Towards visualizing and analysing legal proceedings with process mining

Process mining (PM) is a family of data-driven techniques which use data with the goal of studying the process behind the data, i.e., the data-generating process. Despite initially tailored for the engineering and industrial domain, it is becoming popular also in more human-centric domains like the legal and healthcare ones. This paper proposes preliminary steps towards a general-purpose process mining methodology utilizing Fluxicon’s Disco tool aimed at analyzing and optimizing the complex p...

Investigating Functional Data Analysis for Wearable Physiological Sensor Data in Stress Evaluation

Measuring stress level objectively is crucial for personalized health monitoring. While traditional methods require a clinical setting, wearables provide a valuable alternative. In this paper, we approach stress assessment as a regression task, focusing on stress exposure, and evaluate Functional Data Analysis (FDA) to extract richer information from physiological signals. We apply scalar-on-function regression and functional clustering to WESAD, a public dataset which contains signals from w...

Dissimilarity for Linear Dynamical Systems

Formal Approaches for Modeling and Analysis of Business Process Collaborations

The paper introduces a general framework for handling BPMN graphical (semi-formal) models used for describing business process collaborations. It offers a systematic and architecturally comprehensive synthesis of the authors’ prior work on the direct formalization of business process collaborations, the specification of their properties, and their verification and animation. The results exposed in this paper (and many others, indeed) have a direct “causal link” with what the authors...