18 citations · 56 across the 6 of their papers we have counts for
7 papers
Multiple regression techniques for modeling dates of first performances of Shakespeare-era plays
Pablo Moscato, Hugh Craig, Gabriel Egan +4
The date of the first performance of a play of Shakespeare's time must usually be guessed with reference to multiple indirect external sources, or to some aspect of the content or…
Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials
Pablo Moscato, Mohammad Nazmul Haque, Kevin Huang +2
In the field of Artificial Intelligence (AI) and Machine Learning (ML), the approximation of unknown target functions using limited instances $S={(\mathbf{x^{(i)}…
Analytic Continued Fractions for Regression: A Memetic Algorithm Approach
Pablo Moscato, Haoyuan Sun, Mohammad Nazmul Haque
We present an approach for regression problems that employs analytic continued fractions as a novel representation. Comparative computational results using a memetic algorithm are…
mQAPViz: A divide-and-conquer multi-objective optimization algorithm to compute large data visualizations
Claudio Sanhueza, Francia Jiménez, Regina Berretta +1
Algorithms for data visualizations are essential tools for transforming data into useful narratives. Unfortunately, very few visualization algorithms can handle the large datasets…
PasMoQAP: A Parallel Asynchronous Memetic Algorithm for solving the Multi-Objective Quadratic Assignment Problem
Claudio Sanhueza, Francia Jimenez, Regina Berretta +1
Multi-Objective Optimization Problems (MOPs) have attracted growing attention during the last decades. Multi-Objective Evolutionary Algorithms (MOEAs) have been extensively used to…
Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks
Shannon Fenn, Pablo Moscato
We consider the effect of introducing a curriculum of targets when training Boolean models on supervised Multi Label Classification (MLC) problems. In particular, we consider how t…