Per Year
Per Year
31 publications without ACM ID / 2022
- CILC 2022 – Italian Conference on Computational Logic
- Probabilistic logic programming in 2P-Kt
- Towards Quality-of-Service Metrics for Symbolic Knowledge Injection
- Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments
- Special Issue for the 22nd Workshop “From Objects to Agents'' (WOA 2021)
- KINS: Knowledge Injection via Network Structuring
- Semantic Web-based Interoperability for Intelligent Agents with PSyKE
- Logic Programming library for Machine Learning: API design and prototype
- On Correctness and Completeness of an n Queens Program
- A view to a KILL: Knowledge Injection via Lambda Layer
- Arguing About the Existence of Conflicts
- Taking stock of available technologies for compliance checking on first-order knowledge
- Fifty Years of Prolog and Beyond
- Arg2P: An argumentation framework for explainable intelligent systems
- Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper
- Burden of Persuasion in Meta-argumentation
- Pervasive and Connected Digital Twins - A Vision for Digital Health
- Preface – Proceedings of the 37th Italian Conference on Computational Logic (CILC 2022)
- A Methodology and Simulation-Based Toolchain for Estimating Deployment Performance of Smart Collective Services at the Edge
- Towards Human-centric AutoML via Logic and Argumentation
- ICLP Workshops 2022: International Conference on Logic Programming 2022 Workshops
- Modular logic argumentation in Arg-tuProlog
- How to model contrary-to-duty with GCP-nets
- Clustering-Based Approaches for Symbolic Knowledge Extraction
- Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model
- GNN2GNN: Graph Neural Networks to Generate Neural Networks
- Selected papers from the 22nd Workshop “From Objects to Agents'' (WOA 2021)
- Coordination of Autonomous Vehicles: Taxonomy and Survey
- On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors
- Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO
- Intelligent Systems for Engineers and Scientists: A Practical Guide to Artificial Intelligence