CNR Institutional Research Information System

PONTIERI, LUIGI
 Distribuzione geografica
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Continente #
NA - Nord America 2.993
AS - Asia 2.799
EU - Europa 872
SA - Sud America 573
Continente sconosciuto - Info sul continente non disponibili 243
AF - Africa 57
OC - Oceania 3
Totale 7.540
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Nazione #
US - Stati Uniti d'America 2.832
SG - Singapore 1.174
CN - Cina 616
BR - Brasile 423
IT - Italia 349
VN - Vietnam 290
HK - Hong Kong 280
FR - Francia 153
KR - Corea 131
DE - Germania 99
CA - Canada 78
JP - Giappone 60
NL - Olanda 58
GB - Regno Unito 55
IN - India 47
BD - Bangladesh 39
AR - Argentina 34
EC - Ecuador 31
FI - Finlandia 28
CO - Colombia 26
IQ - Iraq 26
ID - Indonesia 23
ZA - Sudafrica 21
ES - Italia 19
AT - Austria 18
IL - Israele 17
CR - Costa Rica 16
MX - Messico 16
JM - Giamaica 14
UA - Ucraina 14
VE - Venezuela 14
TR - Turchia 13
PK - Pakistan 12
BE - Belgio 11
CL - Cile 11
PE - Perù 11
PY - Paraguay 11
MA - Marocco 10
KE - Kenya 9
RU - Federazione Russa 9
SE - Svezia 9
HN - Honduras 8
LT - Lituania 8
UZ - Uzbekistan 8
IE - Irlanda 7
TH - Thailandia 7
UY - Uruguay 7
GT - Guatemala 6
MY - Malesia 6
PH - Filippine 6
PL - Polonia 6
SA - Arabia Saudita 6
KG - Kirghizistan 5
AZ - Azerbaigian 4
BO - Bolivia 4
EG - Egitto 4
IR - Iran 4
NP - Nepal 4
PT - Portogallo 4
TN - Tunisia 4
TT - Trinidad e Tobago 4
AE - Emirati Arabi Uniti 3
AL - Albania 3
AU - Australia 3
BH - Bahrain 3
DO - Repubblica Dominicana 3
NI - Nicaragua 3
RS - Serbia 3
SV - El Salvador 3
TW - Taiwan 3
BG - Bulgaria 2
BY - Bielorussia 2
CH - Svizzera 2
DM - Dominica 2
DZ - Algeria 2
GR - Grecia 2
HT - Haiti 2
KW - Kuwait 2
KZ - Kazakistan 2
LB - Libano 2
LU - Lussemburgo 2
LV - Lettonia 2
SY - Repubblica araba siriana 2
AG - Antigua e Barbuda 1
BB - Barbados 1
BN - Brunei Darussalam 1
BS - Bahamas 1
CZ - Repubblica Ceca 1
DJ - Gibuti 1
EE - Estonia 1
GA - Gabon 1
GE - Georgia 1
GY - Guiana 1
HR - Croazia 1
HU - Ungheria 1
JO - Giordania 1
KY - Cayman, isole 1
MD - Moldavia 1
MR - Mauritania 1
MU - Mauritius 1
Totale 7.289
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Città #
Singapore 705
Santa Clara 527
San Jose 482
Hong Kong 271
Hefei 241
Ashburn 184
Council Bluffs 177
Seoul 130
Lauterbourg 126
Beijing 111
Ho Chi Minh City 96
Los Angeles 88
Hanoi 65
Dallas 56
New York 55
Rende 53
Tokyo 39
Princeton 38
Abbeville 35
Rome 35
Nuremberg 33
São Paulo 33
Buffalo 22
Catania 22
Frankfurt am Main 21
Milan 21
Brooklyn 20
Guangzhou 19
Helsinki 18
Toronto 18
Orem 17
Phoenix 17
Montreal 16
Cosenza 15
Da Nang 15
Atlanta 14
Philadelphia 14
Minamishinagawa 13
Curitiba 12
Haiphong 12
Houston 12
Lima 12
Newark 12
Quito 12
Rio de Janeiro 12
Amsterdam 11
Bari 11
Chicago 11
Jacksonville 11
Naples 11
Dhaka 10
London 10
Manchester 10
San José 10
Belo Horizonte 9
Bengaluru 9
Boardman 9
Boston 9
Brussels 9
Chennai 9
Denver 9
Lappeenranta 9
Vienna 9
Asunción 8
Biên Hòa 8
Bogotá 8
Bologna 8
Guarulhos 8
Guayaquil 8
Johannesburg 8
Kingston 8
Nairobi 8
Ottawa 8
Palermo 8
San Antonio 8
San Francisco 8
Springfield 8
Tashkent 8
Washington 8
Baghdad 7
Bayreuth 7
Campinas 7
Charlotte 7
Detroit 7
Dublin 7
Düsseldorf 7
Porto Alegre 7
Stockholm 7
The Bronx 7
Casablanca 6
Cleveland 6
Florence 6
Fort Worth 6
Hải Dương 6
Las Vegas 6
Memphis 6
Miami 6
Ninh Bình 6
Pietrafitta 6
Queens 6
Totale 4.386
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Nome #
Towards Data- and Compute-Efficient Fake-News Detection: An Approach Combining Active Learning and Pre-Trained Language Models 120
The force of few: boosting deviance detection in data scarcity scenarios through self-supervised learning and pattern-based encoding 101
Combining deep ensemble learning and explanation for intelligent ticket management 101
Learning Effective Neural Nets for Outcome Prediction from Partially Labelled Log Data 93
A compression-based framework for the efficient analysis of business process logs 89
Experimenting and assessing a probabilistic business process deviance mining framework based on ensemble learning 89
Discovering ensembles of small language models out of scarcely labelled data for fake news detection 89
A hybrid technique for data mining on balance-sheet data 88
A Scalable Vertical Federated Learning Framework for Analytics in the Cybersecurity Domain 88
Combining Active Learning and Fast DNN Ensembles for Process Deviance Discovery 87
Semi-Supervised Discovery of DNN-Based Outcome Predictors from Scarcely-Labeled Process Logs 83
Data- & compute-efficient deviance mining via active learning and fast ensembles 83
Process Mining meets argumentation: Explainable interpretations of low-level event logs via abstract argumentation 82
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 81
Outlier Detection Techniques for Process Mining Applications 79
A prototypal environment for collaborative work within a research organization 77
Play it Straight: An Intelligent Data Pruning Technique for Green-AI 77
Business process deviance mining 75
Transparent Models in Healthcare: Enhancing Decision Support through Explainability 75
Efficiently approaching vertical federated learning by combining data reduction and conditional computation techniques 74
Generating the traces you need: a conditional generative model for Process Mining data 70
Data-Efficient Deep Learning Approach for Explainable Process Deviance Discovery 70
A ROBUST AND VERSATILE MULTI-VIEW LEARNING FRAMEWORK FOR THE DETECTION OF DEVIANT BUSINESS PROCESS INSTANCES 68
An Explainable Deep Ensemble Framework for Intelligent Ticket Management 68
A Knowledge-Based Framework for Supporting and Analysing Loosely Structured Collaborative Processes 67
Methods and techniques for discovering taxonomies of behavioral process models 66
On the interpretation of traces of low level events in business process logs 66
An ensemble-based approach to the security-oriented classification of low-level log traces 66
Discovering accurate deep learning based predictive models for automatic customer support ticket classification 66
AI-Empowered Process Mining for Complex Application Scenarios: Survey and Discussion 65
A Framework Supporting the Analysis of Process Logs Stored in Either Relational or NoSQL DBMSs 64
Predictive monitoring of temporally-aggregated performance indicators of business processes against low-level streaming events 63
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 63
Explainable Process Deviance Discovery with Data-Efficient Deep Learning 61
20+ Years of Analytics on Complex Data: Impact, Issues, Challenges and Contributions 61
Deviance-Aware Discovery of High-Quality Process Models 60
Learning Deep Fake-News Detectors from Scarcely-Labelled News Corpora 60
Generating multiperspective process traces using conditional variational autoencoders 59
Exploiting Temporal Convolution for Activity Prediction in Process Analytics 59
Toward trustworthy and sustainable clinical decision support by training ensembles of specialized logistic regressors 59
On learning effective ensembles of deep neural networks for intrusion detection 58
Argumentation meets Process Mining: an architecture for log interpretation 58
Sparse Mixtures of Shallow Linear Experts for Interpretable and Fast Outcome Prediction 58
A Data-Driven Prediction Framework for Analyzing and Monitoring Business Process Performances 56
Process Mining Manifesto 56
A framework for the discovery of predictive fix-time models 54
Data Filtering for a Sustainable Model Training 54
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 54
A data-adaptive trace abstraction approach to the prediction of business process performances 53
Enhancing histograms by tree-like bucket indices 52
Using Genetic Programming for Combining an Ensemble of Local and Global Outlier Algorithms to Detect New Attacks 52
A peer-to-peer architecture for detecting attacks from network traffic and log data 52
An Approach to the Discovery of Accurate and Expressive Fix-time Prediction Models 51
A GP-based ensemble classification framework for time-changing streams of intrusion detection data 51
Process Discovery from Low-Level Event Logs 50
Context-aware predictions on business processes: An ensemble-based solution 49
Exploiting Structural Similarity for Effective Web Information Extraction 49
A p2p environment to validate ensemble-based approaches in the cybersecurity domain 49
On the Discovery of Explainable and Accurate Behavioral Models for Complex Lowly-Structured Business Processes 48
Mining Constrained Graphs: The Case of Workflow Systems 47
A Multi-View Ensemble of Deep Models for the Detection of Deviant Process Instances 47
Generative Adversarial Networks for Temporally-Marked Event Sequences 46
Discovering Expressive Process Models by Clustering Log Traces 46
Intensional and extensional integration and abstraction of heterogeneous databases 46
Discovering Multi-perspective Process Models: The Case of Loosely-Structured Processes 46
Deviance-aware Discovery of High Quality Process Models 46
ACQUISIZIONE E SINTESI KNOW-HOW TECNOLOGICO - Componente Adaptive Graphical Interface (AGI) Progetto di Ricerca PON M.ENTE: Management of Integrated Enterprice 46
Extensions, Analysis and Experimental Assessment of a Probabilistic Ensemble-Learning Framework for Detecting Deviances in Business Process Instances 46
A Cloud-based Prediction Framework for Analyzing Business Process Performances 45
Discovering expressive process models from noised log data 44
Mining Constrained Graphs: The Case of Workflow Systems 44
A Predictive Learning Framework for Monitoring Aggregated Performance Indicators over Business Process Events 44
Intelligenza Artificiale e Machine Learning nei Sistemi Industriali di Manutenzione 44
Combining model- and example-driven classification to detect security breaches in activity-unaware logs 43
KMS+ProM 42
Efficiently interpreting traces of low level events in business process logs 42
DWS mining plugin 42
A Multi-view Learning Approach to the Discovery of Deviant Process Instances 42
An Information-Theoretic Framework for Process Structure and Data Mining 42
Online and offline classification of traces of event logs on the basis of security risks 41
How, Who and When: Enhancing Business Process Warehouses By Graph Based Queries 41
Mining Hierarchies of Models: From Abstract Views to Concrete Specifications 40
Mining Usage Scenarios in Business Processes: Outlier-Aware Discovery and Run-Time Prediction 40
An Ensemble-based p2p Framework for the Detection of Deviant Business Process Instances 40
Learning Fast to Detect Slow: A Few-Shot Neural Approach to Slow DoS Attack Detection 39
A framework supporting the analysis of process logs 39
DPET: A Data and Parameter Efficient Training Framework for Green AI 39
Who Drives Misinformation? Key Node Detection with Heterogeneous Graph Neural Networks 38
A Probabilistic Unified Framework for Event Abstraction and Process Detection from Log Data 38
Effective Incremental Clustering for Duplicate Detection in Large Databases 38
Knowledge Discovery and Classification of Cooperation Processes for Internetworked Enterprises 38
Pushing More AI Capabilities into Process Mining to Better Deal with Low-Quality Logs 38
Discovering Context-Aware Models for Predicting Business Process Performances 37
An Incremental Clustering Scheme for Duplicate Detection in Large Database 37
An efficient model training framework for green AI 37
Effective Incremental Clustering for Duplicate Detection in Large Databases 37
A Multi-view Multi-dimensional Ensemble Learning Approach to Mining Business Process Deviances 37
A framework supporting the analysis of process logs 37
Discovering High-Level Performance Models for Ticket Resolution Processes 37
Detecting Structural Similarities between XML Documents 37
Totale 5.711
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Categoria #
all - tutte 24.941
article - articoli 7.263
book - libri 0
conference - conferenze 0
curatela - curatele 0
other - altro 0
patent - brevetti 0
selected - selezionate 0
volume - volumi 2.220
Totale 34.424
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Totale Lug Ago Sett Ott Nov Dic Gen Feb Mar Apr Mag Giu
2023/202480 0 0 0 0 0 0 0 0 10 9 55 6
2024/20252.306 25 14 214 76 513 67 109 115 85 72 540 476
2025/20263.321 206 291 352 510 549 147 515 189 201 190 99 72
2026/20271.833 250 150 674 759 0 0 0 0 0 0 0 0
Totale 7.540