Articles with public access mandates - Pablo MoscatoLearn more
Not available anywhere: 22
A memetic algorithm for the quadratic assignment problem with parallel local search
M Harris, R Berretta, M Inostroza-Ponta, P Moscato
2015 IEEE congress on evolutionary computation (CEC), 838-845, 2015
Mandates: Australian Research Council
Efficient data partitioning for the GPU computation of moment functions
MJM Requena, P Moscato, M Ujaldón
Journal of Parallel and Distributed Computing 74 (1), 1994-2004, 2014
Mandates: Government of Spain
Available somewhere: 56
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
Mandates: Australian Research Council
Continued fractions and the Thomson problem
P Moscato, MN Haque, A Moscato
Scientific Reports 13 (1), 7272, 2023
Mandates: Australian Research Council
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
Mandates: Australian Research Council
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
Mandates: Australian Research Council
Analytic continued fractions for regression: A memetic algorithm approach
P Moscato, H Sun, MN Haque
Expert Systems with Applications 179, 115018, 2021
Mandates: Australian Research Council
Augmented intuition: a bridge between theory and practice
P Moscato, L Mathieson, MN Haque
Journal of Heuristics 27 (4), 497-547, 2021
Mandates: Australian Research Council
Differential kynurenine pathway metabolism in highly metastatic aggressive breast cancer subtypes: beyond IDO1-induced immunosuppression
B Heng, AA Bilgin, DB Lovejoy, VX Tan, HH Milioli, L Gluch, ...
Breast Cancer Research 22, 1-14, 2020
Mandates: Australian Research Council, National Health and Medical Research Council …
Anomaly detection via mining numerical workflow relations from logs
B Zhang, H Zhang, P Moscato, A Zhang
2020 International Symposium on Reliable Distributed Systems (SRDS), 195-204, 2020
Mandates: Australian Research Council
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
Mandates: Australian Research Council
Automatic discovery and cleansing of numerical metamorphic relations
B Zhang, H Zhang, J Chen, D Hao, P Moscato
2019 IEEE International Conference on Software Maintenance and Evolution …, 2019
Mandates: National Natural Science Foundation of China
Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility
International Multiple Sclerosis Genetics Consortium*†, ANZgene, ...
Science 365 (6460), eaav7188, 2019
Mandates: US National Institutes of Health, Research Foundation (Flanders), Danish …
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
Mandates: Australian Research Council
An adaptive memetic algorithm for feature selection using proximity graphs
A Abu Zaher, R Berretta, N Noman, P Moscato
Computational Intelligence 35 (1), 156-183, 2019
Mandates: Australian Research Council
Datasets for Business and Consumer Analytics
NJ de Vries, P Moscato
Business and Consumer Analytics: New Ideas, 965-987, 2019
Mandates: Australian Research Council
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
Mandates: Australian Research Council
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
Mandates: Australian Research Council
An accelerated introduction to memetic algorithms
P Moscato, C Cotta
Handbook of metaheuristics, 275-309, 2019
Mandates: Australian Research Council, Government of Spain
Basal-like breast cancer: molecular profiles, clinical features and survival outcomes
HH Milioli, I Tishchenko, C Riveros, R Berretta, P Moscato
BMC medical genomics 10, 1-17, 2017
Mandates: Australian Research Council, Cancer Research UK
Publication and funding information is determined automatically by a computer program