Manuele Leonelli

51 papers A 1C 1Journal 44Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Estimating Staged Event Tree Models via Hierarchical Clustering on the Simplex. CoRR Muhammad Shoaib, Eva Riccomagno, Manuele Leonelli, Gherardo Varando
2025	J	`jnl`	Global sensitivity analysis of uncertain parameters in Bayesian networks. Int. J. Approx. Reason. Rafael Ballester-Ripoll, Manuele Leonelli
2025	J	`jnl`	Modeling Psychological Profiles in Volleyball via Mixed-Type Bayesian Networks. CoRR Maria Iannario, Dae-Jin Lee, Manuele Leonelli
2025	J	`jnl`	The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks. Int. J. Approx. Reason. Manuele Leonelli, Jim Q. Smith
2025	J	`jnl`	Understanding support for AI regulation: A Bayesian network perspective. CoRR Andrea Cremaschi, Dae-Jin Lee, Manuele Leonelli
2025	J	`jnl`	Will AI Take My Job? Evolving Perceptions of Automation and Labor Risk in Latin America. CoRR Andrea Cremaschi, Dae-Jin Lee, Manuele Leonelli
2025	J	`jnl`	bnRep: A repository of Bayesian networks from the academic literature. Neurocomputing Manuele Leonelli
2024	—	`conf`	Context-Specific Refinements of Bayesian Network Classifiers. PGM Manuele Leonelli, Gherardo Varando
2024	J	`jnl`	Context-Specific Refinements of Bayesian Network Classifiers. CoRR Manuele Leonelli, Gherardo Varando
2024	J	`jnl`	Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks. CoRR Rafael Ballester-Ripoll, Manuele Leonelli
2024	—	`conf`	Learning Staged Trees from Incomplete Data. PGM Jack Storror Carter, Manuele Leonelli, Eva Riccomagno, Gherardo Varando
2024	J	`jnl`	Learning Staged Trees from Incomplete Data. CoRR Jack Storror Carter, Manuele Leonelli, Eva Riccomagno, Gherardo Varando
2024	J	`jnl`	Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear. Appl. Intell. Manuele Leonelli, Gherardo Varando
2024	J	`jnl`	Structural learning of simple staged trees. Data Min. Knowl. Discov. Manuele Leonelli, Gherardo Varando
2024	J	`jnl`	The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks. CoRR Manuele Leonelli, Jim Q. Smith, Sophia K. Wright
2024	J	`jnl`	bnRep: A repository of Bayesian networks from the academic literature. CoRR Manuele Leonelli
2023	J	`jnl`	A new class of generative classifiers based on staged tree models. Knowl. Based Syst. Federico Carli, Manuele Leonelli, Gherardo Varando
2023	J	`jnl`	AI and the creative realm: A short review of current and future applications. CoRR Fabio Crimaldi, Manuele Leonelli
2023	A	`conf`	Context-Specific Causal Discovery for Categorical Data Using Staged Trees. AISTATS Manuele Leonelli, Gherardo Varando
2023	J	`jnl`	Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear. CoRR Manuele Leonelli, Gherardo Varando
2023	J	`jnl`	Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package. Knowl. Based Syst. Manuele Leonelli, Ramsiya Ramanathan, Rachel L. Wilkerson
2023	J	`jnl`	The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks. CoRR Rafael Ballester-Ripoll, Manuele Leonelli
2023	J	`jnl`	The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks. Int. J. Approx. Reason. Rafael Ballester-Ripoll, Manuele Leonelli
2022	J	`jnl`	A geometric characterization of sensitivity analysis in monomial models. Int. J. Approx. Reason. Manuele Leonelli, Eva Riccomagno
2022	J	`jnl`	Computing Sobol indices in probabilistic graphical models. Reliab. Eng. Syst. Saf. Rafael Ballester-Ripoll, Manuele Leonelli
2022	—	`conf`	Highly Efficient Structural Learning of Sparse Staged Trees. PGM Manuele Leonelli, Gherardo Varando
2022	J	`jnl`	Highly Efficient Structural Learning of Sparse Staged Trees. CoRR Manuele Leonelli, Gherardo Varando
2022	J	`jnl`	Structural Learning of Simple Staged Trees. CoRR Manuele Leonelli, Gherardo Varando
2022	J	`jnl`	The J. Stat. Softw. Federico Carli, Manuele Leonelli, Eva Riccomagno, Gherardo Varando
2022	—	`conf`	You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks. PGM Rafael Ballester-Ripoll, Manuele Leonelli
2022	J	`jnl`	You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks. CoRR Rafael Ballester-Ripoll, Manuele Leonelli
2021	J	`jnl`	Context-Specific Causal Discovery for Categorical Data Using Staged Trees. CoRR Manuele Leonelli, Gherardo Varando
2021	J	`jnl`	Global sensitivity analysis in probabilistic graphical models. CoRR Rafael Ballester-Ripoll, Manuele Leonelli
2021	J	`jnl`	Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package. CoRR Manuele Leonelli, Ramsiya Ramanathan, Rachel L. Wilkerson
2021	J	`jnl`	Staged trees and asymmetry-labeled DAGs. CoRR Gherardo Varando, Federico Carli, Manuele Leonelli
2020	J	`jnl`	A new class of generative classifiers based on staged tree models. CoRR Federico Carli, Manuele Leonelli, Gherardo Varando
2020	J	`jnl`	Coherent combination of probabilistic outputs for group decision making: an algebraic approach. OR Spectr. Manuele Leonelli, Eva Riccomagno, Jim Q. Smith
2020	J	`jnl`	Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions. J. Mach. Learn. Res. Christiane Görgen, Manuele Leonelli
2020	J	`jnl`	Semiparametric bivariate modelling with flexible extremal dependence. Stat. Comput. Manuele Leonelli, Dani Gamerman
2019	J	`jnl`	A geometric characterisation of sensitivity analysis in monomial models. CoRR Manuele Leonelli, Eva Riccomagno
2019	J	`jnl`	Sensitivity analysis beyond linearity. Int. J. Approx. Reason. Manuele Leonelli
2018	J	`jnl`	Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions. CoRR Christiane Görgen, Manuele Leonelli
2017	J	`jnl`	A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. Ann. Math. Artif. Intell. Manuele Leonelli, Eva Riccomagno, Jim Q. Smith
2017	J	`jnl`	Directed Expected Utility Networks. Decis. Anal. Manuele Leonelli, Jim Q. Smith
2017	J	`jnl`	Sensitivity analysis in multilinear probabilistic models. Inf. Sci. Manuele Leonelli, Christiane Görgen, Jim Q. Smith
2016	J	`jnl`	A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. CoRR Manuele Leonelli, Eva Riccomagno, Jim Q. Smith
2016	J	`jnl`	Directed expected utility networks. CoRR Manuele Leonelli, Jim Q. Smith
2015	C	`conf`	A Differential Approach for Staged Trees. ECSQARU Christiane Görgen, Manuele Leonelli, James Q. Smith
2015	J	`jnl`	Bayesian decision support for complex systems with many distributed experts. Ann. Oper. Res. Manuele Leonelli, James Q. Smith
2015	J	`jnl`	Sensitivity analysis, multilinearity and beyond. CoRR Manuele Leonelli, Christiane Görgen, Jim Q. Smith
2013	—	`conf`	Using graphical models and multi-attribute utility theory for probabilistic uncertainty handling in large systems, with application to the nuclear emergency management. ICDE Workshops Manuele Leonelli, James Q. Smith