Alessandro Antonucci

CoRR, 2024

Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors.

[BibT_eX]

[DOI]

CoRR, 2024

Safe Road-Crossing by Autonomous Wheelchairs: a Novel Dataset and its Experimental Evaluation.

[BibT_eX]

[DOI]

CoRR, 2024

A Note on Bayesian Networks with Latent Root Variables.

[BibT_eX]

[DOI]

CoRR, 2024

Safe Road-Crossing by Autonomous Wheelchairs: A Novel Dataset and Its Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2024 Workshops, 2024

On the Limitations of Zero-Shot Classification of Causal Relations by LLMs.

[BibT_eX]

[DOI]

Proceedings of Text2Story, 2024

2023

Approximating counterfactual bounds while fusing observational, biased and randomised data sources.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., November, 2023

Imprecise Probabilistic Model Checking for Stochastic Multi-agent Systems.

[BibT_eX]

[DOI]

SN Comput. Sci., September, 2023

Zero-shot Causal Graph Extrapolation from Text via LLMs.

[BibT_eX]

[DOI]

Gregorio Piqué

CoRR, 2023

Tractable Bounding of Counterfactual Queries by Knowledge Compilation.

[BibT_eX]

[DOI]

CoRR, 2023

Machine Learning Explanations by Surrogate Causal Models (MaLESCaMo).

[BibT_eX]

[DOI]

Alberto Termine

Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Probabilistic Modelling for Trustworthy Artificial Intelligence in Drone-Supported Autonomous Wheelchairs.

[BibT_eX]

[DOI]

Franca Corradini

Francesco Flammini

Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

Edge Labelling in Narrative Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of Text2Story, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Belief Revision in Sentential Decision Diagrams.

[BibT_eX]

[DOI]

CoRR, 2022

Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Software, 2022

Bounding Counterfactuals under Selection Bias.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Dalal's Revision in Sentential Decision Diagrams.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022

2021

ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks.

[BibT_eX]

[DOI]

Claudio Bonesana

Francesca Mangili

CoRR, 2021

Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption.

[BibT_eX]

[DOI]

CoRR, 2021

Uncertain reasoning.

[BibT_eX]

[DOI]

Salem Benferhat

Kamal Premaratne

Ann. Math. Artif. Intell., 2021

Robust Model Checking with Imprecise Markov Reward Models.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

CREPO: An Open Repository to Benchmark Credal Network Algorithms.

[BibT_eX]

[DOI]

Rafael Cabañas

Julissa Villanueva Llerena

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Logic and Model Checking by Imprecise Probabilistic Interpreted Systems.

[BibT_eX]

[DOI]

Proceedings of the Multi-Agent Systems - 18th European Conference, 2021

Cautious Classification with Data Missing Not at Random Using Generative Random Forests.

[BibT_eX]

[DOI]

Julissa Villanueva Llerena

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

A New Score for Adaptive Tests in Bayesian and Credal Networks.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020

Tractable inference in credal sentential decision diagrams.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2020

EM Based Bounding of Unidentifiable Queries in Structural Causal Models.

[BibT_eX]

[DOI]

Rafael Cabañas

CoRR, 2020

A Bayesian Approach to Conversational Recommendation Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Conversational Recommender System by Bayesian Methods.

[BibT_eX]

[DOI]

Francesca Mangili

Denis Broggini

Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Structural Causal Models Are (Solvable by) Credal Networks.

[BibT_eX]

[DOI]

Rafael Cabañas

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks.

[BibT_eX]

[DOI]

Heitor Ribeiro Reis

Gustavo Perez Katague

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

CREMA: A Java Library for Credal Network Inference.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

CREDICI: A Java Library for Causal Inference by Credal Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Relation Clustering in Narrative Knowledge Graphs.

[BibT_eX]

[DOI]

Simone Mellace

Proceedings of AI4Narratives, 2020

Temporal Word Embeddings for Narrative Understanding.

[BibT_eX]

[DOI]

Claudia Volpetti

Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Approximate MMAP by Marginal Search.

[BibT_eX]

[DOI]

Thomas Tiotto

Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Temporal Embeddings and Transformer Models for Narrative Text Understanding.

[BibT_eX]

[DOI]

Simone Mellace

Proceedings of Text2Story, 2020

2019

Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17).

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Credal Sentential Decision Diagrams.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Reliable Discretization of Deterministic Equations in Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning.

[BibT_eX]

[DOI]

Proceedings of Text2Story, 2019

2018

Imaginary Kinematics.

[BibT_eX]

[DOI]

Sabina Marchetti

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

A Credal Extension of Independent Choice Logic.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

Set-Valued Probabilistic Sentential Decision Diagrams.

[BibT_eX]

[DOI]

Proceedings of the 5th International Workshop on Probabilistic Logic Programming, 2018

Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks.

[BibT_eX]

[DOI]

Sabina Marchetti

Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

2017

Evaluating interval-valued influence diagrams.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

The multilabel naive credal classifier.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

Reliable Knowledge-Based Adaptive Tests by Credal Networks.

[BibT_eX]

[DOI]

Francesca Mangili

Claudio Bonesana

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016

Hidden Markov models with set-valued parameters.

[BibT_eX]

[DOI]

Cassio Polpo de Campos

Neurocomputing, 2016

Technical Gestures Recognition by Set-Valued Hidden Markov Models with Prior Knowledge.

[BibT_eX]

[DOI]

Yann Soullard

Sébastien Destercke

Proceedings of the Soft Methods for Data Science, 2016

2015

Robust classification of multivariate time series by imprecise hidden Markov models.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2015

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

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2015

Imprecision in Machine Learning and AI.

[BibT_eX]

[DOI]

Cassio P. de Campos

IEEE Intell. Informatics Bull., 2015

Variable Elimination for Interval-Valued Influence Diagrams.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014

Probabilistic Inference in Credal Networks: New Complexity Results.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2014

Credal ensembles of classifiers.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2014

Trading off Speed and Accuracy in Multilabel Classification.

[BibT_eX]

[DOI]

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014

Global Sensitivity Analysis for MAP Inference in Graphical Models.

[BibT_eX]

[DOI]

Jasper De Bock

Cassio P. de Campos

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.

[BibT_eX]

[DOI]

Alexander Karlsson

David Sundgren

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Algorithms for Hidden Markov Models with Imprecisely Specified Parameters.

[BibT_eX]

[DOI]

Cassio Polpo de Campos

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

On the Complexity of Strong and Epistemic Credal Networks.

[BibT_eX]

[DOI]

Cassio Polpo de Campos

Alessio Benavoli

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

An Ensemble of Bayesian Networks for Multilabel Classification.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2013, 2013

CREDO: A military decision-support system based on credal networks.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Information Fusion, 2013

Approximating Credal Network Inferences by Linear Programming.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

2012

Credal Classification based on AODE and compression coefficients

[BibT_eX]

[DOI]

CoRR, 2012

Likelihood-Based Robust Classification with Bayesian Networks.

[BibT_eX]

[DOI]

Marco E. G. V. Cattaneo

Proceedings of the Advances in Computational Intelligence, 2012

Compression-based AODE Classifiers.

[BibT_eX]

[DOI]

Rocco De Rosa

Proceedings of the ECAI 2012, 2012

An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics.

[BibT_eX]

[DOI]

Proceedings of the Belief Functions: Theory and Applications, 2012

2011

Time Series Classification by Imprecise Hidden Markov Models.

[BibT_eX]

[DOI]

Rocco De Rosa

Proceedings of the Neural Nets WIRN11, 2011

The imprecise noisy-OR gate.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Information Fusion, 2011

2010

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

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2010

An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks.

[BibT_eX]

[DOI]

Alessio Benavoli

Int. J. Approx. Reason., 2010

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

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2010

Credal Sets Approximation by Lower Probabilities: Application to Credal Networks.

[BibT_eX]

[DOI]

Fabio Cuzzolin

Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

2009

Credal networks for military identification problems.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2009

Modeling Unreliable Observations in Bayesian Networks by Credal Networks.

[BibT_eX]

[DOI]

Alberto Piatti

Proceedings of the Scalable Uncertainty Management, Third International Conference, 2009

Multiple model tracking by imprecise markov trees.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2008

2007

Fast algorithms for robust classification with Bayesian nets.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2007

Credal Networks for Operational Risk Measurement and Management.

[BibT_eX]

[DOI]

Alberto Piatti

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

2006

Binarization Algorithms for Approximate Updating in Credal Nets.

[BibT_eX]

[DOI]

Jaime Shinsuke Ide

Fábio Gagliardi Cozman

Proceedings of the STAIRS 2006, 2006

Equivalence Between Bayesian and Credal Nets on an Updating Problem.

[BibT_eX]

[DOI]

Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

Locally specified credal networks.

[BibT_eX]

[DOI]