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2020 – today
- 2024
[j35]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: 111159 (2024)- [j34]Aldo Marcelo Paim, Fabrício Enembreck:
Adaptive regularized ensemble for evolving data stream classification. Pattern Recognit. Lett. 180: 55-61 (2024) - [c91]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: 151-158 - [c90]Daniel Nowak Assis, Jean Paul Barddal, Fabrício Enembreck:
Just Change on Change: Adaptive Splitting Time for Decision Trees in Data Stream Classification. SAC 2024: 351-357 - 2023
- [c89]Daniel Nowak Assis, Fabrício Enembreck, Jean Paul Barddal:
Mass-Based Short Term Selection of Classifiers in Data Streams. IJCNN 2023: 1-8 - [c88]Aldo Marcelo Paim, Fabrício Enembreck:
Adaptive Linear Regression for Data Stream. IJCNN 2023: 1-8 - [i2]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
Advances on Concept Drift Detection in Regression Tasks using Social Networks Theory. CoRR abs/2304.09788 (2023) - 2022
- [j33]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: 115876 (2022) - [j32]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): 9105 (2022) - [c87]Marcos Alberto Mochinski, Jean Paul Barddal, Fabrício Enembreck:
Univariate Time Series Prediction using Data Stream Mining Algorithms and Temporal Dependence. ICAART (2) 2022: 398-408 - 2021
- [j31]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: 114890 (2021) - [c86]Ricardo Stegh Camati, Alessandro A. Scaduto, Fabrício Enembreck:
Using the Projective Themathic Apperception Test for Automatic Personality Recognition in Texts. SMC 2021: 78-85 - 2020
- [j30]Jean Paul Barddal, Fabrício Enembreck:
Regularized and incremental decision trees for data streams. Ann. des Télécommunications 75(9-10): 493-503 (2020) - [j29]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): 522-556 (2020) - [j28]Jean Paul Barddal, Lucas Loezer, Fabrício Enembreck, Riccardo Lanzuolo:
Lessons learned from data stream classification applied to credit scoring. Expert Syst. Appl. 162: 113899 (2020) - [j27]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): 2060004:1-2060004:25 (2020) - [c85]Lucas Loezer, Fabrício Enembreck, Jean Paul Barddal, Alceu de Souza Britto Jr.:
Cost-sensitive learning for imbalanced data streams. SAC 2020: 498-504 - [c84]Ricardo Stegh Camati, Fabrício Enembreck:
Text-Based Automatic Personality Recognition: a Projective Approach. SMC 2020: 218-225 - [c83]Marcos Alberto Mochinski, Jean Paul Barddal, Fabrício Enembreck:
Improving Multiple Time Series Forecasting with Data Stream Mining Algorithms. SMC 2020: 1060-1067 - [c82]Jean Paul Barddal, Fabrício Enembreck, Lucas Loezer, Riccardo Lanzuolo:
Combining Slow and Fast Learning for Improved Credit Scoring. SMC 2020: 1149-1154 - [c81]Eduardo Ferreira José, Fabrício Enembreck, Jean Paul Barddal:
ADADRIFT: An Adaptive Learning Technique for Long-history Stream-based Recommender Systems. SMC 2020: 2593-2600 - [i1]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 abs/2008.07356 (2020)
2010 – 2019
- 2019
- [j26]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: 131-140 (2019) - [j25]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: 227-242 (2019) - [j24]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: 13-29 (2019) - [j23]Allan Rodrigo Leite, Fabrício Enembreck:
Using Collective Behavior of Coupled Oscillators for Solving DCOP. J. Artif. Intell. Res. 64: 987-1023 (2019) - [j22]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): 1877-1878 (2019) - [c80]Allan Rodrigo Leite, Fabrício Enembreck:
Evaluating Incomplete DCOP Algorithms On Large-Scale Problems. IJCNN 2019: 1-8 - [c79]Jean Paul Barddal, Fabrício Enembreck:
Learning regularized hoeffding trees from data streams. SAC 2019: 574-581 - 2018
- [j21]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: 175-190 (2018) - [c78]Ronan Assumpção Silva, Alceu S. Britto Jr., Fabrício Enembreck, Robert Sabourin, Luis S. Oliveira:
Fusion of Classifiers Based on Centrality Measures. ICTAI 2018: 363-370 - [c77]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: 1-6 - 2017
- [j20]Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck, Albert Bifet:
A Survey on Ensemble Learning for Data Stream Classification. ACM Comput. Surv. 50(2): 23:1-23:36 (2017) - [j19]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): 48:1-48:36 (2017) - [j18]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: 278-294 (2017) - [j17]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): 1469-1495 (2017) - [c76]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: 675-684 - [c75]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: 175-181 - [c74]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: 573-580 - [c73]Diego Guarnieri Correa, Fabrício Enembreck, Carlos N. Silla:
An investigation of the hoeffding adaptive tree for the problem of network intrusion detection. IJCNN 2017: 4065-4072 - 2016
- [j16]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck, Jean-Paul A. Barthès:
SNCStream+: Extending a high quality true anytime data stream clustering algorithm. Inf. Syst. 62: 60-73 (2016) - [c72]Cristina Verçosa Pérez Barrios de Souza, Fabrício Enembreck:
Evaluating the Impact of Reputation-Based Agents in Social Coalition Formation. BRACIS 2016: 211-216 - [c71]Douglas M. Guisi, Richardson Ribeiro, Marcelo Teixeira, André Pinz Borges, Fabrício Enembreck:
Reinforcement Learning with Multiple Shared Rewards. ICCS 2016: 855-864 - [c70]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: 53-62 - [c69]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: 54-61 - [c68]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: 107-121 - [c67]Jean Paul Barddal, Heitor Murilo Gomes, Alceu de Souza Britto Jr., Fabrício Enembreck:
A benchmark of classifiers on feature drifting data streams. ICPR 2016: 2180-2185 - [c66]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: 2186-2191 - [c65]Jones Granatyr, Jean Paul Barddal, Adriano Weihmayer Almeida, Fabrício Enembreck, Adaiane Pereira dos Santos Granatyr:
Towards emotion-based reputation guessing learning agents. IJCNN 2016: 3801-3808 - [c64]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: 4396-4403 - [c63]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: 129-144 - [c62]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: 682-687 - [c61]Cristina Verçosa Pérez Barrios de Souza, Fabrício Enembreck:
Dynamic Model for Social Coalition Formation Based on Expertise, Temporal Reputation and Time Commitment. WI 2016: 319-326 - 2015
- [j15]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): 27:1-27:42 (2015) - [j14]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): 26-41 (2015) - [c60]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: 1-8 - [c59]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: 17-24 - [c58]Mauri Ferrandin, Fabrício Enembreck, Júlio César Nievola, Edson Emílio Scalabrin, Bráulio Coelho Ávila:
A Centroid-based Approach for Hierarchical Classification. ICEIS (1) 2015: 25-33 - [c57]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: 495-503 - [c56]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
Analyzing the Impact of Feature Drifts in Streaming Learning. ICONIP (1) 2015: 21-28 - [c55]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
A Complex Network-Based Anytime Data Stream Clustering Algorithm. ICONIP (1) 2015: 615-622 - [c54]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
A Survey on Feature Drift Adaptation. ICTAI 2015: 1053-1060 - [c53]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: 505-508 - [c52]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
SNCStream: a social network-based data stream clustering algorithm. SAC 2015: 935-940 - [c51]Heitor Murilo Gomes, Jean Paul Barddal, Fabrício Enembreck:
Pairwise combination of classifiers for ensemble learning on data streams. SAC 2015: 941-946 - 2014
- [j13]Allan Rodrigo Leite, Fabrício Enembreck, Jean-Paul A. Barthès:
Distributed Constraint Optimization Problems: Review and perspectives. Expert Syst. Appl. 41(11): 5139-5157 (2014) - [c50]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: 23-28 - [c49]Alberto Ayres Benicio, Ayslan Trevizan Possebom, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin:
Multi-phase negotiation for single-item bidding. CSCWD 2014: 354-359 - [c48]Jean Paul Barddal, Heitor Murilo Gomes, Fabrício Enembreck:
SFNClassifier: a scale-free social network method to handle concept drift. SAC 2014: 786-791 - [c47]Heitor Murilo Gomes, Fabrício Enembreck:
SAE2: advances on the social adaptive ensemble classifier for data streams. SAC 2014: 798-804 - 2013
- [j12]Richardson Ribeiro, Fabrício Enembreck:
A sociologically inspired heuristic for optimization algorithms: A case study on ant systems. Expert Syst. Appl. 40(5): 1814-1826 (2013) - [j11]Fabrício Enembreck, Jean-Paul André Barthès:
A social approach for learning agents. Expert Syst. Appl. 40(5): 1902-1916 (2013) - [c46]Heitor Murilo Gomes, Fabrício Enembreck:
SAE: Social Adaptive Ensemble classifier for data streams. CIDM 2013: 199-206 - [c45]Richardson Ribeiro, Adriano F. Ronszcka, Marco A. C. Barbosa, Fabrício Enembreck:
Coordinating Agents in Dynamic Environment. ICEIS 2013: 137-153 - [c44]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: 345-356 - [c43]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: 3329-3334 - 2012
- [j10]Fabrício Enembreck, Jean-Paul André Barthès:
Distributed constraint optimization with MULBS: A case study on collaborative meeting scheduling. J. Netw. Comput. Appl. 35(1): 164-175 (2012) - [c42]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: 22-29 - [c41]Richardson Ribeiro, Fábio Favarim, Marco A. C. Barbosa, Alessandro L. Koerich, Fabrício Enembreck:
Combining Learning Algorithms: An Approach to Markov Decision Processes. ICEIS 2012: 172-188 - [c40]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: 229-238 - [c39]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: 1694-1699 - 2011
- [j9]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): 1233-1240 (2011) - [j8]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): 133-157 (2011) - [c38]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: 253-260 - [c37]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: 772-779 - [c36]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: 73-84 - [c35]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: 1597-1602 - 2010
- [j7]Richardson Ribeiro, Fabrício Enembreck:
Estratégias de Atualização de Políticas para a Coordenação de Agentes Baseados em Enxames. RITA 17(3): 364-388 (2010) - [c34]Gislaine M. Nalepa, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin:
Detecting Drifts in Multi-Issue Negotiations. IBERAMIA 2010: 443-452 - [c33]Gislaine M. Nalepa, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin:
Learning Negotiation Policies Using IB3 and Bayesian Networks. IDEAL 2010: 308-315 - [c32]Allan Rodrigo Leite, André Pinz Borges, Laércio Martins Carpes, Fabrício Enembreck:
Improving the Distributed Constraint Optimization Using Social Network Analysis. SBIA 2010: 243-252 - [c31]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: 2820-2827
2000 – 2009
- 2009
- [j6]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): 173-196 (2009) - [c30]Vanderson Botelho, Fabrício Enembreck, Bráulio Coelho Ávila, Hilton de Azevedo, Edson Emílio Scalabrin:
Encrypted certified trust in multi-agent system. CSCWD 2009: 227-232 - [c29]Fabrício Enembreck, Edson Emílio Scalabrin, Bráulio Coelho Ávila, Jean-Paul A. Barthès:
Distributed Constraint Optimization for scheduling in CSCWD. CSCWD 2009: 252-257 - [c28]André Pinz Borges, Richardson Ribeiro, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin:
A learning agent to help drive vehicles. CSCWD 2009: 282-287 - [c27]Allan Rodrigo Leite, Bruno Giacomet, Fabrício Enembreck:
Railroad Driving Model Based on Distributed Constraint Optimization. IAT 2009: 474-481 - [c26]Richardson Ribeiro, André Pinz Borges, Alessandro L. Koerich, Edson Emílio Scalabrin, Fabrício Enembreck:
A Strategy for Converging Dynamic Action Policies. IEEE IA 2009: 136-143 - [c25]Vanderson Botelho, Fabrício Enembreck, Bráulio Coelho Ávila, Hilton de Azevedo, Edson Emílio Scalabrin:
Certified Trust Model. AIAI 2009: 41-49 - [c24]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: 241-247 - 2008
- [c23]Richardson Ribeiro, André Pinz Borges, Fabrício Enembreck:
Interaction Models for Multiagent Reinforcement Learning. CIMCA/IAWTIC/ISE 2008: 464-469 - [c22]Emerson Romanhuki, Márcio Fuckner, Fabrício Enembreck, Bráulio Coelho Ávila, Edson Emílio Scalabrin:
Improving bilateral negotiation with evolutionary learning. CSCWD 2008: 343-348 - 2007
- [j5]Fabrício Enembreck, Bráulio Coelho Ávila, Edson Emílio Scalabrin, Jean-Paul A. Barthès:
Learning Drifting Negotiations. Appl. Artif. Intell. 21(9): 861-881 (2007) - [c21]Ana Carolina M. Pilatti de Paula, Bráulio Coelho Ávila, Edson Emílio Scalabrin, Fabrício Enembreck:
Using Distributed Data Mining and Distributed Artificial Intelligence for Knowledge Integration. CIA 2007: 89-103 - [c20]Richardson Ribeiro, Alessandro L. Koerich, Fabrício Enembreck:
Noise Tolerance in Reinforcement Learning Algorithms. IAT 2007: 265-268 - [c19]Pedro R. Kalva, Fabrício Enembreck, Alessandro L. Koerich:
WEB Image Classification Based on the Fusion of Image and Text Classifiers. ICDAR 2007: 561-568 - 2006
- [c18]Fabrício Enembreck, Edson Emílio Scalabrin, Cesar Augusto Tacla, Bráulio Coelho Ávila:
Automatic Identification of Teams in R and D. CSCWD (Selected Papers) 2006: 308-317 - [c17]Jaime Wojciechowski, Bráulio Coelho Ávila, Fabrício Enembreck, Edson Emílio Scalabrin:
Evaluating Expertise in Collaborative Educational Environments. CSCWD 2006: 464-470 - [c16]Fabrício Enembreck, Edson Emílio Scalabrin, Cesar Augusto Tacla, Bráulio Coelho Ávila:
Automatic Identification of Teams Based on Textual Information Retrieval. CSCWD 2006: 534-538 - [c15]Ana Carolina M. Pilatti de Paula, Bráulio Coelho Ávila, Edson Emílio Scalabrin, Fabrício Enembreck:
Multiagent-Based Model Integration. IAT Workshops 2006: 11-14 - [c14]Richardson Ribeiro, Fabrício Enembreck, Alessandro L. Koerich:
A Hybrid Learning Strategy for Discovery of Policies of Action. IBERAMIA-SBIA 2006: 268-277 - [c13]Fabrício Enembreck, Bráulio Coelho Ávila:
Comparing Meta-learning Algorithms. IBERAMIA-SBIA 2006: 289-298 - [c12]Fabrício Enembreck, Bráulio Coelho Ávila:
KNOMA: A New Approach for Knowledge Integration. ISCC 2006: 898-903 - 2005
- [j4]Fabrício Enembreck, Jean-Paul A. Barthès:
ELA-A new Approach for Learning Agents. Auton. Agents Multi Agent Syst. 10(3): 215-248 (2005) - [c11]Cesar Augusto Tacla, Fabrício Enembreck:
Perception of Centers of Interest. CSCWD (Selected papers) 2005: 21-30 - [c10]Cesar Augusto Tacla, Fabrício Enembreck:
An awareness mechanism for enhancing cooperation in design teams. CSCWD (2) 2005: 920-925 - [c9]Fabrício Enembreck, Jean-Paul A. Barthès:
Personalization in Multi-Agent Systems. IAT 2005: 230-233 - 2004
- [j3]Fabrício Enembreck, Jean-Paul A. Barthès:
MAIS Un système multi-agents pour la recherche d'information sur le web. Document Numérique 8(3): 83-106 (2004) - [c8]Fabrício Enembreck, Jean-Paul A. Barthès, Bráulio Coelho Ávila:
Personalizing Information Retrieval with Multi-agent Systems. CIA 2004: 77-91 - [c7]Emerson L. dos Santos, Fabiano M. Hasegawa, Bráulio Coelho Ávila, Fabrício Enembreck:
Conceptual Information Retrieval. ISSADS 2004: 137-144 - [c6]Fabrício Enembreck, Jean-Paul A. Barthès:
Dialog with a Personal Assistant. SBIA 2004: 204-213 - 2003
- [j2]Fabrício Enembreck, Jean-Paul A. Barthès:
Improving Computer Supported Cooperative Design with Personal Assistant Agents. Trans. SDPS 7(2): 3-19 (2003) - [j1]Jean-Paul A. Barthès, Fabrício Enembreck:
Architecture d'un système de dialogue pour la coopération homme/SMA. Tech. Sci. Informatiques 22(4): 77-82 (2003) - [c5]Fabrício Enembreck, Jean-Paul A. Barthès:
Agents for Collaborative Filtering. CIA 2003: 184-191 - [c4]Fabrício Enembreck, Jean-Paul A. Barthès:
Architecture of a dialog system with an assistant agent. IHM 2003: 96-103 - [c3]Fabrício Enembreck, Jean-Paul A. Barthès:
Multi-agent based internet search. CE 2003: 151-159 - 2002
- [c2]Fabrício Enembreck, Jean-Paul A. Barthès:
Personal Assitant to improve CSCW. CSCWD 2002: 329-335
1990 – 1999
- 1999
- [c1]Fabrício Enembreck, Bráulio Coelho Ávila, Robert Sabourin:
Decision Tree-Based Paraconsistent Learning. SCCC 1999: 43-52
Coauthor Index
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