Alessandro Antonucci

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 72

Top Venues

CoRR

Int. J. Approx. Reason.

PGM

Text2Story@ECIR

Publications

Franca Corradini, Carlo Grigioni, Alessandro Antonucci, Jérôme Guzzi, Francesco Flammini
Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors. CoRR (2024)
Vani Kanjirangat, Alessandro Antonucci, Marco Zaffalon
On the Limitations of Zero-Shot Classification of Causal Relations by LLMs. Text2Story@ECIR (2024)
Marco Zaffalon, Alessandro Antonucci
A Note on Bayesian Networks with Latent Root Variables. CoRR (2024)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Efficient computation of counterfactual bounds. Int. J. Approx. Reason. 171 (2024)
Massimo Coluzzi, Amos Brocco, Alessandro Antonucci
BinomialHash: A Constant Time, Minimal Memory Consistent Hash Algorithm. CoRR (2024)
Carlo Grigioni, Franca Corradini, Alessandro Antonucci, Jérôme Guzzi, Francesco Flammini
Safe Road-Crossing by Autonomous Wheelchairs: a Novel Dataset and its Experimental Evaluation. CoRR (2024)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber
Approximating counterfactual bounds while fusing observational, biased and randomised data sources. Int. J. Approx. Reason. 162 (2023)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources. CoRR (2023)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Efficient Computation of Counterfactual Bounds. CoRR (2023)
David Huber, Yizuo Chen, Alessandro Antonucci, Adnan Darwiche, Marco Zaffalon
Tractable Bounding of Counterfactual Queries by Knowledge Compilation. CoRR (2023)
Vani Kanjirangat, Alessandro Antonucci
Edge Labelling in Narrative Knowledge Graphs. Text2Story@ECIR (2023)
Alberto Termine, Alessandro Antonucci, Giuseppe Primiero, Alessandro Facchini
Imprecise Probabilistic Model Checking for Stochastic Multi-agent Systems. SN Comput. Sci. 4 (5) (2023)
Franca Corradini, Francesco Flammini, Alessandro Antonucci
Probabilistic Modelling for Trustworthy Artificial Intelligence in Drone-Supported Autonomous Wheelchairs. TAS (2023)
Alessandro Antonucci, Gregorio Piqué, Marco Zaffalon
Zero-shot Causal Graph Extrapolation from Text via LLMs. CoRR (2023)
Alberto Termine, Alessandro Antonucci, Alessandro Facchini
Machine Learning Explanations by Surrogate Causal Models (MaLESCaMo). xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger
Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering. CoRR (2023)
Massimo Coluzzi, Amos Brocco, Alessandro Antonucci, Tiziano Leidi
MementoHash: A Stateful, Minimal Memory, Best Performing Consistent Hash Algorithm. CoRR (2023)
Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger
Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering. ICMLA (2023)
Lilith Mattei, Alessandro Antonucci, Alessandro Facchini
Dalal's Revision in Sentential Decision Diagrams. ISAIM (2022)
Marco Zaffalon, Alessandro Antonucci, David Huber, Rafael Cabañas
Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data. CoRR (2022)
Francesca Mangili, Giorgia Adorni, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach. SoftCOM (2022)
Lilith Mattei, Alessandro Facchini, Alessandro Antonucci
Belief Revision in Sentential Decision Diagrams. CoRR (2022)
Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni
Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates. FLAIRS (2022)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Bounding Counterfactuals under Selection Bias. CoRR (2022)
Francesca Mangili, Giorgia Adorni, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach. CoRR (2022)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti
Bounding Counterfactuals under Selection Bias. PGM (2022)
Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni
A New Score for Adaptive Tests in Bayesian and Credal Networks. CoRR (2021)
Rafael Cabañas, Alessandro Antonucci
CREPO: An Open Repository to Benchmark Credal Network Algorithms. ISIPTA (2021)
Alessandro Antonucci, Alessandro Facchini, Lilith Mattei
Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption. CoRR (2021)
Claudio Bonesana, Francesca Mangili, Alessandro Antonucci
ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks. CoRR (2021)
Alberto Termine, Alessandro Antonucci, Alessandro Facchini, Giuseppe Primiero
Robust Model Checking with Imprecise Markov Reward Models. CoRR (2021)
Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni
A New Score for Adaptive Tests in Bayesian and Credal Networks. ECSQARU (2021)
Rafael Cabañas, Alessandro Antonucci
CREPO: An Open Repository to Benchmark Credal Network Algorithms. CoRR (2021)
Julissa Villanueva Llerena, Denis Deratani Mauá, Alessandro Antonucci
Cautious Classification with Data Missing Not at Random Using Generative Random Forests. ECSQARU (2021)
Alberto Termine, Alessandro Antonucci, Alessandro Facchini, Giuseppe Primiero
Robust Model Checking with Imprecise Markov Reward Models. ISIPTA (2021)
Alessandro Antonucci, Salem Benferhat, Kamal Premaratne
Uncertain reasoning. Ann. Math. Artif. Intell. 89 (10-11) (2021)
Alberto Termine, Alessandro Antonucci, Giuseppe Primiero, Alessandro Facchini
Logic and Model Checking by Imprecise Probabilistic Interpreted Systems. EUMAS (2021)
Denis Deratani Mauá, Heitor Ribeiro Reis, Gustavo Perez Katague, Alessandro Antonucci
Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks. PGM (2020)
Vani Kanjirangat, Sandra Mitrovic, Alessandro Antonucci, Fabio Rinaldi
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces. CoRR (2020)
Francesca Mangili, Denis Broggini, Alessandro Antonucci, Marco Alberti, Lorenzo Cimasoni
A Bayesian Approach to Conversational Recommendation Systems. CoRR (2020)
Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena
Tractable inference in credal sentential decision diagrams. Int. J. Approx. Reason. 125 (2020)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
Structural Causal Models Are (Solvable by) Credal Networks. CoRR (2020)
Simone Mellace, Vani Kanjirangat, Alessandro Antonucci
Relation Clustering in Narrative Knowledge Graphs. CoRR (2020)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
Structural Causal Models Are (Solvable by) Credal Networks. PGM (2020)
Vani Kanjirangat, Simone Mellace, Alessandro Antonucci
Temporal Embeddings and Transformer Models for Narrative Text Understanding. Text2Story@ECIR (2020)
Vani Kanjirangat, Sandra Mitrovic, Alessandro Antonucci, Fabio Rinaldi
SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces. SemEval@COLING (2020)
Rafael Cabañas, Alessandro Antonucci, David Huber, Marco Zaffalon
CREDICI: A Java Library for Causal Inference by Credal Networks. PGM (2020)
Alessandro Antonucci, Thomas Tiotto
Approximate MMAP by Marginal Search. FLAIRS Conference (2020)
Francesca Mangili, Denis Broggini, Alessandro Antonucci
Conversational Recommender System by Bayesian Methods. SUM (2020)
Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas
EM Based Bounding of Unidentifiable Queries in Structural Causal Models. CoRR (2020)
Claudia Volpetti, Vani Kanjirangat, Alessandro Antonucci
Temporal Word Embeddings for Narrative Understanding. ICMLC (2020)
Simone Mellace, Vani Kanjirangat, Alessandro Antonucci
Relation Clustering in Narrative Knowledge Graphs. AI4Narratives@IJCAI (2020)
Vani Kanjirangat, Simone Mellace, Alessandro Antonucci
Temporal Embeddings and Transformer Models for Narrative Text Understanding. CoRR (2020)
Alessandro Antonucci, Thomas Tiotto
Approximate MMAP by Marginal Search. CoRR (2020)
Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena
Tractable Inference in Credal Sentential Decision Diagrams. CoRR (2020)
David Huber, Rafael Cabañas, Alessandro Antonucci, Marco Zaffalon
CREMA: A Java Library for Credal Network Inference. PGM (2020)
Vani Kanjirangat, Alessandro Antonucci
NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning. Text2Story@ECIR (2019)
Alessandro Antonucci, Giorgio Corani, Inés Couso, Sébastien Destercke
Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17). Int. J. Approx. Reason. 111 (2019)
Alessandro Antonucci, Alessandro Facchini, Lilith Mattei
Credal Sentential Decision Diagrams. ISIPTA (2019)
Alessandro Antonucci
Reliable Discretization of Deterministic Equations in Bayesian Networks. FLAIRS Conference (2019)
Sabina Marchetti, Alessandro Antonucci
Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks. CoRR (2018)
Sabina Marchetti, Alessandro Antonucci
Imaginary Kinematics. UAI (2018)
Sabina Marchetti, Alessandro Antonucci
Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks. FLAIRS Conference (2018)
Alessandro Antonucci, Alessandro Facchini
A Credal Extension of Independent Choice Logic. CoRR (2018)
Alessandro Antonucci, Alessandro Facchini
Set-Valued Probabilistic Sentential Decision Diagrams. PLP@ILP (2018)
Sabina Marchetti, Alessandro Antonucci
Imaginary Kinematics. CoRR (2018)
Alessandro Antonucci, Alessandro Facchini
A Credal Extension of Independent Choice Logic. SUM (2018)
Alessandro Antonucci, Giorgio Corani
The multilabel naive credal classifier. Int. J. Approx. Reason. 83 (2017)
Francesca Mangili, Claudio Bonesana, Alessandro Antonucci
Reliable Knowledge-Based Adaptive Tests by Credal Networks. ECSQARU (2017)
Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo
Evaluating interval-valued influence diagrams. Int. J. Approx. Reason. 80 (2017)
Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos
Hidden Markov models with set-valued parameters. Neurocomputing 180 (2016)
Yann Soullard, Alessandro Antonucci, Sébastien Destercke
Technical Gestures Recognition by Set-Valued Hidden Markov Models with Prior Knowledge. SMPS (2016)
Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
Approximate credal network updating by linear programming with applications to decision making. Int. J. Approx. Reason. 58 (2015)
Cassio P. de Campos, Alessandro Antonucci
Imprecision in Machine Learning and AI. IEEE Intell. Informatics Bull. 16 (1) (2015)
Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo
Variable Elimination for Interval-Valued Influence Diagrams. ECSQARU (2015)
Alessandro Antonucci, Rocco De Rosa, Alessandro Giusti, Fabio Cuzzolin
Robust classification of multivariate time series by imprecise hidden Markov models. Int. J. Approx. Reason. 56 (2015)
Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci
Probabilistic Inference in Credal Networks: New Complexity Results. J. Artif. Intell. Res. 50 (2014)
Giorgio Corani, Alessandro Antonucci
Credal ensembles of classifiers. Comput. Stat. Data Anal. 71 (2014)
Denis Deratani Mauá, Cassio Polpo de Campos, Alessandro Antonucci
Algorithms for Hidden Markov Models with Imprecisely Specified Parameters. BRACIS (2014)
Alessandro Antonucci, Alexander Karlsson, David Sundgren
Decision Making with Hierarchical Credal Sets. IPMU (3) (2014)
Jasper De Bock, Cassio P. de Campos, Alessandro Antonucci
Global Sensitivity Analysis for MAP Inference in Graphical Models. NIPS (2014)
Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio
Trading off Speed and Accuracy in Multilabel Classification. Probabilistic Graphical Models (2014)
Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci
On the Complexity of Strong and Epistemic Credal Networks. CoRR (2013)
Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci
On the Complexity of Strong and Epistemic Credal Networks. UAI (2013)
Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon
Approximating Credal Network Inferences by Linear Programming. ECSQARU (2013)
Alessandro Antonucci, David Huber, Marco Zaffalon, Philippe Luginbuhl, Ian Chapman, Richard Ladouceur
CREDO: A military decision-support system based on credal networks. FUSION (2013)
Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, Sandra Gabaglio
An Ensemble of Bayesian Networks for Multilabel Classification. IJCAI (2013)
Giorgio Corani, Alessandro Antonucci
Credal Classification based on AODE and compression coefficients CoRR (2012)
Alessandro Antonucci
An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics. Belief Functions (2012)
Giorgio Corani, Alessandro Antonucci, Rocco De Rosa
Compression-based AODE Classifiers. ECAI (2012)
Alessandro Antonucci, Marco E. G. V. Cattaneo, Giorgio Corani
Likelihood-Based Robust Classification with Bayesian Networks. IPMU (3) (2012)
Alessandro Antonucci
The imprecise noisy-OR gate. FUSION (2011)
Alessandro Antonucci, Rocco De Rosa
Time Series Classification by Imprecise Hidden Markov Models. WIRN (2011)
Alessandro Antonucci, Yi Sun, Cassio P. de Campos, Marco Zaffalon
Generalized loopy 2U: A new algorithm for approximate inference in credal networks. Int. J. Approx. Reason. 51 (5) (2010)
Alessio Benavoli, Alessandro Antonucci
An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks. Int. J. Approx. Reason. 51 (9) (2010)
Gert de Cooman, Filip Hermans, Alessandro Antonucci, Marco Zaffalon
Epistemic irrelevance in credal nets: The case of imprecise Markov trees. Int. J. Approx. Reason. 51 (9) (2010)
Alessandro Antonucci, Fabio Cuzzolin
Credal Sets Approximation by Lower Probabilities: Application to Credal Networks. IPMU (2010)
Gert de Cooman, Filip Hermans, Alessandro Antonucci, Marco Zaffalon
Epistemic irrelevance in credal nets: the case of imprecise Markov trees CoRR (2010)
Alessandro Antonucci, Alessio Benavoli, Marco Zaffalon, Gert de Cooman, Filip Hermans
Multiple model tracking by imprecise markov trees. FUSION (2009)
Alessandro Antonucci, Ralph Brühlmann, Alberto Piatti, Marco Zaffalon
Credal networks for military identification problems. Int. J. Approx. Reason. 50 (4) (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alessandro Antonucci