statistiche ricercatore

GENTILE, CLAUDIO

Distribuzione geografica

Continente	#
NA - Nord America	3.432
EU - Europa	2.806
AS - Asia	606
SA - Sud America	8
Continente sconosciuto - Info sul continente non disponibili	3
AF - Africa	1
Totale	6.856

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Nazione	#
US - Stati Uniti d'America	3.431
IT - Italia	1.574
UA - Ucraina	578
TR - Turchia	213
SE - Svezia	201
VN - Vietnam	182
FI - Finlandia	141
CN - Cina	130
IE - Irlanda	117
DE - Germania	89
GB - Regno Unito	64
SG - Singapore	52
IN - India	27
FR - Francia	21
BE - Belgio	12
BR - Brasile	8
EU - Europa	3
NL - Olanda	3
RO - Romania	2
DK - Danimarca	1
GR - Grecia	1
HR - Croazia	1
HU - Ungheria	1
JP - Giappone	1
PA - Panama	1
PH - Filippine	1
ZA - Sudafrica	1
Totale	6.856

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Città	#
Milan	1.208
Fairfield	452
Jacksonville	442
Woodbridge	331
Houston	256
Ashburn	223
Wilmington	206
Ann Arbor	202
Chandler	192
Seattle	169
Princeton	146
Cambridge	144
Izmir	132
Dublin	117
Nyköping	111
Rome	92
Dong Ket	83
Dearborn	81
Boardman	78
Beijing	52
San Mateo	52
Singapore	41
Como	36
San Diego	32
Ogden	20
Santa Clara	16
Chicago	14
Brussels	12
Hefei	12
Verona	11
Washington	11
Düsseldorf	10
Nanjing	9
Kunming	8
New York	7
Norwalk	7
Auburn Hills	6
Chengdu	6
Helsinki	6
London	6
Bangalore	5
Los Angeles	5
Guangzhou	4
Kilburn	4
Baotou	3
Fuzhou	3
Ho Chi Minh City	3
Nanchang	3
Shenyang	3
Wuhan	3
Bollate	2
Changsha	2
Dallas	2
Espoo	2
Hebei	2
Jinan	2
Nanning	2
Philadelphia	2
Phoenix	2
Pieve a Nievole	2
Quzhou	2
Redmond	2
Sete Lagoas	2
Timisoara	2
Zhengzhou	2
Acton	1
Amsterdam	1
Athens	1
Bitonto	1
Bologna	1
Budapest	1
Cape Town	1
Catania	1
Changping	1
Chaoyang	1
Chiswick	1
Copenhagen	1
Edinburgh	1
Fremont	1
Harbin	1
Indiana	1
Itaguaí	1
Jiaxing	1
Maasbommel	1
Manila	1
Maringá	1
Nuremberg	1
Panama City	1
Portland	1
Pune	1
Redwood City	1
Ribeirão Preto	1
Rio de Janeiro	1
Rocca Massima	1
Sandston	1
Seriate	1
Shaoxing	1
Shenzhen	1
Southwark	1
São Paulo	1
Totale	5.140

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Nome	#
Regret minimization for reserve prices in second-price auctions	161
P-sufficient statistics for PAC learning k-term-DNF formulas through enumeration	152
Multiclass classification with bandit feedback using adaptive regularization	149
Sample size lower bounds in PAC learning by algorithmic complexity theory	145
On multilabel classification and ranking with bandit feedback	140
An Evaluation of Function Point Counting Based on Measurement-Oriented Models	132
Collaborative Filtering Bandits	130
The robustness of the p-norm algorithms	129
Multiclass classification with bandit feedback using adaptive regularization	129
A second-order Perceptron algorithm	128
Identification of mobile phones using the built-in magnetometers stimulated by motion patterns	128
Adaptive and self-confident on-line learning algorithms	127
Learning Noisy Linear Classifiers via Adaptive and Selective Sampling	125
Measures to address the lack of portability of the RF fingerprints for radiometric identification	125
A second-order perceptron algorithm	120
Learning probabilistic linear-threshold classifiers via selective sampling	117
Robust bounds for classification via selective sampling	115
Tracking the best hyperplane with a simple budget perceptron	113
Regret Minimization for Reserve Prices in Second-Price Auctions	112
Improved lower bounds for learning from noisy examples: an information-theoretic approach	111
Predicting the labels of an unknown graph via adaptive exploration	111
Tracking the best hyperplane with a simple budget perceptron	110
Improved risk tail bounds for on-line algorithms	108
Fast and optimal prediction of a labeled tree	108
On the generalization ability of on-line learning algorithms	108
Online Similarity Prediction of Networked Data from Known and Unknown Graphs	108
Improved lower bounds for learning from noisy examples: an information-theoretic approach	106
Adaptive and self-confident on-line learning algorithms	105
Improved risk tail bounds for on-line algorithms	103
Algorithmic learning theory: 26th international conference, ALT 2015 Banff, AB, Canada, october 4-6, 2015 proceedings	103
Comparison of techniques for radiometric identification based on deep convolutional neural networks	103
The robustness of the p-norm algorithms	102
Regret bounds for hierarchical classification with linear-threshold functions	100
On the generalization ability of on-line learning algorithms	98
Selective sampling and active learning from single and multiple teachers	92
Online Clustering of Bandits	92
Machine Learning, special issue on Colt 2007	91
From Bandits to Experts: A Tale of Domination and Independence	91
Incremental algorithms for hierarchical classification	88
Nonstochastic multi-armed bandits with graph-structured feedback	86
null	84
20th Conference on Learning Theory	84
A new approximate maximal margin clasification algorithm	80
Worst-Case Analysis of Selective sampling for linear-threshold algorithms	80
Kernel Methods for Document Filtering	79
Machine Learning, special issue on Colt 2001	74
Delay and Cooperation in Nonstochastic Bandits	74
Active learning on trees and graphs	73
A Correlation clustering approach to link classification in signed networks	71
Hierarchical classification: combining Bayes with SVM	70
Incremental algorithms for hierarchical classification	70
Random spanning trees and the prediction of weighted graphs	69
Rete d'Eccellenza PASCAL	68
Linear algorithms for online multitask classification	68
Worst-case analysis of selective sampling for linear-threshold algorithms	68
Algorithmic chaining and the role of partial feedback in online nonparametric learning.	67
Fast feature selection from microarray expression data via multiplicative large margin algorithms	65
On Context-Dependent Clustering of Bandits.	65
A new approximate maximal margin clasification algorithm	64
Margin-based algorithms for information filtering	63
A linear time active learning algorithm for link classification	62
Linear classification and selective sampling under low noise conditions	61
Regret Minimization for Branching Experts	61
Beyond logarithmic bounds in online learning	60
Linear algorithms for online multitask classification	60
Kernel methods for document filtering	59
Linear hinge loss and average margin	58
Random spanning trees and the prediction of weighted graphs	56
Learning unknown graphs	56
Robust Selective Sampling from Single and Multiple Teachers	56
On multilabel classification and ranking with partial feedback	56
See the tree through the lines: the Shazoo algorithm	55
On higher-order Perceptron algorithms	55
A gang of Bandits	53
Online graph prediction with random trees	36
Totale	6.881

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Categoria	#
all - tutte	24.195
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	24.195

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	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2019/2020	857	0	0	0	0	70	117	162	171	97	115	32	93
2020/2021	1.047	19	100	51	98	48	135	42	90	169	34	93	168
2021/2022	578	73	67	54	11	15	25	23	46	23	97	54	90
2022/2023	650	77	0	43	51	48	179	0	91	104	20	10	27
2023/2024	1.704	302	286	327	308	319	103	6	9	35	4	1	4
2024/2025	199	0	2	163	13	21	0	0	0	0	0	0	0
Totale													6.881