CNR Institutional Research Information System

FOLINO, FRANCESCO PAOLO
 Distribuzione geografica
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Continente #
AS - Asia 1.790
NA - Nord America 1.205
EU - Europa 597
SA - Sud America 352
AF - Africa 37
OC - Oceania 2
Totale 3.983
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Nazione #
US - Stati Uniti d'America 1.142
SG - Singapore 754
CN - Cina 419
BR - Brasile 280
IT - Italia 227
HK - Hong Kong 179
VN - Vietnam 179
FR - Francia 105
KR - Corea 73
DE - Germania 59
NL - Olanda 55
JP - Giappone 39
IN - India 32
GB - Regno Unito 29
CA - Canada 27
AR - Argentina 23
BD - Bangladesh 18
AT - Austria 16
ES - Italia 16
IQ - Iraq 15
EC - Ecuador 13
FI - Finlandia 12
ZA - Sudafrica 12
ID - Indonesia 11
IL - Israele 11
MX - Messico 11
BE - Belgio 10
TR - Turchia 10
MA - Marocco 9
LT - Lituania 8
PK - Pakistan 8
RU - Federazione Russa 8
UA - Ucraina 8
UZ - Uzbekistan 8
CL - Cile 7
KE - Kenya 7
PL - Polonia 7
PY - Paraguay 7
SE - Svezia 7
CR - Costa Rica 6
JM - Giamaica 6
VE - Venezuela 6
PE - Perù 5
UY - Uruguay 5
AL - Albania 4
AZ - Azerbaigian 4
CO - Colombia 4
IE - Irlanda 4
SA - Arabia Saudita 4
AE - Emirati Arabi Uniti 3
BY - Bielorussia 3
EG - Egitto 3
NI - Nicaragua 3
PT - Portogallo 3
TH - Thailandia 3
AU - Australia 2
BH - Bahrain 2
DM - Dominica 2
GR - Grecia 2
HN - Honduras 2
HU - Ungheria 2
KG - Kirghizistan 2
KZ - Kazakistan 2
LV - Lettonia 2
MY - Malesia 2
NP - Nepal 2
PH - Filippine 2
RS - Serbia 2
SV - El Salvador 2
SY - Repubblica araba siriana 2
TN - Tunisia 2
AO - Angola 1
BB - Barbados 1
BN - Brunei Darussalam 1
BO - Bolivia 1
CH - Svizzera 1
CZ - Repubblica Ceca 1
DO - Repubblica Dominicana 1
GA - Gabon 1
GE - Georgia 1
GT - Guatemala 1
GY - Guiana 1
HR - Croazia 1
IR - Iran 1
KW - Kuwait 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 3.983
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Città #
Singapore 452
Santa Clara 406
Hong Kong 174
Hefei 129
Beijing 99
San Jose 96
Ashburn 93
Lauterbourg 83
Seoul 73
Ho Chi Minh City 63
Los Angeles 59
Dallas 47
Hanoi 45
Rende 35
New York 32
Rome 26
Tokyo 26
Florence 25
São Paulo 22
Nuremberg 21
Guangzhou 17
Frankfurt am Main 15
Brooklyn 14
Milan 14
Buffalo 12
Orem 12
Helsinki 11
Cosenza 10
Belo Horizonte 9
Brussels 9
Catania 9
Council Bluffs 9
Phoenix 9
Minamishinagawa 8
Amsterdam 7
Bayreuth 7
Boardman 7
Curitiba 7
Houston 7
Hải Dương 7
Manchester 7
Stockholm 7
Tashkent 7
Warsaw 7
Atlanta 6
Bari 6
Boston 6
Casablanca 6
Johannesburg 6
London 6
Montreal 6
Nairobi 6
Pietrafitta 6
Rio de Janeiro 6
San Francisco 6
Vienna 6
Biên Hòa 5
Bologna 5
Denver 5
Guarulhos 5
Guayaquil 5
Haiphong 5
Naples 5
Ottawa 5
Salvador 5
Shanghai 5
Springfield 5
Asunción 4
Cape Town 4
Chennai 4
Chicago 4
Da Nang 4
Dhaka 4
Dublin 4
Düsseldorf 4
Eindhoven 4
Elk Grove Village 4
Gioiosa Ionica 4
Lima 4
Mexico City 4
Montevideo 4
New Delhi 4
Quito 4
Recife 4
Richmond 4
Santa Maria 4
Seattle 4
Toronto 4
Vélez-Málaga 4
Alkmaar 3
Baghdad 3
Baku 3
Bengaluru 3
Can Tho 3
Caxias do Sul 3
Feira de Santana 3
Fort Worth 3
Freeport 3
Hackney 3
Hòa Bình 3
Totale 2.482
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Nome #
Linee guida per il cloud in sanità 103
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models 99
Il Fascicolo Sanitario Elettronico - Infrastruttura tecnologica e codifica dei dati - L'identita' federata 97
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data 79
The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding 76
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain 76
Experimenting and assessing a probabilistic business process deviance mining framework based on ensemble learning 75
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs 72
Data- & compute-efficient deviance mining via active learning and fast ensembles 71
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 71
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery 70
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks 67
Business process deviance mining 66
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques 65
Methods and techniques for discovering taxonomies of behavioral process models 61
A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes 61
An ensemble-based approach to the security-oriented classification of low-level log traces 58
Generating the traces you need: a conditional generative model for Process Mining data 58
A ROBUST AND VERSATILE MULTI-VIEW LEARNING FRAMEWORK FOR THE DETECTION OF DEVIANT BUSINESS PROCESS INSTANCES 57
Transparent Models in Healthcare: Enhancing Decision Support through Explainability 54
Exploiting Temporal Convolution for Activity Prediction in Process Analytics 53
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery 53
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion 52
Deviance-Aware Discovery of High-Quality Process Models 51
An Adaptative System for on-line Bank Services based on Web Mining 50
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders 50
Generating multiperspective process traces using conditional variational autoencoders 50
On learning effective ensembles of deep neural networks for intrusion detection 50
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 50
Linee guida per il Cloud in Sanità: Modelli, servizi e infrastruttura per il Fascicolo Sanitario Elettronico 47
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events 45
Toward trustworthy and sustainable clinical decision support by training ensembles of specialized logistic regressors 45
Context-aware predictions on business processes: An ensemble-based solution 44
A data-adaptive trace abstraction approach to the prediction of business process performances 43
Generative Adversarial Networks for Temporally-Marked Event Sequences 43
A p2p environment to validate ensemble-based approaches in the cybersecurity domain 43
A peer-to-peer architecture for detecting attacks from network traffic and log data 42
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-Structured Business Processes 41
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 41
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances 41
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 41
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 40
ACQUISIZIONE E SINTESI KNOW-HOW TECNOLOGICO - Componente Adaptive Graphical Interface (AGI) Progetto di Ricerca PON M.ENTE: Management of Integrated Enterprice 40
A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances 39
An Approach to the Discovery of Accurate and Expressive Fix-time Prediction Models 39
Discovering expressive process models from noised log data 37
L'infrastruttura tecnologica del Fascicolo Sanitario Elettronico 37
A framework for the discovery of predictive fix-time models 36
A Cloud-based Prediction Framework for Analyzing Business Process Performances 36
Combining model- and example-driven classification to detect security breaches in activity-unaware logs 36
An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks 36
Deviance-aware Discovery of High Quality Process Models 35
Hierarchical Model-Based Co-Clustering of High-Dimensional Data 35
A recommendation engine for disease prediction 34
Boosting Text Segmentation via Progressive Classification 34
A Multi-view Multi-dimensional Ensemble Learning Approach to Mining Business Process Deviances 33
Discovering Context-Aware Models for Predicting Business Process Performances 32
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes 32
Knowledge Discovery and Classification of Cooperation Processes for Internetworked Enterprises 32
A Comorbidity-based Recommendation Engine for Disease Prediction 32
An Incremental Clustering Scheme for Duplicate Detection in Large Database 31
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators 31
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-Learning Framework for Detecting Deviances in Business Process Instances 31
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data 31
Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs 30
Hierarchical Model-Based Co-Clustering of High-Dimensional Data 30
Multi-Channel Personalization for Internet Banking 30
Mining multi-variant process models from low-level logs 29
An Incremental Clustering Scheme for Duplicate Detection in Large Database 29
DynamicNet: An effective and efficient algorithm for supporting community evolution detection in time-evolving information networks 29
Effective Analysis of Flexible Collaboration Processes by way of Abstraction and Mining Techniques 29
A Multi-view Learning Approach to the Discovery of Deviant Process Instances 29
Mining multi-variant process models from low-level logs 29
Discovering Multi-perspective Process Models 29
Multiobjective evolutionary community detection for dynamic networks 29
Putting Enhanced Hypermedia Personalization into Practice via Web Mining 28
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks 28
Knowledge Discovery and Classification of Cooperation Processes for Internetworked Enterprises 28
RecBoost: A Supervised Approach to Schema Reconciliation 28
Discovering High-Level Performance Models for Ticket Resolution Processes 27
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. 27
Mining predictive process models out of low-level multidimensional logs 27
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 26
A Descriptive Clustering Approach to the Analysis of Quantitative Business-Process Deviances 26
RecBoost: A Supervised Approach to Automatic Text Segmentation 26
An Ensemble-based p2p Framework for the Detection of Deviant Business Process Instances 26
Multi-scenario Analysis and Prediction of Business Processes 25
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events 25
Adaptive trace abstraction approach for predicting business process performances 25
Effective Incremental Clustering for Duplicate Detection in Large Databases 24
Effective Incremental Clustering for Duplicate Detection in Large Databases 24
Community evolution detection in time-evolving information networks 24
Combining Markov Models and Association Analysis for Disease Prediction 23
Link Prediction Approaches for Disease Networks 22
Scalable parallel co-clustering over multiple heterogeneous data types 21
Methods and Techniques for Discovering Taxonomies of Behavioral Process Models 21
Context-Aware Prediction on Business Process Executions 20
A Comorbidity Network Approach to Predict Disease Risk 20
Seeing the invisible: Detection of stealth DoS attacks using variational U-Net-like models 19
null 18
Totale 4.140
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Categoria #
all - tutte 13.984
article - articoli 3.274
book - libri 425
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 1.544
Totale 19.227
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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
2026/2027111 111 0 0 0 0 0 0 0 0 0 0 0
Totale 4.158