Alessandro Antonucci

发表

Approximating Credal Network Inferences by Linear Programming

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2013, ECSQARU.

Proceedings of the Eighth International Conference onProbabilistic Graphical Models

Giorgio Corani, Alessandro Antonucci, Cassio Polpo spane Campos, 2016, PGM 2016.

Machine Learning for Real-Time Analysis of Reader Attention by Facial Expression and Eye Tracking Data.

Francesca Mangili, Alessandro Antonucci, Maria Fani Poulopoulou, 2018 .

Locally specified credal networks

Marco Zaffalon, Alessandro Antonucci, 2006, Probabilistic Graphical Models.

Credal Sentential Decision Diagrams

Alessandro Facchini, Alessandro Antonucci, Lilith Mattei, 2019, ISIPTA.

Towards a Predictive Behavioural Model for Service Robots in Shared Environments

Daniele Fontanelli, Alessandro Antonucci, D. Fontanelli, 2018, 2018 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO).

Set-Valued Probabilistic Sentential Decision Diagrams

Alessandro Facchini, Alessandro Antonucci, 2018, PLP@ILP.

Generalized loopy 2U: A new algorithm for approximate inference in credal networks

Yi Sun, Marco Zaffalon, Alessandro Antonucci, 2010, Int. J. Approx. Reason..

Decision-theoretic specification of credal networks: A unified language for uncertain modeling with sets of Bayesian networks

Marco Zaffalon, Alessandro Antonucci, Marco Zaffalon, 2008, Int. J. Approx. Reason..

Credal Networks for Hazard Assessment of Debris Flows

Marco Zaffalon, Alessandro Antonucci, Andrea Salvetti, 2007 .

Relation Clustering in Narrative Knowledge Graphs pdf

Alessandro Antonucci, Simone Mellace, K Vani, 2020, AI4Narratives@IJCAI.

Global Sensitivity Analysis for MAP Inference in Graphical Models

Alessandro Antonucci, Cassio Polpo de Campos, Jasper De Bock, 2014, NIPS.

CREDO: A military decision-support system based on credal networks

Marco Zaffalon, Alessandro Antonucci, David Huber, 2013, Proceedings of the 16th International Conference on Information Fusion.

Modeling Deterministic Equations in Discrete Bayesian Networks by Credal Networks

Alessandro Antonucci, 2018 .

SST-BERT at SemEval-2020 Task 1: Semantic Shift Tracing by Clustering in BERT-based Embedding Spaces

Fabio Rinaldi, Alessandro Antonucci, Sandra Mitrovic, 2020, SEMEVAL.

Algorithms for Hidden Markov Models with Imprecisely Specified Parameters

Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos, 2014, 2014 Brazilian Conference on Intelligent Systems.

Temporal Embeddings and Transformer Models for Narrative Text Understanding

Alessandro Antonucci, Simone Mellace, K Vani, 2020, Text2Story@ECIR.

Approximate credal network updating by linear programming with applications to decision making

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2015, Int. J. Approx. Reason..

Imprecision in Machine Learning and AI

Alessandro Antonucci, Cassio Polpo de Campos, 2015, IEEE Intell. Informatics Bull..

Time Series Classification by Imprecise Hidden Markov Models

Alessandro Antonucci, Rocco De Rosa, 2011, WIRN.

Active Learning by the Naive Credal Classifier

Giorgio Corani, Alessandro Antonucci, Sandra Bernaschina, 2012 .

Equivalence Between Bayesian and Credal Nets on an Updating Problem

Marco Zaffalon, Alessandro Antonucci, Marco Zaffalon, 2006, SMPS.

The multilabel naive credal classifier

Giorgio Corani, Alessandro Antonucci, Giorgio Corani, 2017, Int. J. Approx. Reason..

Reliable Knowledge-Based Adaptive Tests by Credal Networks

Francesca Mangili, Claudio Bonesana, Alessandro Antonucci, 2017, ECSQARU.

Temporal Word Embeddings for Narrative Understanding

Alessandro Antonucci, Claudia Volpetti, K. Vani, 2020, ICMLC.

Adaptive systems for foreign languages learning: towards a new tool in Canton Ticino (Switzerland).

Elisa Rubegni, Francesca Mangili, Alessandro Antonucci, 2016 .

Compression-based AODE Classifiers

Giorgio Corani, Alessandro Antonucci, Rocco De Rosa, 2012, ECAI.

Structural Causal Models Are (Solvable by) Credal Networks pdf

Marco Zaffalon, Alessandro Antonucci, Rafael Cabanas, 2020, PGM.

On the Complexity of Strong and Epistemic Credal Networks pdf

Denis Deratani Mauá, Alessio Benavoli, Alessandro Antonucci, 2013, UAI.

Fast algorithms for robust classification with Bayesian nets

Marco Zaffalon, Alessandro Antonucci, Marco Zaffalon, 2007, Int. J. Approx. Reason..

Evaluating interval-valued influence diagrams

Rafael Cabañas, Alessandro Antonucci, Andrés Cano, 2017, Int. J. Approx. Reason..

Multiple model tracking by imprecise markov trees

Gert de Cooman, Filip Hermans, Marco Zaffalon, 2009, 2009 12th International Conference on Information Fusion.

The imprecise noisy-OR gate

Alessandro Antonucci, Alessandro Antonucci, 2011, 14th International Conference on Information Fusion.

Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks pdf

Alessandro Antonucci, Sabina Marchetti, Alessandro Antonucci, 2018, FLAIRS.

Robust classification of multivariate time series by imprecise hidden Markov models

Alessandro Giusti, Fabio Cuzzolin, Alessandro Antonucci, 2015, Int. J. Approx. Reason..

Conversational Recommender System by Bayesian Methods

Francesca Mangili, Alessandro Antonucci, Denis Broggini, 2020, SUM.

Technical Gestures Recognition by Set-Valued Hidden Markov Models with Prior Knowledge

Sébastien Destercke, Alessandro Antonucci, Yann Soullard, 2016, SMPS.

A Credal Extension of Independent Choice Logic pdf

Alessandro Facchini, Alessandro Antonucci, Alessandro Antonucci, 2018, SUM.

An Interval-Valued Dissimilarity Measure for Belief Functions Based on Credal Semantics

Alessandro Antonucci, 2012, Belief Functions.

EM Based Bounding of Unidentifiable Queries in Structural Causal Models pdf

Marco Zaffalon, Alessandro Antonucci, Rafael Cabanas, 2020, ArXiv.

Approximate MMAP by Marginal Search pdf

Alessandro Antonucci, Thomas Tiotto, 2020, FLAIRS Conference.

Imprecise probabilistic graphical models

Alessandro Antonucci, 2008 .

Imprecise Probabilistic Graphical Models: Equivalent Representations, Inference Algorithms and Applications

Alessandro Antonucci, Alessandro Antonucci, 2008 .

Imaginary Kinematics

Alessandro Antonucci, Sabina Marchetti, Alessandro Antonucci, 2018, UAI.

Likelihood-Based Robust Classification with Bayesian Networks

Giorgio Corani, Alessandro Antonucci, Marco E. G. V. Cattaneo, 2012, IPMU.

Decision Making with Hierarchical Credal Sets

Alessandro Antonucci, David Sundgren, Alexander Karlsson, 2014, IPMU.

NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning

Alessandro Antonucci, K. Vani, 2019, Text2Story@ECIR.

Probabilistic graphical models

Marco Zaffalon, Alessandro Antonucci, Cassio Polpo de Campos, 2014 .

JavaQCredo: A Software for Qualitative Credal Networks

Alessandro Antonucci, Marco Zaalon, Mikol Faro, 2011 .

Trading off Speed and Accuracy in Multilabel Classification

Denis Deratani Mauá, Giorgio Corani, Alessandro Antonucci, 2014, Probabilistic Graphical Models.

Hidden Markov models with set-valued parameters

Denis Deratani Mauá, Alessandro Antonucci, Cassio Polpo de Campos, 2016, Neurocomputing.

Binarization Algorithms for Approximate Updating in Credal Nets

Fabio Gagliardi Cozman, Fábio Gagliardi Cozman, Marco Zaffalon, 2006, STAIRS.

Variable Elimination for Interval-Valued Influence Diagrams

Rafael Cabañas, Alessandro Antonucci, Andrés Cano, 2015, ECSQARU.

Symbolic and Quantitative Approaches to Reasoning with Uncertainty

Odile Papini, Alessandro Antonucci, Laurence Cholvy, 2017, Lecture Notes in Computer Science.

Modeling Unreliable Observations in Bayesian Networks by Credal Networks

Alessandro Antonucci, Alberto Piatti, Alessandro Antonucci, 2009, SUM.

Reliable Discretization of Deterministic Equations in Bayesian Networks

Alessandro Antonucci, 2019, FLAIRS Conference.

Efficient Prediction of Human Motion for Real-Time Robotics Applications With Physics-Inspired Neural Networks pdf

Luigi Palopoli, Daniele Fontanelli, Alessandro Antonucci, 2020, IEEE Access.

Credal ensembles of classifiers

Giorgio Corani, Alessandro Antonucci, Giorgio Corani, 2014, Comput. Stat. Data Anal..

An aggregation framework based on coherent lower previsions: Application to Zadeh's paradox and sensor networks

Alessio Benavoli, Alessandro Antonucci, 2010, Int. J. Approx. Reason..

Credal Classification based on AODE and compression coefficients pdf

Giorgio Corani, Alessandro Antonucci, Giorgio Corani, 2012, ArXiv.

Credal Sets Approximation by Lower Probabilities: Application to Credal Networks

Fabio Cuzzolin, Alessandro Antonucci, Fabio Cuzzolin, 2010, IPMU.

An Ensemble of Bayesian Networks for Multilabel Classification

Denis Deratani Mauá, Giorgio Corani, Alessandro Antonucci, 2013, IJCAI.

Adaptive testing by Bayesian networks with application to language assessment

Elisa Rubegni, Marco Zaffalon, Francesca Mangili, 2016 .

Tractable Inference in Credal Sentential Decision Diagrams

Alessandro Facchini, Alessandro Antonucci, Julissa Villanueva Llerena, 2020, Int. J. Approx. Reason..

Epistemic irrelevance in credal nets: The case of imprecise Markov trees

Gert de Cooman, Filip Hermans, Marco Zaffalon, 2010, Int. J. Approx. Reason..

Probabilistic Inference in Credal Networks: New Complexity Results

Denis Deratani Mauá, Alessio Benavoli, Alessandro Antonucci, 2014, J. Artif. Intell. Res..

Credal Networks for Operational Risk Measurement and Management

Marco Zaffalon, Alessandro Antonucci, Alberto Piatti, 2007, KES.

Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17)

Sébastien Destercke, Inés Couso, Giorgio Corani, 2019, Int. J. Approx. Reason..

Credal networks for military identification problems

Marco Zaffalon, Alessandro Antonucci, Alberto Piatti, 2009, Int. J. Approx. Reason..

Robust Model Checking with Imprecise Markov Reward Models

Giuseppe Primiero, Alessandro Facchini, Alessandro Antonucci, 2021, ISIPTA.

ADAPQUEST: A Software for Web-Based Adaptive Questionnaires based on Bayesian Networks pdf

Francesca Mangili, Claudio Bonesana, Alessandro Antonucci, 2021, ArXiv.

A New Score for Adaptive Tests in Bayesian and Credal Networks pdf

Francesca Mangili, Claudio Bonesana, Alessandro Antonucci, 2021, ECSQARU.

Efficient Prediction of Human Motion for Real-Time Robotics Applications With Physics-Inspired Neural Networks

Luigi Palopoli, Daniele Fontanelli, Alessandro Antonucci, 2022, IEEE Access.

Logic and Model Checking by Imprecise Probabilistic Interpreted Systems

Giuseppe Primiero, Alessandro Facchini, Alessandro Antonucci, 2021, EUMAS.

Belief Revision in Sentential Decision Diagrams

Alessandro Facchini, Alessandro Antonucci, Lilith Mattei, 2022 .

CREPO: An Open Repository to Benchmark Credal Network Algorithms pdf

Alessandro Antonucci, Rafael Cabanas, Alessandro Antonucci, 2021, ISIPTA.

Humans as Path-Finders for Safe Navigation pdf

Luigi Palopoli, Daniele Fontanelli, Stefano Leonardi, 2021, ArXiv.

Cautious Classification with Data Missing Not at Random Using Generative Random Forests

Denis Deratani Mauá, Alessandro Antonucci, Julissa Villanueva Llerena, 2021, ECSQARU.

Uncertain reasoning

Salem Benferhat, Kamal Premaratne, Alessandro Antonucci, 2021, Ann. Math. Artif. Intell..

Structural Learning of Probabilistic Sentential Decision Diagrams under Partial Closed-World Assumption pdf

Alessandro Facchini, Alessandro Antonucci, Lilith Mattei, 2021, ArXiv.

Spatially Distributed Identification of Debris Flow Source Areas by Credal Networks

Marco Zaffalon, Alessandro Antonucci, Andrea Salvetti, 2008 .

Assessing Debris Flow Hazard by Credal Nets

Marco Zaffalon, Alessandro Antonucci, Andrea Salvetti, 2004 .

Aggregating Imprecise Probabilistic Knowledge

Alessio Benavoli, Alessandro Antonucci, 2009 .