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ORCIDAlessandro Antonucci 0001
Person information
- affiliation: Dalle Molle Institute for Artificial Intelligence, Manno-Lugano, Switzerland
Other persons with the same name
- Alessandro Antonucci 0002
![[0000-0002-4253-9640]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4253-9640")
— University of Trento, Department of Information Engineering and Computer Science, Trento, Italy
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2020 – today
- 2026
[j22]Giacomo Del Rio, Oleg Szehr, Alessandro Antonucci, Marco Pierbattista, Matthias Sommer, Michael Rüegsegger:
Deep Reinforcement Learning in Wargaming. J. Aerosp. Inf. Syst. 23(4): 322-336 (2026)- [i44]Adrian Cosma, Oleg Szehr, David Kletz, Alessandro Antonucci, Olivier Pelletier:
Automatic Prompt Optimization for Dataset-Level Feature Discovery. CoRR abs/2601.13922 (2026) - [i43]Alessia Berarducci, Eric Rossetto, Alessandro Antonucci, Marco Zaffalon:
Automatic Causal Fairness Analysis with LLM-Generated Reporting. CoRR abs/2604.27011 (2026) - 2025
- [c63]Alessandro Antonucci, Eric Rossetto, Ivan Duvnjak:
On the Correlation between Individual Fairness and Predictive Accuracy in Probabilistic Models. AEQUITAS@ECAI 2025 - [c62]Marta Lenatti, Marco Zaffalon, Alessandro Antonucci, Pierluigi Francesco De Paola, Lea Multerer, Maurizio Mongelli, Alessia Paglialonga, Laura Azzimonti:
Counterfactual Inference Using Ordinary Differential Equations to Assess the Effect of Physical Activity on Type 2 Diabetes Onset. AIME (1) 2025: 212-221 - [c61]Ardian Selmonaj, Miroslav Strupl, Oleg Szehr, Alessandro Antonucci:
Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning. ECAI 2025: 1310-1317 - [c60]Ardian Selmonaj, Giacomo Del Rio, Adrian Schneider, Alessandro Antonucci:
Towards Human Engagement with Realistic AI Combat Pilots. HAI 2025: 403-405 - [c59]Franca Corradini, Carlo Grigioni, Alessandro Antonucci, Jerome Guzzi, Francesco Flammini:
Balancing Accuracy and Interpretability in Multi-Sensor Fusion through Dynamic Bayesian Networks. TRUST-AI@ECAI 2025: 266-275 - [i42]Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger:
Enhancing Aerial Combat Tactics through Hierarchical Multi-Agent Reinforcement Learning. CoRR abs/2505.08995 (2025) - [i41]Ardian Selmonaj, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger, Matthias Sommer:
Explaining Strategic Decisions in Multi-Agent Reinforcement Learning for Aerial Combat Tactics. CoRR abs/2505.11311 (2025) - [i40]Ardian Selmonaj, Miroslav Strupl, Oleg Szehr, Alessandro Antonucci:
Understanding Action Effects through Instrumental Empowerment in Multi-Agent Reinforcement Learning. CoRR abs/2508.15652 (2025) - [i39]Alessandro Antonucci, Eric Rossetto, Ivan Duvnjak:
On the Correlation between Individual Fairness and Predictive Accuracy in Probabilistic Models. CoRR abs/2509.13165 (2025) - [i38]Oscar Lithgow-Serrano, Vani Kanjirangat, Alessandro Antonucci:
Causal Understanding by LLMs: The Role of Uncertainty. CoRR abs/2509.20088 (2025) - [i37]Ardian Selmonaj, Giacomo Del Rio, Adrian Schneider, Alessandro Antonucci:
Towards Human Engagement with Realistic AI Combat Pilots. CoRR abs/2509.26002 (2025) - [i36]Ardian Selmonaj, Giacomo Del Rio, Adrian Schneider, Alessandro Antonucci:
Coordinated Strategies in Realistic Air Combat by Hierarchical Multi-Agent Reinforcement Learning. CoRR abs/2510.11474 (2025) - 2024
- [j21]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Efficient computation of counterfactual bounds. Int. J. Approx. Reason. 171: 109111 (2024) - [j20]Massimo Coluzzi, Amos Brocco, Alessandro Antonucci, Tiziano Leidi:
MementoHash: A Stateful, Minimal Memory, Best Performing Consistent Hash Algorithm. IEEE/ACM Trans. Netw. 32(4): 3528-3543 (2024) - [c58]Vani Kanjirangat, Alessandro Antonucci, Marco Zaffalon:
On the Limitations of Zero-Shot Classification of Causal Relations by LLMs. Text2Story@ECIR 2024: 151-160 - [c57]Franca Corradini, Carlo Grigioni, Alessandro Antonucci, Jérôme Guzzi, Francesco Flammini:
Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs Against Environmental Factors. INTSYS 2024: 363-380 - [c56]Carlo Grigioni, Franca Corradini, Alessandro Antonucci, Jérôme Guzzi, Francesco Flammini:
Safe Road-Crossing by Autonomous Wheelchairs: A Novel Dataset and Its Evaluation. SAFECOMP (Workshops) 2024: 47-60 - [c55]Saurabh Mathur, Alessandro Antonucci, Sriraam Natarajan:
Knowledge Intensive Learning of Credal Networks. UAI 2024: 2516-2526 - [i35]Marco Zaffalon, Alessandro Antonucci:
A Note on Bayesian Networks with Latent Root Variables. CoRR abs/2402.17087 (2024) - [i34]Carlo Grigioni, Franca Corradini, Alessandro Antonucci, Jérôme Guzzi, Francesco Flammini:
Safe Road-Crossing by Autonomous Wheelchairs: a Novel Dataset and its Experimental Evaluation. CoRR abs/2403.08984 (2024) - [i33]Franca Corradini, Carlo Grigioni, Alessandro Antonucci, Jérôme Guzzi, Francesco Flammini:
Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors. CoRR abs/2406.18557 (2024) - [i32]Massimo Coluzzi, Amos Brocco, Alessandro Antonucci:
BinomialHash: A Constant Time, Minimal Memory Consistent Hash Algorithm. CoRR abs/2406.19836 (2024) - [i31]Giorgia Adorni, Francesca Mangili, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci:
Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment. CoRR abs/2408.01221 (2024) - [i30]Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
Intelligent tutoring systems by Bayesian nets with noisy gates. CoRR abs/2409.04102 (2024) - 2023
- [j19]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber:
Approximating counterfactual bounds while fusing observational, biased and randomised data sources. Int. J. Approx. Reason. 162: 109023 (2023) - [j18]Alberto Termine, Alessandro Antonucci, Giuseppe Primiero, Alessandro Facchini:
Imprecise Probabilistic Model Checking for Stochastic Multi-agent Systems. SN Comput. Sci. 4(5): 443 (2023) - [c54]Vani Kanjirangat, Alessandro Antonucci:
Edge Labelling in Narrative Knowledge Graphs. Text2Story@ECIR 2023: 135-142 - [c53]Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger:
Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering. ICMLA 2023: 1031-1038 - [c52]Franca Corradini, Francesco Flammini, Alessandro Antonucci:
Probabilistic Modelling for Trustworthy Artificial Intelligence in Drone-Supported Autonomous Wheelchairs. TAS 2023: 52:1-52:5 - [c51]Alberto Termine, Alessandro Antonucci, Alessandro Facchini:
Machine Learning Explanations by Surrogate Causal Models (MaLESCaMo). xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 59-64 - [i29]Massimo Coluzzi, Amos Brocco, Alessandro Antonucci, Tiziano Leidi:
MementoHash: A Stateful, Minimal Memory, Best Performing Consistent Hash Algorithm. CoRR abs/2306.09783 (2023) - [i28]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Efficient Computation of Counterfactual Bounds. CoRR abs/2307.08304 (2023) - [i27]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber:
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources. CoRR abs/2307.16577 (2023) - [i26]Ardian Selmonaj, Oleg Szehr, Giacomo Del Rio, Alessandro Antonucci, Adrian Schneider, Michael Rüegsegger:
Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering. CoRR abs/2309.11247 (2023) - [i25]David Huber, Yizuo Chen, Alessandro Antonucci, Adnan Darwiche, Marco Zaffalon:
Tractable Bounding of Counterfactual Queries by Knowledge Compilation. CoRR abs/2310.03352 (2023) - [i24]Alessandro Antonucci, Gregorio Piqué, Marco Zaffalon:
Zero-shot Causal Graph Extrapolation from Text via LLMs. CoRR abs/2312.14670 (2023) - 2022
- [c50]Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates. FLAIRS 2022 - [c49]Lilith Mattei, Alessandro Antonucci, Alessandro Facchini:
Dalal's Revision in Sentential Decision Diagrams. ISAIM 2022 - [c48]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Bounding Counterfactuals under Selection Bias. PGM 2022: 289-300 - [c47]Francesca Mangili, Giorgia Adorni, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci:
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach. SoftCOM 2022: 1-6 - [i23]Lilith Mattei, Alessandro Facchini, Alessandro Antonucci:
Belief Revision in Sentential Decision Diagrams. CoRR abs/2201.08112 (2022) - [i22]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas, David Huber, Dario Azzimonti:
Bounding Counterfactuals under Selection Bias. CoRR abs/2208.01417 (2022) - [i21]Francesca Mangili, Giorgia Adorni, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci:
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach. CoRR abs/2209.05467 (2022) - [i20]Marco Zaffalon, Alessandro Antonucci, David Huber, Rafael Cabañas:
Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data. CoRR abs/2212.02932 (2022) - 2021
- [j17]Alessandro Antonucci, Salem Benferhat, Kamal Premaratne:
Uncertain reasoning. Ann. Math. Artif. Intell. 89(10-11): 919-921 (2021) - [c46]Julissa Villanueva Llerena, Denis Deratani Mauá, Alessandro Antonucci:
Cautious Classification with Data Missing Not at Random Using Generative Random Forests. ECSQARU 2021: 284-298 - [c45]Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
A New Score for Adaptive Tests in Bayesian and Credal Networks. ECSQARU 2021: 399-412 - [c44]Alberto Termine, Alessandro Antonucci, Giuseppe Primiero, Alessandro Facchini:
Logic and Model Checking by Imprecise Probabilistic Interpreted Systems. EUMAS 2021: 211-227 - [c43]Alberto Termine, Alessandro Antonucci, Alessandro Facchini, Giuseppe Primiero:
Robust Model Checking with Imprecise Markov Reward Models. ISIPTA 2021: 299-309 - [c42]Rafael Cabañas, Alessandro Antonucci:
CREPO: An Open Repository to Benchmark Credal Network Algorithms. ISIPTA 2021: 352-356 - [i19]Alberto Termine, Alessandro Antonucci, Alessandro Facchini, Giuseppe Primiero:
Robust Model Checking with Imprecise Markov Reward Models. CoRR abs/2103.04841 (2021) - [i18]Rafael Cabañas, Alessandro Antonucci:
CREPO: An Open Repository to Benchmark Credal Network Algorithms. CoRR abs/2105.04158 (2021) - [i17]Alessandro Antonucci, Francesca Mangili, Claudio Bonesana, Giorgia Adorni:
A New Score for Adaptive Tests in Bayesian and Credal Networks. CoRR abs/2105.12205 (2021) - [i16]Alessandro Antonucci, Alessandro Facchini, Lilith Mattei:
Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption. CoRR abs/2107.12130 (2021) - [i15]Claudio Bonesana, Francesca Mangili, Alessandro Antonucci:
ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks. CoRR abs/2112.14476 (2021) - 2020
- [j16]Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena:
Tractable inference in credal sentential decision diagrams. Int. J. Approx. Reason. 125: 26-48 (2020) - [c41]Vani Kanjirangat, Simone Mellace, Alessandro Antonucci:
Temporal Embeddings and Transformer Models for Narrative Text Understanding. Text2Story@ECIR 2020: 71-77 - [c40]Alessandro Antonucci, Thomas F. Tiotto:
Approximate MMAP by Marginal Search. FLAIRS 2020: 181-184 - [c39]Claudia Volpetti, Vani Kanjirangat, Alessandro Antonucci:
Temporal Word Embeddings for Narrative Understanding. ICMLC 2020: 68-72 - [c38]Simone Mellace, Vani Kanjirangat, Alessandro Antonucci:
Relation Clustering in Narrative Knowledge Graphs. AI4Narratives@IJCAI 2020: 23-27 - [c37]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: 293-304 - [c36]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas:
Structural Causal Models Are (Solvable by) Credal Networks. PGM 2020: 581-592 - [c35]Rafael Cabañas, Alessandro Antonucci, David Huber, Marco Zaffalon:
CREDICI: A Java Library for Causal Inference by Credal Networks. PGM 2020: 597-600 - [c34]David Huber, Rafael Cabañas, Alessandro Antonucci, Marco Zaffalon:
CREMA: A Java Library for Credal Network Inference. PGM 2020: 613-616 - [c33]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: 214-221 - [c32]Francesca Mangili, Denis Broggini, Alessandro Antonucci:
Conversational Recommender System by Bayesian Methods. SUM 2020: 200-214 - [i14]Alessandro Antonucci, Thomas F. Tiotto:
Approximate MMAP by Marginal Search. CoRR abs/2002.04827 (2020) - [i13]Francesca Mangili, Denis Broggini, Alessandro Antonucci, Marco Alberti, Lorenzo Cimasoni:
A Bayesian Approach to Conversational Recommendation Systems. CoRR abs/2002.05063 (2020) - [i12]Vani Kanjirangat, Simone Mellace, Alessandro Antonucci:
Temporal Embeddings and Transformer Models for Narrative Text Understanding. CoRR abs/2003.08811 (2020) - [i11]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas:
Structural Causal Models Are (Solvable by) Credal Networks. CoRR abs/2008.00463 (2020) - [i10]Lilith Mattei, Alessandro Antonucci, Denis Deratani Mauá, Alessandro Facchini, Julissa Villanueva Llerena:
Tractable Inference in Credal Sentential Decision Diagrams. CoRR abs/2008.08524 (2020) - [i9]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 abs/2010.00857 (2020) - [i8]Marco Zaffalon, Alessandro Antonucci, Rafael Cabañas:
EM Based Bounding of Unidentifiable Queries in Structural Causal Models. CoRR abs/2011.02912 (2020) - [i7]Simone Mellace, Vani Kanjirangat, Alessandro Antonucci:
Relation Clustering in Narrative Knowledge Graphs. CoRR abs/2011.13647 (2020)
2010 – 2019
- 2019
- [j15]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: 100-101 (2019) - [c31]Vani Kanjirangat, Alessandro Antonucci:
NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning. Text2Story@ECIR 2019: 29-37 - [c30]Alessandro Antonucci:
Reliable Discretization of Deterministic Equations in Bayesian Networks. FLAIRS 2019: 453-457 - [c29]Alessandro Antonucci, Alessandro Facchini, Lilith Mattei:
Credal Sentential Decision Diagrams. ISIPTA 2019: 14-22 - 2018
- [c28]Sabina Marchetti, Alessandro Antonucci:
Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks. FLAIRS 2018: 513-518 - [c27]Alessandro Antonucci, Alessandro Facchini:
Set-Valued Probabilistic Sentential Decision Diagrams. PLP@ILP 2018: 3-8 - [c26]Alessandro Antonucci, Alessandro Facchini:
A Credal Extension of Independent Choice Logic. SUM 2018: 35-49 - [c25]Sabina Marchetti, Alessandro Antonucci:
Imaginary Kinematics. UAI 2018: 104-113 - [i6]Sabina Marchetti, Alessandro Antonucci:
Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks. CoRR abs/1802.05639 (2018) - [i5]Alessandro Antonucci, Alessandro Facchini:
A Credal Extension of Independent Choice Logic. CoRR abs/1806.08298 (2018) - [i4]Sabina Marchetti, Alessandro Antonucci:
Imaginary Kinematics. CoRR abs/1808.00329 (2018) - 2017
- [j14]Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo:
Evaluating interval-valued influence diagrams. Int. J. Approx. Reason. 80: 393-411 (2017) - [j13]Alessandro Antonucci, Giorgio Corani:
The multilabel naive credal classifier. Int. J. Approx. Reason. 83: 320-336 (2017) - [c24]Francesca Mangili, Claudio Bonesana, Alessandro Antonucci:
Reliable Knowledge-Based Adaptive Tests by Credal Networks. ECSQARU 2017: 282-291 - [e3]Alessandro Antonucci, Laurence Cholvy, Odile Papini:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10-14, 2017, Proceedings. Lecture Notes in Computer Science 10369, Springer 2017, ISBN 978-3-319-61580-6 [contents] - [e2]Alessandro Antonucci, Giorgio Corani, Inés Couso, Sébastien Destercke:
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10-14 July 2017. Proceedings of Machine Learning Research 62, PMLR 2017 [contents] - 2016
- [j12]Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos:
Hidden Markov models with set-valued parameters. Neurocomputing 180: 94-107 (2016) - [c23]Yann Soullard, Alessandro Antonucci, Sébastien Destercke:
Technical Gestures Recognition by Set-Valued Hidden Markov Models with Prior Knowledge. SMPS 2016: 455-462 - [e1]Alessandro Antonucci, Giorgio Corani, Cassio Polpo de Campos:
Probabilistic Graphical Models - Eighth International Conference, PGM 2016, Lugano, Switzerland, September 6-9, 2016. Proceedings. JMLR Workshop and Conference Proceedings 52, JMLR.org 2016 [contents] - 2015
- [j11]Cassio P. de Campos, Alessandro Antonucci:
Imprecision in Machine Learning and AI. IEEE Intell. Informatics Bull. 16(1): 20-23 (2015) - [j10]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: 249-263 (2015) - [j9]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: 25-38 (2015) - [c22]Rafael Cabañas, Alessandro Antonucci, Andrés Cano, Manuel Gómez-Olmedo:
Variable Elimination for Interval-Valued Influence Diagrams. ECSQARU 2015: 541-551 - 2014
- [j8]Giorgio Corani, Alessandro Antonucci:
Credal ensembles of classifiers. Comput. Stat. Data Anal. 71: 818-831 (2014) - [j7]Denis Deratani Mauá, Cassio P. de Campos, Alessio Benavoli, Alessandro Antonucci:
Probabilistic Inference in Credal Networks: New Complexity Results. J. Artif. Intell. Res. 50: 603-637 (2014) - [c21]Denis Deratani Mauá, Cassio Polpo de Campos, Alessandro Antonucci:
Algorithms for Hidden Markov Models with Imprecisely Specified Parameters. BRACIS 2014: 186-191 - [c20]Alessandro Antonucci, Alexander Karlsson, David Sundgren:
Decision Making with Hierarchical Credal Sets. IPMU (3) 2014: 456-465 - [c19]Jasper De Bock, Cassio P. de Campos, Alessandro Antonucci:
Global Sensitivity Analysis for MAP Inference in Graphical Models. NIPS 2014: 2690-2698 - [c18]Giorgio Corani, Alessandro Antonucci, Denis Deratani Mauá, Sandra Gabaglio:
Trading off Speed and Accuracy in Multilabel Classification. Probabilistic Graphical Models 2014: 145-159 - 2013
- [c17]Alessandro Antonucci, Cassio P. de Campos, David Huber, Marco Zaffalon:
Approximating Credal Network Inferences by Linear Programming. ECSQARU 2013: 13-24 - [c16]Alessandro Antonucci, David Huber, Marco Zaffalon, Philippe Luginbuhl, Ian Chapman, Richard Ladouceur:
CREDO: A military decision-support system based on credal networks. FUSION 2013: 1942-1949 - [c15]Alessandro Antonucci, Giorgio Corani, Denis Deratani Mauá, Sandra Gabaglio:
An Ensemble of Bayesian Networks for Multilabel Classification. IJCAI 2013: 1220-1225 - [c14]Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci:
On the Complexity of Strong and Epistemic Credal Networks. UAI 2013 - [i3]Denis Deratani Mauá, Cassio Polpo de Campos, Alessio Benavoli, Alessandro Antonucci:
On the Complexity of Strong and Epistemic Credal Networks. CoRR abs/1309.6845 (2013) - 2012
- [c13]Alessandro Antonucci:
An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics. Belief Functions 2012: 37-44 - [c12]Giorgio Corani, Alessandro Antonucci, Rocco De Rosa:
Compression-based AODE Classifiers. ECAI 2012: 264-269 - [c11]Alessandro Antonucci, Marco E. G. V. Cattaneo, Giorgio Corani:
Likelihood-Based Robust Classification with Bayesian Networks. IPMU (3) 2012: 491-500 - [i2]Giorgio Corani, Alessandro Antonucci:
Credal Classification based on AODE and compression coefficients. CoRR abs/1203.5716 (2012) - 2011
- [c10]Alessandro Antonucci:
The imprecise noisy-OR gate. FUSION 2011: 1-7 - [c9]Alessandro Antonucci, Rocco De Rosa:
Time Series Classification by Imprecise Hidden Markov Models. WIRN 2011: 195-202 - 2010
- [j6]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): 474-484 (2010) - [j5]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): 1014-1028 (2010) - [j4]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): 1029-1052 (2010) - [c8]Alessandro Antonucci, Fabio Cuzzolin:
Credal Sets Approximation by Lower Probabilities: Application to Credal Networks. IPMU 2010: 716-725 - [i1]Gert de Cooman, Filip Hermans, Alessandro Antonucci, Marco Zaffalon:
Epistemic irrelevance in credal nets: the case of imprecise Markov trees. CoRR abs/1008.2514 (2010)
2000 – 2009
- 2009
- [j3]Alessandro Antonucci, Ralph Brühlmann, Alberto Piatti, Marco Zaffalon:
Credal networks for military identification problems. Int. J. Approx. Reason. 50(4): 666-679 (2009) - [c7]Alessandro Antonucci, Alessio Benavoli, Marco Zaffalon, Gert de Cooman, Filip Hermans:
Multiple model tracking by imprecise markov trees. FUSION 2009: 1767-1774 - [c6]Alessandro Antonucci, Alberto Piatti:
Modeling Unreliable Observations in Bayesian Networks by Credal Networks. SUM 2009: 28-39 - 2008
- [j2]Alessandro Antonucci, Marco Zaffalon:
Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks. Int. J. Approx. Reason. 49(2): 345-361 (2008) - 2007
- [j1]Alessandro Antonucci, Marco Zaffalon:
Fast algorithms for robust classification with Bayesian nets. Int. J. Approx. Reason. 44(3): 200-223 (2007) - [c5]Alessandro Antonucci, Alberto Piatti, Marco Zaffalon:
Credal Networks for Operational Risk Measurement and Management. KES (2) 2007: 604-611 - 2006
- [c4]Alessandro Antonucci, Marco Zaffalon:
Locally specified credal networks. Probabilistic Graphical Models 2006: 25-34 - [c3]Alessandro Antonucci, Marco Zaffalon:
Equivalence Between Bayesian and Credal Nets on an Updating Problem. SMPS 2006: 223-230 - [c2]Alessandro Antonucci, Marco Zaffalon, Jaime Shinsuke Ide, Fábio Gagliardi Cozman:
Binarization Algorithms for Approximate Updating in Credal Nets. STAIRS 2006: 120-131 - 2005
- [c1]Alessandro Antonucci, Marco Zaffalon:
Fast Algorithms for Robust Classification with Bayesian Nets. ISIPTA 2005: 11-20
Coauthor Index
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last updated on 2026-07-28 00:42 CEST by the dblp team
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