Skip to Content

StairwAI

page

attach

FAiRDAS: Fairness-Aware Ranking as Dynamic Abstract System (articolo in atti) — Eleonora Misino, Roberta Calegari, Michele Lombardi, Michela Milano
Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments (Intelligenza Artificiale) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper (articolo in atti) — Federico Sabbatini, Roberta Calegari
Hypercube-Based Methods for Symbolic Knowledge Extraction: Towards a Unified Model (WOA 2022) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Symbolic Knowledge Extraction from Opaque Machine Learning Predictors: GridREx & PEDRO (KR 2022) — Federico Sabbatini, Roberta Calegari
Clustering-Based Approaches for Symbolic Knowledge Extraction (articolo in atti) — Federico Sabbatini, Roberta Calegari
Logic Programming library for Machine Learning: API design and prototype (CILC 2022) — Giovanni Ciatto, Matteo Castigliò, Roberta Calegari
Shallow2Deep: Restraining Neural Networks Opacity through Neural Architecture Search (EXTRAAMAS 2021 @ AAMAS 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini
On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction (WOA 2021) — Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, Andrea Omicini
Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices (Applied Sciences) — Andrea Agiollo, Andrea Omicini
GridEx: An Algorithm for Knowledge Extraction from Black-Box Regressors (EXTRAAMAS 2021 @ AAMAS 2021) — Federico Sabbatini, Giovanni Ciatto, Andrea Omicini
A Mechanism for Reasoning over Defeasible Preferences in Arg2P (CILC 2021) — Giuseppe Pisano, Roberta Calegari, Andrea Omicini, Giovanni Sartor
Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap (WOA 2021) — Andrea Agiollo, Giovanni Ciatto, Andrea Omicini

home • partner • pubblicazioni • presentazioni • ringraziamenti

Stairway to AI: Ease the Engagement of Low-Tech users to the AI-on-Demand platform through AI

— acronimo

StairwAI

coordinamento progetto

— unità coordinatrice

— coordinatore progetto

quando

— data inizio

01/01/2021

— data fine

31/12/2023

— durata

36 mesi

URL e ID

URL • istituzionale • DOI:10.3030/101017142 • CORDIS

stato e tipo

— stato

terminato

— tipo

competitivo

finanziamento

— ente finanziatore

European Community

— programma di finanziamento

Horizon 2020

— accordo di sovvenzione

101017142

— bilancio

€ 5.384.853,75

— finanziamento

€ 5.116.630

presentazione

logo • video