Marco Zaffalon

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Distribution of mutual information from complete and incomplete data

Marco Zaffalon, Marcus Hutter, Marcus Hutter, 2004, Comput. Stat. Data Anal..

Utility-Based Accuracy Measures to Empirically Evaluate Credal Classifiers

Marco Zaffalon, Giorgio Corani, 2011 .

The naive credal classifier

Marco Zaffalon, 2002 .

Conservative Inference Rule for Uncertain Reasoning under Incompleteness

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2009, J. Artif. Intell. Res..

Exact credal treatment of missing data

Marco Zaffalon, 2002 .

Building Knowledge-based Systems by Credal Networks: a Tutorial

Marco Zaffalon, Alessandro Antonucci, Alberto Piatti, 2010 .

Discovering Subgroups of Patients from DNA Copy Number Data Using NMF on Compacted Matrices

Marco Zaffalon, P. Rancoita, E. Zucca, 2013, PloS one.

Credal Sets 2 . 1 Definition and Relation with Lower Previsions

Marco Zaffalon, Alessandro Antonucci, Cassio P. de Campos, 2014 .

Reliable survival analysis based on the Dirichlet process

Marco Zaffalon, A. Benavoli, F. Mangili, 2015, Biometrical journal. Biometrische Zeitschrift.

Impact on place of death in cancer patients: a causal exploration in southern Switzerland

Marco Zaffalon, Giorgio Corani, Nicola Vermes, 2020, BMC Palliative Care.

Impact on place of death in cancer patients: a causal exploration in southern Switzerland

Marco Zaffalon, Giorgio Corani, Nicola Vermes, 2020, BMC Palliative Care.

Bayesian Networks with Imprecise Probabilities: Theory and Application to Classification

Marco Zaffalon, Giorgio Corani, Alessandro Antonucci, 2012 .

Bayes + Hilbert = Quantum Mechanics

Marco Zaffalon, Alessandro Facchini, A. Benavoli, 2016 .

A Gleason-Type Theorem for Any Dimension Based on a Gambling Formulation of Quantum Mechanics

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2016, Foundations of Physics.

Dispersion-free probability measures are incoherent

Marco Zaffalon, Alessandro Facchini, A. Benavoli, 2016 .

Quantum mechanics: The Bayesian theory generalized to the space of Hermitian matrices

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2016, 1605.08177.

Full conglomerability

Marco Zaffalon, Enrique Miranda, 2017 .

Prior near ignorance for inferences in the k-parameter exponential family

Marco Zaffalon, Alessio Benavoli, Marco Zaffalon, 2015 .

A Model of Prior Ignorance for Inferences in the One-parameter Exponential Family

Marco Zaffalon, Alessio Benavoli, Marco Zaffalon, 2012 .

Planning and optimisation of vehicle routes for fuel oil distribution

Roberto Montemanni, Luca Maria Gambardella, Marco Zaffalon, 2003 .

Conditional models: Coherence and inference through sequences of joint mass functions

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2010 .

A discussion on learning and prior ignorance for sets of priors in the one-parameter exponential family

Marco Zaffalon, A. Benavoli, 2011 .

Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule

Marco Zaffalon, Giorgio Corani, Dario Azzimonti, 2020, ECML/PKDD.

Bernstein's socks and polynomial-time provable coherence

Marco Zaffalon, Alessandro Facchini, A. Benavoli, 2019, 1903.04406.

Computing the Conglomerable Natural Extension

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2013 .

SOS FOR BOUNDED RATIONALITY SOS for bounded rationality

Marco Zaffalon, D. Piga, A. Benavoli, 2017 .

Impact on place of death in cancer patients: a causal exploration in southern Switzerland

Marco Zaffalon, Giorgio Corani, Nicola Vermes, 2020 .

Axiomatising Incomplete Preferences through Sets of Desirable Gambles

Marco Zaffalon, Enrique Miranda, 2017, Journal of Artificial Intelligence Research.

Nonlinear desirability theory

Marco Zaffalon, Enrique Miranda, 2022, 2209.00686.

Quantum indistinguishability through exchangeability

Marco Zaffalon, Alessandro Facchini, A. Benavoli, 2022, Int. J. Approx. Reason..

Learning from imperfect observations with prior ignorance: the curious case of the imprecise Dirichlet model

Marco Zaffalon, Alberto Piatti, F. Trojani, 2005 .

Statistical inference of the naive credal classifier

Marco Zaffalon, Marco Zaffalon, 2001, ISIPTA.

Managing resource allocation, scheduling and simulation for an intermodal container terminal

Luca Maria Gambardella, Andrea Emilio Rizzoli, Marco Zaffalon, 2002 .

A Fully Polynomial Time Approximation Scheme for Updating Credal Networks of Bounded Treewidth and Number of Variable States

Marco Zaffalon, Cassio Polpo de Campos, 2011 .

A Gleason-Type Theorem for Any Dimension Based on a Gambling Formulation of Quantum Mechanics

Marco Zaffalon, Alessandro Facchini, A. Benavoli, 2017, Foundations of Physics.

Nonlinear desirability theory

Marco Zaffalon, Enrique Miranda, 2022, Int. J. Approx. Reason..

Desirability foundations of robust rational decision making

Marco Zaffalon, Enrique Miranda, 2018, Synthese.

Approximate structure learning for large Bayesian networks

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2018, Machine Learning.

Probabilistic graphical models

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2014 .

Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2

Marco Zaffalon, Giorgio Corani, Marco Zaffalon, 2008, J. Mach. Learn. Res..

Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection

Marco Zaffalon, Marcus Hutter, Marcus Hutter, 2003, KI.

The Sure Thing

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2021, ISIPTA.

Bayesian network data imputation with application to survival tree analysis

Marco Zaffalon, Francesco Bertoni, Cassio Polpo de Campos, 2016, Comput. Stat. Data Anal..

Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis pdf

Marco Zaffalon, Alessio Benavoli, Janez Demsar, 2016, J. Mach. Learn. Res..

Constraint Logic Programming and Integer Programming approaches and their collaboration in solving an assignment scheduling problem

Gautam Mitra, Marco Zaffalon, James Little, 1997, Constraints.

Robust Feature Selection by Mutual Information Distributions

Marco Zaffalon, Marcus Hutter, Marcus Hutter, 2002, UAI.

Spatially Distributed Identification of Debris Flow Source Areas by Credal Networks

Marco Zaffalon, Alessandro Antonucci, Andrea Salvetti, 2008 .

Credal Networks for Hazard Assessment of Debris Flows

Marco Zaffalon, Alessandro Antonucci, Andrea Salvetti, 2007 .

Hazard Assessment of Debris Flows by Credal Networks.

Marco Zaffalon, Andrea Salvetti, Marco Zaffalon, 2004 .

Assessing Debris Flow Hazard by Credal Nets

Marco Zaffalon, Alessandro Antonucci, Andrea Salvetti, 2004 .

Sum-of-squares for bounded rationality

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2019, Int. J. Approx. Reason..

Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2019, ISIPTA.

Desirability foundations of robust rational decision making

Marco Zaffalon, Enrique Miranda, 2018, Synthese.

Axiomatising Incomplete Preferences through Sets of Desirable Gambles

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2017, J. Artif. Intell. Res..

On the problem of computing the conglomerable natural extension

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2015, Int. J. Approx. Reason..

Probability and time

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2013, Artif. Intell..

Coherence graphs

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2009, Artif. Intell..

Updating beliefs with incomplete observations

Gert de Cooman, Marco Zaffalon, Marco Zaffalon, 2003, Artif. Intell..

Nonlinear Desirability as a Linear Classification Problem

Marco Zaffalon, Alessio Benavoli, Arianna Casanova, 2022, ISIPTA.

Approximate credal network updating by linear programming with applications to decision making

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2015, Int. J. Approx. Reason..

Epistemic irrelevance in credal nets: The case of imprecise Markov trees

Gert de Cooman, Filip Hermans, Marco Zaffalon, 2010, Int. J. Approx. Reason..

Independent natural extension

Gert de Cooman, Marco Zaffalon, Enrique Miranda, 2010, Artif. Intell..

Generalized loopy 2U: A new algorithm for approximate inference in credal networks

Yi Sun, Marco Zaffalon, Alessandro Antonucci, 2010, Int. J. Approx. Reason..

Reliable hidden Markov model filtering through coherent lower previsions

Marco Zaffalon, Alessio Benavoli, Enrique Miranda, 2009, 2009 12th International Conference on Information Fusion.

Lazy naive credal classifier

Marco Zaffalon, Giorgio Corani, Marco Zaffalon, 2009, U '09.

Credal networks for military identification problems

Marco Zaffalon, Alessandro Antonucci, Alberto Piatti, 2009, Int. J. Approx. Reason..

JNCC2: The Java Implementation Of Naive Credal Classifier 2

Marco Zaffalon, Giorgio Corani, Marco Zaffalon, 2008 .

Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks

Marco Zaffalon, Alessandro Antonucci, Marco Zaffalon, 2008, Int. J. Approx. Reason..

Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities

Marco Zaffalon, Giorgio Corani, Marco Zaffalon, 2008, ECML/PKDD.

Credal Networks for Operational Risk Measurement and Management

Marco Zaffalon, Alessandro Antonucci, Alberto Piatti, 2007, KES.

Equivalence Between Bayesian and Credal Nets on an Updating Problem

Marco Zaffalon, Alessandro Antonucci, Marco Zaffalon, 2006, SMPS.

Robust inference of trees

Marco Zaffalon, Marcus Hutter, Marcus Hutter, 2005, Annals of Mathematics and Artificial Intelligence.

Credible classification for environmental problems

Marco Zaffalon, Marco Zaffalon, 2005, Environ. Model. Softw..

Conservative Rules for Predictive Inference with Incomplete Data

Marco Zaffalon, Marco Zaffalon, 2005, ISIPTA.

Tree-Based Credal Networks for Classification

Enrico Fagiuoli, Marco Zaffalon, Marco Zaffalon, 2003, Reliab. Comput..

Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data

Marco Zaffalon, Keith Wesnes, Orlando Petrini, 2003, Artif. Intell. Medicine.

Conglomerable natural extension

Gert de Cooman, Marco Zaffalon, Enrique Miranda, 2012, Int. J. Approx. Reason..

Joint desirability foundations of social choice and opinion pooling

Marco Zaffalon, Enrique Miranda, Arianna Casanova, 2021, Annals of Mathematics and Artificial Intelligence.

Social Pooling of Beliefs and Values with Desirability

Marco Zaffalon, Enrique Miranda, Arianna Casanova, 2020, FLAIRS.

An optimization methodology for intermodal terminal management

Luca Maria Gambardella, Andrea Emilio Rizzoli, Marco Zaffalon, 2001, J. Intell. Manuf..

Simulation and Planning of an Intermodal Container Terminal

Luca Maria Gambardella, Andrea Emilio Rizzoli, Marco Zaffalon, 1998, Simul..

Why we should interpret density matrices as moment matrices: the case of (in)distinguishable particles and the emergence of classical reality

Marco Zaffalon, Alessandro Facchini, A. Benavoli, 2022, 2203.04124.

A Bayesian Wilcoxon signed-rank test based on the Dirichlet process

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2014, ICML.

The Weirdness Theorem and the Origin of Quantum Paradoxes

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2021, Foundations of Physics.

Computational Complexity and the Nature of Quantum Mechanics (Extended version) pdf

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2019, ArXiv.

Computational Complexity and the Nature of Quantum Mechanics pdf

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2019, ArXiv.

Fast algorithms for robust classification with Bayesian nets

Marco Zaffalon, Alessandro Antonucci, Marco Zaffalon, 2007, Int. J. Approx. Reason..

Binarization Algorithms for Approximate Updating in Credal Nets

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Marco Zaffalon, 2006, STAIRS.

Time Series Forecasting with Gaussian Processes Needs Priors

Marco Zaffalon, Giorgio Corani, A. Benavoli, 2020, ECML/PKDD.

Connecting classical finite exchangeability to quantum theory

Marco Zaffalon, Alessandro Facchini, A. Benavoli, 2023, 2306.03869.

Hierarchical estimation of parameters in Bayesian networks

Marco Zaffalon, Laura Azzimonti, Giorgio Corani, 2019, Comput. Stat. Data Anal..

Compatibility, desirability, and the running intersection property

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2020, Artif. Intell..

On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2013, Artif. Intell..

A note about redundancy in influence diagrams

Enrico Fagiuoli, Marco Zaffalon, Marco Zaffalon, 1998, Int. J. Approx. Reason..

Recursive Estimation for Sparse Gaussian Process Regression pdf

Marco Zaffalon, Alessio Benavoli, Dario Azzimonti, 2019, Autom..

Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2016, NIPS.

Marco Zaffalon, Alessio Benavoli, Dario Azzimonti, 2021, Machine Learning.

Statistical comparison of classifiers through Bayesian hierarchical modelling

Marco Zaffalon, Francesca Mangili, Alessio Benavoli, 2016, Machine Learning.

Financial Valuation and Risk Management Working Paper No . 337 Limits of Learning from Imperfect Observations under Prior Ignorance : The Case of the Imprecise Dirichlet Model

Marco Zaffalon, Alberto Piatti, Fabio Trojani, 2005 .

Reproducing human decisions in reservoir management: the case of lake Lugano

Andrea Emilio Rizzoli, Marco Zaffalon, Giorgio Corani, 2009, ITEE.

Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets pdf

Marco Zaffalon, Giorgio Corani, Mauro Scanagatta, 2018, Int. J. Approx. Reason..

RESOURCE ALLOCATION AND SCHEDULING OF OPERATIONS IN AN INTERMODAL TERMINAL

Luca Maria Gambardella, Andrea Emilio Rizzoli, Marco Zaffalon, 1998 .

Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference

Marco Zaffalon, Giorgio Corani, Mauro Scanagatta, 2020, WSDM.

CREMA: A Java Library for Credal Network Inference

Marco Zaffalon, Rafael Cabañas, David Huber, 2020, PGM.

Structural Causal Models Are (Solvable by) Credal Networks pdf

Marco Zaffalon, Alessandro Antonucci, Rafael Cabanas, 2020, PGM.

2U: An Exact Interval Propagation Algorithm for Polytrees with Binary Variables

Enrico Fagiuoli, Marco Zaffalon, Marco Zaffalon, 1998, Artif. Intell..

Information algebras of coherent sets of gambles in general possibility spaces pdf

Marco Zaffalon, Arianna Casanova, Juerg Kohlas, 2021, ISIPTA.

Information algebras in the theory of imprecise probabilities

Marco Zaffalon, Arianna Casanova, Juerg Kohlas, 2021, Int. J. Approx. Reason..

Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks

Marco Zaffalon, Cassio Polpo de Campos, Mauro Scanagatta, 2014, Probabilistic Graphical Models.

Orthogonally Decoupled Variational Fourier Features pdf

Marco Zaffalon, Alessio Benavoli, Dario Azzimonti, 2020, ArXiv.

Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule

Marco Zaffalon, Giorgio Corani, Dario Azzimonti, 2019, ECML/PKDD.

Evaluating credal classifiers by utility-discounted predictive accuracy

Denis Deratani Mauá, Marco Zaffalon, Giorgio Corani, 2012, Int. J. Approx. Reason..

Credal Classification for Dementia Screening

Marco Zaffalon, Keith Wesnes, Orlando Petrini, 2001, AIME.

Statistical comparison of classiﬁers through Bayesianhierarchical modelling

Janez Demšar, Marco Zaffalon, Francesca Mangili, 2016 .

Learning Bayesian Networks with Thousands of Variables

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2015, NIPS.

Improved Local Search in Bayesian Networks Structure Learning

Marco Zaffalon, Giorgio Corani, Mauro Scanagatta, 2017, AMBN.

Algebras of Sets and Coherent Sets of Gambles

Marco Zaffalon, Arianna Casanova, Juerg Kohlas, 2021, ECSQARU.

Reconciling Hierarchical Forecasts via Bayes' Rule.

Marco Zaffalon, Giorgio Corani, Dario Azzimonti, 2019 .

Causal Expectation-Maximisation

Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, 2020, 2011.02912.

Limits of Learning about a Categorical Latent Variable under Prior Near-Ignorance pdf

Marco Zaffalon, Marcus Hutter, Alberto Piatti, 2007, Int. J. Approx. Reason..

Solving Limited Memory Influence Diagrams

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2011, J. Artif. Intell. Res..

Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources

Marco Zaffalon, Alessandro Antonucci, David Huber, 2023, International Journal of Approximate Reasoning.

Learning to Bound Counterfactual Inference from Observational, Biased and Randomised Data

Marco Zaffalon, Alessandro Antonucci, David Huber, 2022, 2212.02932.

Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data

Marco Zaffalon, Alessandro Antonucci, David Huber, 2022, arXiv.org.

Efficient Computation of Counterfactual Bounds

Marco Zaffalon, Alessandro Antonucci, David Huber, 2023, ArXiv.

Tractable Bounding of Counterfactual Queries by Knowledge Compilation

Marco Zaffalon, Alessandro Antonucci, David Huber, 2023, ArXiv.

Bounding Counterfactuals under Selection Bias

Marco Zaffalon, Alessandro Antonucci, David Huber, 2022, PGM.

CREDICI: A Java Library for Causal Inference by Credal Networks

Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, 2020, PGM.

Compatibility, Coherence and the RIP

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2018, SMPS.

Conglomerable coherence

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2013, Int. J. Approx. Reason..

Extended Tree Augmented Naive Classifier

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2014, Probabilistic Graphical Models.

Quantum Indistinguishability through Exchangeable Desirable Gambles

Marco Zaffalon, Alessio Benavoli, Alessandro Facchini, 2021, ISIPTA.

Robust Filtering Through Coherent Lower Previsions

Marco Zaffalon, Alessio Benavoli, Enrique Miranda, 2011, IEEE Transactions on Automatic Control.

Inference and risk measurement with the pari-mutuel model

Marco Zaffalon, Renato Pelessoni, Paolo Vicig, 2010, Int. J. Approx. Reason..

Notes on "Notes on conditional previsions"

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Marco Zaffalon, 2007, Int. J. Approx. Reason..

Updating with incomplete observations pdf

Gert de Cooman, Marco Zaffalon, Marco Zaffalon, 2002, UAI.

SIMULATION FOR THE EVALUATION OF OPTIMISED OPERATIONS POLICIES IN A CONTAINER TERMINAL

A. E. Rizzoli, M. Zaffalon, L. Gambardella, 1999 .

Entropy-based Pruning for Learning Bayesian Networks using BIC

Marco Zaffalon, Giorgio Corani, Cassio Polpo de Campos, 2017, Artif. Intell..

Probabilistic graphical models

Marco Zaffalon, Cassio Polpo de Campos, Alessandro Antonucci, 2014 .

Epistemic irrelevance in credal nets: The case of imprecise Markov trees

Marco Zaffalon, G. Cooman, Alessandro Antonucci, 2010, Int. J. Approx. Reason..

Conformity and independence with coherent lower previsions

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2016, Int. J. Approx. Reason..

Desirability and the birth of incomplete preferences

Marco Zaffalon, Enrique Miranda, 2015, ArXiv.

Independent products in infinite spaces

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2015 .

Notes on desirability and conditional lower previsions

Marco Zaffalon, Enrique Miranda, Marco Zaffalon, 2010, Annals of Mathematics and Artificial Intelligence.

Updating credal networks is approximable in polynomial time

Denis Deratani Mauá, Marco Zaffalon, Cassio Polpo de Campos, 2012, Int. J. Approx. Reason..