IRIS
TRENTIN, EDMONDO
 Distribuzione geografica
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Continente #
NA - Nord America 4.784
EU - Europa 3.644
AS - Asia 633
SA - Sud America 7
AF - Africa 5
Continente sconosciuto - Info sul continente non disponibili 4
OC - Oceania 3
Totale 9.080
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Nazione #
US - Stati Uniti d'America 4.781
GB - Regno Unito 1.595
CN - Cina 536
IE - Irlanda 527
UA - Ucraina 438
SE - Svezia 328
FR - Francia 196
DE - Germania 195
IT - Italia 151
FI - Finlandia 114
RU - Federazione Russa 55
SG - Singapore 43
TR - Turchia 23
BE - Belgio 14
VN - Vietnam 7
KZ - Kazakistan 5
NL - Olanda 5
PL - Polonia 5
ES - Italia 4
JP - Giappone 4
BR - Brasile 3
CA - Canada 3
CZ - Repubblica Ceca 3
DK - Danimarca 3
RO - Romania 3
AU - Australia 2
CH - Svizzera 2
CL - Cile 2
CO - Colombia 2
EG - Egitto 2
EU - Europa 2
ID - Indonesia 2
MY - Malesia 2
RS - Serbia 2
A1 - Anonimo 1
A2 - ???statistics.table.value.countryCode.A2??? 1
AM - Armenia 1
DZ - Algeria 1
GE - Georgia 1
GR - Grecia 1
IL - Israele 1
IM - Isola di Man 1
IN - India 1
IQ - Iraq 1
IR - Iran 1
KG - Kirghizistan 1
LK - Sri Lanka 1
MD - Moldavia 1
NG - Nigeria 1
NZ - Nuova Zelanda 1
PH - Filippine 1
PK - Pakistan 1
SA - Arabia Saudita 1
SK - Slovacchia (Repubblica Slovacca) 1
TN - Tunisia 1
Totale 9.080
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Città #
Southend 1.512
Fairfield 795
Dublin 517
Ashburn 473
Chandler 435
Woodbridge 414
Jacksonville 353
Seattle 325
Wilmington 303
Houston 293
Cambridge 284
Ann Arbor 215
Nanjing 123
Beijing 116
Princeton 94
Boardman 56
San Mateo 55
Nanchang 49
San Diego 49
Helsinki 46
Moscow 43
Siena 41
Shenyang 35
Tianjin 29
Singapore 27
Dearborn 26
Düsseldorf 23
Florence 21
Hebei 21
Izmir 21
Jiaxing 18
Kunming 18
Shanghai 18
Norwalk 15
Brussels 14
Jinan 13
Las Vegas 13
Changsha 12
Guangzhou 12
Ningbo 12
Menlo Park 10
Milan 10
Taizhou 10
Trento 10
Fremont 8
Zhengzhou 8
Dong Ket 7
Redwood City 7
Changchun 6
Hangzhou 6
London 5
Novi Ligure 5
Paris 5
Rome 5
Astana 4
Auburn Hills 4
Bolzano 4
Dallas 4
Edinburgh 4
Falls Church 4
Frankfurt am Main 4
Hounslow 4
Los Angeles 4
New York 4
Chicago 3
Erlangen 3
Fuzhou 3
Guaçuí 3
Lanzhou 3
Philadelphia 3
Tappahannock 3
Ulm 3
Belgrade 2
Bogotá 2
Cagliari 2
Cairo 2
Cascina 2
Chiswick 2
Colle Di Val D'elsa 2
Falkenstein 2
Fucecchio 2
Hefei 2
Kilburn 2
Madrid 2
Palermo 2
Pisa 2
Providence 2
Rostock 2
San Francisco 2
Selangor 2
Southwark 2
Toronto 2
Washington 2
Zurich 2
Almere Stad 1
Amsterdam 1
Andover 1
Asiago 1
Athens 1
Atlanta 1
Totale 7.155
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Nome #
Recursive neural networks for density estimation over generalized random graphs 210
Feature normalization via ANN/HMM inversion for speech recognition under noisy conditions 204
Dynamic hybrid random fields for the probabilistic graphical modeling of sequential data: definitions, algorithms, and an application to bioinformatics 199
Parzen neural networks: fundamentals, properties, and an application to forensic anthropology 198
A Hybrid Recurrent Neural Network/Dynamic Probabilistic Graphical Model Predictor of the Disulfide Bonding State of Cysteines from the Primary Structure of Proteins 195
Soft-constrained neural networks for nonparametric density estimation 189
Emotion recognition from speech signals via a probabilistic echo-state network 176
Soft-Constrained Nonparametric Density Estimation with Artificial Neural Networks 175
Use of pattern recognition and neural networks for non-metric sex diagnosis from lateral shape of calvarium: an innovative model for computer-aided diagnosis in forensic and physical anthropology 161
Techniques for dealing with incomplete data: a tutorial and survey 155
Unsupervised Nonparametric Density Estimation: A Neural Network Approach 153
Partially supervised learning for pattern recognition 152
Recognition of Sequences of Graphical Patterns 149
Towards a novel probabilistic graphical model of sequential data: a solution to the problem of structure learning and an empirical evaluation 149
Probabilistically grounded unsupervised training of neural networks 149
Towards a novel probabilistic graphical model of sequential data: Fundamental notions and a solution to the problem of parameter learning 147
A Maximum-Likelihood Connectionist Model for Unsupervised Learning over Graphical Domains 144
Maximum Echo-State-Likelihood Networks for Emotion Recognition 143
Speaker normalization and model selection of combined neural networks 143
On semi-supervised clustering 143
Semi-Unsupervised Weighted Maximum-Likelihood Estimation of Joint Densities for the Co-Training of Adaptive Activation Functions 141
Maximum-likelihood normalization of features increases the robustness of neural-based spoken human-computer interaction 141
A Simple and Effective Neural Model for the Classification of Structured Patterns 138
Activation functions with learnable amplitude 138
A Novel Connectionist-Oriented Feature Normalization Technique 135
Scalable pseudo-likelihood estimation in hybrid random fields 134
Classification of Molecular Structures Made Easy 134
Combination of supervised and unsupervised learning for training the activation functions of neural networks 134
Partially Supervised Learning 133
Unbiased SVM Density Estimation with Application to Graphical Pattern Recognition 132
Continuous speech recognition with a robust connectionist/markovian hybrid model 131
Probabilistic interpretation of neural networks for the classification of vectors, sequences and graphs 131
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions 130
The regularized SNN-TA model for recognition of noisy speech. 129
Toward A Modular Connectionist Model of Local Chlorophyll Concentration from Satellite Images 129
Supervised and Unsupervised Co-Training of Adaptive Activation Functions in Neural Nets 128
Comparison of Combined Probabilistic Connectionist Models in a Forensic Application 128
Pattern Classification and Clustering: a Review of Partially Supervised Learning Approaches 127
Applications of generalized radial basis functions in speaker normalization and identification 126
Classification of graphical data made easy 126
A hybrid random field model for scalable statistical learning 121
Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012 120
Combining neural networks and hidden Markov models for speech recognition 119
Scalable Statistical Learning: A Modular Bayesian/Markov Network Approach 118
Networks with trainable amplitude of activation functions 117
Learning perception for indoor robot navigation with a hybrid Hidden Markov Model/Recurrent neural networks approach 117
Hidden Markov Models and Multiple Transfer Functions for Voice Subtraction in an Acoustic Dosimeter 116
Hidden Markov Models With Graph Densities for Action Recognition 113
Estimating the crowding level with a neuro-fuzzy classifier 111
Neural-based downlink scheduling algorithm for broadband wireless networks 111
A survey of hybrid ANN/HMM models for automatic speech recognition 108
Robust combination of neural networks and hidden Markov models for speech recognition 106
Noise-tolerant speech recognition: the SNN-TA approach 104
Inversion-based nonlinear adaptation of noisy acoustic parameters for a neural/HMM speech recognizer 102
Kernel-based hybrid random fields for nonparametric density estimation 98
Nonparametric Hidden Markov Models: Principles and Applications to Speech Recognition 94
Asymptotic convergence of soft-constrained neural networks for density estimation 93
An hybrid HMM/recurrent neural networks approach to indoor robot navigation 90
Connectionist speaker normalization with Generalized Resource Allocating Networks 87
Hybrid Random Fields. A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models 87
Libero arbitrio e macchine intelligenti 86
Proceedings of the 7th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition 84
Speaker normalization with a mixture of recurrent networks 83
Approaching emotion in human computer interaction 83
Toward noise-tolerant acoustic models 82
Some results on the development of a hands-free speech recognizer for car-environment 79
Statistical and neural network models for speech recognition 78
Evaluation on the Aurora 2 Database of Acoustic Models that are less Noise-sensitive 78
Mixtures of Deep Neural Experts for Automated Speech Scoring 78
A mixture of recurrent neural networks for speaker normalization 72
Robust segmental-connectionist learning for recognition of noisy speech 70
Neural networks for speech recognition 59
Model selection of combined neural nets for speech recognition 45
Deep Learning 23
Multivariate Density Estimation with Deep Neural Mixture Models 23
Artificial Neural Networks in Pattern Recognition - 10th IAPR TC3 Workshop, ANNPR 2022, Dubai, United Arab Emirates, November 24-26, 2022, Proceedings 20
A Novel Representation of Graphical Patterns for Graph Convolution Networks 17
Downward-Growing Neural Networks 9
A Neural Probabilistic Graphical Model for Learning and Decision Making in Evolving Structured Environments 8
Totale 9.188
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Categoria #
all - tutte 26.458
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 26.458
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20202.204 298 82 162 343 159 166 197 308 190 144 43 112
2020/20211.596 83 220 45 132 128 201 62 278 157 102 114 74
2021/2022994 72 140 71 125 54 21 58 33 64 112 90 154
2022/20231.351 83 116 169 224 139 260 12 96 154 10 61 27
2023/2024815 40 25 75 73 16 172 249 35 1 11 30 88
2024/202535 35 0 0 0 0 0 0 0 0 0 0 0
Totale 9.188