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João Manuel Portela da Gama

AuthID: R-000-75X

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Confirmed Publications: 587

241

TITLE: Proceedings of the Workshop on Large-scale Learning from Data Streams in Evolving Environments (STREAMEVOLV 2016) co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2016), Riva del Garda, Italy, September 23, 2016
AUTHORS: Moamar Sayed Mouchaweh; Hamid Bouchachia; João Gama ; Rita Paula Ribeiro ;
PUBLISHED: 2018, SOURCE: STREAMEVOLV@ECML-PKDD, VOLUME: 2069

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CIÊNCIAVITAE

242

TITLE: Self Hyper-Parameter Tuning for Data Streams
AUTHORS: Bruno Veloso ; João Gama ; Benedita Malheiro ;
PUBLISHED: 2018, SOURCE: DS, VOLUME: 11198 LNAI

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Scopus

DBLP

CrossRef: 29

243

TITLE: Self Hyper-parameter Tuning for Stream Recommendation Algorithms
AUTHORS: Bruno Veloso ; João Gama ; Benedita Malheiro ; João Vinagre ;
PUBLISHED: 2018, SOURCE: DMLE/IOTSTREAMING@PKDD/ECML, VOLUME: 967

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Scopus

DBLP

CrossRef: 7

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244

TITLE: Social network analysis: An overview
AUTHORS: Tabassum, S ; Pereira, FSF; Fernandes, S ; Gama, J ;
PUBLISHED: 2018, SOURCE: WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 8, ISSUE: 5

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Scopus

WOS

DBLP

CrossRef: 318

245

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

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246

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

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247