Alessandro Berti

Orcid: 0000-0001-9144-9572

According to our database1, Alessandro Berti authored at least 47 papers between 2014 and 2024.

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Bibliography

2024
Force-Sensor-Free Implementation of a Hybrid Position-Force Control for Overconstrained Cable-Driven Parallel Robots.
Robotics, February, 2024

Process Modeling With Large Language Models.
CoRR, 2024

Evaluating Large Language Models in Process Mining: Capabilities, Benchmarks, Evaluation Strategies, and Future Challenges.
CoRR, 2024

ProMoAI: Process Modeling with Generative AI.
CoRR, 2024

OCEL 2.0 Resources - www.ocel-standard.org.
CoRR, 2024

OCEL (Object-Centric Event Log) 2.0 Specification.
CoRR, 2024

2023
A generic approach to extract object-centric event data from databases supporting SAP ERP.
J. Intell. Inf. Syst., December, 2023

PM4Py: A process mining library for Python.
Softw. Impacts, September, 2023

XOR-AND-XOR Logic Forms for Autosymmetric Functions and Applications to Quantum Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2023

OC-PM: analyzing object-centric event logs and process models.
Int. J. Softw. Tools Technol. Transf., February, 2023

Advancements and Challenges in Object-Centric Process Mining: A Systematic Literature Review.
CoRR, 2023

Leveraging Large Language Models (LLMs) for Process Mining (Technical Report).
CoRR, 2023

Applying Process Mining on Scientific Workflows: a Case Study.
CoRR, 2023

OCEL 2.0 Resources - www.ocel-standard.org.
Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023

SLURMminer: A Tool for SLURM System Analysis with Process Mining.
Proceedings of the Best Dissertation Award, 2023

A Collection of Simulated Event Logs for Fairness Assessment in Process Mining.
Proceedings of the Best Dissertation Award, 2023

Abstractions, Scenarios, and Prompt Definitions for Process Mining with LLMs: A Case Study.
Proceedings of the Business Process Management Workshops, 2023

2022
Quantum Clustering with k-Means: a Hybrid Approach.
CoRR, 2022

Interactive Process Identification and Selection from SAP ERP.
CoRR, 2022

Filtering and Sampling Object-Centric Event Logs.
CoRR, 2022

A Scalable Database for the Storage of Object-Centric Event Logs.
CoRR, 2022

Interactive Business Process Comparison Using Conformance and Performance Insights - A Tool.
Proceedings of the Research Challenges in Information Science, 2022

PM4Py-GPU: A High-Performance General-Purpose Library for Process Mining.
Proceedings of the Research Challenges in Information Science, 2022

Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Clustering Classical Data with Quantum k-Means.
Proceedings of the 23rd Italian Conference on Theoretical Computer Science, 2022

2021
A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process Enhancement.
Trans. Petri Nets Other Model. Concurr., 2021

Process Comparison Using Object-Centric Process Cubes.
CoRR, 2021

A Simple Model-Based Method for Sloshing Estimation in Liquid Transfer in Automatic Machines.
IEEE Access, 2021

An Event Data Extraction Approach from SAP ERP for Process Mining.
Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

OCEL: A Standard for Object-Centric Event Logs.
Proceedings of the New Trends in Database and Information Systems, 2021

2020
Discovering Object-centric Petri Nets.
Fundam. Informaticae, 2020

An Open-Source Integration of Process Mining Features Into the Camunda Workflow Engine: Data Extraction and Challenges.
Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), 2020

2019
Increasing Scalability of Process Mining using Event Dataframes: How Data Structure Matters.
CoRR, 2019

Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science.
CoRR, 2019

Extracting Multiple Viewpoint Models from Relational Databases.
Proceedings of the Data-Driven Process Discovery and Analysis, 2019

Filtering Toolkit: Interactively Filter Event Logs to Improve the Quality of Discovered Models.
Proceedings of the Dissertation Award, 2019

PM4Py Web Services: Easy Development, Integration and Deployment of Process Mining Features in any Application Stack.
Proceedings of the Dissertation Award, 2019

Process Mining on Event Graphs: a Framework to Extensively Support Projects.
Proceedings of the Dissertation Award, 2019

Reviving Token-based Replay: Increasing Speed While Improving Diagnostics.
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2019 Satellite event of the conferences: 40th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2019 and 19th International Conference on Application of Concurrency to System Design ACSD 2019, 2019

2018
StarStar Models: Process Analysis on top of Databases.
CoRR, 2018

StarStar Models: Using Events at Database Level for Process Analysis.
Proceedings of the 8th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2018), 2018

2016
Solving the direct geometrico-static problem of underconstrained cable-driven parallel robots by interval analysis.
Int. J. Robotics Res., 2016

Dynamic Recovery of Cable-Suspended Parallel Robots After a Cable Failure.
Proceedings of the Advances in Robot Kinematics 2016, 2016

2015
Kinematics and statics of cable-driven parallel robots by interval-analysis-based methods. (Modélisations géométrique et statique des robots parallèles à câbles avec des méthodes d'analyse par intervalles).
PhD thesis, 2015

No-Free-Lunch theorems in the continuum.
Theor. Comput. Sci., 2015

2014
An Improved Node Ranking for Label Propagation and Modularity based Clustering.
CoRR, 2014

A novel criterion for overlapping communities detection and clustering improvement.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014


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