NONIS, FRANCESCA
 Distribuzione geografica
Continente #
EU - Europa 145
NA - Nord America 71
AS - Asia 18
OC - Oceania 1
Totale 235
Nazione #
IT - Italia 71
US - Stati Uniti d'America 71
FR - Francia 25
IE - Irlanda 15
GB - Regno Unito 14
VN - Vietnam 6
CZ - Repubblica Ceca 5
RU - Federazione Russa 5
IN - India 4
CN - Cina 2
DE - Germania 2
FI - Finlandia 2
IR - Iran 2
NL - Olanda 2
PK - Pakistan 2
AL - Albania 1
AU - Australia 1
ES - Italia 1
JP - Giappone 1
NO - Norvegia 1
TR - Turchia 1
UA - Ucraina 1
Totale 235
Città #
Dublin 15
Torino 14
Southend 10
Ashburn 8
Turin 7
Dong Ket 6
Encino 6
Milan 6
Chandler 5
Abbiategrasso 4
Palo Alto 4
Ann Arbor 3
Buffalo 3
Houston 3
Milpitas 3
University Park 3
Alcamo 2
Andover 2
Augusta 2
Bologna 2
Bricherasio 2
Cadoneghe 2
Fairfield 2
Helsinki 2
Leawood 2
Nardò 2
Romano Canavese 2
San Donato Milanese 2
Wilmington 2
Ankara 1
Aosta 1
Basking Ridge 1
Bremen 1
Cambridge 1
Catania 1
Genoa 1
Groningen 1
Gurgaon 1
Hamburg 1
Islamabad 1
Jacksonville 1
Kashan 1
Kish 1
Kolkata 1
Lahore 1
Lake Forest 1
New York 1
Norwalk 1
Novara 1
Padova 1
Pavia 1
Pisa 1
Rome 1
Samarate 1
San Diego 1
Stavanger 1
Tirana 1
Tong 1
Varese 1
Viadana 1
Wuhan 1
Totale 158
Nome #
3D Approaches and Challenges in Facial Expression Recognition Algorithms—A Literature Review, file e384c431-3b2e-d4b2-e053-9f05fe0a1d67 76
Questionnaires or Inner Feelings: Who Measures the Engagement Better?, file e384c431-931b-d4b2-e053-9f05fe0a1d67 58
Facial Expression and Emotion Recognition using Deep Learning - 3D FER to support Human-Computer Interaction, file c82d60cc-9571-44b6-ae8f-8dbd82376559 29
Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition, file e384c432-841e-d4b2-e053-9f05fe0a1d67 27
Can adas distract driver’s attention? An rgb-d camera and deep learning-based analysis, file e384c434-4bca-d4b2-e053-9f05fe0a1d67 18
Building an ecologically valid facial expression database – Behind the scenes, file e384c434-0adb-d4b2-e053-9f05fe0a1d67 12
Development of an affective database made of interactive virtual environments, file e384c434-0cd5-d4b2-e053-9f05fe0a1d67 10
Exploring User Engagement in Museum Scenario with EEG—A Case Study in MAV Craftsmanship Museum in Valle d’Aosta Region, Italy, file 26bd4c80-29b7-4444-aabc-af0b94df475b 2
Understanding Abstraction in Deep CNN: An Application on Facial Emotion Recognition, file e384c433-2ecc-d4b2-e053-9f05fe0a1d67 2
Optimal Marker Set Assessment for Motion Capture of 3D Mimic Facial Movements, file e384c433-424d-d4b2-e053-9f05fe0a1d67 2
Affective Virtual Reality: How to Design Artificial Experiences Impacting Human Emotions, file e384c434-119a-d4b2-e053-9f05fe0a1d67 2
Building an ecologically valid facial expression database – Behind the scenes, file e384c434-2c4e-d4b2-e053-9f05fe0a1d67 2
CalD3r and MenD3s: Spontaneous 3D Facial Expression Databases, file 944113d2-d35a-4d3f-9416-cf715dc4d4b5 1
Totale 241
Categoria #
all - tutte 590
article - articoli 381
book - libri 0
conference - conferenze 47
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 71
Totale 1.089


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202019 0 0 1 0 1 0 1 2 7 1 3 3
2020/202149 2 6 1 1 4 5 2 7 4 5 6 6
2021/202299 0 1 2 5 11 9 11 12 8 14 23 3
2022/202340 3 3 0 2 6 12 4 5 4 1 0 0
2023/202434 1 0 0 0 0 0 12 1 20 0 0 0
Totale 241