RESTELLI, MARCELLO
 Distribuzione geografica
Continente #
NA - Nord America 20.309
EU - Europa 12.619
AS - Asia 10.544
SA - Sud America 1.842
Continente sconosciuto - Info sul continente non disponibili 458
AF - Africa 402
OC - Oceania 58
Totale 46.232
Nazione #
US - Stati Uniti d'America 19.594
RU - Federazione Russa 4.594
IT - Italia 3.849
SG - Singapore 3.500
CN - Cina 2.569
BR - Brasile 1.488
VN - Vietnam 1.330
KR - Corea 727
DE - Germania 638
FR - Francia 598
GB - Regno Unito 592
JP - Giappone 574
HK - Hong Kong 562
CA - Canada 465
FI - Finlandia 348
SE - Svezia 340
UA - Ucraina 315
AT - Austria 312
NL - Olanda 269
IN - India 217
ES - Italia 200
IE - Irlanda 198
ID - Indonesia 161
MA - Marocco 151
BD - Bangladesh 141
AR - Argentina 122
JO - Giordania 111
IQ - Iraq 89
TR - Turchia 86
PL - Polonia 85
TW - Taiwan 78
MX - Messico 64
CH - Svizzera 63
EC - Ecuador 59
PH - Filippine 59
ZA - Sudafrica 59
CI - Costa d'Avorio 57
BE - Belgio 53
AU - Australia 51
JM - Giamaica 49
CO - Colombia 42
SA - Arabia Saudita 41
PK - Pakistan 40
VE - Venezuela 36
CR - Costa Rica 32
IR - Iran 31
UZ - Uzbekistan 28
CL - Cile 26
IL - Israele 26
PY - Paraguay 25
KE - Kenya 23
MY - Malesia 23
HN - Honduras 22
EG - Egitto 20
GR - Grecia 20
CZ - Repubblica Ceca 19
TH - Thailandia 19
BJ - Benin 18
NP - Nepal 18
PT - Portogallo 18
AE - Emirati Arabi Uniti 17
PE - Perù 17
DZ - Algeria 16
LT - Lituania 16
AZ - Azerbaigian 15
TN - Tunisia 14
KZ - Kazakistan 13
RO - Romania 13
UY - Uruguay 13
KG - Kirghizistan 12
NI - Nicaragua 12
BO - Bolivia 11
DO - Repubblica Dominicana 11
PR - Porto Rico 10
BG - Bulgaria 9
HR - Croazia 9
LK - Sri Lanka 9
TT - Trinidad e Tobago 9
AL - Albania 8
OM - Oman 8
PA - Panama 8
SV - El Salvador 8
AM - Armenia 7
ET - Etiopia 7
LB - Libano 7
NO - Norvegia 7
SN - Senegal 7
EE - Estonia 6
EU - Europa 6
GT - Guatemala 6
LV - Lettonia 6
NZ - Nuova Zelanda 6
RS - Serbia 6
AO - Angola 5
DK - Danimarca 4
GP - Guadalupe 4
HU - Ungheria 4
SI - Slovenia 4
SK - Slovacchia (Repubblica Slovacca) 4
BB - Barbados 3
Totale 45.701
Città #
Ashburn 2.901
Singapore 2.025
San Jose 1.928
Milan 1.352
Chandler 1.085
Santa Clara 922
Fairfield 843
Woodbridge 704
Dallas 684
Moscow 638
Seoul 608
Council Bluffs 586
Hefei 578
Houston 577
Tokyo 490
Ann Arbor 489
Hong Kong 463
Wilmington 456
Boardman 426
Seattle 415
Los Angeles 408
Beijing 404
The Dalles 395
Ho Chi Minh City 333
Cambridge 310
Vienna 278
Lauterbourg 267
Hanoi 265
New York 239
Rome 222
North Charleston 206
Dublin 192
Phoenix 180
Lawrence 178
Jacksonville 174
Helsinki 170
London 164
Frankfurt am Main 159
São Paulo 150
Medford 149
Buffalo 136
Dearborn 136
Ottawa 126
Redwood City 123
Dong Ket 119
Amman 111
Amsterdam 105
Jakarta 103
Málaga 100
Chicago 98
Kent 98
Las Vegas 93
Shanghai 73
Kenitra 71
San Diego 69
Washington 69
Da Nang 68
Montreal 66
Brooklyn 65
Orem 63
Guangzhou 61
Toronto 61
Warsaw 60
Pincourt 59
Casablanca 57
Atlanta 56
Abidjan 55
Naples 55
Redmond 55
Stockholm 55
Turin 52
Taipei 51
Des Moines 49
Bologna 48
Brussels 48
Haiphong 46
Denver 44
Rio de Janeiro 44
Düsseldorf 43
Florence 41
Tianjin 41
Lappeenranta 37
Palermo 37
Princeton 36
Turku 36
Miami 35
Monza 33
Chennai 31
Munich 31
Southampton 31
Changsha 30
Manchester 30
Nuremberg 29
Philadelphia 29
Belo Horizonte 28
Boston 28
Dhaka 28
San Francisco 28
Columbus 27
Paris 27
Totale 26.577
Nome #
AI, Machine Learning e Data Mining 623
A Combinatorial-Bandit Algorithm for the Online Joint Bid/Budget Optimization of Pay-per-Click Advertising Campaigns 449
Reinforcement Learning Control of Functional Electrical Stimulation of the upper limb: a feasibility study. 382
A practical guide to multi-objective reinforcement learning and planning 353
A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics 328
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control 314
Stochastic Rising Bandits 310
Internet advertising for non-stationary environments 309
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients 276
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP 263
A framework for robust sensing in multi--agent systems 260
A data-driven Dynamic Emulation Modelling approach for the management of large, distributed water resources systems 260
Following Newton direction in Policy Gradient with parameter exploration 260
Multi-objective reinforcement learning with continuous pareto frontier approximation 257
A multiobjective reinforcement learning approach to water resources systems operation: Pareto frontier approximation in a single run 250
Multi-objective Reinforcement Learning through Continuous Pareto Manifold Approximation 250
An upper limb Functional Electrical Stimulation controller based on Reinforcement Learning: A feasibility case study. 250
Policy Search for the Optimal Control of Markov Decision Processes: A Novel Particle-Based Iterative Scheme 248
Abstract PO-065: Artificial intelligence to improve selection for NSCLC patients treated with immunotherapy 247
On the use of the policy gradient and Hessian in inverse reinforcement learning 246
Conservative Online Convex Optimization 246
A model to manage data reliability in Behavior-based Robotics 241
A Data-Based Approach for the Prediction of Stuck-Pipe Events in Oil Drilling Operations 237
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction 232
Does Reinforcement Learning outperform PID in the control of FES-induced elbow flex-extension? 231
Multi-armed bandit for pricing 227
Driving exploration by maximum distribution in gaussian process bandits 226
Risk-averse policy optimization via risk-neutral policy optimization 222
Learning FX trading strategies with FQI and persistent actions 222
Improving multi-armed bandit algorithms in online pricing settings 222
Policy gradient in Lipschitz Markov Decision Processes 222
Batch Reinforcement Learning for Controlling a Mobile Wheeled Pendulum Robot 220
Exploiting structure and uncertainty of Bellman updates in Markov decision processes 219
An Intrinsically-Motivated Approach for Learning Highly Exploring and Fast Mixing Policies 219
Gradient-based minimization for multi-expert Inverse Reinforcement Learning 218
Optimistic Policy Optimization via Multiple Importance Sampling 213
Bifurcation Analysis of Reinforcement Learning Agents in the Selten’s Horse Game 213
Feature Selection via Mutual Information: New Theoretical Insights 212
Fun2Mas: the Milan Robocup Team 211
A Learning Approach to Dynamic Coalition Formation 211
Estimating the maximum expected value in continuous reinforcement learning problems 210
Targeting Optimization for Internet Advertising by Learning from Logged Bandit Feedback 210
The Human Nasal Cavity: Towards the Optimal Surgery with CFD and Machine Learning 210
Dealing with interdependencies and uncertainty in multi-channel advertising campaigns optimization 209
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving 207
Online joint bid/daily budget optimization of Internet advertising campaigns 207
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems 206
A probabilistic framework for weighting different sensor data in murea 205
Dealing with Transaction Costs in Portfolio Optimization: Online Gradient Descent with Momentum 205
A particle-based policy for the optimal control of Markov decision processes 204
Addressing Non-Stationarity in FX Trading with Online Model Selection of Offline RL Experts 202
A novel model to rule behavior interaction 202
A Kinematic-independent Dead-reckoning Sensor for Indoor Mobile Robotics 202
Monte carlo tree search for trading and hedging 201
Tree-based Fitted Q-iteration for Multi-Objective Markov Decision problems 201
The EU-funded I3LUNG Project: Integrative Science, Intelligent Data Platform for Individualized LUNG Cancer Care With Immunotherapy 200
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning 198
Exploiting History Data for Nonstationary Multi-armed Bandit 197
Best Arm Identification for Stochastic Rising Bandits 195
Towards Automated Bargaining in Electronic Markets: a Partially Two-Sided Competition Model 194
Regret Minimization Algorithms for the Follower’s Behaviour Identification in Leadership Games 193
La miscelazione delle acque dopo osmosi inversa 191
Learning Optimal Policies with State Aggregation 190
Inferring Functional Properties from Fluid Dynamics Features 190
A data-driven Dynamic Emulation Modelling approach for the management of large, distributed water resources systems 189
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters 189
A Reinforcement Learning controller optimizing costs and battery State of Health in smart grids 188
Gaussian approximation for bias reduction in Q-learning 188
Learning to cooperate in multi-agent social dilemmas 187
Reconstruction of public transport state 187
Model-Free Non-Stationarity Detection and Adaptation in Reinforcement Learning 187
Dynamic Emulation Modelling of a 1D Hydrodynamic-Ecological Model: Tono Dam Case Study 187
Goal-Directed Planning via Hindsight Experience Replay 186
LEAP: Learning Entities Adaptive Partitioning. 186
Configurable Markov Decision Processes 186
Dark-Pool Smart Order Routing: a Combinatorial Multi-armed Bandit Approach 185
Dynamic Pricing with Volume Discounts in Online Settings 185
Tree-based reinforcement learning for optimal water reservoir operation 185
Switching Latent Bandits 183
Gradient-Aware Model-Based Policy Search 183
ARLO: A framework for Automated Reinforcement Learning 182
Estimating Maximum Expected Value through Gaussian Approximation 182
A voltage dynamic-based state of charge estimation method for batteries storage systems 181
A COMPUTER IMPLEMENTED METHOD FOR REAL TIME QUANTUM COMPILING BASED ON ARTIFICIAL INTELLIGENCE 180
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning 180
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems 180
Fitted Policy Search: Direct Policy Search using a Batch Reinforcement Learning Approach 179
Batch Reinforcement Learning for Semi-Active Suspension Control 179
Importance Weighted Transfer of Samples in Reinforcement Learning 179
Reinforcement Learning in Continuous Action Spaces through Sequential Monte Carlo Methods. 178
Yahtzee: a Large Stochastic Environment for RL Benchmarks 178
Data-driven dynamic emulation modelling for the optimal management of environmental systems 178
MushroomRL: Simplifying Reinforcement Learning Research 178
Sparse Multi-Task Reinforcement Learning 177
Pricing the Long Tail by Explainable Product Aggregation and Monotonic Bandits 176
Coherent transport of quantum states by deep reinforcement learning 176
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions 175
Sliding-Window Thompson Sampling for Non-Stationary Settings 174
Advancing drought monitoring via feature extraction and multi-task learning algorithms 173
Autoregressive Bandits 173
Totale 21.967
Categoria #
all - tutte 129.583
article - articoli 27.375
book - libri 0
conference - conferenze 99.225
curatela - curatele 0
other - altro 0
patent - brevetti 885
selected - selezionate 0
volume - volumi 2.098
Totale 259.166


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2021/20221.390 0 0 0 104 232 60 111 95 138 135 207 308
2022/20232.796 279 305 126 271 293 273 42 214 496 206 190 101
2023/20241.924 129 260 166 155 109 229 96 150 50 255 42 283
2024/20256.085 70 127 139 120 991 467 229 549 845 413 1.070 1.065
2025/202622.935 3.809 3.649 1.639 1.767 1.145 1.018 3.336 1.148 1.441 1.974 612 1.397
2026/20273.467 769 609 1.639 450 0 0 0 0 0 0 0 0
Totale 46.232