Fabrício Enembreck

Orcid: 0000-0002-1418-3245

According to our database1, Fabrício Enembreck authored at least 127 papers between 1999 and 2024.

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

Timeline

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Bibliography

2024
Developing an Intelligent Decision Support System for large-scale smart grid communication network planning.
Knowl. Based Syst., January, 2024

Adaptive regularized ensemble for evolving data stream classification.
Pattern Recognit. Lett., 2024

Satellite Imagery-Assisted Link-Budget Analysis Algorithm for Smart Grid Wireless Backhaul Network Planning.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

Just Change on Change: Adaptive Splitting Time for Decision Trees in Data Stream Classification.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

2023
Adaptive Linear Regression for Data Stream.
Proceedings of the International Joint Conference on Neural Networks, 2023

Mass-Based Short Term Selection of Classifiers in Data Streams.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Towards an Efficient Method for Large-Scale Wi-SUN-Enabled AMI Network Planning.
Sensors, 2022

Estimating and tuning adaptive action plans for the control of smart interconnected poultry condominiums.
Expert Syst. Appl., 2022

Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021
A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start.
Expert Syst. Appl., 2021

Using the Projective Themathic Apperception Test for Automatic Personality Recognition in Texts.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

2020
Selecting and Combining Classifiers Based on Centrality Measures.
Int. J. Artif. Intell. Tools, 2020

Lessons learned from data stream classification applied to credit scoring.
Expert Syst. Appl., 2020

Estimating action plans for smart poultry houses.
CoRR, 2020

CSBF: A static ensemble fusion method based on the centrality score of complex networks.
Comput. Intell., 2020

Regularized and incremental decision trees for data streams.
Ann. des Télécommunications, 2020

Improving Multiple Time Series Forecasting with Data Stream Mining Algorithms.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

ADADRIFT: An Adaptive Learning Technique for Long-history Stream-based Recommender Systems.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Text-Based Automatic Personality Recognition: a Projective Approach.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Combining Slow and Fast Learning for Improved Credit Scoring.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Cost-sensitive learning for imbalanced data streams.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

2019
Correction to: Adaptive random forests for evolving data stream classification.
Mach. Learn., 2019

Using Collective Behavior of Coupled Oscillators for Solving DCOP.
J. Artif. Intell. Res., 2019

Boosting decision stumps for dynamic feature selection on data streams.
Inf. Syst., 2019

Merit-guided dynamic feature selection filter for data streams.
Expert Syst. Appl., 2019

Generating action plans for poultry management using artificial neural networks.
Comput. Electron. Agric., 2019

Learning regularized hoeffding trees from data streams.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Evaluating Incomplete DCOP Algorithms On Large-Scale Problems.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
A framework for dynamic classifier selection oriented by the classification problem difficulty.
Pattern Recognit., 2018

An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Fusion of Classifiers Based on Centrality Measures.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

2017
Adaptive random forests for evolving data stream classification.
Mach. Learn., 2017

A survey on feature drift adaptation: Definition, benchmark, challenges and future directions.
J. Syst. Softw., 2017

The Need for Affective Trust Applied to Trust and Reputation Models.
ACM Comput. Surv., 2017

A Survey on Ensemble Learning for Data Stream Classification.
ACM Comput. Surv., 2017

A two-step cascade classification method.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

An investigation of the hoeffding adaptive tree for the problem of network intrusion detection.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

An Advanced Software Tool to Simulate Service Restoration Problems: a case study on Power Distribution Systems.
Proceedings of the International Conference on Computational Science, 2017

2016
SNCStream<sup>+</sup>: Extending a high quality true anytime data stream clustering algorithm.
Inf. Syst., 2016

Dynamic Model for Social Coalition Formation Based on Expertise, Temporal Reputation and Time Commitment.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

A scalable multiagent approach for channel assignment in wireless networks.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

On Dynamic Feature Weighting for Feature Drifting Data Streams.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Towards emotion-based reputation guessing learning agents.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Contribution of data complexity features on dynamic classifier selection.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Overcoming feature drifts via dynamic feature weighted k-nearest neighbor learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A benchmark of classifiers on feature drifting data streams.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Combination of Interaction Models for Multi-Agents Systems.
Proceedings of the Enterprise Information Systems - 18th International Conference, 2016

A Hybrid Interaction Model for Multi-Agent Reinforcement Learning.
Proceedings of the ICEIS 2016, 2016

Resources Planning in Database Infrastructures.
Proceedings of the ICEIS 2016, 2016

Reinforcement Learning with Multiple Shared Rewards.
Proceedings of the International Conference on Computational Science 2016, 2016

Evaluating the Impact of Reputation-Based Agents in Social Coalition Formation.
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016

2015
Advances on Concept Drift Detection in Regression Tasks Using Social Networks Theory.
Int. J. Nat. Comput. Res., 2015

Trust and Reputation Models for Multiagent Systems.
ACM Comput. Surv., 2015

Pairwise combination of classifiers for ensemble learning on data streams.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Efficient approach for reusing and sharing train driving plans using case-based reasoning.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

SNCStream: a social network-based data stream clustering algorithm.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

A Survey on Feature Drift Adaptation.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

A Complex Network-Based Anytime Data Stream Clustering Algorithm.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Analyzing the Impact of Feature Drifts in Streaming Learning.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Applying Ensemble-based Online Learning Techniques on Crime Forecasting.
Proceedings of the ICEIS 2015, 2015

A Learning Model for Intelligent Agents Applied to Poultry Farming.
Proceedings of the ICEIS 2015, 2015

A Centroid-based Approach for Hierarchical Classification.
Proceedings of the ICEIS 2015, 2015

A modeling architecture for the orchestration of service components in factory automation.
Proceedings of the 20th IEEE Conference on Emerging Technologies & Factory Automation, 2015

2014
Distributed Constraint Optimization Problems: Review and perspectives.
Expert Syst. Appl., 2014

SAE2: advances on the social adaptive ensemble classifier for data streams.
Proceedings of the Symposium on Applied Computing, 2014

SFNClassifier: a scale-free social network method to handle concept drift.
Proceedings of the Symposium on Applied Computing, 2014

A multi-layer architecture proposal for conducting trains employing CBR.
Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014

Multi-phase negotiation for single-item bidding.
Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014

2013
A sociologically inspired heuristic for optimization algorithms: A case study on ant systems.
Expert Syst. Appl., 2013

A social approach for learning agents.
Expert Syst. Appl., 2013

An Intelligent System for train overtaking using distributed coordination.
Proceedings of the IECON 2013, 2013

Updating Strategies of Policies for Coordinating Agent Swarm in Dynamic Environments.
Proceedings of the ICEIS 2013, 2013

Coordinating Agents in Dynamic Environment.
Proceedings of the Enterprise Information Systems - 15th International Conference, 2013

SAE: Social Adaptive Ensemble classifier for data streams.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling.
J. Netw. Comput. Appl., 2012

An intelligent system for driving trains using Case-Based Reasoning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Combining Learning Algorithms: An Approach to Markov Decision Processes.
Proceedings of the Enterprise Information Systems - 14th International Conference, 2012

Unified Algorithm to Improve Reinforcement Learning in Dynamic Environments - An Instance-based Approach.
Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 1, Wroclaw, Poland, 28 June, 2012

An architecture of BDI agent for autonomous locomotives controller.
Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design, 2012

2011
Combinando Modelos de Interação para Melhorar a Coordenação em Sistemas Multiagente.
RITA, 2011

Using asymmetric keys in a certified trust model for multiagent systems.
Expert Syst. Appl., 2011

Strong reduction in fuel consumption driving trains in bi-directional single line using crossing loops.
Proceedings of the IEEE International Conference on Systems, 2011

On Optimal Distributed Channel Allocation for Access Points in WLANs.
Proceedings of the NETWORKING 2011 Workshops - International IFIP TC 6 Workshops, PE-CRN, 2011

Towards an optimal driving trains in single line using crossing loops.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

Knowledge discovery applied in modal rail.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2010
Estratégias de Atualização de Políticas para a Coordenação de Agentes Baseados em Enxames.
RITA, 2010

Planning transport of crude oil derivatives with simultaneous auctions.
Proceedings of the IEEE International Conference on Systems, 2010

Improving the Distributed Constraint Optimization Using Social Network Analysis.
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010

Learning Negotiation Policies Using IB3 and Bayesian Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

Detecting Drifts in Multi-Issue Negotiations.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Learning Negotiation Policies Using Ensemble-Based Drift Detection Techniques.
Int. J. Artif. Intell. Tools, 2009

Automatic Knowledge Discovery and Case Management: an Effective Way to Use Databases to Enhance Health Care Management.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

Certified Trust Model.
Proceedings of the Artificial Intelligence Applications and Innovations III, 2009

A Strategy for Converging Dynamic Action Policies.
Proceedings of the IEEE Symposium on Intelligent Agents, IA 2009, part of the IEEE Symposium Series on Computational Intelligence 2009, Nashville, TN, USA, March 30, 2009, 2009

Railroad Driving Model Based on Distributed Constraint Optimization.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009

Distributed Constraint Optimization for scheduling in CSCWD.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

Encrypted certified trust in multi-agent system.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

A learning agent to help drive vehicles.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

2008
Improving bilateral negotiation with evolutionary learning.
Proceedings of the 12th International Conference on CSCW in Design, 2008

Interaction Models for Multiagent Reinforcement Learning.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008

2007
Learning Drifting Negotiations.
Appl. Artif. Intell., 2007

WEB Image Classification Based on the Fusion of Image and Text Classifiers.
Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

Noise Tolerance in Reinforcement Learning Algorithms.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

Using Distributed Data Mining and Distributed Artificial Intelligence for Knowledge Integration.
Proceedings of the Cooperative Information Agents XI, 11th International Workshop, 2007

2006
KNOMA: A New Approach for Knowledge Integration.
Proceedings of the 11th IEEE Symposium on Computers and Communications (ISCC 2006), 2006

A Hybrid Learning Strategy for Discovery of Policies of Action.
Proceedings of the Advances in Artificial Intelligence, 2006

Comparing Meta-learning Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2006

Multiagent-Based Model Integration.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

Evaluating Expertise in Collaborative Educational Environments.
Proceedings of the 10th International Conference on CSCW in Design, 2006

Automatic Identification of Teams in R and D.
Proceedings of the Computer Supported Cooperative Work in Design III, 2006

Automatic Identification of Teams Based on Textual Information Retrieval.
Proceedings of the 10th International Conference on CSCW in Design, 2006

2005
ELA-A new Approach for Learning Agents.
Auton. Agents Multi Agent Syst., 2005

Personalization in Multi-Agent Systems.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

An awareness mechanism for enhancing cooperation in design teams.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

Perception of Centers of Interest.
Proceedings of the Computer Supported Cooperative Work in Design II, 2005

2004
MAIS ­ Un système multi-agents pour la recherche d'information sur le web.
Document Numérique, 2004

Dialog with a Personal Assistant.
Proceedings of the Advances in Artificial Intelligence - SBIA 2004, 17th Brazilian Symposium on Artificial Intelligence, São Luis, Maranhão, Brazil, September 29, 2004

Conceptual Information Retrieval.
Proceedings of the Advanced Distributed Systems: Third International School and Symposium, 2004

Personalizing Information Retrieval with Multi-agent Systems.
Proceedings of the Cooperative Information Agents VIII, 8th International Workshop, 2004

2003
Architecture d'un système de dialogue pour la coopération homme/SMA.
Tech. Sci. Informatiques, 2003

Improving Computer Supported Cooperative Design with Personal Assistant Agents.
Trans. SDPS, 2003

Multi-agent based internet search.
Proceedings of the Enhanced Interoperable Systems. Proceedings of the 10th ISPE International Conference on Concurrent Engineering (ISPE CE 2003), 2003

Architecture of a dialog system with an assistant agent.
Proceedings of the 15th French-speaking conference on human-computer interaction on 15eme Conference Francophone sur l'Interaction Homme-Machine, 2003

Agents for Collaborative Filtering.
Proceedings of the Cooperative Information Agents VII, 7th International Workshop, 2003

2002
Personal Assitant to improve CSCW.
Proceedings of the Seventh International Conference on CSCW in Design, 2002

1999
Decision Tree-Based Paraconsistent Learning.
Proceedings of the 19th International Conference of the Chilean Computer Science Society (SCCC '99), 1999


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