publications

2024

  1. Journal
    MementoHash: A Stateful, Minimal Memory, Best Performing Consistent Hash Algorithm
    Massimo Coluzzi, Amos Brocco, Alessandro Antonucci, and Tiziano Leidi
    IEEE/ACM Transactions on Networking, 2024
  2. Preprint
    A Note on Bayesian Networks with Latent Root Variables
    Marco Zaffalon, and Alessandro Antonucci
    Feb 2024
  3. Journal
    Efficient Computation of Counterfactual Bounds
    Marco ZaffalonAlessandro Antonucci, Rafael Cabañas, David Huber, and Dario Azzimonti
    International Journal of Approximate Reasoning, Jan 2024
  4. Proceedings
    On the Limitations of Zero-Shot Classification of Causal Relations by LLMs
    Vani KanjirangatAlessandro Antonucci, and Marco Zaffalon
    In Proceedings of Text2Story — Seventh Workshop on Narrative Extraction From Texts held in conjunction with the 46th European Conference on Information Retrieval (ECIR 2024), Mar 2024
  5. Workshop
    Learning Credal Conditional Probability Tables with Qualitative Knowledge
    Saurabh Mathur, Alessandro Antonucci, and Sriraam Natarajan
    Feb 2024
  6. Workshop
    Zero-shot Causal Graph Extrapolation from Text via LLMs
    Alessandro Antonucci, Gregorio Piqué, and Marco Zaffalon
    In First XAI4Sci Workshop on Explainable Machine Learning for Sciences co-located at AAAI 2024), Feb 2024

2023

  1. Journal
    Approximating counterfactual bounds while fusing observational, biased and randomised data sources
    Marco ZaffalonAlessandro Antonucci, Rafael Cabañas, and David Huber
    International Journal of Approximate Reasoning, Nov 2023
  2. Workshop
    Tractable Bounding of Counterfactual Queries by Knowledge Compilation
    David Huber, Yizuo Chen, Alessandro Antonucci, Adnan Darwiche, and Marco Zaffalon
    In Proceedings of the Sixth Workshop on Tractable Probabilistic Modeling (@UAI 2023), Aug 2023
  3. Proceedings
    Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering
    Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, and 1 more author
    In Proceedings of the 2023 International Conference on Machine Learning and Applications (ICMLA), Dec 2023
  4. Proceedings
    Probabilistic Modelling for Trustworthy Artificial Intelligence in Drone-Supported Autonomous Wheelchairs
    Franca Corradini, Francesco Flammini, and Alessandro Antonucci
    In Proceedings of the First International Symposium on Trustworthy Autonomous Systems, Jul 2023
  5. Journal
    Imprecise Probabilistic Model Checking for Stochastic Multi-agent Systems
    Alberto Termine, Alessandro Antonucci, Giuseppe Primiero, and Alessandro Facchini
    SN Computer Science, Jun 2023
  6. Proceedings
    Edge Labelling in Narrative Knowledge Graphs
    Vani Kanjirangat, and Alessandro Antonucci
    In Proceedings of Text2Story — Sixth Workshop on Narrative Extraction From Texts held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023), Apr 2023
  7. Journal
    Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment
    Giorgia Adorni, Francesca Mangili, Alberto Piatti, Claudio Bonesana, and Alessandro Antonucci
    Journal of Communications Software and Systems, Mar 2023
  8. Proceedings
    Machine Learning Explanations by Surrogate Causal Models (MaLESCaMo)
    Alberto Termine, Alessandro Antonucci, and Alessandro Facchini
    In Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the First World Conference on eXplainable Artificial Intelligence (xAI-2023), Jul 2023

2022

  1. Proceedings
    Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach
    Francesca Mangili, Giorgia Adorni, Alberto Piatti, Claudio Bonesana, and Alessandro Antonucci
    In 30th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2022, Sep 2022
  2. Proceedings
    Bounding Counterfactuals under Selection Bias
    Marco ZaffalonAlessandro Antonucci, Rafael Cabañas, David Huber, and Dario Azzimonti
    In Proceedings of The 11th International Conference on Probabilistic Graphical Models, Oct 2022
  3. Proceedings
    Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates
    Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, and Giorgia Adorni
    In Proceedings of Flairs-35, May 2022
  4. Preprint
    Belief Revision in Sentential Decision Diagrams
    Lilith Mattei, Alessandro Facchini, and Alessandro Antonucci
    Jan 2022

2021

  1. Workshop
    ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks
    Claudio Bonesana, Francesca Mangili, and Alessandro Antonucci
    In AI4EDU: Artificial Intelligence For Education (@ IJCAI2021), Jan 2021
    IJCAI2021 Workshop
  2. Proceedings
    Cautious Classification with Data Missing not at Random using Generative Random Forests
    Julissa V. Llerena, Denis. D. Mauá, and Alessandro Antonucci
    In Symbolic and Quantitative Approaches to Reasoning With Uncertainty, Sep 2021
  3. Proceedings
    CREPO: An Open Repository to Benchmark Credal Network Algorithms
    Rafael Cabañas, and Alessandro Antonucci
    In International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-2021), Sep 2021
  4. Proceedings
    Robust Model Checking with Imprecise Markov Reward Models
    Alberto Termine, Alessandro Antonucci, Alessandro Facchini, and Giuseppe Primiero
    In Proceedings of the Twelfth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA ’21), Sep 2021
  5. Proceedings
    Logic and Model Checking by Imprecise Probabilistic Interpreted Systems
    Alberto Termine, Alessandro Antonucci, Giuseppe Primiero, and Alessandro Facchini
    In European Conference on Multi-Agent Systems (EUMAS 2021), Sep 2021
  6. Proceedings
    A New score for Adaptive Tests in Bayesian and Credal Networks
    Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, and Giorgia Adorni
    In Symbolic and Quantitative Approaches to Reasoning With Uncertainty, Sep 2021
  7. Workshop
    Causal Expectation-Maximisation
    Marco ZaffalonAlessandro Antonucci, and Rafael Cabañas
    In WHY-21 Workshop (@ NeurIPS 2021), Dec 2021
  8. Workshop
    Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption
    Alessandro Antonucci, Alessandro Facchini, and Lilith Mattei
    In The Fourth Tractable Probabilistic Modelling Workshop (@ UAI 2021), Jul 2021

2020

  1. Proceedings
    Relation Clustering in Narrative Knowledge Graphs
    Simone Mellace, Vani Kanjirangat, and Alessandro Antonucci
    In Proceedings of AI4Narratives — Workshop on Artificial Intelligence for Narratives in conjunction with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI 2020), Jul 2020
  2. Proceedings
    SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces
    Vani Kanjirangat, Sandra Mitrovic, Alessandro Antonucci, and Fabio Rinaldi
    In Proceedings of the 14th International Workshop on Semantic Evaluation (SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection), Dec 2020
  3. Journal
    Tractable Inference in Credal Sentential Decision Diagrams
    Lilith Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, and Julissa Villanueva Llerena
    International Journal of Approximate Reasoning, Oct 2020
  4. Proceedings
    Approximate MMAP by Marginal Search
    Alessandro Antonucci, and Thomas Tiotto
    In Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference (FLAIRS-33), May 2020
  5. Proceedings
    Temporal Embeddings and Transformer Models for Narrative Text Understanding
    Vani Kanjirangat, Simone Mellace, and Alessandro Antonucci
    In Proceedings of Text2Story - Third Workshop on Narrative Extraction From Texts co-located with 42nd European Conference on Information Retrieval (ECIR 2020), Apr 2020
  6. Proceedings
    Temporal Word Embeddings for Narrative Understanding
    Claudia Claudia Volpetti, Vani Kanjirangat, and Alessandro Antonucci
    In Proceedings of the Twelfth International Conference on Machine Learning and Computing (ICMLC 2020), Feb 2020
    ISBN: 978-1-4503-7642-6
  7. Workshop
    A Bayesian Approach to Conversational Recommendation Systems
    Francesca Mangili, Denis Broggini, Alessandro Antonucci, Marco Alberti, and Lorenzo Cimasoni
    In AAAI 2020 Workshop on Interactive and Conversational Recommendation Systems (WICRS-20), Feb 2020
  8. Proceedings
    Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks
    Denis Deratani Mauà, Heitor Ribeiro, Gustavo Katague, and Alessandro Antonucci
    In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM 2020), Sep 2020
  9. Proceedings
    CREDICI: A Java Library for Causal Inference by Credal Networks
    Rafael Cabañas, Alessandro Antonucci, David Huber, and Marco Zaffalon
    In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM 2020), Sep 2020
  10. Proceedings
    CREMA: A Java Library for Credal Network Inference
    David Huber, Rafael Cabañas, Alessandro Antonucci, and Marco Zaffalon
    In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM 2020), Sep 2020
  11. Proceedings
    Structural Causal Models are (Solvable by) Credal Networks
    Marco ZaffalonAlessandro Antonucci, and Rafael Cabañas
    In Proceedings of the 10th International Conference on Probabilistic Graphical Models (PGM 2020), Sep 2020
  12. Proceedings
    Learning Probabilistic Sentential Decision Diagrams by Sampling
    Renato Geh, Denis Deratani Mauá, and Alessandro Antonucci
    In Proceedings of the Eight Symposium on Knowledge Discovery, Mining and Learning (KMILE), Oct 2020
  13. Proceedings
    Conversational Recommender System by Bayesian Methods
    Francesca Mangili, Denis Broggini, and Alessandro Antonucci
    In Proceedings of the Fourteenth International Conference on Scalable Uncertainty Management (SUM 2020), Sep 2020

2019

  1. Proceedings
    Credal Sentential Decision Diagrams
    Alessandro Antonucci, Alessandro Facchini, and Lilith Mattei
    In Proceedings of the Eleventh International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA ’19), Jul 2019
  2. Workshop
    Exploring the Space of Probabilistic Sentential Decision Diagrams
    Lilith Mattei, Décio L. Soares, Alessandro Antonucci, Denis Deratani Mauà, and Alessandro Facchini
    In Proceedings of the third Tractable Probabilistic Modeling Workshop, 36th International Conference on Machine Learning, June 2019, Jun 2019
  3. Proceedings
    Reliable Discretisation of Deterministic Equations in Bayesian Networks
    Alessandro Antonucci
    In Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference (FLAIRS-32), Jun 2019
  4. Proceedings
    NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning
    Vani Kanjirangat, and Alessandro Antonucci
    In Proceedings of Text2Story - Second Workshop on Narrative Extraction From Texts co-located with 41th European Conference on Information Retrieval (ECIR 2019), Jun 2019

2018

  1. Proceedings
    Imaginary Kinematics
    Sabina Marchetti, and Alessandro Antonucci
    In UAI 2018: Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, Jun 2018
  2. Journal
    Modeling Deterministic Equations in Discrete Bayesian Networks by Credal Networks
    Alessandro Antonucci
    Journal of Physics: Conference Series, Jun 2018
  3. Proceedings
    Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks
    Sabina Marchetti, and Alessandro Antonucci
    In Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference (FLAIRS-31), Jun 2018
  4. Proceedings
    A linear programming based approach for evaluating interval-valued influence diagrams
    Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, and Alessandro Antonucci
    In XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial., Jun 2018
  5. Proceedings
    Set-Valued Probabilistic Sentential Decision Diagrams
    Alessandro Antonucci, and Alessandro Facchini
    In Proceedings of the 5th International Workshop on Probabilistic Logic Programming co-located with the 28th International Conference on Inductive Logic Programming (ILP 2018), Jun 2018
  6. Proceedings
    A Credal Extension of Independent Choice Logic
    Alessandro Antonucci, and Alessandro Facchini
    In Scalable Uncertainty Management (SUM 2018): Proceedings of the Twelfth International Conference on Scalable Uncertainty Management), Jun 2018

2017

  1. Journal
    Evaluating Interval-valued Influence Diagrams
    Rafael Cabañas, Alessandro Antonucci, Andrés Cano, and Manuel Gómez-Olmedo
    International Journal of Approximate Reasoning, Jan 2017
  2. Proceedings
    Reliable Knowledge-Based Adaptive Tests by Credal Networks
    Francesca Mangili, Claudio Bonesana, and Alessandro Antonucci
    In Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Jun 2017
  3. Journal
    The Multilabel Naive Credal Classifier
    Alessandro Antonucci, and Giorgio Corani
    International Journal of Approximate Reasoning, Apr 2017

2016

  1. Proceedings
    Technical Gestures Recognition by Set-valued Hidden Markov Models with Prior Knowledge
    Yann Soullard, Alessandro Antonucci, and Sébastien Destercke
    In Soft Methods for Data Science (SMPS 2016: Proceedings of the Eight International Conference on Soft Methods in Probability and Statistics), Sep 2016
  2. Proceedings
    Adaptive Testing by Bayesian Networks with Application to Language Assessment
    Francesca Mangili, Claudio Bonesana, Alessandro AntonucciMarco Zaffalon, Elisa Rubegni, and 1 more author
    In ITS 2016: Intelligent Tutoring Systems: 13th International Conference, Jun 2016
  3. Journal
    Hidden Markov models with set-valued parameters
    Denis Deratani Mauá, Alessandro Antonucci, and Cassio Polpo Campos
    Neurocomputing, Mar 2016

2015

  1. Journal
    Approximate Credal Network Updating by Linear Programming with Applications to Decision Making
    Alessandro Antonucci, Cassio Polpo Campos, David Huber, and Marco Zaffalon
    International Journal of Approximate Reasoning, Mar 2015
  2. Journal
    Imprecision in Machine Learning and AI
    Cassio Polpo Campos, and Alessandro Antonucci
    The IEEE Intelligent Informatics Bulletin, Dec 2015
  3. Workshop
    Early Classification of Time Series by Hidden Markov Models with Set-valued Parameters
    Alessandro Antonucci, Mauro Scanagatta, Denis Deratani Mauá, and Cassio Polpo Campos
    In Proceedings of the NIPS Time Series Workshop 2015, Dec 2015
  4. Inproceedings
    The Multilabel Naive Credal Classifier
    Alessandro Antonucci, and Giorgio Corani
    In ISIPTA ’15: Proceedings of the Ninth International Symposium on Imprecise Probability: Theories and Applications, Jul 2015
  5. Proceedings
    Variable Elimination for Interval-valued Influence Diagrams
    Rafael Cabañas, Alessandro Antonucci, Andrés Cano, and Manuel Gómez-Olmedo
    In ECSQARU 2013: Proceedings of the 13th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Jul 2015
  6. Journal
    Robust Classification of Multivariate Time Series by Imprecise Hidden Markov Models
    Alessandro Antonucci, Rocco Rosa, Alessandro Giusti, and Fabio Cuzzolin
    International Journal of Approximate Reasoning, Jul 2015

2014

  1. Proceedings
    Algorithms for Hidden Markov Models with Imprecisely Specified Parameters
    Denis Deratani Mauá, Cassio Polpo Campos, and Alessandro Antonucci
    In BRACIS 2014: Proceedings of the Brazilian Conference on Intelligent Systems, Oct 2014
  2. Journal
    Probabilistic Inference in Credal Networks: New Complexity Results
    Denis Deratani Mauá, Cassio Polpo Campos, Alessio Benavoli, and Alessandro Antonucci
    Journal of Artificial Intelligence Research, Oct 2014
  3. Journal
    Credal ensembles of classifiers
    G. Corani, and A. Antonucci
    Computational Statistics & Data Analysis, Mar 2014
  4. Proceedings
    Global Sensitivity Analysis for MAP Inference in Graphical Models
    Jasper De Bock, Cassio Polpo Campos, and Alessandro Antonucci
    In Advances in Neural Information Processing Systems 27 (NIPS 2014), Dec 2014
  5. Proceedings
    Trading Off Speed and Accuracy in Multilabel Classification
    Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, and Sandra Gabaglio
    In PGM ’14: Proceedings of the Seventh European Workshop on Probabilistic Graphical Models, Sep 2014
  6. Proceedings
    Decision Making with Hierarchical Credal Sets
    Alessandro Antonucci, Alexander Karlsson, and David Sundgren
    In Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jul 2014

2013

  1. Proceedings
    On the Complexity of Strong and Epistemic Credal Networks
    Denis Deratani Mauá, Cassio Polpo Campos, Alessio Benavoli, and Alessandro Antonucci
    In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence, Jul 2013
  2. Proceedings
    CREDO: A Military Decision-Support System Based on Credal Networks
    Alessandro Antonucci, David Huber, Marco Zaffalon, Philippe Luginbühl, Ian Chapman, and 1 more author
    In Proceedings of the 16th Conference on Information Fusion (FUSION 2013), Jul 2013
  3. Proceedings
    An Ensemble of Bayesian Networks for Multilabel Classification
    Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, and Sandra Gabaglio
    In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13), Aug 2013
  4. Proceedings
    Temporal Data Classification by Imprecise Dynamical Models
    Alessandro Antonucci, Rocco Rosa, Alessandro Giusti, and Fabio Cuzzolin
    In ISIPTA ’13: Proceedings of the Eighth International Symposium on Imprecise Probability: Theories and Applications, Aug 2013
  5. Proceedings
    Approximating Credal Network Inferences by Linear Programming
    Alessandro Antonucci, Cassio Polpo Campos, David Huber, and Marco Zaffalon
    In Proceedings of the 12th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Jul 2013

2012

  1. Proceedings
    Active Learning by the Naive Credal Classifier
    Alessandro Antonucci, Giorgio Corani, and Sandra Gabaglio
    In Proceeding of the sixth European Workshop on Probabilistic Graphical Models (PGM 2012), Jul 2012
  2. ECAI
    Compression-based AODE Classifiers
    Giorgio Corani, Alessandro Antonucci, and Rocco Rosa
    In Proceedings 20th European Conference on Artificial Intelligence (ECAI 2012), Aug 2012
  3. Proceedings
    An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics
    Alessandro Antonucci
    In Belief Functions: Theory and Applications - Proceedings of the 2nd International Conference on Belief Functions, May 2012
  4. Proceedings
    Likelihood-Based Robust Classification with Bayesian Networks
    Alessandro Antonucci, Marco Cattaneo, and Giorgio Corani
    In Advances in Computational Intelligence, Jul 2012

2011

  1. Proceedings
    Decision Making by Credal Nets
    Alessandro Antonucci, and Cassio Polpo Campos
    In Proceedings of the International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2011), Aug 2011
  2. Proceedings
    Likelihood-Based Naive Hierarchical Credal Classifier
    Alessandro Antonucci, Marco Cattaneo, and Giorgio Corani
    In ISIPTA ’11: Proceedings of the seventh International Symposium on Imprecise Probability: Theories and Applications, Jul 2011
  3. Proceedings
    The Imprecise Noisy-OR Gate
    Alessandro Antonucci
    In FUSION 2011: Proceedings of the 14th International Conference on Information Fusion, Jul 2011
  4. Proceedings
    Action Recognition by Imprecise Hidden Markov Models
    Alessandro Antonucci, Rocco Rosa, and Alessandro Giusti
    In Proceedings of the 2011 International Conference on Image Processing, Computer Vision and Pattern Recognition, IPCV 2011, Jul 2011

2010

  1. Journal
    An Aggregation Framework Based on Coherent Lower Previsions: Application to Zadeh’s Paradox and Sensor Networks
    Alessio Benavoli, and Alessandro Antonucci
    International Journal of Approximate Reasoning, Nov 2010
  2. Journal
    Epistemic Irrelevance in Credal Nets: The Case of Imprecise Markov trees
    Gert Cooman, Filip Hermans, Alessandro Antonucci, and Marco Zaffalon
    International Journal of Approximate Reasoning, Nov 2010
  3. Journal
    Generalized Loopy 2U: A New Algorithm for Approximate Inference in Credal Networks
    Alessandro Antonucci, Sun Yi, Cassio Polpo Campos, and Marco Zaffalon
    International Journal of Approximate Reasoning, Jan 2010
  4. Chapter
    Building Knowledge-based Expert Systems: A Tutorial
    Alberto Piatti, Alessandro Antonucci, and Marco Zaffalon
    In Advances in Mathematics Research, Jan 2010
  5. Proceedings
    Credal Sets Approximation by Lower Probabilities: Application to Credal Networks
    Alessandro Antonucci, and Fabio Cuzzolin
    In Computational Intelligence for Knowledge-Based Systems Design, 13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Jun 2010

2009

  1. Proceedings
    Modeling Unreliable Observations in Bayesian Networks by Credal Networks
    Alessandro Antonucci, and Alberto Piatti
    In Scalable Uncertainty Management, Third International Conference, SUM 2009, Jun 2009
  2. Proceedings
    Multiple Model Tracking by Imprecise Markov Trees
    Alessandro Antonucci, Alessio Benavoli, Marco Zaffalon, Gert Cooman, and Filip Hermans
    In FUSION 2009: Proceedings of the 12th International Conference on Information Fusion, Jun 2009
  3. Journal
    Credal Networks for Military Identification Problems
    Alessandro Antonucci, Ralph Brühlmann, Alberto Piatti, and Marco Zaffalon
    International Journal of Approximate Reasoning, Apr 2009
  4. Proceedings
    Epistemic Irrelevance in Credal Networks: The Case of Imprecise Markov Trees
    Gert Cooman, Filip Hermans, Alessandro Antonucci, and Marco Zaffalon
    In ISIPTA ’09: Proceedings of the Sixth International Symposium on Imprecise Probability: Theories and Applications, Apr 2009
  5. Proceedings
    Aggregating Imprecise Probabilistic Knowledge
    Alessio Benavoli, and Alessandro Antonucci
    In Proceedings of the Sixth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’09), Jul 2009

2008

  1. Journal
    Decision-Theoretic Specification of Credal Networks: A Unified Language for Uncertain Modeling with Sets of Bayesian Networks
    Alessandro Antonucci, and Marco Zaffalon
    International Journal of Approximate Reasoning, Oct 2008
  2. PhD Thesis
    Imprecise Probabilistic Graphical Models: Equivalent Representations, Inference Algorithms and Applications
    Alessandro Antonucci
    Università della Svizzera Italiana, Apr 2008
  3. Proceedings
    Spatially Distributed Identification of Debris Flow Source Areas by Credal Networks
    Andrea Salvetti, Alessandro Antonucci, and Marco Zaffalon
    In iEMSs 2008: International Congress on Environmental Modelling and Software Integrating Sciences and Information Technology for Environmental Assessment and Decision Making (Transactions of the 4th Biennial Meeting of the International Environmental Modelling and Software Society), Apr 2008
  4. Proceedings
    Generalized Loopy 2U: A New Algorithm for Approximate Inference in Credal Networks
    Alessandro AntonucciMarco Zaffalon, Sun Yi, and Cassio Polpo Campos
    In PGM’08: Proceedings of the Fourth European Workshop on Probabilistic Graphical Models, Sep 2008

2007

  1. Journal
    Fast Algorithms for Robust Classification with Bayesian Nets
    Alessandro Antonucci, and Marco Zaffalon
    International Journal of Approximate Reasoning, Mar 2007
  2. Proceedings
    Credal Networks for Operational Risk Measurement and Management
    Alessandro Antonucci, Alberto Piatti, and Marco Zaffalon
    In Proceedings of the 11th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems: KES2007, Lectures Notes in Computer Science, Sep 2007
  3. Proceedings
    Credal Networks for Military Identification Problems
    Alessandro Antonucci, Ralph Brühlmann, Alberto Piatti, and Marco Zaffalon
    In ISIPTA ’07: Proceedings of the fifth International Symposium on on Imprecise Probability: Theories and Applications, Jul 2007
  4. Chapter
    Credal Networks for Hazard Assessment of Debris Flows
    Alessandro Antonucci, Andrea Salvetti, and Marco Zaffalon
    Jul 2007

2006

  1. Proceedings
    Equivalence between Bayesian and Credal Nets on an Updating Problem
    Alessandro Antonucci, and Marco Zaffalon
    In Proceedings of third international conference on Soft Methods in Probability and Statistics (SMPS-2006), Sep 2006
  2. Proceedings
    Binarization Algorithms for Approximate Updating in Credal Nets
    Alessandro AntonucciMarco Zaffalon, Jaime S. Ide, and Fabio Gagliardi Cozman
    In STAIRS’06: Proceedings of the third European Starting AI Researcher Symposium, Aug 2006
  3. Proceedings
    Locally Specified Credal Networks
    Alessandro Antonucci, and Marco Zaffalon
    In PGM’06: Proceedings of the third European Workshop on Probabilistic Graphical Models, Sep 2006
  4. Proceedings
    Fast Algorithms for Robust Classification with Bayesian Nets
    Alessandro Antonucci, and Marco Zaffalon
    In ISIPTA ’06: Proceedings of the fourth International Symposium on Imprecise Probabilities and Their Applications, Sep 2006

2004

  1. Proceedings
    Assessing Debris Flow Hazard by Credal Nets
    Alessandro Antonucci, Andrea Salvetti, and Marco Zaffalon
    In Proceedings of the Second International Conference on Soft Methods in Probability and Statistics (SMPS-2004) - Soft Methodology and Random Information Systems, Sep 2004
  2. Proceedings
    Hazard Assessment of Debris Flows by Credal Networks
    Alessandro Antonucci, Andrea Salvetti, and Marco Zaffalon
    In iEMSs 2004: Complexity and Integrated Resources Management, Transactions of the 2nd Biennial Meeting of the International Environmental Modelling and Software Society, Jun 2004

edited books and journal issues

2021

  1. Journal
    Uncertain reasoning
    Alessandro Antonucci, Salem Benferhat, and Kamal Premaratne
    2021
    Annals of Mathematics and Artificial Intelligence (Springer), Volume 89, issue 10-11

2020

  1. Journal
    Special Issue on the Tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA ’17)
    Alessandro Antonucci, Giorgio Corani, Inés Couso, and Sébastien Destercke
    2020
    International Journal of Approximate Reasoning (Elsevier)

2019

  1. Journal
    Special Issue on the Fourteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2017)
    Alessandro Antonucci, Laurence Cholvy, and Odile Papini
    2019
    International Journal of Approximate Reasoning (Elsevier)

2018

  1. Journal
    Special Issue on the Eighth Edition of the International Conference on Probabilistic Graphical Models (PGM 2016)
    Alessandro Antonucci, Giorgio Corani, and Cassio Polpo Campos
    2018
    International Journal of Approximate Reasoning (Elsevier)

2017

  1. Proceedings
    Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10-14, 2017, Proceedings
    Alessandro Antonucci, Laurence Cholvy, and Odile Papini
    2017
    Lecture Notes in Computer Science 10369 (Springer)
  2. Procedings
    Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10-14 July 2017
    Alessandro Antonucci, Giorgio Corani, Inés Couso, and Sébastien Destercke
    2017
    Proceedings of Machine Learning Research (PMLR, 62)

2016

  1. Proceedings
    Proceedings of the Eight International Conference on Probabilistic Graphical Models, Lugano, Switzerland, 6-9 Septermber 2016
    Alessandro Antonucci, Giorgio Corani, and Cassio Polpo Campos
    2016
    Proceedings of Machine Learning Research (PMLR 52)