Marco Zaffalon

165 papers A* 3A 4B 1C 6Misc 3Journal 103Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Connecting classical finite exchangeability to quantum theory and indistinguishability. Int. J. Approx. Reason. Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2025	—	`conf`	Counterfactual Inference Using Ordinary Differential Equations to Assess the Effect of Physical Activity on Type 2 Diabetes Onset. AIME (1) Marta Lenatti, Marco Zaffalon, Alessandro Antonucci, Pierluigi Francesco De Paola, Lea Multerer, Maurizio Mongelli, Alessia Paglialonga, Laura Azzimonti
2025	—	`conf`	The AI off-switch problem as a signalling game: bounded rationality and incomparability. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2025	J	`jnl`	The AI off-switch problem as a signalling game: bounded rationality and incomparability. CoRR Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2025	J	`jnl`	Why AI Safety Requires Uncertainty, Incomplete Preferences, and Non-Archimedean Utilities. CoRR Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2025	J	`jnl`	dynoGP: Deep Gaussian Processes for dynamic system identification. CoRR Alessio Benavoli, Dario Piga, Marco Forgione, Marco Zaffalon
2024	J	`jnl`	A Note on Bayesian Networks with Latent Root Variables. CoRR Marco Zaffalon, Alessandro Antonucci
2024	J	`jnl`	Efficient computation of counterfactual bounds. Int. J. Approx. Reason. Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
2024	—	`conf`	On the Limitations of Zero-Shot Classification of Causal Relations by LLMs. Text2Story@ECIR Vani Kanjirangat, Alessandro Antonucci, Marco Zaffalon
2023	J	`jnl`	Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources. CoRR Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber
2023	J	`jnl`	Approximating counterfactual bounds while fusing observational, biased and randomised data sources. Int. J. Approx. Reason. Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber
2023	—	`conf`	Closure operators, classifiers and desirability. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2023	J	`jnl`	Correlated product of experts for sparse Gaussian process regression. Mach. Learn. Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2023	J	`jnl`	Efficient Computation of Counterfactual Bounds. CoRR Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
2023	J	`jnl`	Nonlinear desirability as a linear classification problem. Int. J. Approx. Reason. Arianna Casanova, Alessio Benavoli, Marco Zaffalon
2023	J	`jnl`	Nonlinear desirability theory. Int. J. Approx. Reason. Enrique Miranda, Marco Zaffalon
2023	J	`jnl`	Tractable Bounding of Counterfactual Queries by Knowledge Compilation. CoRR David Huber, Yizuo Chen, Alessandro Antonucci, Adnan Darwiche, Marco Zaffalon
2023	J	`jnl`	Zero-shot Causal Graph Extrapolation from Text via LLMs. CoRR Alessandro Antonucci, Gregorio Piqué, Marco Zaffalon
2022	—	`conf`	Bounding Counterfactuals under Selection Bias. PGM Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
2022	J	`jnl`	Bounding Counterfactuals under Selection Bias. CoRR Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
2022	J	`jnl`	Information algebras in the theory of imprecise probabilities, an extension. Int. J. Approx. Reason. Arianna Casanova, Juerg Kohlas, Marco Zaffalon
2022	J	`jnl`	Information algebras in the theory of imprecise probabilities. Int. J. Approx. Reason. Arianna Casanova, Juerg Kohlas, Marco Zaffalon
2022	Misc	`conf`	Joint Desirability Foundations of Social Choice and Opinion Pooling. ISAIM Arianna Casanova, Enrique Miranda, Marco Zaffalon
2022	J	`jnl`	Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data. CoRR Marco Zaffalon, Alessandro Antonucci, David Huber, Rafael Cabañas
2022	J	`jnl`	Nonlinear desirability theory. CoRR Enrique Miranda, Marco Zaffalon
2022	J	`jnl`	Quantum indistinguishability through exchangeability. Int. J. Approx. Reason. Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2021	C	`conf`	Algebras of Sets and Coherent Sets of Gambles. ECSQARU Arianna Casanova, Jürg Kohlas, Marco Zaffalon
2021	J	`jnl`	Algebras of Sets and Coherent Sets of Gambles. CoRR Jürg Kohlas, Arianna Casanova, Marco Zaffalon
2021	J	`jnl`	Correlated Product of Experts for Sparse Gaussian Process Regression. CoRR Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2021	J	`jnl`	Desirability foundations of robust rational decision making. Synth. Marco Zaffalon, Enrique Miranda
2021	—	`conf`	Information Algebras of Coherent Sets of Gambles in General Possibility Spaces. ISIPTA Jürg Kohlas, Arianna Casanova, Marco Zaffalon
2021	J	`jnl`	Information algebras of coherent sets of gambles in general possibility spaces. CoRR Jürg Kohlas, Arianna Casanova, Marco Zaffalon
2021	J	`jnl`	Information algebras of coherent sets of gambles. CoRR Jürg Kohlas, Arianna Casanova, Marco Zaffalon
2021	J	`jnl`	Joint desirability foundations of social choice and opinion pooling. Ann. Math. Artif. Intell. Arianna Casanova, Enrique Miranda, Marco Zaffalon
2021	—	`conf`	Nonlinear Desirability as a Linear Classification Problem. ISIPTA Arianna Casanova, Alessio Benavoli, Marco Zaffalon
2021	—	`conf`	Quantum Indistinguishability through Exchangeable Desirable Gambles. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2021	—	`conf`	The Sure Thing. ISIPTA Marco Zaffalon, Enrique Miranda
2021	—	`conf`	Time Series Forecasting with Gaussian Processes Needs Priors. ECML/PKDD (4) Giorgio Corani, Alessio Benavoli, Marco Zaffalon
2020	J	`jnl`	Automatic Forecasting using Gaussian Processes. CoRR Giorgio Corani, Alessio Benavoli, João P. S. C. Augusto, Marco Zaffalon
2020	—	`conf`	CREDICI: A Java Library for Causal Inference by Credal Networks. PGM Rafael Cabañas, Alessandro Antonucci, David Huber, Marco Zaffalon
2020	—	`conf`	CREMA: A Java Library for Credal Network Inference. PGM David Huber, Rafael Cabañas, Alessandro Antonucci, Marco Zaffalon
2020	J	`jnl`	Compatibility, desirability, and the running intersection property. Artif. Intell. Enrique Miranda, Marco Zaffalon
2020	J	`jnl`	EM Based Bounding of Unidentifiable Queries in Structural Causal Models. CoRR Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
2020	J	`jnl`	Orthogonally Decoupled Variational Fourier Features. CoRR Dario Azzimonti, Manuel Schürch, Alessio Benavoli, Marco Zaffalon
2020	—	`conf`	Probabilistic Reconciliation of Hierarchical Forecast via Bayes' Rule. ECML/PKDD (3) Giorgio Corani, Dario Azzimonti, João P. S. C. Augusto, Marco Zaffalon
2020	J	`jnl`	Recursive estimation for sparse Gaussian process regression. Autom. Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2020	A	`conf`	Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference. WSDM Jaemin Yoo, U Kang, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2020	Misc	`conf`	Social Pooling of Beliefs and Values with Desirability. FLAIRS Arianna Casanova, Enrique Miranda, Marco Zaffalon
2020	—	`conf`	Structural Causal Models Are (Solvable by) Credal Networks. PGM Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
2020	J	`jnl`	Structural Causal Models Are (Solvable by) Credal Networks. CoRR Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
2019	—	`conf`	Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2019	J	`jnl`	Computational Complexity and the Nature of Quantum Mechanics (Extended version). CoRR Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2019	J	`jnl`	Computational Complexity and the Nature of Quantum Mechanics. CoRR Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2019	J	`jnl`	Hierarchical estimation of parameters in Bayesian networks. Comput. Stat. Data Anal. Laura Azzimonti, Giorgio Corani, Marco Zaffalon
2019	J	`jnl`	Recursive Estimation for Sparse Gaussian Process Regression. CoRR Manuel Schürch, Dario Azzimonti, Alessio Benavoli, Marco Zaffalon
2019	J	`jnl`	Sum-of-squares for bounded rationality. Int. J. Approx. Reason. Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
2018	J	`jnl`	Approximate structure learning for large Bayesian networks. Mach. Learn. Mauro Scanagatta, Giorgio Corani, Cassio Polpo de Campos, Marco Zaffalon
2018	—	`conf`	Compatibility, Coherence and the RIP. SMPS Enrique Miranda, Marco Zaffalon
2018	J	`jnl`	Efficient Learning of Bounded-Treewidth Bayesian Networks from Complete and Incomplete Data Sets. CoRR Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
2018	J	`jnl`	Efficient learning of bounded-treewidth Bayesian networks from complete and incomplete data sets. Int. J. Approx. Reason. Mauro Scanagatta, Giorgio Corani, Marco Zaffalon, Jaemin Yoo, U Kang
2018	J	`jnl`	Entropy-based pruning for learning Bayesian networks using BIC. Artif. Intell. Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2017	—	`conf`	A Polarity Theory for Sets of Desirable Gambles. ISIPTA Alessio Benavoli, Alessandro Facchini, Marco Zaffalon, José Vicente-Pérez
2017	J	`jnl`	Axiomatising Incomplete Preferences through Sets of Desirable Gambles. J. Artif. Intell. Res. Marco Zaffalon, Enrique Miranda
2017	J	`jnl`	Entropy-based Pruning for Learning Bayesian Networks using BIC. CoRR Cassio P. de Campos, Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2017	A*	`conf`	Hierarchical Multinomial-Dirichlet Model for the Estimation of Conditional Probability Tables. ICDM Laura Azzimonti, Giorgio Corani, Marco Zaffalon
2017	—	`conf`	Improved Local Search in Bayesian Networks Structure Learning. AMBN Mauro Scanagatta, Giorgio Corani, Marco Zaffalon
2017	—	`conf`	SOS for Bounded Rationality. ISIPTA Alessio Benavoli, Alessandro Facchini, Dario Piga, Marco Zaffalon
2017	J	`jnl`	Statistical comparison of classifiers through Bayesian hierarchical modelling. Mach. Learn. Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
2017	J	`jnl`	Time for a Change: a Tutorial for Comparing Multiple Classifiers Through Bayesian Analysis. J. Mach. Learn. Res. Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
2016	J	`jnl`	Bayesian network data imputation with application to survival tree analysis. Comput. Stat. Data Anal. Paola M. V. Rancoita, Marco Zaffalon, Emanuele Zucca, Francesco Bertoni, Cassio P. de Campos
2016	J	`jnl`	Conformity and independence with coherent lower previsions. Int. J. Approx. Reason. Enrique Miranda, Marco Zaffalon
2016	—	`conf`	Full Conglomerability, Continuity and Marginal Extension. SMPS Enrique Miranda, Marco Zaffalon
2016	J	`jnl`	Learning Bounded Treewidth Bayesian Networks with Thousands of Variables. CoRR Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
2016	—	`conf`	Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables. NIPS Mauro Scanagatta, Giorgio Corani, Cassio P. de Campos, Marco Zaffalon
2016	J	`jnl`	Learning extended tree augmented naive structures. Int. J. Approx. Reason. Cassio P. de Campos, Giorgio Corani, Mauro Scanagatta, Marco Cuccu, Marco Zaffalon
2016	—	`conf`	Quantum Rational Preferences and Desirability. IDM@NIPS Alessio Benavoli, Alessandro Facchini, Marco Zaffalon
2016	J	`jnl`	State Space representation of non-stationary Gaussian Processes. CoRR Alessio Benavoli, Marco Zaffalon
2016	J	`jnl`	Statistical comparison of classifiers through Bayesian hierarchical modelling. CoRR Giorgio Corani, Alessio Benavoli, Janez Demsar, Francesca Mangili, Marco Zaffalon
2016	J	`jnl`	Time for a change: a tutorial for comparing multiple classifiers through Bayesian analysis. CoRR Alessio Benavoli, Giorgio Corani, Janez Demsar, Marco Zaffalon
2015	A*	`conf`	A Bayesian nonparametric procedure for comparing algorithms. ICML Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon
2015	J	`jnl`	Approximate credal network updating by linear programming with applications to decision making. Int. J. Approx. Reason. Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
2015	—	`conf`	Bayesian Hypothesis Testing in Machine Learning. ECML/PKDD (3) Giorgio Corani, Alessio Benavoli, Francesca Mangili, Marco Zaffalon
2015	J	`jnl`	Desirability and the birth of incomplete preferences. CoRR Marco Zaffalon, Enrique Miranda
2015	—	`conf`	Learning Bayesian Networks with Thousands of Variables. NIPS Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon
2015	J	`jnl`	On the problem of computing the conglomerable natural extension. Int. J. Approx. Reason. Enrique Miranda, Marco Zaffalon
2014	A*	`conf`	A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. ICML Alessio Benavoli, Giorgio Corani, Francesca Mangili, Marco Zaffalon, Fabrizio Ruggeri
2014	J	`jnl`	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. Marco Zaffalon, Giorgio Corani
2014	J	`jnl`	Conservative Inference Rule for Uncertain Reasoning under Incompleteness. CoRR Marco Zaffalon, Enrique Miranda
2014	—	`conf`	Extended Tree Augmented Naive Classifier. Probabilistic Graphical Models Cassio P. de Campos, Marco Cuccu, Giorgio Corani, Marco Zaffalon
2014	—	`conf`	Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks. Probabilistic Graphical Models Mauro Scanagatta, Cassio P. de Campos, Marco Zaffalon
2014	J	`jnl`	Robust Feature Selection by Mutual Information Distributions. CoRR Marco Zaffalon, Marcus Hutter
2014	J	`jnl`	Updating with incomplete observations. CoRR Gert de Cooman, Marco Zaffalon
2013	C	`conf`	Approximating Credal Network Inferences by Linear Programming. ECSQARU Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
2013	C	`conf`	CREDO: A military decision-support system based on credal networks. FUSION Alessandro Antonucci, David Huber, Marco Zaffalon, Philippe Luginbuhl, Ian Chapman, Richard Ladouceur
2013	J	`jnl`	Conglomerable coherence. Int. J. Approx. Reason. Enrique Miranda, Marco Zaffalon
2013	J	`jnl`	On the complexity of solving polytree-shaped limited memory influence diagrams with binary variables. Artif. Intell. Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
2013	J	`jnl`	Probability and time. Artif. Intell. Marco Zaffalon, Enrique Miranda
2012	—	`conf`	Conglomerable Coherent Lower Previsions. SMPS Enrique Miranda, Marco Zaffalon
2012	J	`jnl`	Conglomerable natural extension. Int. J. Approx. Reason. Enrique Miranda, Marco Zaffalon, Gert de Cooman
2012	J	`jnl`	Evaluating credal classifiers by utility-discounted predictive accuracy. Int. J. Approx. Reason. Marco Zaffalon, Giorgio Corani, Denis Deratani Mauá
2012	J	`jnl`	Solving Limited Memory Influence Diagrams. J. Artif. Intell. Res. Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
2012	J	`jnl`	The Complexity of Approximately Solving Influence Diagrams CoRR Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
2012	A	`conf`	The Complexity of Approximately Solving Influence Diagrams. UAI Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
2012	J	`jnl`	Updating credal networks is approximable in polynomial time. Int. J. Approx. Reason. Denis Deratani Mauá, Cassio P. de Campos, Marco Zaffalon
2011	J	`jnl`	Independent natural extension. Artif. Intell. Gert de Cooman, Enrique Miranda, Marco Zaffalon
2011	J	`jnl`	Robust Filtering Through Coherent Lower Previsions. IEEE Trans. Autom. Control. Alessio Benavoli, Marco Zaffalon, Enrique Miranda
2011	J	`jnl`	Solving Limited Memory Influence Diagrams CoRR Denis Deratani Mauá, Cassio Polpo de Campos, Marco Zaffalon
2010	J	`jnl`	Epistemic irrelevance in credal nets: The case of imprecise Markov trees. Int. J. Approx. Reason. Gert de Cooman, Filip Hermans, Alessandro Antonucci, Marco Zaffalon
2010	J	`jnl`	Epistemic irrelevance in credal nets: the case of imprecise Markov trees CoRR Gert de Cooman, Filip Hermans, Alessandro Antonucci, Marco Zaffalon
2010	—	`conf`	Factorisation Properties of the Strong Product. SMPS Gert de Cooman, Enrique Miranda, Marco Zaffalon
2010	J	`jnl`	Generalized loopy 2U: A new algorithm for approximate inference in credal networks. Int. J. Approx. Reason. Alessandro Antonucci, Yi Sun, Cassio P. de Campos, Marco Zaffalon
2010	C	`conf`	Independent Natural Extension. IPMU Gert de Cooman, Enrique Miranda, Marco Zaffalon
2010	J	`jnl`	Inference and risk measurement with the pari-mutuel model. Int. J. Approx. Reason. Renato Pelessoni, Paolo Vicig, Marco Zaffalon
2010	J	`jnl`	Notes on desirability and conditional lower previsions. Ann. Math. Artif. Intell. Enrique Miranda, Marco Zaffalon
2009	J	`jnl`	Coherence graphs. Artif. Intell. Enrique Miranda, Marco Zaffalon
2009	J	`jnl`	Conservative Inference Rule for Uncertain Reasoning under Incompleteness. J. Artif. Intell. Res. Marco Zaffalon, Enrique Miranda
2009	J	`jnl`	Credal networks for military identification problems. Int. J. Approx. Reason. Alessandro Antonucci, Ralph Brühlmann, Alberto Piatti, Marco Zaffalon
2009	—	`conf`	Lazy naive credal classifier. KDD Workshop on Knowledge Discovery from Uncertain Data Giorgio Corani, Marco Zaffalon
2009	J	`jnl`	Limits of Learning about a Categorical Latent Variable under Prior Near-Ignorance CoRR Alberto Piatti, Marco Zaffalon, Fabio Trojani, Marcus Hutter
2009	J	`jnl`	Limits of learning about a categorical latent variable under prior near-ignorance. Int. J. Approx. Reason. Alberto Piatti, Marco Zaffalon, Fabio Trojani, Marcus Hutter
2009	C	`conf`	Multiple model tracking by imprecise markov trees. FUSION Alessandro Antonucci, Alessio Benavoli, Marco Zaffalon, Gert de Cooman, Filip Hermans
2009	C	`conf`	Reliable hidden Markov model filtering through coherent lower previsions. FUSION Alessio Benavoli, Marco Zaffalon, Enrique Miranda
2009	—	`conf`	Reproducing human decisions in reservoir management: the case of lake Lugano. ITEE Giorgio Corani, Andrea Emilio Rizzoli, A. Salvetti, Marco Zaffalon
2008	—	`conf`	Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities. ECML/PKDD (1) Giorgio Corani, Marco Zaffalon
2008	J	`jnl`	Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks. Int. J. Approx. Reason. Alessandro Antonucci, Marco Zaffalon
2008	J	`jnl`	JNCC2: An extension of naive Bayes classifier suited for small and incomplete data sets. Environ. Model. Softw. Giorgio Corani, Marco Zaffalon
2008	J	`jnl`	Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2. J. Mach. Learn. Res. Giorgio Corani, Marco Zaffalon
2008	—	`conf`	Naive credal classifier 2: an extension of naive Bayes for delivering robust classifications. DMIN Giorgio Corani, Marco Zaffalon
2007	—	`conf`	Credal Networks for Operational Risk Measurement and Management. KES (2) Alessandro Antonucci, Alberto Piatti, Marco Zaffalon
2007	J	`jnl`	Fast algorithms for robust classification with Bayesian nets. Int. J. Approx. Reason. Alessandro Antonucci, Marco Zaffalon
2007	J	`jnl`	Notes on "Notes on conditional previsions". Int. J. Approx. Reason. Paolo Vicig, Marco Zaffalon, Fábio Gagliardi Cozman
2006	—	`conf`	Binarization Algorithms for Approximate Updating in Credal Nets. STAIRS Alessandro Antonucci, Marco Zaffalon, Jaime Shinsuke Ide, Fábio Gagliardi Cozman
2006	—	`conf`	Classification of Dementia Types from Cognitive Profiles Data. PKDD Giorgio Corani, Chris Edgar, Isabelle Marshall, Keith Wesnes, Marco Zaffalon
2006	—	`conf`	Equivalence Between Bayesian and Credal Nets on an Updating Problem. SMPS Alessandro Antonucci, Marco Zaffalon
2006	—	`conf`	Locally specified credal networks. Probabilistic Graphical Models Alessandro Antonucci, Marco Zaffalon
2005	—	`conf`	Conservative Rules for Predictive Inference with Incomplete Data. ISIPTA Marco Zaffalon
2005	J	`jnl`	Credibility via imprecise probability. Int. J. Approx. Reason. Marco Zaffalon
2005	J	`jnl`	Credible classification for environmental problems. Environ. Model. Softw. Marco Zaffalon
2005	J	`jnl`	Distribution of mutual information from complete and incomplete data. Comput. Stat. Data Anal. Marcus Hutter, Marco Zaffalon
2005	J	`jnl`	Editorial: Imprecise probability perspectives on artificial intelligence. Ann. Math. Artif. Intell. Marco Zaffalon, Gert de Cooman
2005	—	`conf`	Fast Algorithms for Robust Classification with Bayesian Nets. ISIPTA Alessandro Antonucci, Marco Zaffalon
2005	—	`conf`	Limits of Learning from Imperfect Observations under Prior Ignorance: the Case of the Imprecise Dirichlet Model. ISIPTA Alberto Piatti, Marco Zaffalon, Fabio Trojani
2005	J	`jnl`	Robust Inference of Trees CoRR Marco Zaffalon, Marcus Hutter
2005	J	`jnl`	Robust inference of trees. Ann. Math. Artif. Intell. Marco Zaffalon, Marcus Hutter
2004	J	`jnl`	Distribution of Mutual Information from Complete and Incomplete Data CoRR Marcus Hutter, Marco Zaffalon
2004	J	`jnl`	Updating beliefs with incomplete observations. Artif. Intell. Gert de Cooman, Marco Zaffalon
2003	Misc	`conf`	Bayesian Treatment of Incomplete Discrete Data Applied to Mutual Information and Feature Selection. KI Marcus Hutter, Marco Zaffalon
2003	J	`jnl`	Bayesian Treatment of Incomplete Discrete Data applied to Mutual Information and Feature Selection CoRR Marcus Hutter, Marco Zaffalon
2003	—	`ed.`	ISIPTA '03, Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications, Lugano, Switzerland, July 14-17, 2003 ISIPTA Jean-Marc Bernard, Teddy Seidenfeld, Marco Zaffalon
2003	—	`conf`	Preface: Proceedings of the Third International Symposium on Imprecise Probabilities and Their Applications. ISIPTA Jean-Marc Bernard, Teddy Seidenfeld, Marco Zaffalon
2003	J	`jnl`	Reliable diagnoses of dementia by the naive credal classifier inferred from incomplete cognitive data. Artif. Intell. Medicine Marco Zaffalon, Keith Wesnes, Orlando Petrini
2003	J	`jnl`	Tree-Based Credal Networks for Classification. Reliab. Comput. Marco Zaffalon, Enrico Fagiuoli
2003	J	`jnl`	Updating beliefs with incomplete observations CoRR Gert de Cooman, Marco Zaffalon
2003	A	`conf`	Updating with incomplete observations. UAI Gert de Cooman, Marco Zaffalon
2002	J	`jnl`	Robust Feature Selection by Mutual Information Distributions CoRR Marco Zaffalon, Marcus Hutter
2002	A	`conf`	Robust Feature Selection by Mutual Information Distributions. UAI Marco Zaffalon, Marcus Hutter
2001	J	`jnl`	An optimization methodology for intermodal terminal management. J. Intell. Manuf. Luca Maria Gambardella, Monaldo Mastrolilli, Andrea Emilio Rizzoli, Marco Zaffalon
2001	B	`conf`	Credal Classification for Dementia Screening. AIME Marco Zaffalon, Keith Wesnes, Orlando Petrini
2001	—	`conf`	Robust discovery of tree-dependency structures. ISIPTA Marco Zaffalon
2001	—	`conf`	Statistical inference of the naive credal classifier. ISIPTA Marco Zaffalon
1999	—	`conf`	A Credal Approach to Naive Classification. ISIPTA Marco Zaffalon
1998	J	`jnl`	2U: An Exact Interval Propagation Algorithm for Polytrees with Binary Variables. Artif. Intell. Enrico Fagiuoli, Marco Zaffalon
1998	J	`jnl`	A note about redundancy in influence diagrams. Int. J. Approx. Reason. Enrico Fagiuoli, Marco Zaffalon
1998	J	`jnl`	Simulation and Planning of an Intermodal Container Terminal. Simul. Luca Maria Gambardella, Andrea Emilio Rizzoli, Marco Zaffalon
1997	J	`jnl`	Constraint Logic Programming and Integer Programming Approaches and Their Collaboration in Solving an Assignment Scheduling Problem. Constraints An Int. J. Ken Darby-Dowman, James Little, Gautam Mitra, Marco Zaffalon