1
TITLE: Piece-wise constant cluster modelling of dynamics of upwelling patterns
AUTHORS: Nascimento, Susana; Martins, Alexandre; Relvas, Paulo; Luis, Joaquim F.; Mirkin, Boris;
PUBLISHED: 2023, SOURCE: EXPERT SYSTEMS, VOLUME: 40, ISSUE: 10
INDEXED IN: Scopus WOS CrossRef: 1
IN MY: ORCID
2
TITLE: Core-shell clustering approach for detection and analysis of coastal upwelling
AUTHORS: Nascimento, Susana; Martins, Alexandre; Relvas, Paulo; Luis, Joaquim F.; Mirkin, Boris;
PUBLISHED: 2023, SOURCE: COMPUTERS & GEOSCIENCES, VOLUME: 179
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
3
TITLE: Modeling Generalization in Domain Taxonomies Using a Maximum Likelihood Criterion
AUTHORS: Hayrapetyan, Zhirayr; Nascimento, Susana; Fenner, Trevor; Frolov, Dmitry; Mirkin, Boris;
PUBLISHED: 2022, SOURCE: World Conference on Information Systems and Technologies (WorldCIST) in INFORMATION SYSTEMS AND TECHNOLOGIES, WORLDCIST 2022, VOL 2, VOLUME: 469
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
4
TITLE: Novel Cluster Modeling for the Spatiotemporal Analysis of Coastal Upwelling
AUTHORS: Nascimento, Susana; Martins, Alexandre; Relvas, Paulo; Luis, Joaquim F. ; Mirkin, Boris;
PUBLISHED: 2022, SOURCE: 21st EPIA Conference on Artificial Intelligence (EPIA) in PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2022, VOLUME: 13566
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID
5
TITLE: Extreme Fire Severity Classification using Clustering and Decision Tree
AUTHORS: Henrique Coelho; Susana Nascimento; Carlos Viegas Damásio; Lourdes Bugalho; Gonçalo Severino;
PUBLISHED: 2022, SOURCE: Advances in Forest Fire Research 2022
INDEXED IN: CrossRef
IN MY: ORCID
6
TITLE: Globally Optimal Parsimoniously Lifting a Fuzzy Query Set Over a Taxonomy Tree
AUTHORS: Frolov, D; Mirkin, B; Nascimento, S; Fenner, T;
PUBLISHED: 2020, SOURCE: 6th World Congress on Global Optimization, WCGO 2019 in Advances in Intelligent Systems and Computing, VOLUME: 991
INDEXED IN: Scopus CrossRef
IN MY: ORCID
7
TITLE: Parsimonious generalization of fuzzy thematic sets in taxonomies applied to the analysis of tendencies of research in data science
AUTHORS: Frolov, D; Nascimento, S; Fenner, T; Mirkin, B;
PUBLISHED: 2020, SOURCE: INFORMATION SCIENCES, VOLUME: 512
INDEXED IN: Scopus WOS CrossRef: 10
IN MY: ORCID
8
TITLE: A Hybrid Approach to Interpretable Analysis of Research Paper Collections
AUTHORS: Mirkin, B; Frolov, D; Vlasov, A; Nascimento, S; Fenner, T;
PUBLISHED: 2020, SOURCE: 10th International Conference on Web Intelligence, Mining and Semantics, WIMS 2020 and 5th International Conference on Real-time Intelligent Systems, RTIS 2020 in ACM International Conference Proceeding Series, VOLUME: Part F162565
INDEXED IN: Scopus CrossRef
IN MY: ORCID
9
TITLE: Sequential Self-tuning Clustering for Automatic Delimitation of Coastal Upwelling on SST Images
AUTHORS: Nascimento, S; Mateen, S; Relvas, P;
PUBLISHED: 2020, SOURCE: 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12490 LNCS
INDEXED IN: Scopus CrossRef: 2
IN MY: ORCID
10
TITLE: A Hybrid Approach to the Analysis of a Collection of Research Papers
AUTHORS: Mirkin, B; Frolov, D; Vlasov, A; Nascimento, S; Fenner, T;
PUBLISHED: 2020, SOURCE: 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020 in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), VOLUME: 12490 LNCS
INDEXED IN: Scopus CrossRef: 1
IN MY: ORCID
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