research
∙
11/09/2022
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns
Prescriptive Process Monitoring systems recommend, during the execution ...
share
research
∙
12/09/2021
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion
Automated persuasion systems (APS) aim to persuade a user to believe som...
research
∙
04/24/2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
The latest Deep Learning (DL) models for detection and classification ha...
research
∙
10/01/2019
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation
Semantic Image Interpretation is the task of extracting a structured sem...
research
∙
05/24/2017
