Alessandro Antonucci | DeepAI

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Featured Co-authors

Stefano Leonardi
29 publications
Marco Zaffalon
28 publications
Alessio Benavoli
21 publications
Gert de Cooman
16 publications
Giorgio Corani
14 publications
Dario Azzimonti
14 publications
Alessandro Facchini
10 publications
Rafael Cabañas
9 publications
Cassio Polpo de Campos
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Francesca Mangili
6 publications
Daniele Fontanelli
6 publications

∙ 12/06/2022

Learning to Bound Counterfactual Inference in Structural Causal Models from Observational and Randomised Data

We address the problem of integrating data from multiple observational a...

0 Marco Zaffalon, et al. ∙

∙ 09/07/2022

Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach

Automatic assessment of learner competencies is a fundamental task in in...

0 Francesca Mangili, et al. ∙

∙ 07/26/2022

Bounding Counterfactuals under Selection Bias

Causal analysis may be affected by selection bias, which is defined as t...

0 Marco Zaffalon, et al. ∙

∙ 07/19/2022

Probabilistic Reconciliation of Count Time Series

We propose a principled method for the reconciliation of any probabilist...

0 Giorgio Corani, et al. ∙

∙ 01/20/2022

Belief Revision in Sentential Decision Diagrams

Belief revision is the task of modifying a knowledge base when new infor...

0 Lilith Mattei, et al. ∙

∙ 12/29/2021

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

We introduce ADAPQUEST, a software tool written in Java for the developm...

0 Claudio Bonesana, et al. ∙

∙ 07/26/2021

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

Probabilistic sentential decision diagrams are a class of structured-dec...

0 Alessandro Antonucci, et al. ∙

∙ 07/07/2021

Humans as Path-Finders for Safe Navigation

One of the most important barriers toward a widespread use of mobile rob...

0 Alessandro Antonucci, et al. ∙

∙ 05/25/2021

A New Score for Adaptive Tests in Bayesian and Credal Networks

A test is adaptive when its sequence and number of questions is dynamica...

0 Alessandro Antonucci, et al. ∙

∙ 05/10/2021

CREPO: An Open Repository to Benchmark Credal Network Algorithms

Credal networks are a popular class of imprecise probabilistic graphical...

0 Rafael Cabañas, et al. ∙

∙ 03/08/2021

Robust Model Checking with Imprecise Markov Reward Models

In recent years probabilistic model checking has become an important are...

0 Alberto Termine, et al. ∙

∙ 11/27/2020

Relation Clustering in Narrative Knowledge Graphs

When coping with literary texts such as novels or short stories, the ext...

0 Simone Mellace, et al. ∙

∙ 11/04/2020

EM Based Bounding of Unidentifiable Queries in Structural Causal Models

A structural causal model is made of endogenous (manifest) and exogenous...

0 Marco Zaffalon, et al. ∙

∙ 10/02/2020

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

Lexical semantic change detection (also known as semantic shift tracing)...

0 K Vani, et al. ∙

∙ 08/19/2020

Tractable Inference in Credal Sentential Decision Diagrams

Probabilistic sentential decision diagrams are logic circuits where the ...

0 Lilith Mattei, et al. ∙

∙ 08/02/2020

Structural Causal Models Are (Solvable by) Credal Networks

A structural causal model is made of endogenous (manifest) and exogenous...

0 Marco Zaffalon, et al. ∙

∙ 06/15/2020

Generating Reliable and Efficient Predictions of Human Motion: A Promising Encounter between Physics and Neural Networks

Generating accurate and efficient predictions for the motion of the huma...

0 Alessandro Antonucci, et al. ∙

∙ 03/19/2020

Temporal Embeddings and Transformer Models for Narrative Text Understanding

We present two deep learning approaches to narrative text understanding ...

0 Vani K, et al. ∙

∙ 02/12/2020

A Bayesian Approach to Conversational Recommendation Systems

We present a conversational recommendation system based on a Bayesian ap...

0 Francesca Mangili, et al. ∙

∙ 02/12/2020

Approximate MMAP by Marginal Search

We present a heuristic strategy for marginal MAP (MMAP) queries in graph...

0 Alessandro Antonucci, et al. ∙

∙ 08/01/2018

Imaginary Kinematics

We introduce a novel class of adjustment rules for a collection of belie...

0 Sabina Marchetti, et al. ∙

∙ 06/21/2018

A Credal Extension of Independent Choice Logic

We propose an extension of Poole's independent choice logic based on a r...

0 Alessandro Antonucci, et al. ∙

∙ 02/15/2018

Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks

A reliable modeling of uncertain evidence in Bayesian networks based on ...

0 Sabina Marchetti, et al. ∙

∙ 09/26/2013

On the Complexity of Strong and Epistemic Credal Networks

Credal networks are graph-based statistical models whose parameters take...

0 Denis D. Mauá, et al. ∙

∙ 08/15/2010

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

We focus on credal nets, which are graphical models that generalise Baye...

0 Gert de Cooman, et al. ∙