IRIS
BALDASSI, CARLO
 Distribuzione geografica
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Continente #
EU - Europa 3.305
NA - Nord America 3.003
AS - Asia 1.004
SA - Sud America 95
AF - Africa 12
OC - Oceania 8
Continente sconosciuto - Info sul continente non disponibili 5
Totale 7.432
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Nazione #
US - Stati Uniti d'America 2.913
IT - Italia 992
DE - Germania 603
IE - Irlanda 433
GB - Regno Unito 426
SG - Singapore 283
CN - Cina 265
RU - Federazione Russa 205
UA - Ucraina 181
TR - Turchia 135
FR - Francia 92
HK - Hong Kong 85
SE - Svezia 85
CA - Canada 79
BR - Brasile 78
VN - Vietnam 67
IN - India 61
FI - Finlandia 59
CZ - Repubblica Ceca 36
NL - Olanda 33
BG - Bulgaria 26
IL - Israele 25
AT - Austria 23
BE - Belgio 22
CH - Svizzera 19
ES - Italia 13
PL - Polonia 13
ID - Indonesia 12
IR - Iran 12
JP - Giappone 12
PT - Portogallo 9
MX - Messico 8
RO - Romania 8
KR - Corea 7
AU - Australia 6
ME - Montenegro 5
NO - Norvegia 5
PK - Pakistan 5
BO - Bolivia 4
GR - Grecia 4
LK - Sri Lanka 4
MY - Malesia 4
PE - Perù 4
UZ - Uzbekistan 4
AZ - Azerbaigian 3
BD - Bangladesh 3
EU - Europa 3
HU - Ungheria 3
KG - Kirghizistan 3
RS - Serbia 3
ZA - Sudafrica 3
A2 - ???statistics.table.value.countryCode.A2??? 2
AE - Emirati Arabi Uniti 2
AR - Argentina 2
CO - Colombia 2
DK - Danimarca 2
EE - Estonia 2
IQ - Iraq 2
KE - Kenya 2
MA - Marocco 2
NZ - Nuova Zelanda 2
PH - Filippine 2
VE - Venezuela 2
AM - Armenia 1
CL - Cile 1
DO - Repubblica Dominicana 1
DZ - Algeria 1
EC - Ecuador 1
EG - Egitto 1
GE - Georgia 1
IM - Isola di Man 1
KH - Cambogia 1
KZ - Kazakistan 1
MT - Malta 1
NG - Nigeria 1
OM - Oman 1
PA - Panama 1
PY - Paraguay 1
SC - Seychelles 1
SK - Slovacchia (Repubblica Slovacca) 1
SN - Senegal 1
TH - Thailandia 1
TJ - Tagikistan 1
TT - Trinidad e Tobago 1
TW - Taiwan 1
Totale 7.432
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Città #
Ann Arbor 593
Frankfurt am Main 425
Dublin 398
Houston 382
Chandler 316
Milan 316
Southend 291
Singapore 153
Jacksonville 151
Ashburn 94
Dearborn 89
Fairfield 84
Izmir 81
Hong Kong 78
Moscow 74
Toronto 70
New York 69
Redwood City 67
Dong Ket 63
The Dalles 58
Woodbridge 58
Wilmington 56
Beijing 54
Boardman 54
Rome 53
Menlo Park 50
Seattle 46
Boston 43
Cambridge 41
Helsinki 38
Los Angeles 38
Lawrence 35
Modena 35
Munich 31
London 29
Mountain View 26
Tel Aviv 23
Brussels 19
Fremont 18
Bologna 16
Mumbai 16
Vienna 16
Paris 14
Chicago 13
Jakarta 12
Norwalk 12
Brno 11
Gualtieri 11
Nanjing 11
Hefei 9
Redmond 9
Falls Church 8
North Bergen 8
Nuremberg 8
São Paulo 8
Torino 8
Auburn Hills 7
Aversa 7
Brescia 7
Cesena 7
Como 7
Düsseldorf 7
Guangzhou 7
Lazzate 7
San Francisco 7
Turin 7
Udine 7
Zhengzhou 7
Zurich 7
Amsterdam 6
Assago 6
Braunschweig 6
Bucharest 6
Falkenstein 6
Giaveno 6
Haymarket 6
Kunming 6
Ladispoli 6
Lauterbourg 6
Nijmegen 6
Bonndorf 5
Istanbul 5
Leawood 5
Lisbon 5
Offenbach 5
Ottawa 5
Palombara Sabina 5
Rio de Janeiro 5
Robbiate 5
Savona 5
Tappahannock 5
Tokyo 5
Bari 4
Colombo 4
Florence 4
Genoa 4
Irvine 4
Lansing 4
Lima 4
Macerata 4
Totale 5.038
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Nome #
A behavioral characterization of the Drift Diffusion Model and its multi-alternative extension for choice under time pressure 457
Unreasonable effectiveness of learning neural networks: from accessible states and robust ensembles to basic algorithmic schemes 424
Unveiling the Structure of Wide Flat Minima in Neural Networks 336
Role of synaptic stochasticity in training low-precision neural networks 319
Shaping the learning landscape in neural networks around wide flat minima 292
From luminance to semantics: how natural objects are represented in monkey inferotemporal cortex. 286
Properties of the geometry of solutions and capacity of multilayer neural networks with rectified linear unit activations 281
Learning may need only a few bits of synaptic precision 278
Entropy-SGD: biasing gradient descent into wide valleys 271
Efficiency of quantum vs. classical annealing in nonconvex learning problems 249
Input-driven unsupervised learning in recurrent neural networks 244
Local entropy as a measure for sampling solutions in constraint satisfaction problems 238
Entropic gradient descent algorithms and wide flat minima 224
Subdominant dense clusters allow for simple learning and high computational performance in neural networks with discrete synapses 222
From inverse problems to learning: a statistical mechanics approach 218
Fast and accurate multivariate Gaussian modeling of protein families: predicting residue contacts and protein-interaction partners 200
RNAs competing for microRNAs mutually influence their fluctuations in a highly non-linear microRNA-dependent manner in single cells 191
A three-threshold learning rule approaches the maximal capacity of recurrent neural networks 191
Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition 183
Shape similarity, better than semantic membership, accounts for the structure of visual object representations in a population of monkey inferotemporal neurons 182
From statistical inference to a differential learning rule for stochastic neural networks 170
Clustering of solutions in the symmetric binary perceptron 169
Efficient supervised learning in networks with binary synapses 164
A method to reduce the rejection rate in Monte Carlo Markov chains 162
Binary synapse circuitry for high efficiency learning algorithm using generalized boundary condition memristor models 140
Sharing information to reconstruct patient-specific pathways in heterogeneous diseases 134
Efficient supervised learning in networks with binary synapses 128
Statistical physics and network optimization problems 124
A Max-Sum algorithm for training discrete neural networks 118
Entropic gradient descent algorithms and wide flat minima 117
Theory and learning protocols for the material tempotron model 110
Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures 104
Generalization learning in a perceptron with binary synapses 99
Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry 86
Simultaneous identification of specifically interacting paralogs and interprotein contacts by direct coupling analysis 86
Predicting interacting protein pairs by coevolutionary paralog matching 86
Typical and atypical solutions in nonconvex neural networks with discrete and continuous weights 75
Systematically and efficiently improving k-means initialization by pairwise-nearest-neighbor smoothing 66
Learning through atypical phase transitions in overparameterized neural networks 64
Recombinator-k-means: an evolutionary algorithm that exploits k-means++ for recombination 45
Quantum approximate optimization algorithm applied to the binary perceptron 44
Ergodic Annealing: Intelligent Optimization Under Uncertainty 26
Totale 7.603
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Categoria #
all - tutte 25.895
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 25.895
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/202061 0 0 0 0 0 0 0 0 0 0 0 61
2020/20211.244 51 134 82 129 96 100 124 67 121 147 81 112
2021/2022793 57 82 21 47 69 44 50 71 41 88 93 130
2022/20231.707 143 190 133 235 100 89 39 105 534 59 42 38
2023/2024739 45 51 52 20 53 103 64 88 32 56 50 125
2024/20251.197 46 19 107 106 75 54 90 62 341 102 123 72
Totale 7.603