Anelli, Vito Walter
 Distribuzione geografica
Continente #
EU - Europa 5.500
NA - Nord America 3.784
AS - Asia 2.897
SA - Sud America 777
AF - Africa 76
Continente sconosciuto - Info sul continente non disponibili 4
OC - Oceania 3
Totale 13.041
Nazione #
US - Stati Uniti d'America 3.672
RU - Federazione Russa 3.257
SG - Singapore 955
IT - Italia 712
CN - Cina 699
BR - Brasile 633
VN - Vietnam 373
IE - Irlanda 345
HK - Hong Kong 281
FR - Francia 169
KR - Corea 167
SE - Svezia 166
DE - Germania 162
BG - Bulgaria 122
JP - Giappone 119
FI - Finlandia 95
GB - Regno Unito 93
UA - Ucraina 92
PL - Polonia 87
NL - Olanda 84
AR - Argentina 69
CA - Canada 51
IN - India 51
TR - Turchia 46
BD - Bangladesh 41
MY - Malesia 39
MX - Messico 36
ZA - Sudafrica 33
ES - Italia 28
ID - Indonesia 27
AT - Austria 22
EC - Ecuador 20
BE - Belgio 18
MA - Marocco 17
IQ - Iraq 16
CO - Colombia 15
PY - Paraguay 12
LT - Lituania 11
AE - Emirati Arabi Uniti 10
CL - Cile 10
UZ - Uzbekistan 9
VE - Venezuela 9
AZ - Azerbaigian 8
EG - Egitto 8
IL - Israele 8
CH - Svizzera 7
JO - Giordania 7
CZ - Repubblica Ceca 6
PA - Panama 6
DZ - Algeria 5
JM - Giamaica 5
KE - Kenya 5
PH - Filippine 5
PK - Pakistan 5
SA - Arabia Saudita 5
AM - Armenia 4
DO - Repubblica Dominicana 4
TN - Tunisia 4
UY - Uruguay 4
BH - Bahrain 3
EU - Europa 3
KZ - Kazakistan 3
LV - Lettonia 3
RO - Romania 3
SK - Slovacchia (Repubblica Slovacca) 3
AL - Albania 2
AO - Angola 2
AU - Australia 2
BO - Bolivia 2
CR - Costa Rica 2
CY - Cipro 2
DK - Danimarca 2
GT - Guatemala 2
HU - Ungheria 2
KG - Kirghizistan 2
LK - Sri Lanka 2
NO - Norvegia 2
OM - Oman 2
PR - Porto Rico 2
RS - Serbia 2
TH - Thailandia 2
BB - Barbados 1
BY - Bielorussia 1
EE - Estonia 1
ET - Etiopia 1
GY - Guiana 1
KH - Cambogia 1
LA - Repubblica Popolare Democratica del Laos 1
LB - Libano 1
MD - Moldavia 1
MK - Macedonia 1
NI - Nicaragua 1
NP - Nepal 1
NZ - Nuova Zelanda 1
PE - Perù 1
PT - Portogallo 1
QA - Qatar 1
SN - Senegal 1
SR - Suriname 1
SV - El Salvador 1
Totale 13.038
Città #
Dallas 713
Moscow 670
Singapore 582
Dublin 343
Ashburn 292
Hong Kong 277
Chandler 249
Rome 198
New York 196
Hefei 178
Seoul 167
Bari 161
The Dalles 155
San Jose 137
Jacksonville 131
Sofia 122
Tokyo 118
Ho Chi Minh City 116
Boardman 106
Ann Arbor 101
Hanoi 98
Santa Clara 96
Kent 87
Los Angeles 83
Lauterbourg 82
Malden 82
Warsaw 81
Helsinki 77
São Paulo 66
Beijing 61
Conversano 58
Brooklyn 53
Ogden 47
Bremen 46
San Mateo 43
Lawrence 41
Orem 37
Brielle 36
Wilmington 34
Nanjing 33
Amsterdam 32
Hillsboro 31
London 26
Chennai 25
Munich 25
Dong Ket 23
Council Bluffs 21
Denver 21
Guangzhou 21
Izmir 21
Frankfurt am Main 20
Milan 18
Poplar 18
Pulsano 18
Rio de Janeiro 18
Brussels 17
Chicago 17
Johannesburg 17
Montreal 17
Toronto 17
Vienna 17
Assago 14
Manchester 13
San Francisco 13
Stockholm 13
Washington 13
Boston 12
Da Nang 12
Mexico City 12
Phoenix 12
Porto Alegre 12
Ankara 11
Columbus 11
Curitiba 11
Houston 11
Lappeenranta 11
Atlanta 10
Biên Hòa 10
Dhaka 10
Seattle 10
Wuhan 10
Altamura 9
Belo Horizonte 9
Düsseldorf 9
Shenyang 9
Tashkent 9
Foggia 8
Haiphong 8
Madrid 8
Santo André 8
Shanghai 8
Tianjin 8
Amman 7
Baku 7
Brasília 7
Campinas 7
Cape Town 7
Changsha 7
Jiaxing 7
Kyiv 7
Totale 7.073
Nome #
Knowledge-Enabled Recommender Systems in the Linked Data Era 290
LOSM: A SPARQL endpoint to query open street map 227
An analysis on time- & session-Aware diversification in recommender systems 220
A flexible framework for evaluating user and item fairness in recommender systems 219
Auto-encoding user ratings via knowledge graphs in recommendation scenarios 213
Querying Deep Web Data Sources as Linked Data 203
Exposing open street map in the linked data cloud 192
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks — Concept to Code 189
Auditing fairness under unawareness through counterfactual reasoning 187
Deep Learning-Based Adaptive Image Compression System for a Real-World Scenario 183
DIVAN: Deep-Interest Virality-Aware Network to Exploit Temporal Dynamics in News Recommendation 182
Anna: A Virtual Assistant to Interact with Puglia Digital Library 179
2nd Workshop on knowledge-aware and conversational recommender systems - KaRS 177
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders 175
A Study of Defensive Methods to Protect Visual Recommendation against Adversarial Manipulation of Images 174
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation 173
A General Architecture for a Trustworthy Creditworthiness-Assessment Platform in the Financial Domain 170
Recommender systems fairness evaluation via generalized cross entropy 170
Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering 169
Adversarial Recommender Systems: Attack, Defense, and Advances 168
Linking geographical data: the case of Open Street Map 168
Assessing perceptual and recommendation mutation of adversarially-poisoned visual recommenders 168
Addressing the user cold start with cross-domain collaborative filtering: exploiting item metadata in matrix factorization 166
Knowledge Graph Datasets for Recommendation 165
Addressing Privacy in Recommender Systems with Federated Learning 164
A Novel Evaluation Perspective on GNNs-based Recommender Systems through the Topology of the User-Item Graph 164
Efficient implementation of InSAR time-consuming algorithm kernels on GPU environment 164
On the role of time and sessions in diversifying recommendation results 159
FedeRank: User Controlled Feedback with Federated Recommender Systems 155
Combining RDF and SPARQL with CP-theories to reason about preferences in a Linked Data setting 154
Feature Factorization for top-n Recommendation: From item rating to features relevance 153
Knowledge-enhanced Shilling Attacks for Recommendation 153
An Out-of-the-Box Application for Reproducible Graph Collaborative Filtering extending the Elliot Framework 150
Knowledge-aware Interpretable Recommender Systems 150
Etytree: A Graphical and Interactive Etymology Dictionary based on Wiktionary 147
How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering 145
Towards Effective Device-Aware Federated Learning 144
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs 142
Inferring User Decision-Making Processes in Recommender Systems with Knowledge Graphs 140
Broadening the Scope: Evaluating the Potential of Recommender Systems beyond prioritizing Accuracy 139
KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge Graphs 138
Sparse Feature Factorization for Recommender Systems with Knowledge Graphs 138
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries 137
Semantic Interpretation of BERT embeddings with Knowledge Graphs 135
Training-free, Identity-preserving Image Editing for Fashion Pose Alignment and Normalization 134
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2023) 133
How to put users in control of their data in federated top-N recommendation with learning to rank 133
How to perform reproducible experiments in the ELLIOT recommendation framework: Data processing, model selection, and performance evaluation 132
Artificial intelligence in glomerular diseases 131
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS) 131
Knowledge-aware and conversational recommender systems 131
Federated recommender systems with learning to rank 129
On the discriminative power of hyper-parameters in cross-validation and how to choose them 128
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis 127
Counterfactual Reasoning for Responsible AI Assessment 124
PRONTO: Prompt-Based Detection of Semantic Containment Patterns in MLMs 123
Development and testing of an artificial intelligence tool for predicting end-stage kidney disease in patients with immunoglobulin A nephropathy 123
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings 122
Sparse embeddings for recommender systems with knowledge graphs 122
Interpretability of BERT Latent Space through Knowledge Graphs 120
Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization 119
Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS 2022) 118
Local popularity and time in top-N recommendation 117
Prioritized Multi-Criteria Federated Learning 117
Examining Fairness in Graph-Based Collaborative Filtering: A Consumer and Producer Perspective 117
Fifth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS) 116
Moving from item rating to features relevance in top-N recommendation 113
Sixth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS) 112
How to Make Latent Factors Interpretable by Feeding Factorization Machines with Knowledge Graphs 112
Pursuing Privacy in Recommender Systems: the Viewof Users and Researchers from Regulations to Applications 110
Semantic Interpretation of Top-N Recommendations 109
Reproducibility of Multi-Objective Reinforcement Learning Recommendation: Interplay between Effectiveness and Beyond-Accuracy Perspectives 108
Counterfactual Reasoning for Decision Model Fairness Assessment 107
Enhancing Sequential Music Recommendation with Personalized Popularity Awareness 106
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives 105
User-controlled federated matrix factorization for recommender systems 104
LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing 104
The importance of being dissimilar in Recommendation 103
V-Elliot: Design, evaluate and tune visual recommender systems 101
Reshaping Graph Recommendation with Edge Graph Collaborative Filtering and Customer Reviews 100
Trustworthy User Modeling and Recommendation from Technical and Regulatory Perspectives 99
Semantic interpretability of latent factors for recommendation 99
Third knowledge-aware and conversational recommender systems workshop (KaRS) 96
Are the Hidden States Hiding Something? Testing the Limits of Factuality-Encoding Capabilities in LLMs 96
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation 95
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art 88
Adaptive User Modeling in Visual Merchandising: Balancing Brand Identity with Operational Efficiency 86
Post-hoc analysis of a tool to predict kidney failure in patients with IgA nephropathy 80
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models 78
Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M 77
Balancing Accuracy and Novelty with Sub-Item Popularity 77
Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting 75
Prediction of chronic kidney disease and its progression by artificial intelligence algorithms 73
Using Ontology-based Data Summarization to Develop Semantics-aware Recommender Systems 70
Content-Based or Collaborative Insights from Inter-List Similarity Analysis of ChatGPT Recommendations 70
Beyond Words: Can ChatGPT support state-of-the-art Recommender Systems? 65
Exposing open street map in the linked data cloud 62
Legal but Unfair: Auditing the Impact of Data Minimization on Fairness and Accuracy Trade-off in Recommender Systems 62
Totale 13.187
Categoria #
all - tutte 42.903
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 42.903


Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2020/2021111 0 0 0 0 0 0 0 0 0 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
2025/20268.129 196 767 688 1.133 622 941 1.992 1.264 238 288 0 0
Totale 13.187