Arianna Casanova

According to our database, Arianna Casanova authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Federated Concept-Based Models: Interpretable models with distributed supervision.

Dario Fenoglio, Arianna Casanova, Francesco De Santis, Mohan Li, Gabriele Dominici, Johannes Schneider, Martin Gjoreski, Marc Langheinrich, Pietro Barbiero, Giovanni de Felice

CoRR, February, 2026

Mixture of Concept Bottleneck Experts.

Francesco De Santis, Gabriele Ciravegna, Giovanni de Felice, Arianna Casanova, Francesco Giannini, Michelangelo Diligenti, Mateo Espinosa Zarlenga, Pietro Barbiero, Johannes Schneider, Danilo Giordano

CoRR, February, 2026

Origins of Toxicity in Human-LLM Conversations.

Johannes Schneider, Arianna Casanova Flores, Anne-Catherine Kranz

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

Enhanced Data-Driven Product Development via Gradient Based Optimization and Conformalized Monte Carlo Dropout Uncertainty Estimation.

Andrea Thomas Nava, Lijo Johny, Fabio Azzalini, Johannes Schneider, Arianna Casanova

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025

Improving classifier decision boundaries and interpretability using nearest neighbors.

Johannes Schneider, Arianna Casanova

Discov. Artif. Intell., December, 2025

Causally Reliable Concept Bottleneck Models.

Giovanni de Felice, Arianna Casanova Flores, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Exploring Human-LLM Conversations: Mental Models and the Originator of Toxicity.

Johannes Schneider, Arianna Casanova Flores, Anne-Catherine Kranz

CoRR, 2024

2022

Information algebras in the theory of imprecise probabilities, an extension.

Arianna Casanova, Juerg Kohlas, Marco Zaffalon

Int. J. Approx. Reason., 2022

Information algebras in the theory of imprecise probabilities.

Arianna Casanova, Juerg Kohlas, Marco Zaffalon

Int. J. Approx. Reason., 2022

Joint Desirability Foundations of Social Choice and Opinion Pooling.

Arianna Casanova, Enrique Miranda, Marco Zaffalon

Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

2021

Information algebras of coherent sets of gambles.

Jürg Kohlas, Arianna Casanova, Marco Zaffalon

CoRR, 2021

Information Algebras of Coherent Sets of Gambles in General Possibility Spaces.

Jürg Kohlas, Arianna Casanova, Marco Zaffalon

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Nonlinear Desirability as a Linear Classification Problem.

Arianna Casanova, Alessio Benavoli, Marco Zaffalon

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Algebras of Sets and Coherent Sets of Gambles.

Arianna Casanova, Jürg Kohlas, Marco Zaffalon

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020

Social Pooling of Beliefs and Values with Desirability.

Arianna Casanova, Enrique Miranda, Marco Zaffalon

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020