João Manuel Portela da Gama


AuthID: R-000-75X

Confirmed Publications: 543



391
TITLE: Incremental multi-target model trees for data streams  Full Text
AUTHORS: Ikonomovska, E; Gama, J ; Dzeroski, S;
PUBLISHED: 2011, SOURCE: 26th Annual ACM Symposium on Applied Computing, SAC 2011 in Proceedings of the ACM Symposium on Applied Computing
INDEXED IN: Scopus DBLP CrossRef: 23
IN MY: ORCID | DBLP
392
TITLE: L2GClust: local-to-global clustering of stream sources. local-to-global clustering of stream sources
AUTHORS: Pedro Pereira Rodrigues ; João Gama ; João Araújo; Luís M B Lopes ;
PUBLISHED: 2011, SOURCE: 26th Annual ACM Symposium on Applied Computing, SAC 2011 in Proceedings of the 2011 ACM Symposium on Applied Computing (SAC), TaiChung, Taiwan, March 21 - 24, 2011
INDEXED IN: Scopus DBLP CrossRef: 2
IN MY: ORCID | DBLP
393
TITLE: Learning about the Learning Process
AUTHORS: Joao Gama ; Petr Kosina;
PUBLISHED: 2011, SOURCE: 10th International Symposium on Intelligent Data Analysis in ADVANCES IN INTELLIGENT DATA ANALYSIS X: IDA 2011, VOLUME: 7014
INDEXED IN: Scopus WOS DBLP CrossRef: 12
IN MY: ORCID | DBLP
394
TITLE: Learning decision rules from data streams PDF
AUTHORS: Gama, J ; Kosina, P;
PUBLISHED: 2011, SOURCE: 22nd International Joint Conference on Artificial Intelligence, IJCAI 2011 in IJCAI International Joint Conference on Artificial Intelligence
INDEXED IN: Scopus DBLP
IN MY: ORCID | DBLP
395
TITLE: Learning from Data Streams
AUTHORS: João Gama ; Pedro Pereira Rodrigues ;
PUBLISHED: 2011, SOURCE: Encyclopedia of Data Warehousing and Mining, Second Edition
INDEXED IN: CrossRef
IN MY: ORCID
396
TITLE: Learning from medical data streams: An introduction
AUTHORS: Rodrigues, PP ; Pechenizkiy, M; Gaber, MM; Gama, J ;
PUBLISHED: 2011, SOURCE: Workshop on Learning from Medical Data Streams 2011, LEMEDS 2011 - In Conjunction with the 13th Conference on Artificial Intelligence in Medicine, AIME 2011 in CEUR Workshop Proceedings, VOLUME: 765
INDEXED IN: Scopus
IN MY: ORCID
397
TITLE: Learning model trees from evolving data streams  Full Text
AUTHORS: Elena Ikonomovska; Joao Gama ; Saso Dzeroski;
PUBLISHED: 2011, SOURCE: DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 23, ISSUE: 1
INDEXED IN: Scopus WOS DBLP CrossRef: 217
IN MY: ORCID | DBLP
398
TITLE: MEC - Monitoring Clusters' Transitions
AUTHORS: Marcia Oliveira ; Joao Gama ;
PUBLISHED: 2011, SOURCE: 5th International Symposium for Artificial Intelligence Researchers (STAIRS) in STAIRS 2010: PROCEEDINGS OF THE FIFTH STARTING AI RESEARCHERS' SYMPOSIUM, VOLUME: 222
INDEXED IN: Scopus WOS DBLP
IN MY: ORCID | DBLP
399
TITLE: New Results on Minimum Error Entropy Decision Trees  Full Text
AUTHORS: Joaquim P M Marques de Sa; Raquel Sebastiao ; Joao Gama ; Tania Fontes ;
PUBLISHED: 2011, SOURCE: 16th Iberoamerican Congress on Pattern Recognition in PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, VOLUME: 7042
INDEXED IN: Scopus WOS DBLP CrossRef: 1
IN MY: ORCID | DBLP
400
TITLE: Online Evaluation of Email Streaming Classifiers Using GNUsmail
AUTHORS: Jose M Carmona Cejudo; Manuel Baena Garcia; Jose del Campo Avila; Albert Bifet; Joao Gama ; Rafael Morales Bueno;
PUBLISHED: 2011, SOURCE: 10th International Symposium on Intelligent Data Analysis in ADVANCES IN INTELLIGENT DATA ANALYSIS X: IDA 2011, VOLUME: 7014
INDEXED IN: Scopus WOS DBLP CrossRef
IN MY: ORCID | DBLP
Page 40 of 55. Total results: 543.

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