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09/20/2023
Hierarchical Multi-Agent Reinforcement Learning for Air Combat Maneuvering
The application of artificial intelligence to simulate air-to-air combat...
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07/31/2023
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources
We address the problem of integrating data from multiple, possibly biase...
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07/17/2023
Efficient Computation of Counterfactual Bounds
We assume to be given structural equations over discrete variables induc...
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06/16/2023
MementoHash: A Stateful, Minimal Memory, Best Performing Consistent Hash Algorithm
Consistent hashing is used in distributed systems and networking applica...
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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...
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09/07/2022
Modelling Assessment Rubrics through Bayesian Networks: a Pragmatic Approach
Automatic assessment of learner competencies is a fundamental task in in...
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07/26/2022
Bounding Counterfactuals under Selection Bias
Causal analysis may be affected by selection bias, which is defined as t...
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07/19/2022
Probabilistic Reconciliation of Count Time Series
We propose a principled method for the reconciliation of any probabilist...
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01/20/2022
Belief Revision in Sentential Decision Diagrams
Belief revision is the task of modifying a knowledge base when new infor...
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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...
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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...
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07/07/2021
Humans as Path-Finders for Safe Navigation
One of the most important barriers toward a widespread use of mobile rob...
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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...
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05/10/2021
CREPO: An Open Repository to Benchmark Credal Network Algorithms
Credal networks are a popular class of imprecise probabilistic graphical...
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03/08/2021
Robust Model Checking with Imprecise Markov Reward Models
In recent years probabilistic model checking has become an important are...
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11/27/2020
Relation Clustering in Narrative Knowledge Graphs
When coping with literary texts such as novels or short stories, the ext...
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11/04/2020
EM Based Bounding of Unidentifiable Queries in Structural Causal Models
A structural causal model is made of endogenous (manifest) and exogenous...
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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)...
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08/19/2020
Tractable Inference in Credal Sentential Decision Diagrams
Probabilistic sentential decision diagrams are logic circuits where the ...
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08/02/2020
Structural Causal Models Are (Solvable by) Credal Networks
A structural causal model is made of endogenous (manifest) and exogenous...
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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...
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03/19/2020
Temporal Embeddings and Transformer Models for Narrative Text Understanding
We present two deep learning approaches to narrative text understanding ...
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02/12/2020
A Bayesian Approach to Conversational Recommendation Systems
We present a conversational recommendation system based on a Bayesian ap...
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02/12/2020
Approximate MMAP by Marginal Search
We present a heuristic strategy for marginal MAP (MMAP) queries in graph...
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08/01/2018
Imaginary Kinematics
We introduce a novel class of adjustment rules for a collection of belie...
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06/21/2018
A Credal Extension of Independent Choice Logic
We propose an extension of Poole's independent choice logic based on a r...
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02/15/2018
Reliable Uncertain Evidence Modeling in Bayesian Networks by Credal Networks
A reliable modeling of uncertain evidence in Bayesian networks based on ...
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09/26/2013
On the Complexity of Strong and Epistemic Credal Networks
Credal networks are graph-based statistical models whose parameters take...
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08/15/2010
