CNR Institutional Research Information System

FOLINO, FRANCESCO PAOLO
 Distribuzione geografica
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Continente #
AS - Asia 1.786
NA - Nord America 1.073
EU - Europa 565
SA - Sud America 345
AF - Africa 37
OC - Oceania 2
Totale 3.808
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Nazione #
US - Stati Uniti d'America 1.027
SG - Singapore 753
CN - Cina 419
BR - Brasile 279
IT - Italia 204
HK - Hong Kong 179
VN - Vietnam 179
FR - Francia 104
KR - Corea 73
DE - Germania 59
NL - Olanda 54
JP - Giappone 39
IN - India 32
GB - Regno Unito 29
CA - Canada 24
AR - Argentina 22
AT - Austria 16
BD - Bangladesh 15
IQ - Iraq 15
EC - Ecuador 12
ES - Italia 12
FI - Finlandia 12
ZA - Sudafrica 12
ID - Indonesia 11
IL - Israele 11
MX - Messico 11
TR - Turchia 10
BE - Belgio 9
MA - Marocco 9
LT - Lituania 8
PK - Pakistan 8
RU - Federazione Russa 8
UA - Ucraina 8
UZ - Uzbekistan 8
KE - Kenya 7
PL - Polonia 7
PY - Paraguay 7
SE - Svezia 7
CL - Cile 6
PE - Perù 5
VE - Venezuela 5
AL - Albania 4
AZ - Azerbaigian 4
CO - Colombia 4
SA - Arabia Saudita 4
AE - Emirati Arabi Uniti 3
BY - Bielorussia 3
EG - Egitto 3
IE - Irlanda 3
PT - Portogallo 3
TH - Thailandia 3
UY - Uruguay 3
AU - Australia 2
BH - Bahrain 2
CR - Costa Rica 2
DM - Dominica 2
GR - Grecia 2
HN - Honduras 2
HU - Ungheria 2
KG - Kirghizistan 2
KZ - Kazakistan 2
MY - Malesia 2
NP - Nepal 2
PH - Filippine 2
RS - Serbia 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
GY - Guiana 1
HR - Croazia 1
IR - Iran 1
JM - Giamaica 1
KW - Kuwait 1
LB - Libano 1
LU - Lussemburgo 1
LV - Lettonia 1
MU - Mauritius 1
NO - Norvegia 1
RO - Romania 1
SI - Slovenia 1
SK - Slovacchia (Repubblica Slovacca) 1
SN - Senegal 1
SV - El Salvador 1
TT - Trinidad e Tobago 1
TW - Taiwan 1
Totale 3.808
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Città #
Singapore 451
Santa Clara 406
Hong Kong 174
Hefei 129
Beijing 99
San Jose 95
Lauterbourg 83
Ashburn 74
Seoul 73
Ho Chi Minh City 63
Los Angeles 57
Dallas 45
Hanoi 45
Rende 35
New York 31
Tokyo 26
Rome 25
São Paulo 22
Nuremberg 21
Florence 20
Guangzhou 17
Frankfurt am Main 15
Orem 12
Buffalo 11
Helsinki 11
Brooklyn 10
Cosenza 10
Belo Horizonte 9
Brussels 9
Catania 9
Council Bluffs 9
Milan 8
Minamishinagawa 8
Amsterdam 7
Bayreuth 7
Curitiba 7
Houston 7
Hải Dương 7
Manchester 7
Stockholm 7
Tashkent 7
Warsaw 7
Boston 6
Casablanca 6
Johannesburg 6
London 6
Montreal 6
Nairobi 6
Pietrafitta 6
Rio de Janeiro 6
San Francisco 6
Vienna 6
Bari 5
Biên Hòa 5
Boardman 5
Guarulhos 5
Guayaquil 5
Haiphong 5
Ottawa 5
Phoenix 5
Salvador 5
Shanghai 5
Asunción 4
Atlanta 4
Bologna 4
Cape Town 4
Chennai 4
Chicago 4
Da Nang 4
Dhaka 4
Düsseldorf 4
Eindhoven 4
Elk Grove Village 4
Gioiosa Ionica 4
Lima 4
Mexico City 4
Naples 4
New Delhi 4
Recife 4
Santa Maria 4
Seattle 4
Toronto 4
Alkmaar 3
Baghdad 3
Baku 3
Bengaluru 3
Can Tho 3
Caxias do Sul 3
Denver 3
Dublin 3
Feira de Santana 3
Fort Worth 3
Hackney 3
Hòa Bình 3
Itabira 3
Lisbon 3
Mainz 3
Minsk 3
Modugno 3
Mogi das Cruzes 3
Totale 2.419
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Nome #
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models 98
Il Fascicolo Sanitario Elettronico - Infrastruttura tecnologica e codifica dei dati - L'identita' federata 91
Linee guida per il cloud in sanità 90
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data 77
Experimenting and assessing a probabilistic business process deviance mining framework based on ensemble learning 75
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain 74
The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding 72
Data- & compute-efficient deviance mining via active learning and fast ensembles 71
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs 70
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery 68
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 68
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques 65
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks 64
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 57
Generating the traces you need: a conditional generative model for Process Mining data 57
Business process deviance mining 56
A ROBUST AND VERSATILE MULTI-VIEW LEARNING FRAMEWORK FOR THE DETECTION OF DEVIANT BUSINESS PROCESS INSTANCES 55
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery 53
Deviance-Aware Discovery of High-Quality Process Models 51
An Adaptative System for on-line Bank Services based on Web Mining 50
Generating multiperspective process traces using conditional variational autoencoders 50
Exploiting Temporal Convolution for Activity Prediction in Process Analytics 50
On learning effective ensembles of deep neural networks for intrusion detection 49
Transparent Models in Healthcare: Enhancing Decision Support through Explainability 48
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion 48
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders 47
Linee guida per il Cloud in Sanità: Modelli, servizi e infrastruttura per il Fascicolo Sanitario Elettronico 47
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 45
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events 44
Toward trustworthy and sustainable clinical decision support by training ensembles of specialized logistic regressors 43
A data-adaptive trace abstraction approach to the prediction of business process performances 41
Context-aware predictions on business processes: An ensemble-based solution 41
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-Structured Business Processes 40
A p2p environment to validate ensemble-based approaches in the cybersecurity domain 40
A peer-to-peer architecture for detecting attacks from network traffic and log data 40
Generative Adversarial Networks for Temporally-Marked Event Sequences 39
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 39
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 39
ACQUISIZIONE E SINTESI KNOW-HOW TECNOLOGICO - Componente Adaptive Graphical Interface (AGI) Progetto di Ricerca PON M.ENTE: Management of Integrated Enterprice 39
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances 39
A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances 38
Discovering expressive process models from noised log data 37
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 37
An Approach to the Discovery of Accurate and Expressive Fix-time Prediction Models 37
A framework for the discovery of predictive fix-time models 36
A Cloud-based Prediction Framework for Analyzing Business Process Performances 35
Deviance-aware Discovery of High Quality Process Models 35
Combining model- and example-driven classification to detect security breaches in activity-unaware logs 35
An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks 34
Boosting Text Segmentation via Progressive Classification 34
Hierarchical Model-Based Co-Clustering of High-Dimensional Data 33
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes 32
A recommendation engine for disease prediction 32
L'infrastruttura tecnologica del Fascicolo Sanitario Elettronico 32
A Comorbidity-based Recommendation Engine for Disease Prediction 32
Discovering Context-Aware Models for Predicting Business Process Performances 31
Hierarchical Model-Based Co-Clustering of High-Dimensional Data 30
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data 30
An Incremental Clustering Scheme for Duplicate Detection in Large Database 29
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-Learning Framework for Detecting Deviances in Business Process Instances 29
Knowledge Discovery and Classification of Cooperation Processes for Internetworked Enterprises 29
A Multi-view Learning Approach to the Discovery of Deviant Process Instances 29
Mining multi-variant process models from low-level logs 29
Mining multi-variant process models from low-level logs 28
Effective Analysis of Flexible Collaboration Processes by way of Abstraction and Mining Techniques 28
A Multi-view Multi-dimensional Ensemble Learning Approach to Mining Business Process Deviances 28
RecBoost: A Supervised Approach to Schema Reconciliation 28
Multi-Channel Personalization for Internet Banking 28
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators 27
Putting Enhanced Hypermedia Personalization into Practice via Web Mining 27
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks 27
Discovering High-Level Performance Models for Ticket Resolution Processes 27
Discovering Multi-perspective Process Models 27
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. 27
Multiobjective evolutionary community detection for dynamic networks 27
An Incremental Clustering Scheme for Duplicate Detection in Large Database 26
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 26
Knowledge Discovery and Classification of Cooperation Processes for Internetworked Enterprises 26
DynamicNet: An effective and efficient algorithm for supporting community evolution detection in time-evolving information networks 26
Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs 26
RecBoost: A Supervised Approach to Automatic Text Segmentation 26
Mining predictive process models out of low-level multidimensional logs 26
A Descriptive Clustering Approach to the Analysis of Quantitative Business-Process Deviances 25
An Ensemble-based p2p Framework for the Detection of Deviant Business Process Instances 25
Multi-scenario Analysis and Prediction of Business Processes 25
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events 25
Effective Incremental Clustering for Duplicate Detection in Large Databases 24
Community evolution detection in time-evolving information networks 24
Effective Incremental Clustering for Duplicate Detection in Large Databases 23
Adaptive trace abstraction approach for predicting business process performances 22
Combining Markov Models and Association Analysis for Disease Prediction 21
Methods and Techniques for Discovering Taxonomies of Behavioral Process Models 21
Scalable parallel co-clustering over multiple heterogeneous data types 20
Link Prediction Approaches for Disease Networks 20
A Comorbidity Network Approach to Predict Disease Risk 20
Context-Aware Prediction on Business Process Executions 19
Seeing the invisible: Detection of stealth DoS attacks using variational U-Net-like models 18
null 18
Totale 3.968
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Categoria #
all - tutte 12.752
article - articoli 2.976
book - libri 387
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 1.405
Totale 17.520
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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
2025/20262.211 149 196 243 333 388 92 325 129 158 114 84 0
Totale 3.983