Publications

Stefania TOMASIELLO Publications


2023
Articolo in rivista
Integrated Artificial Intelligence in Data Science
APPLIED SCIENCES. Vol. 13. Pag.1-3
ISSN:2076-3417.
Lin, Jerry Chun-Wei; Tomasiello, Stefania; Srivastava, Gautam
Digital Object Identifier (DOI): 10.3390/app132111612
Codice identificativo ISI: WOS:001103288100001
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2023
Articolo in rivista
Using Hamiltonian Neural Networks to Model Two Coupled Duffing Oscillators
NEURAL PROCESSING LETTERS. Vol. 55. Pag.8163-8180
ISSN:1370-4621.
Pribotkin, G.; Tomasiello, S.
Digital Object Identifier (DOI): 10.1007/s11063-023-11306-0
Codice identificativo ISI: WOS:001005083400001
Codice identificativo SCOPUS: 2-s2.0-85161354074
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2023
Articolo in rivista
A Mini-Review on Recent Fractional Models for Agri-Food Problems
MATHEMATICS. Vol. 11. Pag.1-12
ISSN:2227-7390.
Tomasiello, S.; Macias-Diaz, J. E.
Digital Object Identifier (DOI): 10.3390/math11102316
Codice identificativo ISI: WOS:000997646100001
Codice identificativo SCOPUS: 2-s2.0-85160561159
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2023
Articolo in rivista
Data-driven approaches for sustainable agri-food: coping with sustainability and interpretability
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING. Vol. 14. Pag.16867-16878
ISSN:1868-5137.
Tomasiello, S.; Uzair, M.; Liu, Y.; Loit, E.
Digital Object Identifier (DOI): 10.1007/s12652-023-04702-w
Codice identificativo SCOPUS: 2-s2.0-85173790626
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2023
Articolo in rivista
Novel rough set models based on hesitant fuzzy information
SOFT COMPUTING. Pag.1-23
ISSN:1432-7643.
Alcantud, J. C. R.; Feng, F.; Diaz-Vazquez, S.; Montes, S.; Tomasiello, S.
Digital Object Identifier (DOI): 10.1007/s00500-023-09066-z
Codice identificativo ISI: WOS:001051801000002
Codice identificativo SCOPUS: 2-s2.0-85168327323
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2023
Articolo in rivista
An alternative formulation of the differential quadrature method with a neural network perspective
INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS. Vol. 100. Pag.1248-1263
ISSN:0020-7160.
Tomasiello, S.; Macias-Diaz, J. E.; Alba-Perez, J.
Digital Object Identifier (DOI): 10.1080/00207160.2023.2177133
Codice identificativo ISI: WOS:000934683400001
Codice identificativo SCOPUS: 2-s2.0-85148578983
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2023
Contributo in Atti di convegno
Interpretable Approaches to Predict Evapotranspiration.
In: Lecture Notes in Networks and SystemsVol.648 LNNS, Pag.275-284
ISBN:9783031275234; 9783031275241
14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2022)
online December 14-16, 2022
Uzair, M.; Tomasiello, S.; Loit, E.
Digital Object Identifier (DOI): 10.1007/978-3-031-27524-1_26
Codice identificativo SCOPUS: 2-s2.0-85152518527
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