statistiche ricercatore

GENTILE, CLAUDIO

Distribuzione geografica

Continente	#
NA - Nord America	3.300
EU - Europa	2.795
AS - Asia	554
Continente sconosciuto - Info sul continente non disponibili	3
Totale	6.652

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Nazione	#
US - Stati Uniti d'America	3.299
IT - Italia	1.569
UA - Ucraina	578
TR - Turchia	213
SE - Svezia	201
VN - Vietnam	182
FI - Finlandia	137
CN - Cina	130
IE - Irlanda	117
DE - Germania	89
GB - Regno Unito	63
IN - India	27
FR - Francia	21
BE - Belgio	12
EU - Europa	3
NL - Olanda	2
RO - Romania	2
DK - Danimarca	1
GR - Grecia	1
HR - Croazia	1
HU - Ungheria	1
JP - Giappone	1
PA - Panama	1
PH - Filippine	1
Totale	6.652

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Città	#
Milan	1.208
Fairfield	452
Jacksonville	442
Woodbridge	331
Houston	256
Ashburn	221
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
Beijing	52
San Mateo	52
Como	36
San Diego	32
Ogden	20
Brussels	12
Hefei	12
Verona	11
Washington	11
Düsseldorf	10
Nanjing	9
Kunming	8
New York	7
Norwalk	7
Auburn Hills	6
Chengdu	6
London	6
Bangalore	5
Los Angeles	5
Boardman	4
Guangzhou	4
Helsinki	4
Kilburn	4
Baotou	3
Fuzhou	3
Ho Chi Minh City	3
Nanchang	3
Shenyang	3
Wuhan	3
Bollate	2
Changsha	2
Hebei	2
Jinan	2
Nanning	2
Philadelphia	2
Phoenix	2
Quzhou	2
Redmond	2
Timisoara	2
Zhengzhou	2
Acton	1
Amsterdam	1
Athens	1
Bitonto	1
Bologna	1
Budapest	1
Changping	1
Chaoyang	1
Chicago	1
Chiswick	1
Copenhagen	1
Edinburgh	1
Fremont	1
Harbin	1
Indiana	1
Jiaxing	1
Maasbommel	1
Manila	1
Nuremberg	1
Panama City	1
Portland	1
Pune	1
Redwood City	1
Rocca Massima	1
Seriate	1
Shaoxing	1
Shenzhen	1
Southwark	1
Tokyo	1
Torino	1
Trento	1
Wandsworth	1
Wenzhou	1
Xian	1
Yinchuan	1
Zagreb	1
Totale	4.984

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Nome	#
Regret minimization for reserve prices in second-price auctions	159
P-sufficient statistics for PAC learning k-term-DNF formulas through enumeration	147
Multiclass classification with bandit feedback using adaptive regularization	147
Sample size lower bounds in PAC learning by algorithmic complexity theory	141
Collaborative Filtering Bandits	128
The robustness of the p-norm algorithms	127
Multiclass classification with bandit feedback using adaptive regularization	127
An Evaluation of Function Point Counting Based on Measurement-Oriented Models	126
Identification of mobile phones using the built-in magnetometers stimulated by motion patterns	126
Adaptive and self-confident on-line learning algorithms	125
Learning Noisy Linear Classifiers via Adaptive and Selective Sampling	123
Measures to address the lack of portability of the RF fingerprints for radiometric identification	123
A second-order Perceptron algorithm	122
On multilabel classification and ranking with bandit feedback	118
A second-order perceptron algorithm	118
Learning probabilistic linear-threshold classifiers via selective sampling	115
Robust bounds for classification via selective sampling	113
Regret Minimization for Reserve Prices in Second-Price Auctions	110
Tracking the best hyperplane with a simple budget perceptron	109
Predicting the labels of an unknown graph via adaptive exploration	109
Improved lower bounds for learning from noisy examples: an information-theoretic approach	108
Tracking the best hyperplane with a simple budget perceptron	108
Online Similarity Prediction of Networked Data from Known and Unknown Graphs	106
Improved risk tail bounds for on-line algorithms	105
On the generalization ability of on-line learning algorithms	105
Improved lower bounds for learning from noisy examples: an information-theoretic approach	104
Adaptive and self-confident on-line learning algorithms	103
Fast and optimal prediction of a labeled tree	101
Improved risk tail bounds for on-line algorithms	101
Algorithmic learning theory: 26th international conference, ALT 2015 Banff, AB, Canada, october 4-6, 2015 proceedings	101
The robustness of the p-norm algorithms	100
Comparison of techniques for radiometric identification based on deep convolutional neural networks	100
Regret bounds for hierarchical classification with linear-threshold functions	98
On the generalization ability of on-line learning algorithms	95
Selective sampling and active learning from single and multiple teachers	90
Online Clustering of Bandits	90
Machine Learning, special issue on Colt 2007	89
From Bandits to Experts: A Tale of Domination and Independence	89
Incremental algorithms for hierarchical classification	86
null	84
Nonstochastic multi-armed bandits with graph-structured feedback	84
20th Conference on Learning Theory	81
A new approximate maximal margin clasification algorithm	77
Worst-Case Analysis of Selective sampling for linear-threshold algorithms	77
Kernel Methods for Document Filtering	77
Delay and Cooperation in Nonstochastic Bandits	72
Machine Learning, special issue on Colt 2001	71
Active learning on trees and graphs	71
A Correlation clustering approach to link classification in signed networks	69
Incremental algorithms for hierarchical classification	68
Hierarchical classification: combining Bayes with SVM	67
Random spanning trees and the prediction of weighted graphs	67
Linear algorithms for online multitask classification	66
Worst-case analysis of selective sampling for linear-threshold algorithms	66
Rete d'Eccellenza PASCAL	65
Algorithmic chaining and the role of partial feedback in online nonparametric learning.	64
Fast feature selection from microarray expression data via multiplicative large margin algorithms	63
On Context-Dependent Clustering of Bandits.	63
A new approximate maximal margin clasification algorithm	62
Margin-based algorithms for information filtering	61
A linear time active learning algorithm for link classification	60
Linear classification and selective sampling under low noise conditions	59
Regret Minimization for Branching Experts	59
Linear algorithms for online multitask classification	58
Beyond logarithmic bounds in online learning	57
Kernel methods for document filtering	57
Linear hinge loss and average margin	56
Learning unknown graphs	54
Robust Selective Sampling from Single and Multiple Teachers	54
On multilabel classification and ranking with partial feedback	54
See the tree through the lines: the Shazoo algorithm	53
On higher-order Perceptron algorithms	53
Random spanning trees and the prediction of weighted graphs	52
A gang of Bandits	51
Online graph prediction with random trees	33
Totale	6.677

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Categoria	#
all - tutte	19.411
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	19.411

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	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2018/2019	397	0	0	0	0	0	0	0	0	0	0	162	235
2019/2020	1.252	51	42	52	250	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	1.699	302	286	327	308	319	103	6	9	35	4	0	0
Totale													6.677