POLITECNICO DI BARI - Catalogo dei prodotti della Ricerca

Merra, Felice Antonio
 Distribuzione geografica
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Continente #
EU - Europa 507
NA - Nord America 422
AS - Asia 113
OC - Oceania 1
SA - Sud America 1
Totale 1.044
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Nazione #
US - Stati Uniti d'America 420
IE - Irlanda 146
IT - Italia 116
SE - Svezia 46
BG - Bulgaria 44
HK - Hong Kong 44
DE - Germania 40
FI - Finlandia 33
PL - Polonia 28
CN - Cina 25
NL - Olanda 25
VN - Vietnam 18
MY - Malesia 12
UA - Ucraina 11
SG - Singapore 10
ES - Italia 6
FR - Francia 4
RU - Federazione Russa 4
GB - Regno Unito 3
CA - Canada 2
IL - Israele 2
AR - Argentina 1
AU - Australia 1
BD - Bangladesh 1
BE - Belgio 1
PH - Filippine 1
Totale 1.044
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Città #
Dublin 144
Chandler 83
New York 58
Sofia 44
Hong Kong 43
Bari 32
Helsinki 31
Jacksonville 29
Warsaw 28
Malden 24
Ashburn 18
Bremen 18
Ogden 16
Dong Ket 14
San Mateo 14
Brielle 12
Lawrence 12
Boardman 9
Wilmington 9
Altamura 8
Singapore 8
Amsterdam 6
Brooklyn 6
Chicago 6
Madrid 6
Poggibonsi 6
Miami 5
Shanghai 5
Cagliari 4
Dronten 4
Hanoi 4
San Francisco 4
Guangzhou 3
Locorotondo 3
Meppel 3
Messina 3
Rome 3
Treviso 3
Berlin 2
Colle 2
Hanover 2
Lappeenranta 2
Noicattaro 2
Seattle 2
Shenzhen 2
Washington 2
Atlanta 1
Brindisi 1
Burlington 1
Cebu City 1
Changsha 1
Charleston 1
Des Moines 1
Dhaka 1
Fairfield 1
Falkenstein 1
Frankfurt am Main 1
Halle 1
Hangzhou 1
Jinhua 1
Laterza 1
Le Havre 1
Melbourne 1
Molfetta 1
Nanjing 1
Nuremberg 1
Palermo 1
Pontirolo Nuovo 1
Portland 1
Potenza 1
Redmond 1
Río Cuarto 1
San Severo 1
Toronto 1
Trani 1
Vedelago 1
Visciano 1
Wuhan 1
Yurovka 1
Totale 777
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Nome #
Adversarial Machine Learning in Recommender Systems 155
Assessing the impact of a user-item collaborative attack on class of users 91
A Survey on Adversarial Recommender Systems: From Attack/Defense Strategies to Generative Adversarial Networks 72
Adversarial machine learning in recommender systems (AML-RECSYS) 64
TAaMR: Targeted Adversarial Attack against Multimedia Recommender Systems 63
Assessing perceptual and recommendation mutation of adversarially-poisoned visual recommenders 59
How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models 59
SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs 57
Adversarial Learning for Recommendation: Applications for Security and Generative Tasks — Concept to Code 56
A Study of Defensive Methods to Protect Visual Recommendation against Adversarial Manipulation of Images 56
Knowledge-enhanced Shilling Attacks for Recommendation 51
Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation 46
A regression framework to interpret the robustness of recommender systems against shilling attacks 34
Denoise to Protect: A Method to Robustify Visual Recommenders from Adversaries 34
A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders 33
Leveraging Content-Style Item Representation for Visual Recommendation 32
A Study on the Relative Importance of Convolutional Neural Networks in Visually-Aware Recommender Systems 31
MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings 27
Adversarial Recommender Systems: Attack, Defense, and Advances 26
V-Elliot: Design, evaluate and tune visual recommender systems 11
The Challenging Reproducibility Task in Recommender Systems Research between Traditional and Deep Learning Models 9
How to perform reproducible experiments in the ELLIOT recommendation framework: Data processing, model selection, and performance evaluation 9
Totale 1.075
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Categoria #
all - tutte 5.139
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 5.139
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2019/20207 0 0 0 0 0 0 0 0 0 0 5 2
2020/202198 4 2 6 10 4 6 12 13 5 13 0 23
2021/2022298 5 4 7 31 19 22 21 10 32 72 19 56
2022/2023405 26 1 17 18 52 28 0 27 189 31 11 5
2023/2024260 20 10 6 11 62 71 2 11 21 5 1 40
2024/20257 7 0 0 0 0 0 0 0 0 0 0 0
Totale 1.075