7 citations · 14 across the 8 of their papers we have counts for
8 papers
GRD-Net: Generative-Reconstructive-Discriminative Anomaly Detection with Region of Interest Attention Module
Niccolò Ferrari, Michele Fraccaroli, Evelina Lamma
Anomaly detection is nowadays increasingly used in industrial applications and processes. One of the main fields of the appliance is the visual inspection for surface anomaly detec…
Exploiting Uncertainty for Querying Inconsistent Description Logics Knowledge Bases
Riccardo Zese, Evelina Lamma, Fabrizio Riguzzi
The necessity to manage inconsistency in Description Logics Knowledge Bases (KBs) has come to the fore with the increasing importance gained by the Semantic Web, where information…
An Iterative Fixpoint Semantics for MKNF Hybrid Knowledge Bases with Function Symbols
Marco Alberti, Riccardo Zese, Fabrizio Riguzzi +1
Hybrid Knowledge Bases based on Lifschitz's logic of Minimal Knowledge with Negation as Failure are a successful approach to combine the expressivity of Description Logics and Logi…
Nonground Abductive Logic Programming with Probabilistic Integrity Constraints
Elena Bellodi, Marco Gavanelli, Riccardo Zese +2
Uncertain information is being taken into account in an increasing number of application fields. In the meantime, abduction has been proved a powerful tool for handling hypothetica…
A Framework for Reasoning on Probabilistic Description Logics
Giuseppe Cota, Riccardo Zese, Elena Bellodi +2
While there exist several reasoners for Description Logics, very few of them can cope with uncertainty. BUNDLE is an inference framework that can exploit several OWL (non-probabili…
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules
Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi
Deep learning techniques play an increasingly important role in industrial and research environments due to their outstanding results. However, the large number of hyper-parameters…