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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/is/AbouhassanKPT22>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/George_Popov>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Iman_Abouhassan>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Nikola_K._Kasabov>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Roumen_Trifonov>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FIS57118.2022.10019673>
foaf:homepage <https://doi.org/10.1109/IS57118.2022.10019673>
dc:identifier DBLP conf/is/AbouhassanKPT22 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FIS57118.2022.10019673 (xsd:string)
dcterms:issued 2022 (xsd:gYear)
rdfs:label Why Use Evolving Neuro-Fuzzy and Spiking Neural Networks for incremental and explainable learning of time series? A case study on predictive modelling of trade imports and outlier detection. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/George_Popov>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Iman_Abouhassan>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Nikola_K._Kasabov>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Roumen_Trifonov>
swrc:pages 1-7 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/is/2022>
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rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/is/is2022.html#AbouhassanKPT22>
rdfs:seeAlso <https://doi.org/10.1109/IS57118.2022.10019673>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/is>
dc:title Why Use Evolving Neuro-Fuzzy and Spiking Neural Networks for incremental and explainable learning of time series? A case study on predictive modelling of trade imports and outlier detection. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document