Fabrício Enembreck

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 53

Top Venues

Publications

Marcos Alberto Mochinski, Mauricio Biczkowski, Ivan Chueiri, Edgard Jamhour, Voldi Costa Zambenedetti, Marcelo Eduardo Pellenz, Fabrício Enembreck
Developing an Intelligent Decision Support System for large-scale smart grid communication network planning. Knowl. Based Syst. 283 (2024)
Daniel Nowak Assis, Jean Paul Barddal, Fabrício Enembreck
Just Change on Change: Adaptive Splitting Time for Decision Trees in Data Stream Classification. SAC (2024)
Marina Luísa de Souza Carrasco Vieira, Marina De Lara, Marcelo Eduardo Pellenz, Mauricio Biczkowski, Marcos Alberto Mochinski, Fabrício Enembreck, Edgard Jamhour, Voldi Costa Zambenedetti
Satellite Imagery-Assisted Link-Budget Analysis Algorithm for Smart Grid Wireless Backhaul Network Planning. SAC (2024)
Aldo Marcelo Paim, Fabrício Enembreck
Adaptive regularized ensemble for evolving data stream classification. Pattern Recognit. Lett. 180 (2024)
Daniel Nowak Assis, Fabrício Enembreck, Jean Paul Barddal
Mass-Based Short Term Selection of Classifiers in Data Streams. IJCNN (2023)
Aldo Marcelo Paim, Fabrício Enembreck
Adaptive Linear Regression for Data Stream. IJCNN (2023)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory. CoRR (2023)
Marcos Alberto Mochinski, Marina Luísa de Souza Carrasco Vieira, Mauricio Biczkowski, Ivan Chueiri, Edgard Jamhour, Voldi Costa Zambenedetti, Marcelo Eduardo Pellenz, Fabrício Enembreck
Towards an Efficient Method for Large-Scale Wi-SUN-Enabled AMI Network Planning. Sensors 22 (23) (2022)
Marcos Alberto Mochinski, Jean Paul Barddal, Fabrício Enembreck
Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence. ICAART (2) (2022)
Darlan Felipe Klotz, Richardson Ribeiro, Fabrício Enembreck, Gustavo Weber Denardin, Marco A. C. Barbosa, Dalcimar Casanova, Marcelo Teixeira
Estimating and tuning adaptive action plans for the control of smart interconnected poultry condominiums. Expert Syst. Appl. 187 (2022)
Ricardo Stegh Camati, Alessandro A. Scaduto, Fabrício Enembreck
Using the Projective Themathic Apperception Test for Automatic Personality Recognition in Texts. SMC (2021)
Antônio David Viniski, Jean Paul Barddal, Alceu de Souza Britto Jr., Fabrício Enembreck, Humberto Vinicius Aparecido de Campos
A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start. Expert Syst. Appl. 176 (2021)
Ricardo Stegh Camati, Fabrício Enembreck
Text-Based Automatic Personality Recognition: a Projective Approach. SMC (2020)
Jean Paul Barddal, Lucas Loezer, Fabrício Enembreck, Riccardo Lanzuolo
Lessons learned from data stream classification applied to credit scoring. Expert Syst. Appl. 162 (2020)
Jean Paul Barddal, Fabrício Enembreck, Lucas Loezer, Riccardo Lanzuolo
Combining Slow and Fast Learning for Improved Credit Scoring. SMC (2020)
Darlan Felipe Klotz, Richardson Ribeiro, Fabrício Enembreck, Gustavo Weber Denardin, Marco A. C. Barbosa, Dalcimar Casanova, Marcelo Teixeira
Estimating action plans for smart poultry houses. CoRR (2020)
Ronan Assumpção Silva, Alceu de Souza Britto Jr., Fabrício Enembreck, Robert Sabourin, Luiz Eduardo Soares de Oliveira
CSBF: A static ensemble fusion method based on the centrality score of complex networks. Comput. Intell. 36 (2) (2020)
Ronan Assumpção Silva, Alceu S. Britto Jr., Fabrício Enembreck, Robert Sabourin, Luiz S. Oliveira
Selecting and Combining Classifiers Based on Centrality Measures. Int. J. Artif. Intell. Tools 29 (03n04) (2020)
Lucas Loezer, Fabrício Enembreck, Jean Paul Barddal, Alceu de Souza Britto Jr.
Cost-sensitive learning for imbalanced data streams. SAC (2020)
Eduardo Ferreira José, Fabrício Enembreck, Jean Paul Barddal
ADADRIFT: An Adaptive Learning Technique for Long-history Stream-based Recommender Systems. SMC (2020)
Jean Paul Barddal, Fabrício Enembreck
Regularized and incremental decision trees for data streams. Ann. des Télécommunications 75 (9-10) (2020)
Marcos Alberto Mochinski, Jean Paul Barddal, Fabrício Enembreck
Improving Multiple Time Series Forecasting with Data Stream Mining Algorithms. SMC (2020)
Allan Rodrigo Leite, Fabrício Enembreck
Using Collective Behavior of Coupled Oscillators for Solving DCOP. J. Artif. Intell. Res. 64 (2019)
Richardson Ribeiro, Dalcimar Casanova, Marcelo Teixeira, André L. Wirth, Heitor Murilo Gomes, André Pinz Borges, Fabrício Enembreck
Generating action plans for poultry management using artificial neural networks. Comput. Electron. Agric. 161 (2019)
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
Correction to: Adaptive random forests for evolving data stream classification. Mach. Learn. 108 (10) (2019)
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Merit-guided dynamic feature selection filter for data streams. Expert Syst. Appl. 116 (2019)
Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
Boosting decision stumps for dynamic feature selection on data streams. Inf. Syst. 83 (2019)
Allan Rodrigo Leite, Fabrício Enembreck
Evaluating Incomplete DCOP Algorithms On Large-Scale Problems. IJCNN (2019)
Jean Paul Barddal, Fabrício Enembreck
Learning regularized hoeffding trees from data streams. SAC (2019)
Andre L. Brun, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin
A framework for dynamic classifier selection oriented by the classification problem difficulty. Pattern Recognit. 76 (2018)
Ronan Assumpção Silva, Alceu S. Britto Jr., Fabrício Enembreck, Robert Sabourin, Luis S. Oliveira
Fusion of Classifiers Based on Centrality Measures. ICTAI (2018)
Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Fabrício Enembreck, Heitor Murilo Gomes
An Experimental Perspective on Sampling Methods for Imbalanced Learning From Financial Databases. IJCNN (2018)
Jones Granatyr, Nardine Osman, João Miguel Dias, Maria Augusta Silveira Netto Nunes, Judith Masthoff, Fabrício Enembreck, Otto Robert Lessing, Carles Sierra, Ana Paiva, Edson Emílio Scalabrin
The Need for Affective Trust Applied to Trust and Reputation Models. ACM Comput. Surv. 50 (4) (2017)
Luis Eduardo Boiko Ferreira, Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Imbalanced Learning Techniques. ICTAI (2017)
Eunelson Jose da Silva Junior, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin, Alessandro L. Koerich
A two-step cascade classification method. IJCNN (2017)
Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, Albert Bifet
A Survey on Ensemble Learning for Data Stream Classification. ACM Comput. Surv. 50 (2) (2017)
Heitor Murilo Gomes, Albert Bifet, Jesse Read, Jean Paul Barddal, Fabrício Enembreck, Bernhard Pfahringer, Geoff Holmes, Talel Abdessalem
Adaptive random forests for evolving data stream classification. Mach. Learn. 106 (9-10) (2017)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer
A survey on feature drift adaptation: Definition, benchmark, challenges and future directions. J. Syst. Softw. 127 (2017)
Diego Guarnieri Correa, Fabrício Enembreck, Carlos N. Silla
An investigation of the hoeffding adaptive tree for the problem of network intrusion detection. IJCNN (2017)
Richardson Ribeiro, Fabrício Enembreck, Douglas M. Guisi, Dalcimar Casanova, Marcelo Teixeira, Fausto A. de Souza, André Pinz Borges
An Advanced Software Tool to Simulate Service Restoration Problems: a case study on Power Distribution Systems. ICCS (2017)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Jean-Paul A. Barthès
: Extending a high quality true anytime data stream clustering algorithm. Inf. Syst. 62 (2016)
Andre L. Brun, Alceu S. Britto Jr., Luiz S. Oliveira, Fabrício Enembreck, Robert Sabourin
Contribution of data complexity features on dynamic classifier selection. IJCNN (2016)
Eden R. Dosciatti, Marcelo Teixeira, Richardson Ribeiro, Marco A. C. Barbosa, Fábio Favarim, Fabrício Enembreck, Dieky Adzkiya
Resources Planning in Database Infrastructures. ICEIS (1) (2016)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Bernhard Pfahringer, Albert Bifet
On Dynamic Feature Weighting for Feature Drifting Data Streams. ECML/PKDD (2) (2016)
Douglas M. Guisi, Richardson Ribeiro, Marcelo Teixeira, André Pinz Borges, Eden R. Dosciatti, Fabrício Enembreck
A Hybrid Interaction Model for Multi-Agent Reinforcement Learning. ICEIS (2) (2016)
Douglas M. Guisi, Richardson Ribeiro, Marcelo Teixeira, André Pinz Borges, Fabrício Enembreck
Reinforcement Learning with Multiple Shared Rewards. ICCS (2016)
Cristina Vercosa Perez Barrios de Souza, Fabrício Enembreck
Evaluating the Impact of Reputation-Based Agents in Social Coalition Formation. BRACIS (2016)
Cristina Vercosa Perez Barrios de Souza, Fabrício Enembreck
Dynamic Model for Social Coalition Formation Based on Expertise, Temporal Reputation and Time Commitment. WI (2016)
Richardson Ribeiro, Douglas M. Guisi, Marcelo Teixeira, Eden R. Dosciatti, André Pinz Borges, Fabrício Enembreck
Combination of Interaction Models for Multi-Agents Systems. ICEIS (Revised Selected Papers) (2016)
Jean Paul Barddal, Heitor Murilo Gomes, Alceu de Souza Britto Jr., Fabrício Enembreck
A benchmark of classifiers on feature drifting data streams. ICPR (2016)
Jones Granatyr, Jean Paul Barddal, Adriano Weihmayer Almeida, Fabrício Enembreck, Adaiane Pereira dos Santos Granatyr
Towards emotion-based reputation guessing learning agents. IJCNN (2016)
Jean Paul Barddal, Heitor Murilo Gomes, Jones Granatyr, Alceu de Souza Britto Jr., Fabrício Enembreck
Overcoming feature drifts via dynamic feature weighted k-nearest neighbor learning. ICPR (2016)
Tânia L. Monteiro, Marcelo Eduardo Pellenz, Edgard Jamhour, Manoel Camillo Penna, Fabrício Enembreck, Richard Demo Souza
A scalable multiagent approach for channel assignment in wireless networks. SAC (2016)
Richardson Ribeiro, Marcelo Teixeira, André L. Wirth, André Pinz Borges, Fabrício Enembreck
A Learning Model for Intelligent Agents Applied to Poultry Farming. ICEIS (1) (2015)
Anderson José de Souza, André Pinz Borges, Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck
Applying Ensemble-based Online Learning Techniques on Crime Forecasting. ICEIS (1) (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
Analyzing the Impact of Feature Drifts in Streaming Learning. ICONIP (1) (2015)
Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck
Pairwise combination of classifiers for ensemble learning on data streams. SAC (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
SNCStream: a social network-based data stream clustering algorithm. SAC (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
Advances on Concept Drift Detection in Regression Tasks Using Social Networks Theory. Int. J. Nat. Comput. Res. 5 (1) (2015)
André Pinz Borges, Osmar Betazzi Dordal, Denise Maria Vecino Sato, Fabrício Enembreck, Bráulio Coelho Ávila, Edson Emílio Scalabrin
Efficient approach for reusing and sharing train driving plans using case-based reasoning. SAC (2015)
Jones Granatyr, Vanderson Botelho, Otto Robert Lessing, Edson Emílio Scalabrin, Jean-Paul A. Barthès, Fabrício Enembreck
Trust and Reputation Models for Multiagent Systems. ACM Comput. Surv. 48 (2) (2015)
Marcelo Teixeira, Richardson Ribeiro, Marco A. C. Barbosa, Fabrício Enembreck, Ricardo Massa Ferreira Lima
A modeling architecture for the orchestration of service components in factory automation. ETFA (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
A Complex Network-Based Anytime Data Stream Clustering Algorithm. ICONIP (1) (2015)
Mauri Ferrandin, Fabrício Enembreck, Júlio César Nievola, Edson Emílio Scalabrin, Bráulio Coelho Ávila
A Centroid-based Approach for Hierarchical Classification. ICEIS (1) (2015)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
A Survey on Feature Drift Adaptation. ICTAI (2015)
Alberto Ayres Benicio, Ayslan Trevizan Possebom, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin
Multi-phase negotiation for single-item bidding. CSCWD (2014)
Allan Rodrigo Leite, Fabrício Enembreck, Jean-Paul A. Barthès
Distributed Constraint Optimization Problems: Review and perspectives. Expert Syst. Appl. 41 (11) (2014)
Heitor Murilo Gomes, Fabrício Enembreck
SAE2: advances on the social adaptive ensemble classifier for data streams. SAC (2014)
Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck
SFNClassifier: a scale-free social network method to handle concept drift. SAC (2014)
André Pinz Borges, Osmar Betazzi Dordal, Denise Maria Vecino Sato, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin, Richardson Ribeiro
A multi-layer architecture proposal for conducting trains employing CBR. CSCWD (2014)
Fabrício Enembreck, Jean-Paul André Barthès
A social approach for learning agents. Expert Syst. Appl. 40 (5) (2013)
Osmar Betazzi Dordal, André Pinz Borges, Denise Maria Vecino Sato, Fabrício Enembreck, Edson Emílio Scalabrin, Bráulio Coelho Ávila
An Intelligent System for train overtaking using distributed coordination. IECON (2013)
Richardson Ribeiro, Fabrício Enembreck
A sociologically inspired heuristic for optimization algorithms: A case study on ant systems. Expert Syst. Appl. 40 (5) (2013)
Richardson Ribeiro, Adriano F. Ronszcka, Marco A. C. Barbosa, Fabrício Enembreck
Coordinating Agents in Dynamic Environment. ICEIS (2013)
Richardson Ribeiro, Adriano F. Ronszcka, Marco A. C. Barbosa, Fábio Favarim, Fabrício Enembreck
Updating Strategies of Policies for Coordinating Agent Swarm in Dynamic Environments. ICEIS (1) (2013)
Heitor Murilo Gomes, Fabrício Enembreck
SAE: Social Adaptive Ensemble classifier for data streams. CIDM (2013)
Richardson Ribeiro, Fábio Favarim, Marco A. C. Barbosa, André Pinz Borges, Osmar Betazzi Dordal, Alessandro L. Koerich, Fabrício Enembreck
Unified Algorithm to Improve Reinforcement Learning in Dynamic Environments - An Instance-based Approach. ICEIS (1) (2012)
André Pinz Borges, Osmar Betazzi Dordal, Denise Maria Vecino Sato, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin
An intelligent system for driving trains using Case-Based Reasoning. SMC (2012)
Richardson Ribeiro, Fábio Favarim, Marco A. C. Barbosa, Alessandro L. Koerich, Fabrício Enembreck
Combining Learning Algorithms: An Approach to Markov Decision Processes. ICEIS (2012)
Fabrício Enembreck, Jean-Paul André Barthès
Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling. J. Netw. Comput. Appl. 35 (1) (2012)
Marcos R. da Silva, André Pinz Borges, Osmar Betazzi Dordal, Denise Maria Vecino Sato, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin
An architecture of BDI agent for autonomous locomotives controller. CSCWD (2012)
Osmar Betazzi Dordal, André Pinz Borges, Richardson Ribeiro, Fabrício Enembreck, Edson Emílio Scalabrin, Bráulio Coelho Ávila
Strong reduction in fuel consumption driving trains in bi-directional single line using crossing loops. SMC (2011)
Tânia L. Monteiro, Marcelo Eduardo Pellenz, Manoel Camillo Penna, Fabrício Enembreck, Richard Demo Souza
On Optimal Distributed Channel Allocation for Access Points in WLANs. Networking Workshops (2011)
Richardson Ribeiro, André Pinz Borges, Adriano Francisco Ronszcka, Edson Emílio Scalabrin, Bráulio Coelho Ávila, Fabrício Enembreck
Combinando Modelos de Interação para Melhorar a Coordenação em Sistemas Multiagente. RITA 18 (1) (2011)
Vanderson Botelho, Fabrício Enembreck, Bráulio Coelho Ávila, Hilton de Azevedo, Edson Emílio Scalabrin
Using asymmetric keys in a certified trust model for multiagent systems. Expert Syst. Appl. 38 (2) (2011)
André Pinz Borges, Jones Granatyr, Osmar Betazzi Dordal, Richardson Ribeiro, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin
Knowledge discovery applied in modal rail. CSCWD (2011)
Osmar Betazzi Dordal, André Pinz Borges, Richardson Ribeiro, Fabrício Enembreck, Edson Emílio Scalabrin, Bráulio Coelho Ávila
Towards an optimal driving trains in single line using crossing loops. CSCWD (2011)
Gislaine M. Nalepa, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin
Detecting Drifts in Multi-Issue Negotiations. IBERAMIA (2010)
Gislaine M. Nalepa, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin
Learning Negotiation Policies Using IB3 and Bayesian Networks. IDEAL (2010)
Roni F. Banaszewski, Cesar Augusto Tacla, Fernando R. Pereira, Lúcia V. R. Arruda, Fabrício Enembreck
Planning transport of crude oil derivatives with simultaneous auctions. SMC (2010)
Allan Rodrigo Leite, André Pinz Borges, Laércio Martins Carpes, Fabrício Enembreck
Improving the Distributed Constraint Optimization Using Social Network Analysis. SBIA (2010)
Richardson Ribeiro, Fabrício Enembreck
Estratégias de Atualização de Políticas para a Coordenação de Agentes Baseados em Enxames. RITA 17 (3) (2010)
Allan Rodrigo Leite, Bruno Giacomet, Fabrício Enembreck
Railroad Driving Model Based on Distributed Constraint Optimization. IAT (2009)
Fabrício Enembreck, Cesar Augusto Tacla, Jean-Paul A. Barthès
Learning Negotiation Policies Using Ensemble-Based Drift Detection Techniques. Int. J. Artif. Intell. Tools 18 (2) (2009)
Luciana S. G. Kobus, Fabrício Enembreck, Edson Emílio Scalabrin, João da Silva Dias, Sandra Honorato da Silva
Automatic Knowledge Discovery and Case Management: an Effective Way to Use Databases to Enhance Health Care Management. AIAI (2009)
Richardson Ribeiro, André Pinz Borges, Alessandro L. Koerich, Edson Emílio Scalabrin, Fabrício Enembreck
A Strategy for Converging Dynamic Action Policies. IEEE IA (2009)
Fabrício Enembreck, Edson Emílio Scalabrin, Bráulio Coelho Ávila, Jean-Paul A. Barthès
Distributed Constraint Optimization for scheduling in CSCWD. CSCWD (2009)
André Pinz Borges, Richardson Ribeiro, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin
A learning agent to help drive vehicles. CSCWD (2009)
Vanderson Botelho, Fabrício Enembreck, Bráulio Coelho Ávila, Hilton de Azevedo, Edson Emílio Scalabrin
Certified Trust Model. AIAI (2009)
Vanderson Botelho, Fabrício Enembreck, Bráulio Coelho Ávila, Hilton de Azevedo, Edson Emílio Scalabrin
Encrypted certified trust in multi-agent system. CSCWD (2009)

Fabrício Enembreck.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Fabrício Enembreck