IRIS
SCOTTO DI FRECA, Alessandra
 Distribuzione geografica
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Continente #
EU - Europa 74
AS - Asia 20
NA - Nord America 14
AF - Africa 2
Totale 110
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Nazione #
IT - Italia 36
IE - Irlanda 29
US - Stati Uniti d'America 14
VN - Vietnam 9
DE - Germania 6
IR - Iran 3
JP - Giappone 3
PT - Portogallo 2
TH - Thailandia 2
EG - Egitto 1
ET - Etiopia 1
IN - India 1
NL - Olanda 1
PK - Pakistan 1
SG - Singapore 1
Totale 110
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Città #
Dublin 29
Cassino 14
Dong Ket 9
Böblingen 5
Carmagnola 4
Ashburn 3
Boardman 3
Naples 3
Tokyo 3
Alcobaça 2
Bangkok 2
Rome 2
Cairo 1
Cambridge 1
Fisciano 1
Frankfurt am Main 1
Groningen 1
Milan 1
Montesilvano Marina 1
Multan 1
Palermo 1
San Jose 1
Shirala 1
Trapani 1
Venice 1
Woodbridge 1
Totale 93
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Nome #
The MuseBot Project: Robotics, Informatic, and Economics Strategies for Museums, file de2a6153-eceb-86a2-e053-1705fe0a3017 39
Strategie robotiche ed informatiche per la fruizione museale, file de2a6153-0d67-86a2-e053-1705fe0a3017 18
An experimental protocol to support cognitive impairment diagnosis by using handwriting analysis, file 8a87bff6-0458-43bf-9d59-c60799e74c70 14
A GA-based feature selection approach with an application to handwritten character recognition, file de2a6153-09dc-86a2-e053-1705fe0a3017 8
Using Bayesian Networks for Selecting Classifiers in GP Ensembles, file de2a6153-09dd-86a2-e053-1705fe0a3017 8
Using Genetic Algorithms to Optimize a Deep Learning Based System for the Prediction of Cognitive Impairments, file b712c6fe-bf49-450f-b3e5-1047739c9e9a 3
Feature Evaluation in Handwriting Analysis for Alzheimer’s Disease Using Bayesian Network, file d9a2629e-ac03-4dc6-9ee8-4276cb2706ce 3
Classifier Combination by Bayesian Networks for Handwriting Recognition, file de2a6152-f6bd-86a2-e053-1705fe0a3017 3
The MuseBot project. Robotics, Informatic and Economics stategies for museums, file de2a6153-7c0b-86a2-e053-1705fe0a3017 2
An experimental comparison of feature-selection and classification methods for microarray datasets, file de2a6153-d7f2-86a2-e053-1705fe0a3017 2
An end-to-end deep learning system for medieval writer identification, file de2a6153-e2e3-86a2-e053-1705fe0a3017 2
What is the minimum training data size to reliably identify writers in medieval manuscripts?, file de2a6153-e2f4-86a2-e053-1705fe0a3017 2
An end-to-end deep learning system for medieval writer identification, file de2a6153-ea7c-86a2-e053-1705fe0a3017 2
Layout measures for writer identification in mediaeval documents, file de2a6153-caaa-86a2-e053-1705fe0a3017 1
Handwriting analysis to support neurodegenerative diseases diagnosis: A review, file de2a6153-ccf1-86a2-e053-1705fe0a3017 1
Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts, file de2a6153-e434-86a2-e053-1705fe0a3017 1
Using handwriting features to characterize cognitive impairment, file de2a6153-f028-86a2-e053-1705fe0a3017 1
Totale 110
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Categoria #
all - tutte 334
article - articoli 0
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 334
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20204 0 0 0 0 0 1 0 0 0 1 0 2
2020/202112 0 0 0 0 0 0 0 0 1 2 0 9
2021/202212 0 0 0 0 0 4 0 1 0 1 2 4
2022/202347 0 0 4 0 3 1 0 4 34 0 1 0
2023/202422 2 1 6 2 2 3 0 5 0 1 0 0
Totale 110