71
TÍTULO: Predicting Age of Onset in TTR-FAP Patients with Genealogical Features
AUTORES: Maria Pedroto ; Alipio Jorge ; João Mendes Moreira ; Teresa Coelho;
PUBLICAÇÃO: 2018, FONTE: 31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018 in 31st IEEE International Symposium on Computer-Based Medical Systems, CBMS 2018, Karlstad, Sweden, June 18-21, 2018, VOLUME: 2018-June
INDEXADO EM: Scopus DBLP CrossRef: 2
72
TÍTULO: Unsupervised Domain Adaptation for Human Activity Recognition
AUTORES: Paulo Barbosa; Kemilly Dearo Garcia; João Mendes Moreira ; André C P L F de Carvalho;
PUBLICAÇÃO: 2018, FONTE: 19th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2018 in Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I, VOLUME: 11314
INDEXADO EM: Scopus DBLP CrossRef: 2
73
TÍTULO: Updating a Robust Optimization Model for Improving Bus Schedules
AUTORES: Yassine Baghoussi ; Joao Mendes Moreira ; Michael T M Emmerich;
PUBLICAÇÃO: 2018, FONTE: 10th International Conference on Communication Systems and Networks (COMSNETS) in 2018 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), VOLUME: 2018-January
INDEXADO EM: Scopus WOS DBLP CrossRef: 3
74
TÍTULO: autoBagging: Learning to Rank Bagging Workflows with Metalearning PDF
AUTORES: Fábio Pinto; Vítor Cerqueira ; Carlos Soares ; João Mendes Moreira ;
PUBLICAÇÃO: 2017, FONTE: 2017 International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms, AutoML 2017 in Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases, AutoML@PKDD/ECML 2017, Skopje, Macedonia, September 22, 2017., VOLUME: 1998
INDEXADO EM: Scopus DBLP
75
TÍTULO: Maize participatory breeding in Portugal: Comparison of farmer's and breeder's on-farm selection  Full Text
AUTORES: Pedro Mendes Moreira; Zlatko Satovic; Joao Mendes Moreira ; Joao Pedro Santos; Joao Pedro N Nina Santos; Silas Pego; Maria Carlota V Vaz Patto;
PUBLICAÇÃO: 2017, FONTE: PLANT BREEDING, VOLUME: 136, NÚMERO: 6
INDEXADO EM: Scopus WOS CrossRef: 8
76
TÍTULO: An online learning approach to eliminate Bus Bunching in real-time  Full Text
AUTORES: Luis Moreira Matias ; Oded Cats; Joao Gama ; Joao Mendes Moreira ; Jorge Freire de Sousa ;
PUBLICAÇÃO: 2016, FONTE: APPLIED SOFT COMPUTING, VOLUME: 47
INDEXADO EM: Scopus WOS DBLP CrossRef: 61
77
TÍTULO: CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers
AUTORES: Fábio Pinto ; Carlos Soares ; João Mendes Moreira ;
PUBLICAÇÃO: 2016, FONTE: 15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016 in Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I, VOLUME: 9851
INDEXADO EM: Scopus DBLP CrossRef: 12
78
TÍTULO: Churn Perdiction in the Telecom Business
AUTORES: Georgina Esteves; Joao Mendes Moreira ;
PUBLICAÇÃO: 2016, FONTE: 11th International Conference on Digital Information Management (ICDIM) in 2016 ELEVENTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT (ICDIM 2016)
INDEXADO EM: Scopus WOS DBLP CrossRef: 7
79
TÍTULO: Combining Recommendation Systems with a Dynamic Weighted Technique
AUTORES: Pedro Meneses Henriques; Joao Mendes Moreira ;
PUBLICAÇÃO: 2016, FONTE: 11th International Conference on Digital Information Management (ICDIM) in 2016 ELEVENTH INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION MANAGEMENT (ICDIM 2016)
INDEXADO EM: Scopus WOS DBLP CrossRef: 2
80
TÍTULO: Concept Neurons - Handling Drift Issues for Real-Time Industrial Data Mining
AUTORES: Luis Moreira Matias ; Joao Gama ; Joao Mendes Moreira ;
PUBLICAÇÃO: 2016, FONTE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD) in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2016, PT III, VOLUME: 9853
INDEXADO EM: Scopus WOS DBLP CrossRef: 7
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