TIEZZI, MATTEO
 Distribuzione geografica
Continente #
EU - Europa 228
AS - Asia 96
NA - Nord America 77
AF - Africa 6
OC - Oceania 3
Totale 410
Nazione #
IT - Italia 117
US - Stati Uniti d'America 74
CN - Cina 51
IE - Irlanda 37
VN - Vietnam 20
DE - Germania 14
SE - Svezia 12
GB - Regno Unito 11
FR - Francia 10
IN - India 5
NL - Olanda 5
RU - Federazione Russa 5
GR - Grecia 4
JP - Giappone 4
CA - Canada 3
ET - Etiopia 3
KR - Corea 3
RO - Romania 3
TR - Turchia 3
AL - Albania 2
HK - Hong Kong 2
ID - Indonesia 2
IL - Israele 2
NZ - Nuova Zelanda 2
ZA - Sudafrica 2
AT - Austria 1
AU - Australia 1
BY - Bielorussia 1
CH - Svizzera 1
CZ - Repubblica Ceca 1
DZ - Algeria 1
ES - Italia 1
FI - Finlandia 1
HR - Croazia 1
IR - Iran 1
KW - Kuwait 1
PH - Filippine 1
SG - Singapore 1
UA - Ucraina 1
Totale 410
Città #
Siena 57
Dublin 33
Dong Ket 16
Cortona 12
Stockholm 12
Milan 11
Ashburn 10
Changsha 5
Fremont 5
Nanjing 5
Southend 5
Beijing 4
Hanoi 4
Shenyang 4
Zhengzhou 4
Addis Ababa 3
Champaign 3
Changchun 3
Council Bluffs 3
Florence 3
Harbin 3
Lafayette 3
Porcari 3
Seattle 3
Tokyo 3
Yongzhou 3
Amsterdam 2
Atlanta 2
Auckland 2
Berlin 2
Boardman 2
Cambridge 2
Cedar Knolls 2
Central District 2
Chengdu 2
Chicago 2
Chongqing 2
Dallas 2
Johannesburg 2
London 2
Los Angeles 2
Madison 2
New Delhi 2
Nuremberg 2
San Francisco 2
Seoul 2
Shanghai 2
Torlino Vimercati 2
Tübingen 2
Vlorë 2
Wilmington 2
Xian 2
Ankara 1
Ann Arbor 1
Antibes 1
Beilin 1
Bomporto 1
Brescia 1
Brighton 1
Buffalo 1
Catania 1
Elk Grove Village 1
Fabbrico 1
Fairfield 1
Fessenheim 1
Fleming Island 1
Follonica 1
Frankfurt am Main 1
Fuzhou 1
Graz 1
Hefei 1
Jaipur 1
Jakarta 1
Kansas City 1
Kayapinar 1
Kelowna 1
Kuwait City 1
Lanzhou 1
Lappeenranta 1
Madrid 1
Messina 1
Minsk 1
Moscow 1
Munich 1
Muntinlupa City 1
Nanchang 1
Nanning 1
Nashville 1
Netanya 1
Neu-Anspach 1
New York 1
Palaiseau 1
Pescosolido 1
Piombino 1
Pisa 1
Putian 1
Redmond 1
Reggio Emilia 1
Rome 1
Saint Petersburg 1
Totale 320
Nome #
Local Propagation in Neural Network Learning by Architectural Constraints, file e0feeaa9-ec76-44d2-e053-6605fe0a8db0 200
Deep Lagrangian Propagation in Graph Neural Networks, file e0feeaa8-b9fb-44d2-e053-6605fe0a8db0 70
Being Friends Instead of Adversaries: Deep Networks Learn from Data Simplified by Other Networks, file e6e30fbd-6a08-4c4f-bcd3-d7488f4bdf20 31
A lagrangian approach to information propagation in graph neural networks, file e0feeaa9-6028-44d2-e053-6605fe0a8db0 23
Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams, file e81fad78-945f-47ce-8c17-297f0bc6e0b7 23
Lagrangian Propagation Graph Neural Networks, file e0feeaa9-1c1e-44d2-e053-6605fe0a8db0 16
Deep Constraint-based Propagation in Graph Neural Networks, file 9051a3ee-7fce-4d33-9f4d-93b889376946 10
Graph Neural Networks for Graph Drawing, file 04cf29e7-3c38-4cdd-b8ae-eb4f73f88063 9
Continual Unsupervised Learning for Optical Flow Estimation with Deep Networks, file 93eb21ef-209e-4f2b-b003-a5894da9b731 7
Deep Constraint-based Propagation in Graph Neural Networks, file e0feeaab-d630-44d2-e053-6605fe0a8db0 6
Vulgaris: Analysis of a Corpus for Middle-Age Varieties of Italian Language, file 81b454af-544c-4aba-9eaa-d27f94ebc674 5
Continual Learning through Hamilton Equations, file a230dc87-1165-47ba-bfc4-55e195398357 5
Evaluating Continual Learning Algorithms by Generating 3D Virtual Environments, file 1342b5ee-8eeb-4e62-b500-e96eb789f183 4
Foveated Neural Computation, file d1d1e647-9e2f-4af0-91e7-8b3d22bf7594 4
Inductive–Transductive Learning with Graph Neural Networks, file e0feeaa7-ca77-44d2-e053-6605fe0a8db0 4
Friendly Training: Neural Networks Can Adapt Data to Make Learning Easier, file e0feeaab-c523-44d2-e053-6605fe0a8db0 4
Video surveillance of highway traffic events by deep learning architectures, file e0feeaa7-d0db-44d2-e053-6605fe0a8db0 3
Focus of attention improves information transfer in visual features, file e0feeaaa-149c-44d2-e053-6605fe0a8db0 3
Sailenv: Learning in virtual visual environments made simple, file e0feeaaa-5c53-44d2-e053-6605fe0a8db0 2
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects, file e0feeaab-de67-44d2-e053-6605fe0a8db0 2
A Lagrangian framework for learning in graph neural networks, file e1906ccb-5d7a-437a-98dc-069008c24d0e 2
PARTIME: Scalable and Parallel Processing Over Time with Deep Neural Networks, file 21acb3d0-b706-467f-8e72-c2cea3b2a998 1
Continual Learning with Pretrained Backbones by Tuning in the Input Space, file da962713-0084-4972-bb71-38ba169ba1da 1
Local Propagation in Constraint-based Neural Networks, file e0feeaa9-26e6-44d2-e053-6605fe0a8db0 1
Totale 436
Categoria #
all - tutte 1.328
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 1.328


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2018/20192 0 0 0 0 0 0 0 0 0 0 0 2
2019/20201 0 1 0 0 0 0 0 0 0 0 0 0
2020/202181 0 0 0 0 0 0 10 10 5 6 19 31
2021/2022124 15 10 12 5 5 8 24 15 15 5 7 3
2022/2023119 11 11 9 3 10 24 11 7 6 16 6 5
2023/2024105 5 5 24 9 7 13 28 8 1 4 1 0
Totale 436