Publications

Fabio Narducci Publications


2019
Contributo in Atti di convegno
An UAV Autonomous Warehouse Inventorying by Deep Learning.
In: Image Analysis and Processing – ICIAP 2019 Springer, Cham Pag.443-453
ISBN:978-3-030-30641-0
XX Image Analysis and Processing (ICIAP 2019)
Trento, Italia 9-13 settembre 2019
De Falco, Antonio; Narducci, F.; Petrosino, A.
Digital Object Identifier (DOI): 10.1007/978-3-030-30642-7_40
Codice identificativo ISI: WOS:000562459100040
Codice identificativo SCOPUS: 2-s2.0-85072963158
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2019
Contributo in Atti di convegno
DeepNautilus: A Deep Learning Based System for Nautical Engines’ Live Vibration Processing.
In: Computer Analysis of Images and Patterns. CAIP 2019 Springer, Cham Vol.11679, Pag.120-131
ISBN:978-3-030-29888-3
XVIII International Conference on Computer Analysis of Images and Patterns
Salerno 2-6 settembre 2019
Carbone, Rosario; Montella, R.; Narducci, F.; Petrosino, A.
Digital Object Identifier (DOI): 10.1007/978-3-030-29891-3_11
Codice identificativo ISI: WOS:000558110900011
Codice identificativo SCOPUS: 2-s2.0-85072868020
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2019
Contributo in Atti di convegno
Transfer Learning for Facial Attributes Prediction and Clustering.
In: Communications in Computer and Information Science Springer Vol.1122, Pag.105-117
ISBN:978-981-15-1300-8; 978-981-15-1301-5
7th International Conference on Smart City and Informatization, iSCI 2019
chn 2019
Anzalone, L.; Barra, P.; Barra, S.; Narducci, F.; Nappi, M.
Versione online
Digital Object Identifier (DOI): 10.1007/978-981-15-1301-5_9
Codice identificativo SCOPUS: 2-s2.0-85076169462
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2019
Contributo in Atti di convegno
Distributed training of 3Dpyranet over intel AI DevCloud platform.
In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Springer Vol.11874, Pag.491-497
ISBN:978-3-030-34913-4; 978-3-030-34914-1
12th International Conference on Internet and Distributed Computing Systems, IDCS 2019
ita 2019
Di Nardo, E.; Narducci, F.
Digital Object Identifier (DOI): 10.1007/978-3-030-34914-1_46
Codice identificativo SCOPUS: 2-s2.0-85075890441
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