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angelo-casciani/README.md

👋 Hi there!

I'm Angelo Casciani, a third-year PhD student enrolled in the National PhD in Artificial Intelligence at Sapienza University of Rome. My research revolves around the integration of Neuro-Symbolic AI techniques to enable actionable conversations within the vision of AI-augmented BPM Systems.

If you would like to have more information about me, you can visit my website or my LinkedIn page!

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  1. conv_automata conv_automata Public

    A Conversational Framework for Faithful Multi-Perspective Analysis of Production Processes

    Python

  2. rag_next_activity rag_next_activity Public

    This repository contains the code and data to reproduce the experiments from the paper "Enhancing Next Activity Prediction in Process Mining with Retrieval-Augmented Generation".

    Python 3

  3. sitcalc4bpmn sitcalc4bpmn Public

    A software suite for translating BPMN models to IndiGolog processes and performing formal reasoning tasks over them using the Situation Calculus and ConGolog.

    Python 1

  4. Conversational-OCEL2 Conversational-OCEL2 Public

    This repository contains the code and data to reproduce the experiments from the paper "A Conversational Framework for Object-centric Event Logs Analysis".

    Python