Alessandro Antonucci

According to our database1, Alessandro Antonucci authored at least 47 papers between 2005 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2018
Imaginary Kinematics.
CoRR, 2018

A Credal Extension of Independent Choice Logic.
CoRR, 2018

Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks.
CoRR, 2018

A Credal Extension of Independent Choice Logic.
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

Set-Valued Probabilistic Sentential Decision Diagrams.
Proceedings of the 5th International Workshop on Probabilistic Logic Programming, 2018

Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017
Evaluating interval-valued influence diagrams.
Int. J. Approx. Reasoning, 2017

The multilabel naive credal classifier.
Int. J. Approx. Reasoning, 2017

Reliable Knowledge-Based Adaptive Tests by Credal Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016
Hidden Markov models with set-valued parameters.
Neurocomputing, 2016

Technical Gestures Recognition by Set-Valued Hidden Markov Models with Prior Knowledge.
Proceedings of the Soft Methods for Data Science, 2016

2015
Robust classification of multivariate time series by imprecise hidden Markov models.
Int. J. Approx. Reasoning, 2015

Approximate credal network updating by linear programming with applications to decision making.
Int. J. Approx. Reasoning, 2015

Imprecision in Machine Learning and AI.
IEEE Intelligent Informatics Bulletin, 2015

Variable Elimination for Interval-Valued Influence Diagrams.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
Probabilistic Inference in Credal Networks: New Complexity Results.
J. Artif. Intell. Res., 2014

Credal ensembles of classifiers.
Computational Statistics & Data Analysis, 2014

Trading off Speed and Accuracy in Multilabel Classification.
Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Global Sensitivity Analysis for MAP Inference in Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Decision Making with Hierarchical Credal Sets.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Algorithms for Hidden Markov Models with Imprecisely Specified Parameters.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
On the Complexity of Strong and Epistemic Credal Networks.
CoRR, 2013

On the Complexity of Strong and Epistemic Credal Networks.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

An Ensemble of Bayesian Networks for Multilabel Classification.
Proceedings of the IJCAI 2013, 2013

CREDO: A military decision-support system based on credal networks.
Proceedings of the 16th International Conference on Information Fusion, 2013

Approximating Credal Network Inferences by Linear Programming.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

2012
Credal Classification based on AODE and compression coefficients
CoRR, 2012

Likelihood-Based Robust Classification with Bayesian Networks.
Proceedings of the Advances in Computational Intelligence, 2012

Compression-based AODE Classifiers.
Proceedings of the ECAI 2012, 2012

An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
Time Series Classification by Imprecise Hidden Markov Models.
Proceedings of the Neural Nets WIRN11, 2011

The imprecise noisy-OR gate.
Proceedings of the 14th International Conference on Information Fusion, 2011

2010
Epistemic irrelevance in credal nets: The case of imprecise Markov trees.
Int. J. Approx. Reasoning, 2010

An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks.
Int. J. Approx. Reasoning, 2010

Generalized loopy 2U: A new algorithm for approximate inference in credal networks.
Int. J. Approx. Reasoning, 2010

Epistemic irrelevance in credal nets: the case of imprecise Markov trees
CoRR, 2010

Credal Sets Approximation by Lower Probabilities: Application to Credal Networks.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

2009
Credal networks for military identification problems.
Int. J. Approx. Reasoning, 2009

Modeling Unreliable Observations in Bayesian Networks by Credal Networks.
Proceedings of the Scalable Uncertainty Management, Third International Conference, 2009

Multiple model tracking by imprecise markov trees.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks.
Int. J. Approx. Reasoning, 2008

2007
Fast algorithms for robust classification with Bayesian nets.
Int. J. Approx. Reasoning, 2007

Credal Networks for Operational Risk Measurement and Management.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006
Binarization Algorithms for Approximate Updating in Credal Nets.
Proceedings of the STAIRS 2006, 2006

Equivalence Between Bayesian and Credal Nets on an Updating Problem.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

Locally specified credal networks.
Proceedings of the Third European Workshop on Probabilistic Graphical Models, 2006

2005
Fast Algorithms for Robust Classification with Bayesian Nets.
Proceedings of the ISIPTA '05, 2005


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