1 code implementation • 27 May 2024 • Giovanni De Toni, Nastaran Okati, Suhas Thejaswi, Eleni Straitouri, Manuel Gomez-Rodriguez
Then, we show that the problem of finding the optimal prediction sets under which the human experts achieve the highest average accuracy is NP-hard.
no code implementations • 8 Apr 2024 • Seyedehdelaram Esfahani, Giovanni De Toni, Bruno Lepri, Andrea Passerini, Katya Tentori, Massimo Zancanaro
Our results suggest that users may recognize that the guided interaction paradigm improves efficiency.
1 code implementation • 27 May 2022 • Giovanni De Toni, Paolo Viappiani, Stefano Teso, Bruno Lepri, Andrea Passerini
It is paramount that the sequence of actions does not require too much effort for users to implement.
1 code implementation • 18 Jan 2022 • Giovanni De Toni, Bruno Lepri, Andrea Passerini
Being able to provide counterfactual interventions - sequences of actions we would have had to take for a desirable outcome to happen - is essential to explain how to change an unfavourable decision by a black-box machine learning model (e. g., being denied a loan request).
no code implementations • NeurIPS Workshop AIPLANS 2021 • Giovanni De Toni, Luca Erculiani, Andrea Passerini
We showcase the potential of our approach by learning the Quicksort algorithm, showing how the ability to deal with arguments is crucial for learning and generalization.
1 code implementation • 28 Oct 2020 • Giovanni De Toni, Cristian Consonni, Alberto Montresor
Influenza is an acute respiratory seasonal disease that affects millions of people worldwide and causes thousands of deaths in Europe alone.