default search action
Manuele Leonelli
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j16]Manuele Leonelli, Gherardo Varando:
Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear. Appl. Intell. 54(2): 1734-1750 (2024) - [j15]Manuele Leonelli, Gherardo Varando:
Structural learning of simple staged trees. Data Min. Knowl. Discov. 38(3): 1520-1544 (2024) - [i21]Manuele Leonelli, Gherardo Varando:
Context-Specific Refinements of Bayesian Network Classifiers. CoRR abs/2405.18298 (2024) - [i20]Jack Storror Carter, Manuele Leonelli, Eva Riccomagno, Gherardo Varando:
Learning Staged Trees from Incomplete Data. CoRR abs/2405.18306 (2024) - [i19]Rafael Ballester-Ripoll, Manuele Leonelli:
Global Sensitivity Analysis of Uncertain Parameters in Bayesian Networks. CoRR abs/2406.05764 (2024) - [i18]Manuele Leonelli, Jim Q. Smith, Sophia K. Wright:
The diameter of a stochastic matrix: A new measure for sensitivity analysis in Bayesian networks. CoRR abs/2407.04667 (2024) - [i17]Manuele Leonelli:
bnRep: A repository of Bayesian networks from the academic literature. CoRR abs/2409.19158 (2024) - 2023
- [j14]Rafael Ballester-Ripoll
, Manuele Leonelli:
The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks. Int. J. Approx. Reason. 159: 108929 (2023) - [j13]Federico Carli, Manuele Leonelli, Gherardo Varando
A new class of generative classifiers based on staged tree models. Knowl. Based Syst. 268: 110488 (2023) - [j12]Manuele Leonelli, Ramsiya Ramanathan, Rachel L. Wilkerson
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package. Knowl. Based Syst. 278: 110882 (2023) - [c5]Manuele Leonelli, Gherardo Varando:
Context-Specific Causal Discovery for Categorical Data Using Staged Trees. AISTATS 2023: 8871-8888 - [i16]Manuele Leonelli, Gherardo Varando:
Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear. CoRR abs/2301.00629 (2023) - [i15]Rafael Ballester-Ripoll, Manuele Leonelli:
The YODO algorithm: An efficient computational framework for sensitivity analysis in Bayesian networks. CoRR abs/2302.00364 (2023) - [i14]Fabio Crimaldi, Manuele Leonelli:
AI and the creative realm: A short review of current and future applications. CoRR abs/2306.01795 (2023) - 2022
- [j11]Manuele Leonelli
A geometric characterization of sensitivity analysis in monomial models. Int. J. Approx. Reason. 151: 64-84 (2022) - [j10]Federico Carli, Manuele Leonelli
The R Package stagedtrees for Structural Learning of Stratified Staged Trees. J. Stat. Softw. 102(6) (2022) - [j9]Rafael Ballester-Ripoll
Computing Sobol indices in probabilistic graphical models. Reliab. Eng. Syst. Saf. 225: 108573 (2022) - [c4]Rafael Ballester-Ripoll
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks. PGM 2022: 169-180 - [c3]Manuele Leonelli, Gherardo Varando:
Highly Efficient Structural Learning of Sparse Staged Trees. PGM 2022: 193-204 - [i13]Manuele Leonelli, Gherardo Varando:
Structural Learning of Simple Staged Trees. CoRR abs/2203.04390 (2022) - [i12]Manuele Leonelli, Gherardo Varando:
Highly Efficient Structural Learning of Sparse Staged Trees. CoRR abs/2206.06970 (2022) - [i11]Rafael Ballester-Ripoll, Manuele Leonelli:
You Only Derive Once (YODO): Automatic Differentiation for Efficient Sensitivity Analysis in Bayesian Networks. CoRR abs/2206.08687 (2022) - 2021
- [i10]Manuele Leonelli, Gherardo Varando:
Context-Specific Causal Discovery for Categorical Data Using Staged Trees. CoRR abs/2106.04416 (2021) - [i9]Manuele Leonelli, Ramsiya Ramanathan, Rachel L. Wilkerson:
Sensitivity and robustness analysis in Bayesian networks with the bnmonitor R package. CoRR abs/2107.11785 (2021) - [i8]Gherardo Varando, Federico Carli, Manuele Leonelli:
Staged trees and asymmetry-labeled DAGs. CoRR abs/2108.01994 (2021) - [i7]Rafael Ballester-Ripoll, Manuele Leonelli:
Global sensitivity analysis in probabilistic graphical models. CoRR abs/2110.03749 (2021) - 2020
- [j8]Christiane Görgen, Manuele Leonelli:
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions. J. Mach. Learn. Res. 21: 84:1-84:32 (2020) - [j7]Manuele Leonelli
Coherent combination of probabilistic outputs for group decision making: an algebraic approach. OR Spectr. 42(2): 499-528 (2020) - [j6]Manuele Leonelli
Semiparametric bivariate modelling with flexible extremal dependence. Stat. Comput. 30(2): 221-236 (2020) - [i6]Federico Carli, Manuele Leonelli, Gherardo Varando:
A new class of generative classifiers based on staged tree models. CoRR abs/2012.13798 (2020)
2010 – 2019
- 2019
- [j5]Manuele Leonelli
Sensitivity analysis beyond linearity. Int. J. Approx. Reason. 113: 106-118 (2019) - [i5]Manuele Leonelli, Eva Riccomagno:
A geometric characterisation of sensitivity analysis in monomial models. CoRR abs/1901.02058 (2019) - 2018
- [i4]Christiane Görgen, Manuele Leonelli:
Model-Preserving Sensitivity Analysis for Families of Gaussian Distributions. CoRR abs/1809.10794 (2018) - 2017
- [j4]Manuele Leonelli
A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. Ann. Math. Artif. Intell. 81(3-4): 273-313 (2017) - [j3]Manuele Leonelli
Directed Expected Utility Networks. Decis. Anal. 14(2): 108-125 (2017) - [j2]Manuele Leonelli
Sensitivity analysis in multilinear probabilistic models. Inf. Sci. 411: 84-97 (2017) - 2016
- [i3]Manuele Leonelli, Eva Riccomagno, Jim Q. Smith:
A symbolic algebra for the computation of expected utilities in multiplicative influence diagrams. CoRR abs/1607.08485 (2016) - [i2]Manuele Leonelli, Jim Q. Smith:
Directed expected utility networks. CoRR abs/1608.00810 (2016) - 2015
- [j1]Manuele Leonelli
Bayesian decision support for complex systems with many distributed experts. Ann. Oper. Res. 235(1): 517-542 (2015) - [c2]Christiane Görgen, Manuele Leonelli
A Differential Approach for Staged Trees. ECSQARU 2015: 346-355 - [i1]Manuele Leonelli, Christiane Görgen, Jim Q. Smith:
Sensitivity analysis, multilinearity and beyond. CoRR abs/1512.02266 (2015) - 2013
- [c1]Manuele Leonelli
Using graphical models and multi-attribute utility theory for probabilistic uncertainty handling in large systems, with application to the nuclear emergency management. ICDE Workshops 2013: 181-192
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 19:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: