9 citations · 15 across the 4 of their papers we have counts for
6 papers
On the use of dynamic mode decomposition for time-series forecasting of ships operating in waves
Andrea Serani, Paolo Dragone, Frederick Stern +1
In order to guarantee the safety of payload, crew, and structures, ships must exhibit good seakeeping, maneuverability, and structural-response performance, also when they operate…
Neuro-Symbolic Constraint Programming for Structured Prediction
Paolo Dragone, Stefano Teso, Andrea Passerini
We propose Nester, a method for injecting neural networks into constrained structured predictors. The job of the neural network(s) is to compute an initial, raw prediction that is…
Decomposition Strategies for Constructive Preference Elicitation
Paolo Dragone, Stefano Teso, Mohit Kumar +1
We tackle the problem of constructive preference elicitation, that is the problem of learning user preferences over very large decision problems, involving a combinatorial space of…
Constructive Preference Elicitation over Hybrid Combinatorial Spaces
Paolo Dragone, Stefano Teso, Andrea Passerini
Preference elicitation is the task of suggesting a highly preferred configuration to a decision maker. The preferences are typically learned by querying the user for choice feedbac…
Coactive Critiquing: Elicitation of Preferences and Features
Stefano Teso, Paolo Dragone, Andrea Passerini
When faced with complex choices, users refine their own preference criteria as they explore the catalogue of options. In this paper we propose an approach to preference elicitation…
Non-Sentential Utterances in Dialogue: Experiments in Classification and Interpretation
Paolo Dragone
Non-sentential utterances (NSUs) are utterances that lack a complete sentential form but whose meaning can be inferred from the dialogue context, such as "OK", "where?", "probably…