João Manuel Portela da Gama


AuthID: R-000-75X

Confirmed Publications: 520



221
TITLE: Evolution Analysis of Call Ego-Networks
AUTHORS: Shazia Tabassum ; Joao Gama ;
PUBLISHED: 2016, SOURCE: 19th International Conference on Discovery Science (DS) / 27th International Conference on Algorithmic Learning Theory (ALT) in DISCOVERY SCIENCE, (DS 2016), VOLUME: 9956
INDEXED IN: Scopus WOS DBLP CrossRef: 1
IN MY: ORCID | DBLP
222
TITLE: Evolving Centralities in Temporal Graphs: A Twitter Network Analysis
AUTHORS: Fabiola S F Pereira ; Sandra de Amo; João Gama ;
PUBLISHED: 2016, SOURCE: IEEE 17th International Conference on Mobile Data Management, MDM 2016, Porto, Portugal, June 13-16, 2016 - Workshops
INDEXED IN: DBLP CrossRef: 12
IN MY: ORCID | DBLP
223
TITLE: First Principle Models Based Dataset Generation for Multi-Target Regression and Multi-Label Classification Evaluation PDF
AUTHORS: Ricardo Sousa; João Gama ;
PUBLISHED: 2016, SOURCE: 2016 Workshop on Large-Scale Learning from Data Streams in Evolving Environments, STREAMEVOLV 2016 in 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., VOLUME: 2069
INDEXED IN: Scopus DBLP
IN MY: ORCID | DBLP
224
TITLE: Hierarchical time series forecast in electrical grids
AUTHORS: Almeida, V ; Ribeiro, R ; Gama, J ;
PUBLISHED: 2016, SOURCE: International Conference on Information Science and Applications, ICISA 2016 in Lecture Notes in Electrical Engineering, VOLUME: 376
INDEXED IN: Scopus CrossRef: 1
IN MY: ORCID
225
TITLE: How to Correctly Evaluate an Automatic Bioacoustics Classification Method
AUTHORS: Juan Gabriel Colonna ; Joao Gama ; Eduardo F Nakamura;
PUBLISHED: 2016, SOURCE: 17th Conference of the Spanish-Association-for-Artificial-Intelligence (CAEPIA) in ADVANCES IN ARTIFICIAL INTELLIGENCE, CAEPIA 2016, VOLUME: 9868
INDEXED IN: Scopus WOS DBLP CrossRef: 4
IN MY: ORCID | DBLP
226
TITLE: IoT Big Data Stream Mining
AUTHORS: Gianmarco De Francisci Morales; Albert Bifet; Latifur Khan; João Gama ; Wei Fan;
PUBLISHED: 2016, SOURCE: 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2016 in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, VOLUME: 13-17-August-2016
INDEXED IN: Scopus DBLP CrossRef: 46
IN MY: ORCID | DBLP
227
TITLE: Measures for Combining Prediction Intervals Uncertainty and Reliability in Forecasting
AUTHORS: Vania Almeida ; Joao Gama ;
PUBLISHED: 2016, SOURCE: 9th International Conference on Computer Recognition Systems (CORES) in PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS, CORES 2015, VOLUME: 403
INDEXED IN: Scopus WOS DBLP CrossRef: 1
IN MY: ORCID | DBLP
228
TITLE: Message from the MDM 2016 general co-chairs
AUTHORS: Gama, J ; Kumar, V; Tan, KL;
PUBLISHED: 2016, SOURCE: 17th IEEE International Conference on Mobile Data Management, IEEE MDM 2016 in Proceedings - IEEE International Conference on Mobile Data Management, VOLUME: 2016-July
INDEXED IN: Scopus CrossRef
IN MY: ORCID
229
TITLE: MINAS: multiclass learning algorithm for novelty detection in data streams
AUTHORS: Elaine Ribeiro de Faria; Andre Carlos Ponce D F de Leon Ferreira Carvalho; Joao Gama ;
PUBLISHED: 2016, SOURCE: DATA MINING AND KNOWLEDGE DISCOVERY, VOLUME: 30, ISSUE: 3
INDEXED IN: Scopus WOS DBLP CrossRef: 56
IN MY: ORCID | DBLP
230
TITLE: Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers
AUTHORS: Hanen Borchani; Pedro Larranaga; Joao Gama ; Concha Bielza;
PUBLISHED: 2016, SOURCE: INTELLIGENT DATA ANALYSIS, VOLUME: 20, ISSUE: 2
INDEXED IN: Scopus WOS DBLP CrossRef: 11
IN MY: ORCID | DBLP
Page 23 of 52. Total results: 520.

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