Ivan Donadello's repositories
Food-Categories-Classification
This repository contains the dataset and the source code for the classification of food categories from meal images.
Visual-Relationship-Detection-LTN
This repository contains the dataset and the source code for the detection of visual relationships with the Logic Tensor Networks framework.
Declare4Py
A Python package for declarative Process Mining with Machine Learning applications
semantic-PASCAL-Part
This is a curated semantic version of the PASCAL-Part dataset for part-based object detection. Objects are aligned with WordNet and Yago concepts. The dataset is both in PASCAL-Voc and RDF format.
ML-Argument-Based-Computational-Persuasion
This repo contains the source code and a benchmark for predicting user's utilities with Machine Learning techniques for Computational Persuasion
TemplateSystemForNaturalLanguageExplanations
TS4NLE is converts the explanation of an eXplainable AI (XAI) system into natural language utterances comprehensible by humans.
LTL-prescriptive-process-monitoring
A prescriptive (outcome-based) process monitoring system that provides users with temporal recommendations among activities to perform in an ongoing process
temporal-prescriptive-process-monitoring_old
A prescriptive (outcome-based) process monitoring system that provides users with temporal recommendations among activities to perform in an ongoing process.
logictensornetworks
Deep Learning and Logical Reasoning from Data and Knowledge
Deviance_mining_sequential_declarative_patterns
Deviance mining of business processes performed with sequential and declarative patterns as features
Fuzzy-LTLf-Conformance-Checking
A really fast conformance checker for fuzzy logs with linear temporal logic specifications
prescriptiveprocessmonitoring.github.io
Expression of Interest for a PostDoc position in Prescriptive ProcessMonitoring
TS4NLE_Tutorial
A simple tutorial for the Template System for Natural Language Explanations
XAI-tutorial
A comprehensive set of colab notebooks to showcase the principal differences among XAI techniques