014, 2014

The Role of Text Pre-processing in Opinion Mining on a Social Media Language Dataset.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

Using Political Party Affiliation Data to Measure Civil Servants' Risk of Corruption.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil.
Proceedings of the Uncertainty Reasoning for the Semantic Web II, 2013

UMP-ST plug-in: A Tool for Documenting, Maintaining, and Evolving Probabilistic Ontologies.
Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

A GUI for MLN.
Proceedings of the 9th International Workshop on Uncertainty Reasoning for the Semantic Web co-located with the 12th International Semantic Web Conference (ISWC 2013), 2013

2009
A GUI Tool for Plausible Reasoning in the Semantic Web Using MEBN.
Proceedings of the Innovative Applications in Data Mining, 2009

2008
A First-Order Bayesian Tool for Probabilistic Ontologies.
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008

2007
A GUI Tool for Plausible Reasoning in the Semantic Web using MEBN.
Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications, 2007

2004
Contributions of KDD to the Knowledge Management Process: a Case Study.
CLEI Electron. J., 2004

Informed K-Means: A Clustering Process biased by Prior Knowledge.
Proceedings of the ICEIS 2004, 2004

2003
A multi-agent intelligent environment for medical knowledge.
Artif. Intell. Medicine, 2003


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