VACCHETTI, BARTOLOMEO
 Distribuzione geografica
Continente #
EU - Europa 59
NA - Nord America 7
Totale 66
Nazione #
IT - Italia 31
AT - Austria 17
IE - Irlanda 5
US - Stati Uniti d'America 5
SE - Svezia 3
CA - Canada 2
GB - Regno Unito 2
FR - Francia 1
Totale 66
Città #
Turin 17
Vienna 17
Dublin 5
Huskvarna 3
Torino 3
Milan 2
Southend 2
Ann Arbor 1
Ashburn 1
Bologna 1
Brooklyn 1
Fossano 1
Mirandola 1
Rome 1
Toronto 1
Valdagno 1
Totale 58
Nome #
Simplifying Text Mining Activities: Scalable and Self-Tuning Methodology for Topic Detection and Characterization, file e384c434-61f1-d4b2-e053-9f05fe0a1d67 16
Simplifying Text Mining Activities: Scalable and Self-Tuning Methodology for Topic Detection and Characterization, file e384c434-a8da-d4b2-e053-9f05fe0a1d67 13
Predicting job execution time on a high-performance computing cluster using a hierarchical data-driven methodology, file e384c434-86a9-d4b2-e053-9f05fe0a1d67 11
Cinematographic Shot Classification with Deep Ensemble Learning, file e384c434-e90b-d4b2-e053-9f05fe0a1d67 11
null, file c4e58f0c-1aca-4f1a-918c-ebf35e66ee5d 3
Cinematographic Shot Classification through Deep Learning, file e384c432-c975-d4b2-e053-9f05fe0a1d67 3
Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences, file 4a96b6d0-9cf1-44a9-9b30-18bd4b0db0b4 2
Movie Lens: Discovering and Characterizing Editing Patterns in the Analysis of Short Movie Sequences, file 674cfc4f-1382-4913-b3aa-0640af350b2e 2
LEMMS: Label Estimation of Multi-Feature Movie Segments, file 8e7f6ed4-78b0-477d-bc57-cc0690d578e2 2
GINN: Towards Gender InclusioNeural Network, file 0c4fa44b-764f-46fe-8379-14cfdfbd7ae5 1
LEMMS: Label Estimation of Multi-Feature Movie Segments, file 67be9703-4c19-479e-a748-4bb294d0b759 1
DriftLens: A Concept Drift Detection Tool, file 79d3eb39-d03d-45ec-b661-ffcbd4005e4f 1
Totale 66
Categoria #
all - tutte 215
article - articoli 156
book - libri 0
conference - conferenze 59
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 430


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/20211 0 0 0 0 0 0 1 0 0 0 0 0
2021/202218 0 0 1 1 0 0 0 0 0 4 5 7
2022/202338 2 0 5 6 6 11 0 1 3 0 2 2
2023/20249 0 0 3 1 0 0 0 3 2 0 0 0
Totale 66