BibSLEIGH — Fabricio

Travelled to:

1 × Brazil
1 × South Korea
2 × France
2 × Poland
2 × Spain

Collaborated with:

H.M.Gomes J.P.Barddal R.Ribeiro M.A.C.Barbosa A.P.Borges A.L.Koerich F.Favarim A.F.Ronszcka E.E.Scalabrin B.C.Ávila P.R.Kalva O.B.Dordal M.Ferrandin J.C.Nievola M.Teixeira A.L.Wirth A.J.d.Souza D.M.V.Sato

Talks about:

base (6) learn (5) classifi (4) approach (4) stream (4) algorithm (3) environ (3) ensembl (3) social (3) dynam (3)

Person: Fabrício Enembreck

DBLP: Enembreck:Fabr=iacute=cio

Contributed to:

2015

2014

2013

2012

2007

Wrote 13 papers:

ICEIS-v1-2015-FerrandinENSA #approach #classification: A Centroid-based Approach for Hierarchical Classification (MF, FE, JCN, EES, BCÁ), pp. 25–33.
ICEIS-v1-2015-RibeiroTWBE #learning: A Learning Model for Intelligent Agents Applied to Poultry Farming (RR, MT, ALW, APB, FE), pp. 495–503.
ICEIS-v1-2015-SouzaBGBE #learning #online: Applying Ensemble-based Online Learning Techniques on Crime Forecasting (AJdS, APB, HMG, JPB, FE), pp. 17–24.
SAC-2015-BarddalGE #algorithm #clustering #data type #named #social: SNCStream: a social network-based data stream clustering algorithm (JPB, HMG, FE), pp. 935–940.
SAC-2015-BorgesDSEAS #approach #performance #reasoning #reuse #using: Efficient approach for reusing and sharing train driving plans using case-based reasoning (APB, OBD, DMVS, FE, BCÁ, EES), pp. 505–508.
SAC-2015-GomesBE #classification #data type #learning: Pairwise combination of classifiers for ensemble learning on data streams (HMG, JPB, FE), pp. 941–946.
SAC-2014-BarddalGE #classification #concept #named #network #social: SFNClassifier: a scale-free social network method to handle concept drift (JPB, HMG, FE), pp. 786–791.
SAC-2014-GomesE #adaptation #classification #data type #named #social: SAE2: advances on the social adaptive ensemble classifier for data streams (HMG, FE), pp. 798–804.
ICEIS-J-2013-RibeiroRBE #coordination: Coordinating Agents in Dynamic Environment (RR, AFR, MACB, FE), pp. 137–153.
ICEIS-v1-2013-RibeiroRBFE #coordination #policy: Updating Strategies of Policies for Coordinating Agent Swarm in Dynamic Environments (RR, AFR, MACB, FF, FE), pp. 345–356.
ICEIS-J-2012-RibeiroFBKE #algorithm #approach #learning #markov #process: Combining Learning Algorithms: An Approach to Markov Decision Processes (RR, FF, MACB, ALK, FE), pp. 172–188.
ICEIS-v1-2012-RibeiroFBBDKE #algorithm #approach #learning: Unified Algorithm to Improve Reinforcement Learning in Dynamic Environments — An Instance-based Approach (RR, FF, MACB, APB, OBD, ALK, FE), pp. 229–238.
ICDAR-2007-KalvaEK #classification #image #web: WEB Image Classification Based on the Fusion of Image and Text Classifiers (PRK, FE, ALK), pp. 561–568.