Massimiliano de Leoni

Massimiliano de Leoni

Università degli Studi di Padova

H-index: 40

Europe-Italy

About Massimiliano de Leoni

Massimiliano de Leoni, With an exceptional h-index of 40 and a recent h-index of 31 (since 2020), a distinguished researcher at Università degli Studi di Padova, specializes in the field of Business Process Management, Process Mining, Information Systems, Artificial Intelligence, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

An empirical evaluation of unsupervised event log abstraction techniques in process mining

Modelling data-aware stochastic processes-discovery and conformance checking

An explainable decision support system for predictive process analytics

Object-centric process predictive analytics

Predictive Analytics for Object-Centric Processes: Do Graph Neural Networks Really Help?

Parallelism-based Session Creation to Identify High-Level Activities in Event Log Abstraction

Repair of unsound data-aware process models

Investigating the Influence of Data-aware Process States on Activity Probabilities in Simulation Models: Does Accuracy Improve?

Massimiliano de Leoni Information

University

Position

Assistant Professor of Computer Science

Citations(all)

6771

Citations(since 2020)

3912

Cited By

4162

hIndex(all)

40

hIndex(since 2020)

31

i10Index(all)

84

i10Index(since 2020)

57

Email

University Profile Page

Università degli Studi di Padova

Google Scholar

View Google Scholar Profile

Massimiliano de Leoni Skills & Research Interests

Business Process Management

Process Mining

Information Systems

Artificial Intelligence

Data Science

Top articles of Massimiliano de Leoni

Title

Journal

Author(s)

Publication Date

An empirical evaluation of unsupervised event log abstraction techniques in process mining

Information Systems

Greg Van Houdt

Massimiliano de Leoni

Niels Martin

Benoît Depaire

2024/3/1

Modelling data-aware stochastic processes-discovery and conformance checking

Felix Mannhardt

Sander JJ Leemans

Christopher T Schwanen

Massimiliano de Leoni

2023/5/28

An explainable decision support system for predictive process analytics

Engineering Applications of Artificial Intelligence

Riccardo Galanti

Massimiliano de Leoni

Merylin Monaro

Nicolò Navarin

Alan Marazzi

...

2023/4/1

Object-centric process predictive analytics

Expert Systems with Applications

Riccardo Galanti

Massimiliano De Leoni

Nicolò Navarin

Alan Marazzi

2023/3/1

Predictive Analytics for Object-Centric Processes: Do Graph Neural Networks Really Help?

Riccardo Galanti

Massimiliano de Leoni

2023/9/11

Parallelism-based Session Creation to Identify High-Level Activities in Event Log Abstraction

Onur Dogan

Massimiliano de Leoni

2023

Repair of unsound data-aware process models

Matteo Zavatteri

Davide Bresolin

Massimiliano de Leoni

2023/9/11

Investigating the Influence of Data-aware Process States on Activity Probabilities in Simulation Models: Does Accuracy Improve?

Massimiliano de Leoni

Francesco Vinci

Sander JJ Leemans

Felix Mannhardt

2023

Resource Allocation in Recommender Systems for Global KPI Improvement

Alessandro Padella

Massimiliano de Leoni

2023/9/1

Explainable process prescriptive analytics

Alessandro Padella

Massimiliano de Leoni

Onur Dogan

Riccardo Galanti

2022/10/23

Foundations of process enhancement

Massimiliano de Leoni

2022/6/27

Estimating activity start timestamps in the presence of waiting times via process simulation

Claudia Fracca

Massimiliano de Leoni

Fabio Asnicar

Alessandro Turco

2022/6/3

A framework to improve the accuracy of process simulation models

Francesca Meneghello

Claudia Fracca

Massimiliano de Leoni

Fabio Asnicar

Alessandro Turco

2022/5/14

Fire now, fire later: alarm-based systems for prescriptive process monitoring

Knowledge and Information Systems

Stephan A Fahrenkrog-Petersen

Niek Tax

Irene Teinemaa

Marlon Dumas

Massimiliano de Leoni

...

2022/2

The benefits of sensor-measurement aggregation in discovering IoT process models: a smart-house case study

Massimiliano de Leoni

Lucia Pellattiero

2021/9/6

BPSimpy: A Python Library for WfMC-Standard Process-Simulation Specifications.

Claudia Fracca

Angelica Bianconi

Francesca Meneghello

Massimiliano de Leoni

Fabio Asnicar

...

2021/9/6

Accurate predictions, invalid recommendations: lessons learned at the Dutch social security institute UWV

Marcus Dees

Massimiliano de Leoni

Wil MP van der Aalst

Hajo A Reijers

2021/8/5

Integrating BPMN and DMN: modeling and analysis

Journal on Data Semantics

Massimiliano De Leoni

Paolo Felli

Marco Montali

2021/6

Integration of an explainable predictive process monitoring system into ibm process mining suite

Riccardo Galanti

De Leoni

M Marazzi

A Bottazzi

G Delsante

...

2021

Soundness verification of data-aware process models with variable-to-variable conditions

fundamenta informaticae

Paolo Felli

Massimiliano De Leoni

Marco Montali

2021/1/1

See List of Professors in Massimiliano de Leoni University(Università degli Studi di Padova)

Co-Authors

H-index: 93
Schahram Dustdar

Schahram Dustdar

Technische Universität Wien

H-index: 76
Hajo A. Reijers

Hajo A. Reijers

Universiteit Utrecht

H-index: 59
Boudewijn van Dongen

Boudewijn van Dongen

Technische Universiteit Eindhoven

H-index: 45
Alessandro Sperduti

Alessandro Sperduti

Università degli Studi di Padova

H-index: 45
Dirk Fahland

Dirk Fahland

Technische Universiteit Eindhoven

H-index: 43
Marco Montali

Marco Montali

Libera Università di Bolzano

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