CASTELLANA, DANIELE
 Distribuzione geografica
Continente #
NA - Nord America 233
EU - Europa 137
AS - Asia 93
AF - Africa 6
Totale 469
Nazione #
US - Stati Uniti d'America 229
IT - Italia 72
CN - Cina 41
SG - Singapore 35
BG - Bulgaria 19
SE - Svezia 12
FI - Finlandia 10
GB - Regno Unito 8
DE - Germania 6
NG - Nigeria 6
TR - Turchia 6
CA - Canada 4
HK - Hong Kong 4
NL - Olanda 4
VN - Vietnam 4
IN - India 3
AT - Austria 1
CH - Svizzera 1
GR - Grecia 1
LU - Lussemburgo 1
RU - Federazione Russa 1
UA - Ucraina 1
Totale 469
Città #
Santa Clara 51
Singapore 23
Sofia 19
Ashburn 18
Chandler 18
Fairfield 16
Shanghai 16
Beijing 14
Houston 12
Seattle 11
Serra 11
New York 10
Boardman 9
Cambridge 9
Pisa 9
Princeton 8
Wilmington 8
Woodbridge 8
Helsinki 7
Lawrence 7
London 7
Istanbul 6
Lagos 6
Milan 6
Bolzano 5
Livorno 5
Amsterdam 4
Ann Arbor 4
Hong Kong 4
Ottawa 4
Rome 4
Corsico 3
Des Moines 3
Falkenstein 3
Lappeenranta 3
Medford 3
Nanjing 3
Frankfurt am Main 2
Indianapolis 2
San Diego 2
Santa Marinella 2
Torino 2
Chicago 1
Jinan 1
Kent 1
Kilburn 1
Langfang 1
Nanchang 1
Ningbo 1
Ogden 1
Roverbella 1
Vienna 1
Washington 1
Zurich 1
Totale 379
Nome #
Bayesian Mixtures of Hidden Tree Markov Models for Structured Data Clustering 95
Mixture of Hidden Markov Models as Tree Encoder 63
Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models 57
Learning Tree Distributions by Hidden Markov Models 56
Learning from Non-Binary Constituency Trees via Tensor Decomposition 49
A tensor framework for learning in structured domains 44
Tensor decompositions in recursive neural networks for tree-structured data 40
The Infinite Contextual Graph Markov Model 39
Generalising Recursive Neural Models by Tensor Decomposition 38
CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning 10
Totale 491
Categoria #
all - tutte 8.387
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 8.387


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202033 0 0 0 0 0 0 3 5 8 3 13 1
2020/202151 2 3 0 2 9 5 9 2 8 2 4 5
2021/202257 0 5 1 0 15 8 4 1 3 0 6 14
2022/202369 8 10 11 1 11 10 0 3 7 0 6 2
2023/202474 2 3 3 9 14 21 8 0 1 1 3 9
2024/2025143 1 15 15 9 30 41 32 0 0 0 0 0
Totale 491