16 citations · 28 across the 4 of their papers we have counts for
4 papers
Synergies between low- and intermediate-redshift galaxy populations revealed with unsupervised machine learning
Sebastian Turner, Małgorzata Siudek, Samir Salim +10
The colour bimodality of galaxies provides an empirical basis for theories of galaxy evolution. However, the balance of processes that begets this bimodality has not yet been const…
The Partial Response Network: a neural network nomogram
Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman +1
Among interpretable machine learning methods, the class of Generalised Additive Neural Networks (GANNs) is referred to as Self-Explaining Neural Networks (SENN) because of the line…
A Probabilistic framework for Quantum Clustering
Raúl V. Casaña-Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell +2
Quantum Clustering is a powerful method to detect clusters in data with mixed density. However, it is very sensitive to a length parameter that is inherent to the Schrödinger equat…
Bioinformatics and Medicine in the Era of Deep Learning
Davide Bacciu, Paulo J. G. Lisboa, José D. Martín +2
Many of the current scientific advances in the life sciences have their origin in the intensive use of data for knowledge discovery. In no area this is so clear as in bioinformatic…