Anelli, Vito Walter
 Distribuzione geografica
Continente #
NA - Nord America 3.318
EU - Europa 2.253
AS - Asia 2.245
SA - Sud America 736
AF - Africa 51
Continente sconosciuto - Info sul continente non disponibili 4
OC - Oceania 3
Totale 8.610
Nazione #
US - Stati Uniti d'America 3.225
SG - Singapore 672
BR - Brasile 604
CN - Cina 537
RU - Federazione Russa 486
IT - Italia 466
IE - Irlanda 342
HK - Hong Kong 263
VN - Vietnam 255
KR - Corea 167
SE - Svezia 166
DE - Germania 145
BG - Bulgaria 122
JP - Giappone 115
FI - Finlandia 89
UA - Ucraina 87
GB - Regno Unito 81
NL - Olanda 78
AR - Argentina 66
PL - Polonia 60
CA - Canada 42
TR - Turchia 42
IN - India 37
MY - Malesia 37
FR - Francia 36
MX - Messico 32
BD - Bangladesh 27
ZA - Sudafrica 27
ID - Indonesia 23
AT - Austria 21
EC - Ecuador 20
BE - Belgio 18
ES - Italia 18
CO - Colombia 14
PY - Paraguay 11
MA - Marocco 10
IQ - Iraq 9
AE - Emirati Arabi Uniti 8
AZ - Azerbaigian 8
LT - Lituania 8
CL - Cile 7
IL - Israele 7
UZ - Uzbekistan 7
CZ - Repubblica Ceca 6
EG - Egitto 6
PA - Panama 6
VE - Venezuela 6
CH - Svizzera 5
DO - Repubblica Dominicana 4
JO - Giordania 4
AM - Armenia 3
DZ - Algeria 3
EU - Europa 3
JM - Giamaica 3
LV - Lettonia 3
SA - Arabia Saudita 3
SK - Slovacchia (Repubblica Slovacca) 3
UY - Uruguay 3
AU - Australia 2
BH - Bahrain 2
BO - Bolivia 2
CY - Cipro 2
HU - Ungheria 2
KE - Kenya 2
KG - Kirghizistan 2
KZ - Kazakistan 2
LK - Sri Lanka 2
NO - Norvegia 2
PK - Pakistan 2
PR - Porto Rico 2
RO - Romania 2
TN - Tunisia 2
AL - Albania 1
AO - Angola 1
BB - Barbados 1
BY - Bielorussia 1
CR - Costa Rica 1
DK - Danimarca 1
GT - Guatemala 1
GY - Guiana 1
KH - Cambogia 1
LA - Repubblica Popolare Democratica del Laos 1
LB - Libano 1
MD - Moldavia 1
MK - Macedonia 1
NP - Nepal 1
NZ - Nuova Zelanda 1
OM - Oman 1
PE - Perù 1
PH - Filippine 1
PT - Portogallo 1
QA - Qatar 1
RS - Serbia 1
SR - Suriname 1
SV - El Salvador 1
TH - Thailandia 1
TM - Turkmenistan 1
XK - ???statistics.table.value.countryCode.XK??? 1
Totale 8.610
Città #
Dallas 702
Singapore 438
Dublin 340
Hong Kong 262
Chandler 249
Ashburn 213
Moscow 184
New York 184
Hefei 178
Seoul 167
Bari 147
Jacksonville 131
Sofia 122
Tokyo 114
The Dalles 113
Ann Arbor 101
Boardman 100
Santa Clara 88
Kent 87
Ho Chi Minh City 82
Malden 82
Los Angeles 79
Helsinki 76
Hanoi 66
São Paulo 60
Warsaw 54
Brooklyn 51
Ogden 47
Bremen 46
San Mateo 43
Lawrence 41
Beijing 39
Brielle 36
Conversano 35
Wilmington 34
Nanjing 32
Amsterdam 29
Munich 25
Rome 24
Dong Ket 23
Izmir 21
London 21
Guangzhou 20
Denver 19
Orem 18
Poplar 18
Pulsano 18
Brussels 17
Milan 17
Vienna 17
Rio de Janeiro 16
Toronto 16
Chennai 15
Chicago 15
Assago 14
Johannesburg 14
Council Bluffs 13
Frankfurt am Main 13
Montreal 13
San Francisco 13
Stockholm 13
Washington 13
Boston 12
Phoenix 12
Porto Alegre 12
Ankara 11
Columbus 11
Manchester 11
Curitiba 10
Mexico City 10
Seattle 10
Altamura 9
Atlanta 9
Belo Horizonte 9
Biên Hòa 9
Düsseldorf 9
Shenyang 9
Wuhan 9
Foggia 8
Houston 8
Santo André 8
Shanghai 8
Tianjin 8
Baku 7
Campinas 7
Haiphong 7
Jiaxing 7
Lappeenranta 7
Quito 7
Tashkent 7
Bergamo 6
Brasília 6
Cape Town 6
Changsha 6
Da Nang 6
Dearborn 6
Dhaka 6
Maceió 6
Miami 6
Paris 6
Totale 5.589
Nome #
Knowledge-Enabled Recommender Systems in the Linked Data Era 237
LOSM: A SPARQL endpoint to query open street map 182
An analysis on time- & session-Aware diversification in recommender systems 159
Auto-encoding user ratings via knowledge graphs in recommendation scenarios 157
Querying Deep Web Data Sources as Linked Data 156
A flexible framework for evaluating user and item fairness in recommender systems 153
Recommender systems fairness evaluation via generalized cross entropy 142
Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario 137
Exposing open street map in the linked data cloud 136
Anna: A Virtual Assistant to Interact with Puglia Digital Library 135
Efficient implementation of InSAR time-consuming algorithm kernels on GPU environment 134
Feature Factorization for top-n Recommendation: From item rating to features relevance 127
Linking geographical data: the case of Open Street Map 126
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization 126
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks — Concept to Code 125
2nd Workshop on knowledge-aware and conversational recommender systems - KaRS 121
Etytree: A Graphical and Interactive Etymology Dictionary based on Wiktionary 120
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting 119
Auditing fairness under unawareness through counterfactual reasoning 117
A Study of Defensive Methods to Protect Visual Recommendation against Adversarial Manipulation of Images 117
DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation 116
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders 115
Assessing perceptual and recommendation mutation of adversarially-poisoned visual recommenders 115
FedeRank: User Controlled Feedback with Federated Recommender Systems 115
Towards Effective Device-Aware Federated Learning 112
Knowledge-aware and conversational recommender systems 109
Adversarial Recommender Systems: Attack, Defense, and Advances 108
Addressing Privacy in Recommender Systems with Federated Learning 107
Knowledge-enhanced Shilling Attacks for Recommendation 107
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation 106
On the discriminative power of hyper-parameters in cross-validation and how to choose them 105
Knowledge-aware Interpretable Recommender Systems 103
On the role of time and sessions in diversifying recommendation results 103
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph 102
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering 101
A General Architecture for a Trustworthy Creditworthiness-Assessment Platform in the Financial Domain 101
Knowledge Graph Datasets for Recommendation 101
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs 100
Development and testing of an artificial intelligence tool for predicting end-stage kidney disease in patients with immunoglobulin A nephropathy 97
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs 96
Prioritized Multi-Criteria Federated Learning 94
Semantic Interpretation of Top-N Recommendations 91
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization 91
Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs 90
How to put users in control of their data in federated top-N recommendation with learning to rank 90
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries 90
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering 89
Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy 88
How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs 88
Local popularity and time in top-N recommendation 88
Moving from item rating to features relevance in top-N recommendation 88
Artificial intelligence in glomerular diseases 86
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs 86
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2023) 85
Sparse embeddings for recommender systems with knowledge graphs 85
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings 82
Pursuing Privacy in Recommender Systems: the Viewof Users and Researchers from Regulations to Applications 82
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS) 81
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis 78
User-controlled federated matrix factorization for recommender systems 78
Semantic Interpretation of BERT embeddings with Knowledge Graphs 77
The importance of being dissimilar in Recommendation 77
Semantic interpretability of latent factors for recommendation 77
Interpretability of BERT Latent Space through Knowledge Graphs 75
Federated recommender systems with learning to rank 75
Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS) 74
PRONTO: Prompt-Based Detection of Semantic Containment Patterns in MLMs 74
Counterfactual Reasoning for Responsible AI Assessment 73
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework 72
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews 71
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2022) 71
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS) 70
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness 70
Counterfactual Reasoning for Decision Model Fairness Assessment 69
How to perform reproducible experiments in the ELLIOT recommendation framework: Data processing, model selection, and performance evaluation 69
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives 66
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives 62
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective 62
Trustworthy User Modeling and Recommendation from Technical and Regulatory Perspectives 60
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation 59
Training-free, Identity-preserving Image Editing for Fashion Pose Alignment and Normalization 59
Post-hoc analysis of a tool to predict kidney failure in patients with IgA nephropathy 56
Third knowledge-aware and conversational recommender systems workshop (KaRS) 56
V-Elliot: Design, evaluate and tune visual recommender systems 54
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting 51
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models 48
Prediction of chronic kidney disease and its progression by artificial intelligence algorithms 47
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art 47
Using Ontology-based Data Summarization to Develop Semantics-aware Recommender Systems 44
LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing 41
Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs 30
Balancing Accuracy and Novelty with Sub-Item Popularity 26
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M 22
Adaptive User Modeling in Visual Merchandising: Balancing Brand Identity with Operational Efficiency 22
Content-Based or Collaborative Insights from Inter-List Similarity Analysis of ChatGPT Recommendations 22
Exposing open street map in the linked data cloud 21
Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender Systems 20
Beyond Words: Can ChatGPT support state-of-the-art Recommender Systems? 12
Totale 8.756
Categoria #
all - tutte 36.063
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 36.063


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021202 0 0 0 0 0 28 13 37 13 45 9 57
2021/2022750 59 10 32 93 74 2 23 23 63 135 64 172
2022/2023948 72 50 29 61 113 52 7 55 416 48 29 16
2023/2024799 66 24 28 27 209 170 28 29 72 10 3 133
2024/20251.966 40 19 206 5 87 56 161 153 365 179 480 215
2025/20263.698 196 767 688 1.133 622 292 0 0 0 0 0 0
Totale 8.756