PORTO @ Archivio Istituzionale della Ricerca

PIANO, LUCA
 Distribuzione geografica
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Continente #
EU - Europa 64
NA - Nord America 13
AS - Asia 1
Totale 78
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Nazione #
IT - Italia 49
GB - Regno Unito 13
US - Stati Uniti d'America 13
CN - Cina 1
CZ - Repubblica Ceca 1
FR - Francia 1
Totale 78
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Città #
Turin 29
Southend 13
Collegno 5
Torino 4
Cambridge 3
Chandler 3
Borgosesia 2
Basking Ridge 1
Boardman 1
Cuneo 1
Genoa 1
Ivrea 1
Palo Alto 1
Rome 1
San Mateo 1
Shanghai 1
Verona 1
Villastellone 1
Totale 70
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Nome #
Bridging the gap between Natural and Medical Images through Deep Colorization, file e384c433-718c-d4b2-e053-9f05fe0a1d67 41
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification, file 874c8181-e96b-424e-802b-6385c8c0cb02 18
Designing Logic Tensor Networks for Visual Sudoku puzzle classification, file dfdca334-3d43-47dc-bc78-26e9deeaa950 5
Toward a Realistic Benchmark for Out-of-Distribution Detection, file 60d344a8-90b2-48fb-b508-7a28f0588142 3
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification, file 05306445-ef5e-42a5-9d65-e2de6a6272c2 2
Drift Detection for Black Box Deep Learning Models, file 4ea4ed68-8107-4816-8f20-43d0213484dc 2
Detecting drift in deep learning: A methodology primer, file f630d990-5fed-4603-a396-9ca9cd720001 2
Toward a Realistic Benchmark for Out-of-Distribution Detection, file f653cc04-f84c-45e0-9c40-295c0f142e5d 2
Designing Logic Tensor Networks for Visual Sudoku puzzle classification, file 32165c0a-50d1-402b-a665-f2ac7d8b4e6c 1
Bridging the gap between Natural and Medical Images through Deep Colorization, file e384c433-48fa-d4b2-e053-9f05fe0a1d67 1
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification, file f014beaa-b08b-4a87-88b7-22c3d810ebde 1
Detecting drift in deep learning: A methodology primer, file f5353635-9157-4e99-9b15-27e10f309baf 1
Totale 79
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Categoria #
all - tutte 135
article - articoli 5
book - libri 0
conference - conferenze 130
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 0
Totale 270
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/20213 0 0 0 0 0 0 0 0 0 0 2 1
2021/202225 1 2 3 1 3 1 0 1 3 5 5 0
2022/202340 3 0 0 3 5 3 4 5 5 1 9 2
2023/202411 1 2 0 0 0 1 0 0 2 5 0 0
Totale 79