341
TITLE: Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback
AUTHORS: Joao Vinagre ; Alipio Mario Jorge ; Joao Gama ;
PUBLISHED: 2014, SOURCE: 22nd International Conference on User Modeling, Adaptation, and Personalization (UMAP) in USER MODELING, ADAPTATION, AND PERSONALIZATION, UMAP 2014, VOLUME: 8538
INDEXED IN: Scopus WOS DBLP CrossRef: 56
342
TITLE: Keynote speakers
AUTHORS: João Gama ;
PUBLISHED: 2014, SOURCE: IEEE Symposium on Computers and Communications, ISCC 2014, Funchal, Madeira, Portugal, June 23-26, 2014
INDEXED IN: DBLP CrossRef
343
TITLE: On predicting a call center's workload: A discretization-based approach
AUTHORS: Moreira Matias, L ; Nunes, R; Ferreira, M ; Mendes Moreira, J ; Gama, J ;
PUBLISHED: 2014, SOURCE: 21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 8502 LNAI
INDEXED IN: Scopus DBLP CrossRef: 1
344
TITLE: Recurrent concepts in data streams classification  Full Text
AUTHORS: Joao Gama ; Petr Kosina;
PUBLISHED: 2014, SOURCE: KNOWLEDGE AND INFORMATION SYSTEMS, VOLUME: 40, ISSUE: 3
INDEXED IN: Scopus WOS DBLP CrossRef: 34
345
TITLE: Unsupervised density-based behavior change detection in data streams  Full Text
AUTHORS: Rosane M M Vallim; Jose A Andrade Filho; Rodrigo F de Mello; Andre C P L F de Carvalho; Joao Gama ;
PUBLISHED: 2014, SOURCE: INTELLIGENT DATA ANALYSIS, VOLUME: 18, ISSUE: 2
INDEXED IN: Scopus WOS DBLP CrossRef: 5
346
TITLE: Using probabilistic graphical models to enhance the prognosis of health-related quality of life in adult survivors of critical illness
AUTHORS: Claudia Camila Dias ; Cristina Granja ; Altamiro Costa Pereira ; Joao Gama ; Pedro Pereira Rodrigues ;
PUBLISHED: 2014, SOURCE: 27th IEEE International Symposium on Computer-Based Medical Systems (CBMS) in 2014 IEEE 27TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
INDEXED IN: Scopus WOS DBLP CrossRef: 3
347
TITLE: Adaptive model rules from data streams
AUTHORS: Almeida, E ; Ferreira, C ; Gama, J ;
PUBLISHED: 2013, SOURCE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 8188 LNAI, ISSUE: PART 1
INDEXED IN: Scopus DBLP CrossRef: 27
348
TITLE: Avoiding Anomalies in Data Stream Learning  Full Text
AUTHORS: Joao Gama ; Petr Kosina; Ezilda Almeida ;
PUBLISHED: 2013, SOURCE: 16th International Conference on Discovery Science (DS) in DISCOVERY SCIENCE, VOLUME: 8140
INDEXED IN: Scopus WOS DBLP CrossRef
349
TITLE: Contextual Anomalies in Medical Data
AUTHORS: Daniela Vasco; Pedro Pereira Rodrigues ; Joao Gama ;
PUBLISHED: 2013, SOURCE: 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS) in 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
INDEXED IN: Scopus WOS DBLP CrossRef
350
TITLE: Data Stream Clustering: A Survey. A survey  Full Text
AUTHORS: Jonathan A Silva; Elaine R Faria; Rodrigo C Barros; Eduardo R Hruschka; Andre C P L F de Carvalho; Joao Gama ;
PUBLISHED: 2013, SOURCE: ACM COMPUTING SURVEYS, VOLUME: 46, ISSUE: 1
INDEXED IN: Scopus WOS DBLP CrossRef: 394
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