At the J1C2 Symposium #IeeeServices conferences.computer.org/services/2022/… Gabriel Marques Tavares presented our work Evaluation Goals for Online Process Mining, we clarify current techniques only focus on minimizing memory consumption but we need more ieeexplore.ieee.org/abstract/docum…

I'm delighted to announce the final work from my master's was finally published in Elsevier Information Systems! We proposed a recommender system capable of providing a suitable proximity graph configuration for similarity searches based on the dataset characteristics.

Methods and Applications of Process Science #itaDATA 2022 Consorzio CINI Università degli Studi di Milano

Have a look at the very cool ML4PM program at International Conference on Process Mining (ICPM) Research paper Sessions in the morning and invited talks in the afternoon. ml4pm2022.di.unimi.it

It is a pleasure to share the #ML4PM 2022 findings. In this edition, we observed an increase in interest in Predictive Process Mining and a mix of #MachineLearning approaches. Paolo Ceravolo Gabriel Marques Tavares Task Force on Process Mining International Conference on Process Mining (ICPM) Machine Learning Lab

It is us in the picture but behind we have all the #ML4PM organizers, Annalisa Appice and all the PC members

... keeping the discussion on #AutoML for #ProcessMining, we proposed the use of #MetaLearning for trace clustering. This work will be presented by Gabriel Marques Tavares at #BRACIS2022, everyone is invited! Check here: bit.ly/AutoML_PM_BRAC… Paolo Ceravolo ernesto damiani Machine Learning Lab

Our survey about encoding methods in process mining is now available on arXiv: arxiv.org/abs/2301.02167 Here is a brief overview of what I, Sylvio Barbon Junior, Paolo Ceravolo, and Gabriel Marques Tavares found out:

Is one #encoding method better than another? We compared the expressiveness, scalability, correlation power, and domain agnosticism of 27 #traceencoding of #processmining methods to answer this question. bit.ly/3QwnuMg rafael oyamada Gabriel Marques Tavares Paolo Ceravolo Machine Learning Lab

Fight fraud with #ProcessMining! By analyzing how users interact with an app (during digital onboarding), we can detect suspicious behaviour and prevent fraud. bit.ly/3IzJ5zH Matheus Camilo Gabriel Marques Tavares Paolo Ceravolo Machine Learning Lab

A new preprint is now available! Designing conditioned networks is the key to successful process simulation models. In this work, we propose CoSMo: a framework for implementing COnditioned process Simulation MOdels! bit.ly/42Ycflp Gabriel Marques Tavares Paolo Ceravolo

Excited to share our collaborative work on #ProcessMining and #MachineLearning! Join Paolo Ceravolo, ernesto damiani, Wil van der Aalst and me as we delve into the challenges of training ML models for process mining tasks. Let's pave the way for a solid integration! arxiv.org/abs/2306.10341

In this paper we show that choosing 🔍the correct encoding method can significantly impact the outcome of a task 📊 When evaluating a new algorithm, it's essential to compare apples to apples, as different encoding steps can lead to unfair assessments 🧐 sciencedirect.com/science/articl…

How might an encoding method contribute to a better comprehension of your initial problem within a new representation space? We extensively compared and discussed this matter in the context of trace data. doi.org/10.1016/j.enga… Machine Learning Lab Paolo Ceravolo Gabriel Marques Tavares rafael oyamada

News in #ProcessMining + #Python! rafael oyamada introduces an extension of #Scikitlearn for PM. It sets the stage for standardized PM+ML pipelines. Check out the paper: bit.ly/3MRYQEV. GitHub: github.com/raseidi/skpm Thx. Paolo Ceravolo and Gabriel Marques Tavares Machine Learning Lab

A step towards making deep learning more flexible for the simulation of processes! Very proud of this work. Paper available here link.springer.com/chapter/10.100…

It is a pleasure to share the #ML4PM 2024 findings. In this edition, once again, Predictive Process Monitoring stands out as the main PM task. Paolo Ceravolo Gabriel Marques Tavares Task Force on Process Mining International Conference on Process Mining (ICPM) Machine Learning Lab

🧑‍🔬🌍Munich—the place to be for #AI researchers! 3 int'l researchers,Jesse Grootjen, Azade Farshad & Gabriel Marques Tavares offer insights into their projects at Munich Center for Machine Learning and into how they are growing personally & professionally. research-in-bavaria.de/artifical-inte… #ResearchInBavaria #MachineLearning