CNR Institutional Research Information System

FOLINO, FRANCESCO PAOLO
 Distribuzione geografica
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Continente #
AS - Asia 1.810
NA - Nord America 1.622
EU - Europa 644
SA - Sud America 385
Continente sconosciuto - Info sul continente non disponibili 181
AF - Africa 38
OC - Oceania 2
Totale 4.682
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Nazione #
US - Stati Uniti d'America 1.530
SG - Singapore 756
CN - Cina 419
BR - Brasile 285
IT - Italia 256
VN - Vietnam 184
HK - Hong Kong 180
FR - Francia 106
KR - Corea 73
DE - Germania 61
NL - Olanda 56
JP - Giappone 39
CA - Canada 38
GB - Regno Unito 35
IN - India 32
AR - Argentina 25
BD - Bangladesh 22
EC - Ecuador 22
AT - Austria 18
ES - Italia 17
CO - Colombia 16
IQ - Iraq 15
ZA - Sudafrica 13
FI - Finlandia 12
ID - Indonesia 12
BE - Belgio 11
IL - Israele 11
JM - Giamaica 11
MX - Messico 11
CR - Costa Rica 10
TR - Turchia 10
MA - Marocco 9
UA - Ucraina 9
VE - Venezuela 9
CL - Cile 8
LT - Lituania 8
PK - Pakistan 8
RU - Federazione Russa 8
UZ - Uzbekistan 8
KE - Kenya 7
PL - Polonia 7
PY - Paraguay 7
SE - Svezia 7
HN - Honduras 5
PE - Perù 5
UY - Uruguay 5
AL - Albania 4
AZ - Azerbaigian 4
IE - Irlanda 4
PH - Filippine 4
SA - Arabia Saudita 4
TH - Thailandia 4
AE - Emirati Arabi Uniti 3
BY - Bielorussia 3
EG - Egitto 3
GT - Guatemala 3
KG - Kirghizistan 3
KW - Kuwait 3
MY - Malesia 3
NI - Nicaragua 3
PT - Portogallo 3
RS - Serbia 3
SV - El Salvador 3
AU - Australia 2
BH - Bahrain 2
BO - Bolivia 2
CH - Svizzera 2
DM - Dominica 2
GR - Grecia 2
HU - Ungheria 2
KZ - Kazakistan 2
LV - Lettonia 2
NP - Nepal 2
PA - Panama 2
SY - Repubblica araba siriana 2
TN - Tunisia 2
AO - Angola 1
BB - Barbados 1
BN - Brunei Darussalam 1
BS - Bahamas 1
CZ - Repubblica Ceca 1
DO - Repubblica Dominicana 1
EE - Estonia 1
GA - Gabon 1
GE - Georgia 1
GY - Guiana 1
HR - Croazia 1
IR - Iran 1
LB - Libano 1
LU - Lussemburgo 1
MU - Mauritius 1
NO - Norvegia 1
RO - Romania 1
SI - Slovenia 1
SK - Slovacchia (Repubblica Slovacca) 1
SN - Senegal 1
TT - Trinidad e Tobago 1
TW - Taiwan 1
Totale 4.501
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Città #
Singapore 453
Santa Clara 412
San Jose 258
Hong Kong 175
Hefei 129
Ashburn 104
Beijing 99
Lauterbourg 83
Seoul 73
Ho Chi Minh City 64
Los Angeles 60
Dallas 50
Hanoi 49
Rende 39
New York 32
Rome 29
Tokyo 26
Florence 25
São Paulo 23
Nuremberg 21
Milan 19
Brooklyn 18
Guangzhou 17
Frankfurt am Main 15
Buffalo 13
Council Bluffs 13
Orem 12
Helsinki 11
Phoenix 11
Cosenza 10
Houston 10
Bari 9
Belo Horizonte 9
Brussels 9
Catania 9
Chicago 9
Quito 9
Atlanta 8
Boardman 8
Boston 8
Minamishinagawa 8
Montreal 8
Amsterdam 7
Bayreuth 7
Curitiba 7
Hải Dương 7
Manchester 7
Miami 7
Richmond 7
San Francisco 7
Stockholm 7
Tashkent 7
Warsaw 7
Casablanca 6
Denver 6
Guayaquil 6
Johannesburg 6
Kingston 6
London 6
Nairobi 6
Naples 6
Pietrafitta 6
Rio de Janeiro 6
San José 6
Springfield 6
Vienna 6
Biên Hòa 5
Bogotá 5
Bologna 5
Dhaka 5
Guarulhos 5
Haiphong 5
Ottawa 5
Philadelphia 5
Salvador 5
Shanghai 5
The Dalles 5
Toronto 5
Asunción 4
Cape Town 4
Chennai 4
Da Nang 4
Dublin 4
Düsseldorf 4
Eindhoven 4
Elk Grove Village 4
Fort Worth 4
Gioiosa Ionica 4
Kansas City 4
Lima 4
Memphis 4
Mexico City 4
Montevideo 4
New Delhi 4
Recife 4
San Antonio 4
Santa Maria 4
Seattle 4
Vélez-Málaga 4
Alkmaar 3
Totale 2.749
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Nome #
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models 114
Linee guida per il cloud in sanità 110
Il Fascicolo Sanitario Elettronico - Infrastruttura tecnologica e codifica dei dati - L'identita' federata 100
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data 90
The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding 88
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain 83
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs 78
Data- & compute-efficient deviance mining via active learning and fast ensembles 78
Experimenting and assessing a probabilistic business process deviance mining framework based on ensemble learning 76
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery 74
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 74
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques 71
Business process deviance mining 70
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks 69
Transparent Models in Healthcare: Enhancing Decision Support through Explainability 68
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery 66
Generating the traces you need: a conditional generative model for Process Mining data 65
Methods and techniques for discovering taxonomies of behavioral process models 63
A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes 63
An ensemble-based approach to the security-oriented classification of low-level log traces 63
A ROBUST AND VERSATILE MULTI-VIEW LEARNING FRAMEWORK FOR THE DETECTION OF DEVIANT BUSINESS PROCESS INSTANCES 63
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders 62
Exploiting Temporal Convolution for Activity Prediction in Process Analytics 57
Deviance-Aware Discovery of High-Quality Process Models 57
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion 57
Generating multiperspective process traces using conditional variational autoencoders 56
On learning effective ensembles of deep neural networks for intrusion detection 54
Linee guida per il Cloud in Sanità: Modelli, servizi e infrastruttura per il Fascicolo Sanitario Elettronico 54
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 54
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 53
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances 52
An Adaptative System for on-line Bank Services based on Web Mining 51
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 51
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events 50
Toward trustworthy and sustainable clinical decision support by training ensembles of specialized logistic regressors 50
A framework for the discovery of predictive fix-time models 49
L'infrastruttura tecnologica del Fascicolo Sanitario Elettronico 49
A data-adaptive trace abstraction approach to the prediction of business process performances 47
A peer-to-peer architecture for detecting attacks from network traffic and log data 47
A p2p environment to validate ensemble-based approaches in the cybersecurity domain 46
Context-aware predictions on business processes: An ensemble-based solution 45
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-Structured Business Processes 44
Generative Adversarial Networks for Temporally-Marked Event Sequences 44
ACQUISIZIONE E SINTESI KNOW-HOW TECNOLOGICO - Componente Adaptive Graphical Interface (AGI) Progetto di Ricerca PON M.ENTE: Management of Integrated Enterprice 44
A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances 44
An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks 44
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 43
An Approach to the Discovery of Accurate and Expressive Fix-time Prediction Models 43
A Cloud-based Prediction Framework for Analyzing Business Process Performances 42
Discovering expressive process models from noised log data 41
Deviance-aware Discovery of High Quality Process Models 41
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 39
Combining model- and example-driven classification to detect security breaches in activity-unaware logs 39
Boosting Text Segmentation via Progressive Classification 39
Hierarchical Model-Based Co-Clustering of High-Dimensional Data 38
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. 38
A recommendation engine for disease prediction 37
A Comorbidity-based Recommendation Engine for Disease Prediction 37
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data 36
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-Learning Framework for Detecting Deviances in Business Process Instances 35
Knowledge Discovery and Classification of Cooperation Processes for Internetworked Enterprises 35
Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs 35
Discovering Context-Aware Models for Predicting Business Process Performances 34
An Incremental Clustering Scheme for Duplicate Detection in Large Database 34
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes 34
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks 34
A Multi-view Multi-dimensional Ensemble Learning Approach to Mining Business Process Deviances 34
Discovering High-Level Performance Models for Ticket Resolution Processes 34
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators 33
Effective Incremental Clustering for Duplicate Detection in Large Databases 33
Putting Enhanced Hypermedia Personalization into Practice via Web Mining 33
A Multi-view Learning Approach to the Discovery of Deviant Process Instances 33
Hierarchical Model-Based Co-Clustering of High-Dimensional Data 33
Multi-Channel Personalization for Internet Banking 33
Discovering Multi-perspective Process Models 33
Knowledge Discovery and Classification of Cooperation Processes for Internetworked Enterprises 32
Effective Analysis of Flexible Collaboration Processes by way of Abstraction and Mining Techniques 32
Mining multi-variant process models from low-level logs 32
DynamicNet: An effective and efficient algorithm for supporting community evolution detection in time-evolving information networks 31
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events 31
Mining predictive process models out of low-level multidimensional logs 31
Multiobjective evolutionary community detection for dynamic networks 31
Mining multi-variant process models from low-level logs 30
An Incremental Clustering Scheme for Duplicate Detection in Large Database 30
An Ensemble-based p2p Framework for the Detection of Deviant Business Process Instances 30
RecBoost: A Supervised Approach to Schema Reconciliation 30
Multi-scenario Analysis and Prediction of Business Processes 30
Adaptive trace abstraction approach for predicting business process performances 29
A Descriptive Clustering Approach to the Analysis of Quantitative Business-Process Deviances 28
RecBoost: A Supervised Approach to Automatic Text Segmentation 28
Link Prediction Approaches for Disease Networks 27
Combining Markov Models and Association Analysis for Disease Prediction 26
Community evolution detection in time-evolving information networks 26
Effective Incremental Clustering for Duplicate Detection in Large Databases 25
Sustainable hybrid text classification: Enhancing encoder-only language models with NLI-derived pseudo-examples 24
Scalable parallel co-clustering over multiple heterogeneous data types 24
Methods and Techniques for Discovering Taxonomies of Behavioral Process Models 24
Context-Aware Prediction on Business Process Executions 24
Seeing the invisible: Detection of stealth DoS attacks using variational U-Net-like models 23
A Comorbidity Network Approach to Predict Disease Risk 22
Totale 4.640
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Categoria #
all - tutte 15.818
article - articoli 3.712
book - libri 477
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 1.743
Totale 21.750
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2023/202454 0 0 0 0 0 0 0 0 7 12 32 3
2024/20251.718 15 13 184 45 394 47 91 82 60 60 387 340
2025/20262.275 149 196 243 333 388 92 325 129 158 114 89 59
2026/2027635 184 77 374 0 0 0 0 0 0 0 0 0
Totale 4.682