251
TÍTULO: Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers
AUTORES: Hanen Borchani; Pedro Larranaga; Joao Gama ; Concha Bielza;
PUBLICAÇÃO: 2016, FONTE: INTELLIGENT DATA ANALYSIS, VOLUME: 20, NÚMERO: 2
INDEXADO EM: Scopus WOS DBLP CrossRef: 13
NO MEU: ORCID | DBLP
252
TÍTULO: Novelty detection in data streams  Full Text
AUTORES: Elaine R Faria; Isabel J C R Goncalves; Andre C P L F de Carvalho; Joao Gama ;
PUBLICAÇÃO: 2016, FONTE: ARTIFICIAL INTELLIGENCE REVIEW, VOLUME: 45, NÚMERO: 2
INDEXADO EM: Scopus WOS DBLP CrossRef: 71
NO MEU: ORCID | DBLP
253
TÍTULO: On Using Temporal Networks to Analyze User Preferences Dynamics
AUTORES: Fabiola S F Pereira ; Sandra de Amo; Joao Gama ;
PUBLICAÇÃO: 2016, FONTE: 19th International Conference on Discovery Science (DS) / 27th International Conference on Algorithmic Learning Theory (ALT) in DISCOVERY SCIENCE, (DS 2016), VOLUME: 9956
INDEXADO EM: Scopus WOS DBLP CrossRef: 5
NO MEU: ORCID | DBLP
254
TÍTULO: Online Bagging for Recommendation with Incremental Matrix Factorization PDF
AUTORES: João Vinagre ; Alípio Mário Jorge ; João Gama ;
PUBLICAÇÃO: 2016, FONTE: 2016 Workshop on Large-Scale Learning from Data Streams in Evolving Environments, STREAMEVOLV 2016 in Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), Riva del Garda, Italy, September 23, 2016., VOLUME: 2069
INDEXADO EM: Scopus DBLP
NO MEU: ORCID | DBLP
255
TÍTULO: Online Multi-label Classification with Adaptive Model Rules
AUTORES: Ricardo Sousa ; Joao Gama ;
PUBLICAÇÃO: 2016, FONTE: 17th Conference of the Spanish-Association-for-Artificial-Intelligence (CAEPIA) in ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2016, VOLUME: 9868
INDEXADO EM: Scopus WOS DBLP CrossRef: 1
NO MEU: ORCID | DBLP
256
TÍTULO: Online Semi-supervised Learning for Multi-target Regression in Data Streams Using AMRules
AUTORES: Ricardo Sousa ; Joao Gama ;
PUBLICAÇÃO: 2016, FONTE: 15th International Symposium on Intelligent Data Analysis (IDA) in ADVANCES IN INTELLIGENT DATA ANALYSIS XV, VOLUME: 9897
INDEXADO EM: Scopus WOS DBLP CrossRef: 4
NO MEU: ORCID | DBLP
257
TÍTULO: Online Social Networks Event Detection: A Survey
AUTORES: Mário Cordeiro ; João Gama ;
PUBLICAÇÃO: 2016, FONTE: European Conference on Machine Learning, ECML 1989 in Solving Large Scale Learning Tasks. Challenges and Algorithms - Essays Dedicated to Katharina Morik on the Occasion of Her 60th Birthday, VOLUME: 9580
INDEXADO EM: Scopus DBLP CrossRef: 29
NO MEU: ORCID | DBLP
258
TÍTULO: Preface
AUTORES: Gavaldà, R; Žliobaitė, I; Gama, J ;
PUBLICAÇÃO: 2016, FONTE: 1st Workshop on Data Science for Social Good, SoGood 2016 in CEUR Workshop Proceedings, VOLUME: 1831
INDEXADO EM: Scopus
NO MEU: ORCID
259
TÍTULO: Probabilistic Forecasting of Day-ahead Electricity Prices for the Iberian Electricity Market
AUTORES: Rui Moreira; Ricardo Bessa ; Joao Gama ;
PUBLICAÇÃO: 2016, FONTE: 13th International Conference on the European Energy Market (EEM) in 2016 13TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), VOLUME: 2016-July
INDEXADO EM: Scopus WOS CrossRef: 7
NO MEU: ORCID
260
TÍTULO: Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach
AUTORES: Juan G Colonna ; Joao Gama ; Eduardo F Nakamura;
PUBLICAÇÃO: 2016, FONTE: 19th International Conference on Discovery Science (DS) / 27th International Conference on Algorithmic Learning Theory (ALT) in DISCOVERY SCIENCE, (DS 2016), VOLUME: 9956
INDEXADO EM: Scopus WOS DBLP CrossRef: 5
NO MEU: ORCID | DBLP
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