Articles with public access mandates - Pablo Moscato - Australian Research CouncilLearn more
Available based on mandate: 39
A novel clustering methodology based on modularity optimisation for detecting authorship affinities in Shakespearean era plays
LM Naeni, H Craig, R Berretta, P Moscato
PloS one 11 (8), e0157988, 2016
Learning to extrapolate using continued fractions: Predicting the critical temperature of superconductor materials
P Moscato, MN Haque, K Huang, J Sloan, J Corrales de Oliveira
Algorithms 16 (8), 382, 2023
Analytic continued fractions for regression: Results on 352 datasets from the physical sciences
P Moscato, H Sun, MN Haque
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
A new combinatorial optimization approach for integrated feature selection using different datasets: a prostate cancer transcriptomic study
N Puthiyedth, C Riveros, R Berretta, P Moscato
PloS one 10 (6), e0127702, 2015
Continued fractions and the Thomson problem
P Moscato, MN Haque, A Moscato
Scientific Reports 13 (1), 7272, 2023
Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs
B Zhang, H Zhang, VH Le, P Moscato, A Zhang
Automated Software Engineering 30 (1), 4, 2023
Multiple regression techniques for modelling dates of first performances of Shakespeare-era plays
P Moscato, H Craig, G Egan, MN Haque, K Huang, J Sloan, ...
Expert Systems with Applications 200, 116903, 2022
The MST-kNN with Paracliques
AS Arefin, C Riveros, R Berretta, P Moscato
Artificial Life and Computational Intelligence: First Australasian …, 2015
Engagement in motion: exploring short term dynamics in page-level social media metrics
B Lucas, AS Arefin, NJ De Vries, R Berretta, J Carlson, P Moscato
2014 IEEE Fourth International Conference on Big Data and Cloud Computing …, 2014
From ensemble learning to meta-analytics: a review on trends in business applications
MN Haque, P Moscato
Business and Consumer Analytics: New Ideas, 703-731, 2019
Separating sets of strings by finding matching patterns is almost always hard
G Lancia, L Mathieson, P Moscato
Theoretical Computer Science 665, 73-86, 2017
The cohesion-based communities of symptoms of the largest component of the DSM-IV network
MN Haque, P Moscato
Journal of Interconnection Networks 19 (01), 1940002, 2019
A multi-objective meta-analytic method for customer churn prediction
MN Haque, NJ de Vries, P Moscato
Business and Consumer Analytics: New Ideas, 781-813, 2019
Alzheimer’s disease patient groups derived from a multivariate analysis of cognitive test outcomes in the Coalition Against Major Diseases dataset
I Tishchenko, C Riveros, P Moscato, Coalition Against Major Diseases
Future science OA 2 (3), FSO140, 2016
Memetic algorithms: A contemporary introduction
C Cotta, JE Gallardo, L Mathieson, P Moscato
Wiley Encyclopedia of Electrical and Electronics Engineering, 1-15, 2016
Beyond statistics: a new combinatorial approach to identifying biomarker panels for the early detection and diagnosis of Alzheimer's disease
EA Milward, P Moscato, C Riveros, DM Johnstone
Journal of Alzheimer's Disease 39 (1), 211-217, 2014
Target curricula via selection of minimum feature sets: A case study in Boolean networks
S Fenn, P Moscato
Journal of Machine Learning Research 18 (114), 1-26, 2017
Quantifying the regeneration of bone tissue in biomedical images via Legendre moments
JA Lachiondo, M Ujaldón, R Berretta, P Moscato
IV Thematic Conf. Computational Vision and Medical Image Processing, Funchal, 2013
Augmented intuition: a bridge between theory and practice
P Moscato, L Mathieson, MN Haque
Journal of Heuristics 27 (4), 497-547, 2021
Datasets for Business and Consumer Analytics
NJ de Vries, P Moscato
Business and Consumer Analytics: New Ideas, 965-987, 2019
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