Pubblicazioni

Stefania TOMASIELLO Pubblicazioni


2022
Contributo in Atti di convegno
An approximation technique and a possible application for a class of delay differential equations.
In: Proceedings of the 34th European Modeling & Simulation Symposium (EMSS 2022) Affenzeller, M. et al. Pag.1-6
ISBN:978-88-85741-72-0
34th European Modeling and Simulation Symposium (EMSS 2022)
Roma 19-21 Settembre 2022
Tomasiello, Stefania; Rarita', L.
Digital Object Identifier (DOI): 10.46354/i3m.2022.emss.045
Codice identificativo SCOPUS: 2-s2.0-85142901138
Visualizza sul Database dei Prodotti (IRIS)
2022
Contributo in Atti di convegno
An Explainable Mental Health Fuzzy Deep Active Learning Technique.
In: IEEE International Conference on Fuzzy SystemsVol.2022-July, Pag.1-8
IEEE International Conference on Fuzzy Systems
Padua 18-23 July 2022
Ahmed, U.; Lin, J. C. -W.; Tomasiello, S.; Srivastava, G.
Digital Object Identifier (DOI): 10.1109/FUZZ-IEEE55066.2022.9882622
Codice identificativo ISI: WOS:000861288500042
Codice identificativo SCOPUS: 2-s2.0-85138786758
Visualizza sul Database dei Prodotti (IRIS)
2022
Contributo in Atti di convegno
Predicting the soil organic carbon by recent machine learning algorithms.
In: IEEE International Conference on Cloud and Big Data Computing 345 E 47TH ST, NEW YORK, NY 10017 USA IEEE Pag.1096-1102
IEEE International Conference on Cloud and Big Data Computing
Falerna September 12-15 2022
Uzair, M.; Tomasiello, S.; Loit, E.; Wei-Lin, J. C.
Digital Object Identifier (DOI): 10.1109/DASC/PiCom/CBDCom/Cy55231.2022.9928005
Codice identificativo ISI: WOS:000948109800174
Codice identificativo SCOPUS: 2-s2.0-85145354508
Visualizza sul Database dei Prodotti (IRIS)
2022
Contributo in Atti di convegno
Improved determination of the weights in a clustering approach based on a weighted dissimilarity measure between fuzzy data.
In: IEEE International Conference on Fuzzy Systems 345 E 47TH ST, NEW YORK, NY 10017 USA IEEE Vol.2022-July, Pag.1-6
International Conference on Fuzzy Systems
Padua 18-23 July 2022
Eskandari, E.; Khastan, A.; Tomasiello, S.
Digital Object Identifier (DOI): 10.1109/FUZZ-IEEE55066.2022.9882554
Codice identificativo ISI: WOS:000861288500007
Codice identificativo SCOPUS: 2-s2.0-85138776348
Visualizza sul Database dei Prodotti (IRIS)