Locally specified credal networks. - Alessandro Antonucci 001; Marco Zaffalon (Probabilistic Graphical Models, 2006)

Equivalence Between Bayesian and Credal Nets on an Updating Problem. - Alessandro Antonucci 001; Marco Zaffalon (SMPS, 2006)

Binarization Algorithms for Approximate Updating in Credal Nets. - Alessandro Antonucci 001; Marco Zaffalon; Jaime Shinsuke Ide; Fábio Gagliardi Cozman (STAIRS, 2006)

Credal Networks for Operational Risk Measurement and Management. - Alessandro Antonucci 001; Alberto Piatti; Marco Zaffalon (KES (2), 2007)

Fast algorithms for robust classification with Bayesian nets. - Alessandro Antonucci 001; Marco Zaffalon (Int. J. Approx. Reason., 2007)

Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks. - Alessandro Antonucci 001; Marco Zaffalon (Int. J. Approx. Reason., 2008)

Multiple model tracking by imprecise markov trees. - Alessandro Antonucci 001; Alessio Benavoli; Marco Zaffalon; Gert de Cooman; Filip Hermans (FUSION, 2009)

Modeling Unreliable Observations in Bayesian Networks by Credal Networks. - Alessandro Antonucci 001; Alberto Piatti (SUM, 2009)

Credal networks for military identification problems. - Alessandro Antonucci 001; Ralph Brühlmann; Alberto Piatti; Marco Zaffalon (Int. J. Approx. Reason., 2009)

Credal Sets Approximation by Lower Probabilities: Application to Credal Networks. - Alessandro Antonucci 001; Fabio Cuzzolin (IPMU, 2010)

Generalized loopy 2U: A new algorithm for approximate inference in credal networks. - Alessandro Antonucci 001; Yi Sun; Cassio P. de Campos; Marco Zaffalon (Int. J. Approx. Reason., 2010)

An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks. - Alessio Benavoli; Alessandro Antonucci 001 (Int. J. Approx. Reason., 2010)

Epistemic irrelevance in credal nets: The case of imprecise Markov trees. - Gert de Cooman; Filip Hermans; Alessandro Antonucci 001; Marco Zaffalon (Int. J. Approx. Reason., 2010)

The imprecise noisy-OR gate. - Alessandro Antonucci 001 (FUSION, 2011)

Time Series Classification by Imprecise Hidden Markov Models. - Alessandro Antonucci 001; Rocco De Rosa (WIRN, 2011)

An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics. - Alessandro Antonucci 001 (Belief Functions, 2012)

Compression-based AODE Classifiers. - Giorgio Corani; Alessandro Antonucci 001; Rocco De Rosa (ECAI, 2012)

Likelihood-Based Robust Classification with Bayesian Networks. - Alessandro Antonucci 001; Marco E. G. V. Cattaneo; Giorgio Corani (IPMU (3), 2012)

Credal Classification based on AODE and compression coefficients - Giorgio Corani; Alessandro Antonucci 001 (CoRR, 2012)

Approximating Credal Network Inferences by Linear Programming. - Alessandro Antonucci 001; Cassio P. de Campos; David Huber 001; Marco Zaffalon (ECSQARU, 2013)

CREDO: A military decision-support system based on credal networks. - Alessandro Antonucci 001; David Huber 001; Marco Zaffalon; Philippe Luginbuhl; Ian Chapman; Richard Ladouceur (FUSION, 2013)

An Ensemble of Bayesian Networks for Multilabel Classification. - Alessandro Antonucci 001; Giorgio Corani; Denis Deratani Mauá; Sandra Gabaglio (IJCAI, 2013)

On the Complexity of Strong and Epistemic Credal Networks. - Denis Deratani Mauá; Cassio Polpo de Campos; Alessio Benavoli; Alessandro Antonucci 001 (UAI, 2013)

Algorithms for Hidden Markov Models with Imprecisely Specified Parameters. - Denis Deratani Mauá; Cassio Polpo de Campos; Alessandro Antonucci 001 (BRACIS, 2014)

Decision Making with Hierarchical Credal Sets. - Alessandro Antonucci 001; Alexander Karlsson; David Sundgren (IPMU (3), 2014)

Global Sensitivity Analysis for MAP Inference in Graphical Models. - Jasper De Bock; Cassio P. de Campos; Alessandro Antonucci 001 (NIPS, 2014)

Trading off Speed and Accuracy in Multilabel Classification. - Giorgio Corani; Alessandro Antonucci 001; Denis Deratani Mauá; Sandra Gabaglio (Probabilistic Graphical Models, 2014)

Credal ensembles of classifiers. - Giorgio Corani; Alessandro Antonucci 001 (Comput. Stat. Data Anal., 2014)

Probabilistic Inference in Credal Networks: New Complexity Results. - Denis Deratani Mauá; Cassio P. de Campos; Alessio Benavoli; Alessandro Antonucci 001 (J. Artif. Intell. Res., 2014)

Variable Elimination for Interval-Valued Influence Diagrams. - Rafael Cabañas 001; Alessandro Antonucci 001; Andrés Cano; Manuel Gómez-Olmedo (ECSQARU, 2015)

Imprecision in Machine Learning and AI. - Cassio P. de Campos; Alessandro Antonucci 001 (IEEE Intell. Informatics Bull., 2015)

Approximate credal network updating by linear programming with applications to decision making. - Alessandro Antonucci 001; Cassio P. de Campos; David Huber 001; Marco Zaffalon (Int. J. Approx. Reason., 2015)

Robust classification of multivariate time series by imprecise hidden Markov models. - Alessandro Antonucci 001; Rocco De Rosa; Alessandro Giusti; Fabio Cuzzolin (Int. J. Approx. Reason., 2015)

Technical Gestures Recognition by Set-Valued Hidden Markov Models with Prior Knowledge. - Yann Soullard; Alessandro Antonucci 001; Sébastien Destercke (SMPS, 2016)

Hidden Markov models with set-valued parameters. - Denis Deratani Mauá; Alessandro Antonucci 001; Cassio Polpo de Campos (Neurocomputing, 2016)

Reliable Knowledge-Based Adaptive Tests by Credal Networks. - Francesca Mangili; Claudio Bonesana; Alessandro Antonucci 001 (ECSQARU, 2017)

The multilabel naive credal classifier. - Alessandro Antonucci 001; Giorgio Corani (Int. J. Approx. Reason., 2017)

Evaluating interval-valued influence diagrams. - Rafael Cabañas 001; Alessandro Antonucci 001; Andrés Cano; Manuel Gómez-Olmedo (Int. J. Approx. Reason., 2017)

Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks. - Sabina Marchetti; Alessandro Antonucci 001 (FLAIRS, 2018)

Set-Valued Probabilistic Sentential Decision Diagrams. - Alessandro Antonucci 001; Alessandro Facchini (PLP@ILP, 2018)

A Credal Extension of Independent Choice Logic. - Alessandro Antonucci 001; Alessandro Facchini (SUM, 2018)

Imaginary Kinematics. - Sabina Marchetti; Alessandro Antonucci 001 (UAI, 2018)

NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning. - Vani Kanjirangat; Alessandro Antonucci 001 (Text2Story@ECIR, 2019)

Reliable Discretization of Deterministic Equations in Bayesian Networks. - Alessandro Antonucci 001 (FLAIRS, 2019)

Credal Sentential Decision Diagrams. - Alessandro Antonucci 001; Alessandro Facchini; Lilith Mattei (ISIPTA, 2019)

Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17). - Alessandro Antonucci 001; Giorgio Corani; Inés Couso; Sébastien Destercke (Int. J. Approx. Reason., 2019)

Temporal Embeddings and Transformer Models for Narrative Text Understanding. - Vani Kanjirangat; Simone Mellace; Alessandro Antonucci 001 (Text2Story@ECIR, 2020)

Approximate MMAP by Marginal Search. - Alessandro Antonucci 001; Thomas Tiotto (FLAIRS, 2020)

Temporal Word Embeddings for Narrative Understanding. - Claudia Volpetti; Vani Kanjirangat; Alessandro Antonucci 001 (ICMLC, 2020)

Relation Clustering in Narrative Knowledge Graphs. - Simone Mellace; Vani Kanjirangat; Alessandro Antonucci 001 (AI4Narratives@IJCAI, 2020)

CREDICI: A Java Library for Causal Inference by Credal Networks. - Rafael Cabañas 001; Alessandro Antonucci 001; David Huber 001; Marco Zaffalon (PGM, 2020)

CREMA: A Java Library for Credal Network Inference. - David Huber 001; Rafael Cabañas 001; Alessandro Antonucci 001; Marco Zaffalon (PGM, 2020)

Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks. - Denis Deratani Mauá; Heitor Ribeiro Reis; Gustavo Perez Katague; Alessandro Antonucci 001 (PGM, 2020)

Structural Causal Models Are (Solvable by) Credal Networks. - Marco Zaffalon; Alessandro Antonucci 001; Rafael Cabañas 001 (PGM, 2020)

SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces. - Vani Kanjirangat; Sandra Mitrovic; Alessandro Antonucci 001; Fabio Rinaldi 001 (SemEval@COLING, 2020)

Conversational Recommender System by Bayesian Methods. - Francesca Mangili; Denis Broggini; Alessandro Antonucci 001 (SUM, 2020)

A Bayesian Approach to Conversational Recommendation Systems. - Francesca Mangili; Denis Broggini; Alessandro Antonucci 001; Marco Alberti 003; Lorenzo Cimasoni (CoRR, 2020)

EM Based Bounding of Unidentifiable Queries in Structural Causal Models. - Marco Zaffalon; Alessandro Antonucci 001; Rafael Cabañas 001 (CoRR, 2020)

Tractable inference in credal sentential decision diagrams. - Lilith Mattei; Alessandro Antonucci 001; Denis Deratani Mauá; Alessandro Facchini; Julissa Villanueva Llerena (Int. J. Approx. Reason., 2020)

A New Score for Adaptive Tests in Bayesian and Credal Networks. - Alessandro Antonucci 001; Francesca Mangili; Claudio Bonesana; Giorgia Adorni (ECSQARU, 2021)

Cautious Classification with Data Missing Not at Random Using Generative Random Forests. - Julissa Villanueva Llerena; Denis Deratani Mauá; Alessandro Antonucci 001 (ECSQARU, 2021)

Logic and Model Checking by Imprecise Probabilistic Interpreted Systems. - Alberto Termine; Alessandro Antonucci 001; Giuseppe Primiero; Alessandro Facchini (EUMAS, 2021)

CREPO: An Open Repository to Benchmark Credal Network Algorithms. - Rafael Cabañas 001; Alessandro Antonucci 001 (ISIPTA, 2021)

Robust Model Checking with Imprecise Markov Reward Models. - Alberto Termine; Alessandro Antonucci 001; Alessandro Facchini; Giuseppe Primiero (ISIPTA, 2021)

Uncertain reasoning. - Alessandro Antonucci 001; Salem Benferhat; Kamal Premaratne (Ann. Math. Artif. Intell., 2021)

Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption. - Alessandro Antonucci 001; Alessandro Facchini; Lilith Mattei (CoRR, 2021)

ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks. - Claudio Bonesana; Francesca Mangili; Alessandro Antonucci 001 (CoRR, 2021)

Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates. - Alessandro Antonucci 001; Francesca Mangili; Claudio Bonesana; Giorgia Adorni (FLAIRS, 2022)

Dalal's Revision in Sentential Decision Diagrams. - Lilith Mattei; Alessandro Antonucci 001; Alessandro Facchini (ISAIM, 2022)

Bounding Counterfactuals under Selection Bias. - Marco Zaffalon; Alessandro Antonucci 001; Rafael Cabañas 001; David Huber 001; Dario Azzimonti (PGM, 2022)

Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach. - Francesca Mangili; Giorgia Adorni; Alberto Piatti; Claudio Bonesana; Alessandro Antonucci 001 (SoftCOM, 2022)

Belief Revision in Sentential Decision Diagrams. - Lilith Mattei; Alessandro Facchini; Alessandro Antonucci 001 (CoRR, 2022)

Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data. - Marco Zaffalon; Alessandro Antonucci 001; David Huber 001; Rafael Cabañas 001 (CoRR, 2022)

Edge Labelling in Narrative Knowledge Graphs. - Vani Kanjirangat; Alessandro Antonucci 001 (Text2Story@ECIR, 2023)

Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering. - Ardian Selmonaj; Oleg Szehr; Giacomo Del Rio; Alessandro Antonucci 001; Adrian Schneider; Michael Rüegsegger (ICMLA, 2023)

Probabilistic Modelling for Trustworthy Artificial Intelligence in Drone-Supported Autonomous Wheelchairs. - Franca Corradini; Francesco Flammini; Alessandro Antonucci 001 (TAS, 2023)

Machine Learning Explanations by Surrogate Causal Models (MaLESCaMo). - Alberto Termine; Alessandro Antonucci 001; Alessandro Facchini (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2023)

Tractable Bounding of Counterfactual Queries by Knowledge Compilation. - David Huber 001; Yizuo Chen; Alessandro Antonucci 001; Adnan Darwiche; Marco Zaffalon (CoRR, 2023)

Zero-shot Causal Graph Extrapolation from Text via LLMs. - Alessandro Antonucci 001; Gregorio Piqué; Marco Zaffalon (CoRR, 2023)

Imprecise Probabilistic Model Checking for Stochastic Multi-agent Systems. - Alberto Termine; Alessandro Antonucci 001; Giuseppe Primiero; Alessandro Facchini (SN Comput. Sci., 2023)

Approximating counterfactual bounds while fusing observational, biased and randomised data sources. - Marco Zaffalon; Alessandro Antonucci 001; Rafael Cabañas 001; David Huber 001 (Int. J. Approx. Reason., 2023)

On the Limitations of Zero-Shot Classification of Causal Relations by LLMs. - Vani Kanjirangat; Alessandro Antonucci 001; Marco Zaffalon (Text2Story@ECIR, 2024)

Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs Against Environmental Factors. - Franca Corradini; Carlo Grigioni; Alessandro Antonucci 001; Jérôme Guzzi; Francesco Flammini (INTSYS, 2024)

Safe Road-Crossing by Autonomous Wheelchairs: A Novel Dataset and Its Evaluation. - Carlo Grigioni; Franca Corradini; Alessandro Antonucci 001; Jérôme Guzzi; Francesco Flammini (SAFECOMP (Workshops), 2024)

Knowledge Intensive Learning of Credal Networks. - Saurabh Mathur 002; Alessandro Antonucci 001; Sriraam Natarajan (UAI, 2024)

A Note on Bayesian Networks with Latent Root Variables. - Marco Zaffalon; Alessandro Antonucci 001 (CoRR, 2024)

Safe Road-Crossing by Autonomous Wheelchairs: a Novel Dataset and its Experimental Evaluation. - Carlo Grigioni; Franca Corradini; Alessandro Antonucci 001; Jérôme Guzzi; Francesco Flammini (CoRR, 2024)

BinomialHash: A Constant Time, Minimal Memory Consistent Hash Algorithm. - Massimo Coluzzi; Amos Brocco; Alessandro Antonucci 001 (CoRR, 2024)

Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment. - Giorgia Adorni; Francesca Mangili; Alberto Piatti; Claudio Bonesana; Alessandro Antonucci 001 (CoRR, 2024)

Efficient computation of counterfactual bounds. - Marco Zaffalon; Alessandro Antonucci 001; Rafael Cabañas 001; David Huber 001; Dario Azzimonti (Int. J. Approx. Reason., 2024)

MementoHash: A Stateful, Minimal Memory, Best Performing Consistent Hash Algorithm. - Massimo Coluzzi; Amos Brocco; Alessandro Antonucci 001; Tiziano Leidi (IEEE/ACM Trans. Netw., 2024)

Counterfactual Inference Using Ordinary Differential Equations to Assess the Effect of Physical Activity on Type 2 Diabetes Onset. - Marta Lenatti; Marco Zaffalon; Alessandro Antonucci 001; Pierluigi Francesco De Paola; Lea Multerer; Maurizio Mongelli; Alessia Paglialonga; Laura Azzimonti (AIME (1), 2025)

Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning. - Ardian Selmonaj; Oleg Szehr; Giacomo Del Rio; Alessandro Antonucci 001; Adrian Schneider; Michael Rüegsegger (CoRR, 2025)

Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics. - Ardian Selmonaj; Alessandro Antonucci 001; Adrian Schneider; Michael Rüegsegger; Matthias Sommer (CoRR, 2025)

Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning. - Ardian Selmonaj; Miroslav Strupl; Oleg Szehr; Alessandro Antonucci 001 (CoRR, 2025)