ProfileOfResearchers

361

TÃTULO: Fast Incremental Matrix Factorization for Recommendation with Positive-Only Feedback
AUTORES: Joao Vinagre ; Alipio Mario Jorge ; Joao Gama ;
PUBLICAÇÃO: 2014, FONTE: 22nd International Conference on User Modeling, Adaptation, and Personalization (UMAP) in USER MODELING, ADAPTATION, AND PERSONALIZATION, UMAP 2014, VOLUME: 8538

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362

TÃTULO: Keynote speakers
AUTORES: João Gama ;
PUBLICAÇÃO: 2014, FONTE: IEEE Symposium on Computers and Communications, ISCC 2014, Funchal, Madeira, Portugal, June 23-26, 2014

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363

TÃTULO: On Predicting a Call Center's Workload: A Discretization-Based Approach
AUTORES: Luís Moreira Matias ; Rafael Nunes; Michel Ferreira ; João Mendes Moreira ; João Gama ;
PUBLICAÇÃO: 2014, FONTE: 21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014 in Foundations of Intelligent Systems - 21st International Symposium, ISMIS 2014, Roskilde, Denmark, June 25-27, 2014. Proceedings, VOLUME: 8502

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364

TÃTULO: Recurrent concepts in data streams classification Full Text
AUTORES: Joao Gama ; Petr Kosina;
PUBLICAÇÃO: 2014, FONTE: KNOWLEDGE AND INFORMATION SYSTEMS, VOLUME: 40, NÚMERO: 3

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TÃTULO: Unsupervised density-based behavior change detection in data streams Full Text
AUTORES: Rosane M M Vallim; Jose A Andrade Filho; Rodrigo F de Mello; Andre C P L F de Carvalho; Joao Gama ;
PUBLICAÇÃO: 2014, FONTE: INTELLIGENT DATA ANALYSIS, VOLUME: 18, NÚMERO: 2

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366

TÃTULO: Using probabilistic graphical models to enhance the prognosis of health-related quality of life in adult survivors of critical illness
AUTORES: Claudia Camila Dias ; Cristina Granja ; Altamiro Costa Pereira ; Joao Gama ; Pedro Pereira Rodrigues ;
PUBLICAÇÃO: 2014, FONTE: 27th IEEE International Symposium on Computer-Based Medical Systems (CBMS) in 2014 IEEE 27TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)

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367

TÃTULO: Adaptive model rules from data streams
AUTORES: Almeida, E ; Ferreira, C ; Gama, J ;
PUBLICAÇÃO: 2013, FONTE: 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, NÚMERO: PART 1

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368

TÃTULO: Avoiding Anomalies in Data Stream Learning Full Text
AUTORES: Joao Gama ; Petr Kosina; Ezilda Almeida ;
PUBLICAÇÃO: 2013, FONTE: 16th International Conference on Discovery Science (DS) in DISCOVERY SCIENCE, VOLUME: 8140

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369

TÃTULO: Contextual Anomalies in Medical Data
AUTORES: Daniela Vasco; Pedro Pereira Rodrigues ; Joao Gama ;
PUBLICAÇÃO: 2013, FONTE: 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS) in 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)

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370