8 citations · 8 across the 2 of their papers we have counts for
4 papers
Counting Moves, Weighing Voices: Bayesian Dialectical Argumentation for Calibrated Multi-LLM Councils under Persistent Adversaries
Ionel Eduard Stan, Paolo Napoletano
A multi-LLM \emph{council} lets several large language models (LLMs) deliberate on a question and return an answer together with a confidence estimate. As these systems become incr…
Symbolic Audio Classification via Modal Decision Tree Learning
Enrico Marzano, Giovanni Pagliarini, Riccardo Pasini +2
The range of potential applications of acoustic analysis is wide. Classification of sounds, in particular, is a typical machine learning task that received a lot of attention in re…
Knowledge Extraction with Interval Temporal Logic Decision Trees
Guido Sciavicco, Stan Ionel Eduard
Multivariate temporal, or time, series classification is, in a way, the temporal generalization of (numeric) classification, as every instance is described by multiple time series…
Interval Temporal Logic Decision Tree Learning
Andrea Brunello, Guido Sciavicco, Ionel Eduard Stan
Decision trees are simple, yet powerful, classification models used to classify categorical and numerical data, and, despite their simplicity, they are commonly used in operations…