activity
20202026
most citedDyslexia and Dysgraphia prediction: A new machine learning approach

8 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

From numerical proportions to analogical proportions between probabilities

Henri Prade, Gilles Richard

Analogical proportions link four items a, b, c, d by a relation stating that ``a is to b as c is to d", a, b, c, d being the formal representation of real world entities, ranging f…

cs.AI2025★ 1 cited

Ranking Counterfactual Explanations

Suryani Lim, Henri Prade, Gilles Richard

AI-driven outcomes can be challenging for end-users to understand. Explanations can address two key questions: "Why this outcome?" (factual) and "Why not another?" (counterfactual)…

cs.AI2024

Frank's triangular norms in Piaget's logical proportions

Henri Prade, Gilles Richard

Starting from the Boolean notion of logical proportion in Piaget's sense, which turns out to be equivalent to analogical proportion, this note proposes a definition of analogical p…

cs.CL2023

Analogical Proportions and Creativity: A Preliminary Study

Stergos Afantenos, Henri Prade, Leonardo Cortez Bernardes

Analogical proportions are statements of the form " is to as is to ", which expresses that the comparisons of the elements in pair and in pair yield…

cs.LG2023

Analogical Relevance Index

Suryani Lim, Henri Prade, Gilles Richard

Focusing on the most significant features of a dataset is useful both in machine learning (ML) and data mining. In ML, it can lead to a higher accuracy, a faster learning process,…

cs.AI2022

Some recent advances in reasoning based on analogical proportions

Myriam Bounhas, Henri Prade, Gilles Richard

Analogical proportions compare pairs of items (a, b) and (c, d) in terms of their differences and similarities. They play a key role in the formalization of analogical inference. T…