Marco Zaffalon
Orcid: 0000-0001-8908-1502
According to our database1,
Marco Zaffalon
authored at least 128 papers
between 1997 and 2024.
Collaborative distances:
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Online presence:
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Bibliography
2024
2023
Approximating counterfactual bounds while fusing observational, biased and randomised data sources.
Int. J. Approx. Reason., November, 2023
Mach. Learn., May, 2023
Int. J. Approx. Reason., 2023
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023
2022
Int. J. Approx. Reason., 2022
Int. J. Approx. Reason., 2022
Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data.
CoRR, 2022
Proceedings of the International Conference on Probabilistic Graphical Models, 2022
2021
Ann. Math. Artif. Intell., 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021
2020
Artif. Intell., 2020
Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the International Conference on Probabilistic Graphical Models, 2020
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020
2019
Comput. Stat. Data Anal., 2019
CoRR, 2019
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019
2018
Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets.
Int. J. Approx. Reason., 2018
Proceedings of the Uncertainty Modelling in Data Science, 2018
2017
Mach. Learn., 2017
Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis.
J. Mach. Learn. Res., 2017
J. Artif. Intell. Res., 2017
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017
Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017
2016
Int. J. Approx. Reason., 2016
Comput. Stat. Data Anal., 2016
Proceedings of the Soft Methods for Data Science, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the NIPS 2016 Workshop on Imperfect Decision Makers: Admitting Real-World Rationality, 2016
2015
Int. J. Approx. Reason., 2015
Approximate credal network updating by linear programming with applications to decision making.
Int. J. Approx. Reason., 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Comments on "Imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks" by Andrés R. Masegosa and Serafín Moral.
Int. J. Approx. Reason., 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables.
Artif. Intell., 2013
Proceedings of the 16th International Conference on Information Fusion, 2013
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013
2012
Int. J. Approx. Reason., 2012
Int. J. Approx. Reason., 2012
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012
2011
IEEE Trans. Autom. Control., 2011
2010
Int. J. Approx. Reason., 2010
Int. J. Approx. Reason., 2010
Int. J. Approx. Reason., 2010
Ann. Math. Artif. Intell., 2010
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010
2009
J. Artif. Intell. Res., 2009
Int. J. Approx. Reason., 2009
Proceedings of the 1st ACM SIGKDD Workshop on Knowledge Discovery from Uncertain Data, 2009
Proceedings of the Information Technologies in Environmental Engineering, 2009
Proceedings of the 12th International Conference on Information Fusion, 2009
Proceedings of the 12th International Conference on Information Fusion, 2009
2008
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2.
J. Mach. Learn. Res., 2008
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks.
Int. J. Approx. Reason., 2008
JNCC2: An extension of naive Bayes classifier suited for small and incomplete data sets.
Environ. Model. Softw., 2008
Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications.
Proceedings of The 2008 International Conference on Data Mining, 2008
2007
Int. J. Approx. Reason., 2007
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007
2006
Proceedings of the STAIRS 2006, 2006
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006
Proceedings of the Knowledge Discovery in Databases: PKDD 2006, 2006
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006
2005
Comput. Stat. Data Anal., 2005
Ann. Math. Artif. Intell., 2005
Conservative Rules for Predictive Inference with Incomplete Data.
Proceedings of the ISIPTA '05, 2005
Limits of Learning from Imperfect Observations under Prior Ignorance: the Case of the Imprecise Dirichlet Model.
Proceedings of the ISIPTA '05, 2005
2004
2003
Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data.
Artif. Intell. Medicine, 2003
Bayesian Treatment of Incomplete Discrete Data Applied to Mutual Information and Feature Selection.
Proceedings of the KI 2003: Advances in Artificial Intelligence, 2003
Preface: Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications.
Proceedings of the ISIPTA '03, 2003
2002
Proceedings of the UAI '02, 2002
2001
J. Intell. Manuf., 2001
Proceedings of the ISIPTA '01, 2001
Proceedings of the Artificial Intelligence Medicine, 2001
1999
Proceedings of the ISIPTA '99, Proceedings of the First International Symposium on Imprecise Probabilities and Their Applications, held at the Conference Center "Het Pand" of the Universiteit Gent, Ghent, Belgium, 29 June, 1999
1998
Artif. Intell., 1998
1997
Constraint Logic Programming and Integer Programming Approaches and Their Collaboration in Solving an Assignment Scheduling Problem.
Constraints An Int. J., 1997