CNR Institutional Research Information System

FOLINO, FRANCESCO PAOLO
 Distribuzione geografica
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Continente #
NA - Nord America 478
AS - Asia 196
EU - Europa 164
SA - Sud America 3
Totale 841
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Nazione #
US - Stati Uniti d'America 471
SG - Singapore 157
IT - Italia 86
DE - Germania 23
CN - Cina 16
KR - Corea 11
NL - Olanda 10
BE - Belgio 9
FI - Finlandia 9
CA - Canada 7
LT - Lituania 6
AT - Austria 5
FR - Francia 3
GB - Regno Unito 3
BD - Bangladesh 2
BY - Bielorussia 2
GR - Grecia 2
IL - Israele 2
KG - Kirghizistan 2
AL - Albania 1
BR - Brasile 1
CL - Cile 1
CZ - Repubblica Ceca 1
ES - Italia 1
HK - Hong Kong 1
HR - Croazia 1
ID - Indonesia 1
IE - Irlanda 1
KZ - Kazakistan 1
LU - Lussemburgo 1
PE - Perù 1
PH - Filippine 1
TH - Thailandia 1
TW - Taiwan 1
Totale 841
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Città #
Santa Clara 398
Singapore 88
Rende 19
Guangzhou 11
Nuremberg 11
Rome 11
Seoul 11
Cosenza 10
Brussels 9
Helsinki 9
Catania 8
Pietrafitta 6
Boardman 5
Ottawa 5
Amsterdam 4
Ashburn 4
Frankfurt am Main 4
Gioiosa Ionica 4
Los Angeles 3
Mainz 3
Trieste 3
Vienna 3
Athens 2
Bishkek 2
Florence 2
Fort Worth 2
Genoa 2
Minsk 2
Phoenix 2
Springfield 2
Tel Aviv 2
Utrecht 2
Verona 2
West Jordan 2
Almaty 1
Bangkok 1
Bari 1
Beijing 1
Cascina 1
Catanzaro 1
Dhaka 1
Dublin 1
Forest City 1
Hennef (Sieg) 1
Hong Kong 1
Kaunas 1
Lamezia Terme 1
Lima 1
London 1
Luxembourg 1
Madrid 1
Manila 1
Munich 1
New York 1
Newark 1
Palermo 1
Prague 1
Reggio Calabria 1
Seattle 1
Serra San Bruno 1
Taipei 1
Tirana 1
Toronto 1
Votuporanga 1
Yogyakarta 1
Zagreb 1
Totale 685
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Nome #
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models 37
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery 31
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques 26
Data- & compute-efficient deviance mining via active learning and fast ensembles 25
Linee guida per il cloud in sanità 24
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs 23
An ensemble-based approach to the security-oriented classification of low-level log traces 23
On learning effective ensembles of deep neural networks for intrusion detection 23
Generating the traces you need: a conditional generative model for Process Mining data 22
Deviance-Aware Discovery of High-Quality Process Models 20
A ROBUST AND VERSATILE MULTI-VIEW LEARNING FRAMEWORK FOR THE DETECTION OF DEVIANT BUSINESS PROCESS INSTANCES 19
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion 19
Exploiting Temporal Convolution for Activity Prediction in Process Analytics 18
null 18
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data 17
A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes 15
A Cloud-based Prediction Framework for Analyzing Business Process Performances 15
A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances 15
A p2p environment to validate ensemble-based approaches in the cybersecurity domain 15
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery 15
Il Fascicolo Sanitario Elettronico - Infrastruttura tecnologica e codifica dei dati - L'identita' federata 14
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain 14
An Evolutionary Multiobjective Approach for Community Discovery in Dynamic Networks 14
Detecting DoS and DDoS Attacks through Sparse U-Net-like Autoencoders 13
Business process deviance mining 13
Generative Adversarial Networks for Temporally-Marked Event Sequences 12
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events 12
Linee guida per il Cloud in Sanità: Modelli, servizi e infrastruttura per il Fascicolo Sanitario Elettronico 12
Combining model- and example-driven classification to detect security breaches in activity-unaware logs 12
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 12
Hierarchical Model-Based Co-Clustering of High-Dimensional Data 12
ACQUISIZIONE E SINTESI KNOW-HOW TECNOLOGICO - Componente Adaptive Graphical Interface (AGI) Progetto di Ricerca PON M.ENTE: Management of Integrated Enterprice 11
A recommendation engine for disease prediction 11
Boosting Text Segmentation via Progressive Classification 11
Hierarchical Model-Based Co-Clustering of High-Dimensional Data 11
Methods and techniques for discovering taxonomies of behavioral process models 10
A Multi-view Learning Approach to the Discovery of Deviant Process Instances 10
A peer-to-peer architecture for detecting attacks from network traffic and log data 10
Multi-Channel Personalization for Internet Banking 10
A Hierarchical Probabilistic Model for Co-Clustering High-Dimensional Data 10
Data Mining for Effective Risk Analysis in a Bank Intelligence Scenario. 10
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks 8
An Adaptative System for on-line Bank Services based on Web Mining 8
A framework for the discovery of predictive fix-time models 8
An Incremental Clustering Scheme for Duplicate Detection in Large Database 8
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 8
Putting Enhanced Hypermedia Personalization into Practice via Web Mining 8
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks 8
DynamicNet: An effective and efficient algorithm for supporting community evolution detection in time-evolving information networks 8
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 8
RecBoost: A Supervised Approach to Automatic Text Segmentation 8
An Ensemble-based p2p Framework for the Detection of Deviant Business Process Instances 8
RecBoost: A Supervised Approach to Schema Reconciliation 8
A Comorbidity-based Recommendation Engine for Disease Prediction 8
Experimenting and assessing a probabilistic business process deviance mining framework based on ensemble learning 7
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes 7
Combining Markov Models and Association Analysis for Disease Prediction 7
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances 7
Community evolution detection in time-evolving information networks 7
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events 7
A Comorbidity Network Approach to Predict Disease Risk 7
Multiobjective evolutionary community detection for dynamic networks 7
Discovering expressive process models from noised log data 6
Context-aware predictions on business processes: An ensemble-based solution 6
Mining multi-variant process models from low-level logs 6
A Descriptive Clustering Approach to the Analysis of Quantitative Business-Process Deviances 6
Deviance-aware Discovery of High Quality Process Models 6
A Multi-view Multi-dimensional Ensemble Learning Approach to Mining Business Process Deviances 6
Discovering High-Level Performance Models for Ticket Resolution Processes 6
An Approach to the Discovery of Accurate and Expressive Fix-time Prediction Models 6
A data-adaptive trace abstraction approach to the prediction of business process performances 5
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-Structured Business Processes 5
Discovering Context-Aware Models for Predicting Business Process Performances 5
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 5
Effective Incremental Clustering for Duplicate Detection in Large Databases 5
Methods and Techniques for Discovering Taxonomies of Behavioral Process Models 5
Knowledge Discovery and Classification of Cooperation Processes for Internetworked Enterprises 5
Mining multi-variant process models from low-level logs 5
Multi-scenario Analysis and Prediction of Business Processes 5
Mining predictive process models out of low-level multidimensional logs 5
Adaptive trace abstraction approach for predicting business process performances 5
A Prediction Framework for Proactively Monitoring Aggregate Process-Performance Indicators 4
Scalable parallel co-clustering over multiple heterogeneous data types 4
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-Learning Framework for Detecting Deviances in Business Process Instances 4
Effective Incremental Clustering for Duplicate Detection in Large Databases 4
L'infrastruttura tecnologica del Fascicolo Sanitario Elettronico 4
Link Prediction Approaches for Disease Networks 4
Knowledge Discovery and Classification of Cooperation Processes for Internetworked Enterprises 4
Effective Analysis of Flexible Collaboration Processes by way of Abstraction and Mining Techniques 4
Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs 4
Context-Aware Prediction on Business Process Executions 4
Discovering Multi-perspective Process Models 4
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 3
null 3
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 3
Totale 980
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Categoria #
all - tutte 3.527
article - articoli 804
book - libri 107
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 339
Totale 4.777
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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
2024/2025926 15 13 184 45 394 47 91 82 55 0 0 0
Totale 980