IRIS
GNECCO, GIORGIO STEFANO
 Distribuzione geografica
Salva come PNG Salva come JPEG
Continente #
EU - Europa 9.079
AS - Asia 77
SA - Sud America 19
NA - Nord America 2
Totale 9.177
Salva come PNG Salva come JPEG
Nazione #
IT - Italia 9.079
CN - Cina 61
BR - Brasile 12
SG - Singapore 8
VN - Vietnam 7
AR - Argentina 4
US - Stati Uniti d'America 2
BD - Bangladesh 1
EC - Ecuador 1
PE - Perù 1
PY - Paraguay 1
Totale 9.177
Salva come PNG Salva come JPEG
Città #
Genova 5.044
Genoa 2.549
Vado Ligure 776
Rapallo 686
Bordighera 24
Beijing 23
Ho Chi Minh City 4
Ashburn 2
Afonso Cláudio 1
Aparecida de Goiânia 1
Avellaneda 1
Ciudad del Este 1
Da Nang 1
Dhaka 1
Ezeiza 1
Florianópolis 1
Itajubá 1
Lima 1
Magé 1
San Miguel de Tucumán 1
Santa Elena 1
Santo Antônio de Goiás 1
Socorro 1
Suzano 1
São José 1
São Paulo 1
Taboão da Serra 1
Uberlândia 1
Totale 9.128
Salva come PNG Salva come JPEG
Nome #
A Model of Buffer Occupancy for ICNs 214
A stochastic knapsack problem with nonlinear capacity constraint 173
A theoretical analysis of buffer occupancy for Intermittently-Connected Networks 161
Commitment-Based Equilibrium Environmental Strategies Under Time-Dependent Absorption Efficiency 158
Approximation structures with moderate complexity in functional optimization and dynamic programming 157
Accuracy of Suboptimal Solutions to Kernel Principal Component Analysis 152
Classifiers for the Detection of Flood Prone Areas Using Remote Sensed Elevation Data 151
Accuracy of approximations of solutions to Fredholm equations by kernel methods 151
Suboptimal solutions to team optimization problems with stochastic information structure 150
On Spectral Windows in Supervised Learning From Data 149
Functional Optimization by Variable-Basis Approximation Schemes 147
Suboptimal Solutions to Dynamic Optimization Problems via Approximations of the Policy Functions 146
Smooth Optimal Decision Strategies for Static Team Optimization Problems and Their Approximations 143
An Application to Two-Hop Forwarding of a Model of Buffer Occupancy in ICNs 139
Error Bounds for Suboptimal Solutions to Kernel Principal Component Analysis 136
A Comparison Between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization 136
The weight-decay technique in learning from data: An optimization point of view 133
Approximation and estimation bounds for subsets of reproducing kernel Krein spaces 133
Some Comparisons of Complexity in Dictionary-Based and Linear Computational Models 132
Deterministic optimal control over a finite horizon 123
Estimates of Variation with Respect to a Set and Applications to Optimization Problems 119
A Generalized Stochastic Knapsack Problem with Application in Call Admission Control 118
Classifiers for the detection of flood prone areas from remote sensed elevation data 118
Approach to Transportation Network Analysis via Transferable Utility Games 117
Expressive non-verbal interaction in string quartet 116
CAC with Nonlinearly-Constrained Feasibility Regions 116
Approximate Dynamic Programming by Value-Function Approximation via Variable-Basis Schemes 115
Dynamic programming and value-function approximation with application to optimal consumption 115
New Insights into Witsenhausen’s Counterexample 114
Bounds for approximate solutions of Fredholm integral equations using kernel networks 113
Design of mathematical models by learning from data and FSP functions 113
Regularization Techniques and Suboptimal Solutions to Optimization Problems in Learning from Data 112
Value and Policy Function Approximations in Infinite-Horizon Optimization Problems 110
Regularization and Suboptimal Solutions in Learning from Data 109
Graph-Restricted Game Approach for Investigating Human Movement Qualities 109
Decentralized Optimization Problems with Cooperating Decision Makers 108
Stochastic optimal control with perfect state information over a finite horizon 106
Can Dictionary-Based Computational Models Outperform the Best Linear Ones? 104
Neural Approximations for Optimal Control and Decision 104
Optimal control problems over an infinite Horizon 104
Iterative Design of Two Art-Inspired Experimental Scenarios for Collecting Expressive Movement Data of Individuals and Groups 103
Suboptimal Solutions to Team Optimization Problems with Statistical Information Structure 103
Analysis of human movement qualities via an automated approach based on cooperative games on graphs 102
The basic infinite-dimensional or functional optimization problem 102
On a Variational Norm Tailored to Variable-Basis Approximation Schemes 101
Some Comparisons of Model Complexity in Linear and Neural-Network Approximation 98
Some families of FSP functions and their properties 98
Computationally Efficient Approximation Schemes for Functional Optimization 96
Information-complexity of infinite-dimensional optimization problems and their approximation schemes 95
Numerical methods for integration and search for minima 94
Team Optimization Problems with Lipschitz Continuous Strategies 93
Structural properties of optimal coordinate-convex policies for CAC with nonlinearly-constrained feasibility regions 90
A Novel Optimal-Control-Based Model of Online Learning from Data 89
Exploiting Structural Results in Approximate Dynamic Programming 88
A Game-Theoretic Approach to Transportation Network Analysi 88
A constrained machine-learning paradigm with hard and soft constraints 88
Some Properties of Transportation Network Cooperative Games 88
A computational method to automatically detect the perceived origin of full-body human movement and its propagation 88
Automated Analysis of the Origin of Movement: An Approach Based on Cooperative Games on Graphs 86
Smoothness and Approximation of Optimal Decision Strategies in Team Optimization Problems 85
Stochastic optimal control with imperfect state information over a finite Horizon 85
From functional optimization to nonlinear programming by the extended Ritz method 85
Braess’ paradox: A cooperative game-theoretic point of view 83
Functional optimization in OR problems with very large numbers of variables 81
Evaluation of individual contributions in a group estimate of the position of a moving point of common interest 81
Structural Properties of Stochastic Dynamic Concave Optimization Problems and Approximations of the Value and Optimal Policy Functions 80
Team optimal control problems 80
Optimality conditions for a nonlinear stochastic knapsack problem 75
Deriving Approximation Error Bounds via Rademacher Complexity and Learning Theory 75
Types of leadership in a string quartet 73
On call admission control with nonlinearly constrained feasibility regions 73
A Game-Theoretic Approach to Transportation Network Analysis 72
Preface 71
A game-theoretic approach for reliability evaluation of public transportation transfers with stochastic features 70
Computationally efficient approximation schemes for functional optimization 67
Improving Output Visualization of an Algorithm for the Automated Detection of the Perceived Origin of Movement 66
Estimates of the Approximation Error via Rademacher Complexity: Learning Vector-Valued Functions 65
Learning with Hard Constraints as a Limit Case of Learning with Soft Constraints 64
Neural approximations of the solutions to a class of stochastic optimal control problems 62
An extension of Braess’ paradox to transportation network cooperative games 61
Public Transport Transfers Assessment Via Transferable-Utility Games and Shapley-Value Approximation 60
Suboptimal Solutions to Network Team Optimization Problems 58
Suboptimal Solutions to Dynamic Optimization Problems: Extended Ritz Method Versus Approximate Dynamic Programming 58
Lipschitz Continuity of the Solutions to Team Optimization Problems Revisited 57
Braess' paradox and cooperative games 52
Public Transport Transfers Assessment via Transferable Utility Games and Shapley Value Approximation 46
Measuring Cues of Leadership, Cohesion, and Fluidity in Joint Full‐Body Movement to Support Embodied Interaction Design: A Pilot Study 42
Towards the Automated Analysis of Expressive Gesture Qualities in Full-Body Movement: The Perceived Origin of Movement 41
Multi-objective optimal design of mechanical metafilters based on principal component analysis 39
Transferable Utility Games for the Assessment of Public Transportation Transfers 37
Game Theoretic Approach for Reliability Evaluation of Public Transportation Transfers 37
Reliability evaluation of public transportation transfers via a game-theoretic approach 37
Deeper Insights into Neural Nets with Random Weights 35
On a Family of Transportation Network Cooperative Games 34
Combining machine learning and mathematical games for the automated analysis of the origin of movement 29
On Braess’ Paradox and Average Quality of Service in Transportation Network Cooperative Games 28
Detection of the Origin of Movement: Graph-Theoretical Model and Data Processing 24
Comparing features for detecting the origin of movement based on a graph-theoretical cooperative game model 23
Detecting the Perceived Origin of Full-Body Human Movement via Shapley Values of Games on Graphs 22
Braess paradox via Shapley value 21
Totale 9.348
Salva come PNG Salva come JPEG
Categoria #
all - tutte 31.476
article - articoli 12.297
book - libri 318
conference - conferenze 12.473
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 6.388
Totale 62.952
Salva come PNG Salva come JPEG


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021381 0 0 0 0 36 52 37 54 54 84 30 34
2021/20221.044 16 58 47 122 27 65 88 241 69 107 72 132
2022/2023887 86 65 15 107 113 143 16 67 143 11 103 18
2023/2024462 18 65 10 60 50 71 28 29 13 10 42 66
2024/20251.988 93 136 53 119 305 194 235 255 90 84 181 243
2025/2026844 334 91 196 208 15 0 0 0 0 0 0 0
Totale 9.372