E-LIB Suche - Ergebnisse für: Viappiani, Paolo

1

Advances in preference handling: foreword:

Belahcène, Khaled ; Destercke, Sébastien ; Labreuche, Christophe..
Annals of Mathematics and Artificial Intelligence. , 2024

Link: https://doi.org/10.1007/..

2

Volumetric Aggregation Methods for Scoring Rules with Unkno..:

Viappiani, Paolo
Group Decision and Negotiation. 33 (2024) 3 - p. 515-563 , 2024

Link: https://doi.org/10.1007/..

3

Personalized bundle recommendation using preference elicita..:

Robbi, Erich ; Bronzini, Marco ; Viappiani, Paolo.
Frontiers in Artificial Intelligence. 7 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

4

An Efficient Non-Bayesian Approach for Interactive Preferen..:

, In: Lecture Notes in Computer Science; Symbolic and Quantitative Approaches to Reasoning with Uncertainty,

Pourkhajouei, Samira ; Toffano, Federico ; Viappiani, Paolo. - p. 308-321 , 2023

Link: https://doi.org/10.1007/..

5

Principles and Validations of an Artificial Intelligence-Ba..:

Vandeputte, Jules ; Herold, Pierrick ; Kuslii, Mykyt...
The Journal of Nutrition. , 2022

Link: https://doi.org/10.1016/..

6

Intelligent Agents for Multi-user Preference Elicitation:

, In: Lecture Notes in Networks and Systems; Advances in Deep Learning, Artificial Intelligence and Robotics,

Nefla, Ons ; Brigui, Iméne ; Ozturk, Meltem. - p. 151-161 , 2022

Link: https://doi.org/10.1007/..

7

Selecting the Most Relevant Elements from a Ranking over Se..:

, In: Lecture Notes in Computer Science; Scalable Uncertainty Management,

Konieczny, Sébastien ; Moretti, Stefano ; Ravier, Ariane. - p. 172-185 , 2022

Link: https://doi.org/10.1007/..

8

Rank Aggregation by Dissatisfaction Minimisation in the Una..:

, In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems,

Grivet Sébert, Arnaud ; Maudet, Nicolas ; Perny, Patrice. - p. 1518-1520 , 2021

Link: https://dl.acm.org/doi/1..

9

Simultaneous Elicitation of Scoring Rule and Agent Preferen..:

, In: Algorithmic Decision Theory; Lecture Notes in Computer Science,

Napolitano, Beatrice ; Cailloux, Olivier ; Viappiani, Paolo - p. 51-67 , 2021

Link: https://doi.org/10.1007/..

10

Preference Aggregation in the Generalised Unavailable Candi..:

, In: Algorithmic Decision Theory; Lecture Notes in Computer Science,

Grivet Sébert, Arnaud ; Maudet, Nicolas ; Perny, Patrice. - p. 35-50 , 2021

Link: https://doi.org/10.1007/..

11

Efficient Exact Computation of Setwise Minimax Regret for I..:

, In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems,

Toffano, Federico ; Viappiani, Paolo ; Wilson, Nic - p. 1326-1334 , 2021

Link: https://dl.acm.org/doi/1..

12

A Bayesian Interpretation of the Monty Hall Problem with Ep..:

, In: Modeling Decisions for Artificial Intelligence; Lecture Notes in Computer Science,

Manfredotti, Cristina ; Viappiani, Paolo - p. 93-105 , 2021

Link: https://doi.org/10.1007/..

13

Incremental Elicitation of Capacities for the Sugeno Integr..:

, In: Lecture Notes in Computer Science; Scalable Uncertainty Management,

Rico, Agnès ; Viappiani, Paolo - p. 156-171 , 2020

Link: https://doi.org/10.1007/..

14

On the equivalence of optimal recommendation sets and myopi..:

Viappiani, Paolo ; Boutilier, Craig
Artificial Intelligence. 286 (2020) - p. 103328 , 2020

Link: https://doi.org/10.1016/..

15

Robust winner determination in positional scoring rules wit..:

Viappiani, Paolo
Theory and Decision. 88 (2019) 3 - p. 323-367 , 2019

Link: https://doi.org/10.1007/..