71
TITLE: On fast and scalable recurring link's prediction in evolving multi-graph streams
AUTHORS: Tabassum, S ; Veloso, B ; Gama, J ;
PUBLISHED: 2020, SOURCE: NETWORK SCIENCE, VOLUME: 8, ISSUE: S1
INDEXED IN: Scopus WOS DBLP CrossRef: 1
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72
TITLE: Optimizing Waste Collection: A Data Mining Approach
AUTHORS: Londres, G; Filipe, N; Gama, J ;
PUBLISHED: 2020, SOURCE: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT I, VOLUME: 1167
INDEXED IN: Scopus WOS DBLP CrossRef: 1
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74
TITLE: Profiling high leverage points for detecting anomalous users in telecom data networks  Full Text
AUTHORS: Tabassum, S ; Azad, MA; Gama, J ;
PUBLISHED: 2020, SOURCE: ANNALS OF TELECOMMUNICATIONS, VOLUME: 75, ISSUE: 9-10
INDEXED IN: Scopus WOS DBLP CrossRef: 2
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75
TITLE: REST framework: A modelling approach towards cooling energy stress mitigation plans for future cities in warming Global South  Full Text
AUTHORS: Ronita Bardhan; Ramit Debnath; Joao Gama ; Upadhi Vijay;
PUBLISHED: 2020, SOURCE: SUSTAINABLE CITIES AND SOCIETY, VOLUME: 61
INDEXED IN: Scopus WOS CrossRef: 4
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76
TITLE: Self Hyper-parameter Tuning for Stream Classification Algorithms
AUTHORS: Bruno Veloso ; João Gama ;
PUBLISHED: 2020, SOURCE: 2nd International Workshop on IoT Streams for Data-Driven Predictive Maintenance, IoT Streams 2020, and 1st International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning, ITEM 2020, co-located with ECML/PKDD 2020 in IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning - Second International Workshop, IoT Streams 2020, and First International Workshop, ITEM 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14-18, 2020, Revised Selected Papers, VOLUME: 1325
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77
TITLE: Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method
AUTHORS: Leo Tisljaric; Sofia da Silva Fernandes; Tonci Caric; João Gama ;
PUBLISHED: 2020, SOURCE: 23rd International Conference on Discovery Science, DS 2020 in Discovery Science - 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19-21, 2020, Proceedings, VOLUME: 12323
INDEXED IN: Scopus DBLP CrossRef: 2
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78
TITLE: Tensor decomposition for analysing time-evolving social networks: an overview  Full Text
AUTHORS: Fernandes, S ; Fanaee T, H; Gama, J ;
PUBLISHED: 2020, SOURCE: ARTIFICIAL INTELLIGENCE REVIEW, VOLUME: 54, ISSUE: 4
INDEXED IN: Scopus WOS DBLP CrossRef: 3
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79
TITLE: Trustability in Algorithmic Systems Based on Artificial Intelligence in the Public and Private Sectors
AUTHORS: Teixeira, S; Gama, J ; Amorim, P ; Figueira, G ;
PUBLISHED: 2020, SOURCE: ERCIM NEWS, VOLUME: 2020, ISSUE: 122
INDEXED IN: WOS DBLP
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80
TITLE: Using Network Features for Credit Scoring in MicroFinance: Extended Abstract
AUTHORS: Paulo Paraíso; Pedro Gomes; Saulo Ruiz; Luís Rodrigues; João Gama ;
PUBLISHED: 2020, SOURCE: 7th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2020, Sydney, Australia, October 6-9, 2020
INDEXED IN: DBLP
IN MY: ORCID | DBLP
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