Alessandro Antonucci

Orcid: 0000-0001-7915-2768

Affiliations:
  • Dalle Molle Institute for Artificial Intelligence, Manno-Lugano, Switzerland


According to our database1, Alessandro Antonucci authored at least 84 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
A Note on Bayesian Networks with Latent Root Variables.
CoRR, 2024

2023
Approximating counterfactual bounds while fusing observational, biased and randomised data sources.
Int. J. Approx. Reason., November, 2023

Imprecise Probabilistic Model Checking for Stochastic Multi-agent Systems.
SN Comput. Sci., September, 2023

Zero-shot Causal Graph Extrapolation from Text via LLMs.
CoRR, 2023

Tractable Bounding of Counterfactual Queries by Knowledge Compilation.
CoRR, 2023

Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering.
CoRR, 2023

Efficient Computation of Counterfactual Bounds.
CoRR, 2023

MementoHash: A Stateful, Minimal Memory, Best Performing Consistent Hash Algorithm.
CoRR, 2023

Machine Learning Explanations by Surrogate Causal Models (MaLESCaMo).
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Probabilistic Modelling for Trustworthy Artificial Intelligence in Drone-Supported Autonomous Wheelchairs.
Proceedings of the First International Symposium on Trustworthy Autonomous Systems, 2023

Edge Labelling in Narrative Knowledge Graphs.
Proceedings of Text2Story, 2023

2022
Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data.
CoRR, 2022

Belief Revision in Sentential Decision Diagrams.
CoRR, 2022

Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach.
Proceedings of the 30th International Conference on Software, 2022

Bounding Counterfactuals under Selection Bias.
Proceedings of the International Conference on Probabilistic Graphical Models, 2022

Dalal's Revision in Sentential Decision Diagrams.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics 2022 (ISAIM 2022), 2022

Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates.
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.
CoRR, 2021

Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption.
CoRR, 2021

Uncertain reasoning.
Ann. Math. Artif. Intell., 2021

Robust Model Checking with Imprecise Markov Reward Models.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

CREPO: An Open Repository to Benchmark Credal Network Algorithms.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Logic and Model Checking by Imprecise Probabilistic Interpreted Systems.
Proceedings of the Multi-Agent Systems - 18th European Conference, 2021

Cautious Classification with Data Missing Not at Random Using Generative Random Forests.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

A New Score for Adaptive Tests in Bayesian and Credal Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

2020
Tractable inference in credal sentential decision diagrams.
Int. J. Approx. Reason., 2020

EM Based Bounding of Unidentifiable Queries in Structural Causal Models.
CoRR, 2020

A Bayesian Approach to Conversational Recommendation Systems.
CoRR, 2020

Conversational Recommender System by Bayesian Methods.
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.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Structural Causal Models Are (Solvable by) Credal Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

CREMA: A Java Library for Credal Network Inference.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

CREDICI: A Java Library for Causal Inference by Credal Networks.
Proceedings of the International Conference on Probabilistic Graphical Models, 2020

Relation Clustering in Narrative Knowledge Graphs.
Proceedings of AI4Narratives, 2020

Temporal Word Embeddings for Narrative Understanding.
Proceedings of the ICMLC 2020: 2020 12th International Conference on Machine Learning and Computing, 2020

Approximate MMAP by Marginal Search.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Temporal Embeddings and Transformer Models for Narrative Text Understanding.
Proceedings of Text2Story, 2020

2019
Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17).
Int. J. Approx. Reason., 2019

Credal Sentential Decision Diagrams.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

Reliable Discretization of Deterministic Equations in Bayesian Networks.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning.
Proceedings of Text2Story, 2019

2018
Imaginary Kinematics.
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 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. Reason., 2017

The multilabel naive credal classifier.
Int. J. Approx. Reason., 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. Reason., 2015

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

Imprecision in Machine Learning and AI.
IEEE Intell. Informatics Bull., 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.
Comput. Stat. Data Anal., 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.
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. Reason., 2010

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

Generalized loopy 2U: A new algorithm for approximate inference in credal networks.
Int. J. Approx. Reason., 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. Reason., 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. Reason., 2008

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


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