João Manuel Portela da Gama


AuthID: R-000-75X

Confirmed Publications: 524



181
TITLE: Self Hyper-Parameter Tuning for Data Streams
AUTHORS: Bruno Veloso ; João Gama ; Benedita Malheiro ;
PUBLISHED: 2018, SOURCE: 21st International Conference on Discovery Science, DS 2018 in Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings, VOLUME: 11198
INDEXED IN: Scopus DBLP CrossRef: 23
IN MY: ORCID | DBLP
182
TITLE: Self Hyper-parameter Tuning for Stream Recommendation Algorithms
AUTHORS: Bruno Veloso ; João Gama ; Benedita Malheiro ; João Vinagre ;
PUBLISHED: 2018, SOURCE: Workshops Nemesis, UrbReas, SoGood, IWAISe, and Green Data Mining, held at the 18th European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018 in ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers, VOLUME: 967
INDEXED IN: Scopus DBLP CrossRef: 6 Unpaywall
IN MY: ORCID | DBLP
183
TITLE: Social network analysis: An overview  Full Text
AUTHORS: Shazia Tabassum ; Fabiola S F Pereira; Sofia Fernandes ; Joao Gama ;
PUBLISHED: 2018, SOURCE: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 8, ISSUE: 5
INDEXED IN: Scopus WOS DBLP CrossRef: 134
IN MY: ORCID | DBLP
184
TITLE: Special track on data streams
AUTHORS: Bifet, A; Carvalho, A; Gama, J ;
PUBLISHED: 2018, SOURCE: 33rd Annual ACM Symposium on Applied Computing, SAC 2018 in Proceedings of the ACM Symposium on Applied Computing, VOLUME: Part F137816
INDEXED IN: Scopus
IN MY: ORCID
185
TITLE: Weightless neural modeling for mining data streams
AUTHORS: Cardoso, DO ; Gama, J ; França, F;
PUBLISHED: 2018, SOURCE: Data Mining in Time Series and Streaming Databases
INDEXED IN: Scopus
IN MY: ORCID
186
TITLE: Acute Kidney Injury Detection: An Alarm System to Improve Early Treatment
AUTHORS: Ana Rita Nogueira ; Carlos Abreu Ferreira ; João Gama ;
PUBLISHED: 2017, SOURCE: 23rd International Symposium on Methodologies for Intelligent Systems, ISMIS 2017 in Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings, VOLUME: 10352
INDEXED IN: Scopus DBLP CrossRef
IN MY: ORCID | DBLP
187
TITLE: An evolutionary algorithm for clustering data streams with a variable number of clusters  Full Text
AUTHORS: Jonathan de Andrade Silva; Eduardo Raul Hruschka; Joao Gama ;
PUBLISHED: 2017, SOURCE: EXPERT SYSTEMS WITH APPLICATIONS, VOLUME: 67
INDEXED IN: Scopus WOS DBLP CrossRef: 79
IN MY: ORCID | DBLP
188
TITLE: Clustering from Data Streams
AUTHORS: João Gama ;
PUBLISHED: 2017, SOURCE: Encyclopedia of Machine Learning and Data Mining
INDEXED IN: DBLP CrossRef: 1
IN MY: ORCID | DBLP
189
TITLE: Co-training Semi-supervised Learning for Single-Target Regression in Data Streams Using AMRules
AUTHORS: Ricardo Sousa ; João Gama ;
PUBLISHED: 2017, SOURCE: 23rd International Symposium on Methodologies for Intelligent Systems, ISMIS 2017 in Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Warsaw, Poland, June 26-29, 2017, Proceedings, VOLUME: 10352
INDEXED IN: Scopus DBLP CrossRef: 2
IN MY: ORCID | DBLP
190
TITLE: Comparison Between Co-training and Self-training for Single-target Regression in Data Streams using AMRules PDF
AUTHORS: Ricardo Sousa ; João Gama ;
PUBLISHED: 2017, SOURCE: 2017 Workshop on IoT Large Scale Learning from Data Streams, IOTSTREAMING 2017 in Proceedings of the Workshop on IoT Large Scale Learning from Data Streams co-located with the 2017 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2017), Skopje, Macedonia, September 18-22, 2017., VOLUME: 1958
INDEXED IN: Scopus DBLP
IN MY: ORCID | DBLP
Page 19 of 53. Total results: 524.

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