Probabilistic Circuits: an Overview

Cassio De Campos

Possibilistic Provenance

Didier Dubois and Henri Prade

Transfer Learning Approach for High-Imbalance and Multi-Class Classification of Fluorescence Images

Vincenzo Taormina, Domenico Tegolo and Cesare Valenti

An Ontology-Based Approach for Handling Inconsistency in Explainable and Prioritized Access Control Models

Ahmed Laouar, Toky Hajatiana Raboanary and Salem Benferhat

Credibility-Limited Revision for Epistemic Spaces

Kai Sauerwald

Entropic Regularization Schemes for Learning Fuzzy Similarity Measures Based on the D-Choquet Integral

Christophe Marsala, Davide Petturiti and Barbara Vantaggi

Accelerate K-Modes Using the Triangle Inequality

Vu-Linh Nguyen, Toan Nguyen-Mau and Van-Nam Huynh

Bel Coalitional Games

Michel Grabisch and Silvia Lorenzini

Flexible Risk Aware Sequential Decision Making

Nadjet Bourdache

Inconsistency Measurement in LTLf Based on Minimal Inconsistent Sets and Minimal Correction Sets

Isabelle Kuhlmann and Carl Corea

Social Ranking Under Incomplete Knowledge: Elicitation of the Lex-Cel Necessary Winners

Ariane Ravier, Sébastien Konieczny, Stefano Moretti and Paolo Viappiani

Looking at Conditionals Within the Possibilistic Framework

Lluis Godo

Imprecise Dynamic Value-at-Risk Induced by a DS-Bivariate Random Walk

Andrea Cinfrignini, Davide Petturiti and Barbara Vantaggi

Soft Probabilistic Discrete Bayesian Classifier

Wenlong Chen, Cyprien Gilet, Benjamin Quost and Sebastien Destercke

Artificial and Human Cognition Under Uncertainty

Niki Pfeifer

Counterfactuals as Modal Conditionals, and Their Probability

Giuliano Rosella, Tommaso Flaminio and Stefano Bonzio

Frank’s Triangular Norms in Piaget’s Logical Proportions

Henri Prade and Gilles Richard

Boolean Weighting in Possibilistic Logic. Lattice-Valued Generalized Possibilistic Logic: Completeness and Examples

Didier Dubois and Henri Prade

A Reinforcement Learning Approach for Resolving Inconsistencies in Qualitative Constraint Networks

Anastasia Paparrizou, Michael Sioutis and Yoan Thomas

Discrete Minimax Binary Relevance Classifier for Imbalanced Multi-Label Classification

Salvador Madrigal Castillo, Cyprien Gilet, Vu-Linh Nguyen and Sébastien Destercke

SDF-FuzzIA: a Fuzzy-Ontology Based Plug-in for the Intelligent Analysis of Geo-Thematic Data

Giuseppe Filippone, Gianmarco La Rosa and Marco Elio Tabacchi

MIP Outer Belief Approximations of Lower Conditional Joint CDFs in Statistical Matching Problems

Marco Baioletti, Andrea Capotorti, Davide Petturiti and Barbara Vantaggi

The Milestone of Coherent Probabilities in the AI and Big Data Pathway

Andrea Capotorti

Compact Solution Representation in Qualitative Constraint-Based Reasoning

Yakoub Salhi and Michael Sioutis

Towards a Logical Framework for Reasoning with Stereotypes

Florence Dupin de Saint-Cyr, Francis Faux and Sabine Frittella

Estimating Causal Effects in Partially Directed Parametric Causal Factor Graphs

Malte Luttermann, Tanya Braun, Ralf Möller and Marcel Gehrke

Contribution of Subsets of Variables in Global Sensitivity Analysis with Dependent Variables

Christophe Labreuche

Stability of Extensions in Incomplete Argumentation Frameworks

Anshu Xiong, Huan Zhang and Songmao Zhang