Haque, Mohammad Nazmul, de Vries, Natalie Jane, Moscato, Pablo. Springer; 2019. A Multi-objective Meta-Analytic Method for Customer Churn Prediction.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2012. Computing large-scale distance matrices on GPU.

Sun, Haoyuan, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2019. A Memetic Algorithm for Symbolic Regression.

Zaher, Amer Abu, Berretta, Regina, Arefin, Ahmed Shamsul, Moscato, Pablo. Australian Computer Society (ACS); 2015. FSMEC: a feature selection method based on the minimum spanning tree and evolutionary computation.

Naeni, Leila M., Craig, Hugh, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLOS); 2016. A novel clustering methodology based on modularity optimisation for detecting authorship affinities in Shakespearean era plays.

Berretta, Regina, Mendes, Alexandre, Moscato, Pablo. Australian Computer Society; 2007. Selection of discriminative genes in microarray experiments using mathematical programming.

Casanova, Ramon, Varma, Sudhir, Wahrheit, Judith, Klavins, Kristaps, Jonsson, Palmi V., Eiriksdottir, Gudny, Aspelund, Thor, Launer, Lenore J., Gudnason, Vilmundur, Quigley, Cristinia Legido, Thambisetty, Madhav, Simpson, Brittany, Kim, Min, An, Yang, Saldana, Santiago, Riveros, Carlos, Moscato, Pablo, Griswold, Michael, Sonntag, Denise. Elsevier; 2016. Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals.

Fitzsimmons, Jake, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2018. Symbolic regression modeling of drug responses.

Haque, Mohammad Nazmul, Moscato, Pablo. Springer Nature; 2019. From ensemble learning to meta-analytics: a review on trends in business applications.

de Vries, Natalie Jane, Reis, Rodrigo, Moscato, Pablo. Public Library of Science (PLoS); 2015. Clustering consumers based on trust, confidence and giving behaviour: data-driven model building for charitable involvement in the Australian not-for-profit sector.

Gabardo, Ademir, Berretta, Regina, Moscato, Pablo. Springer Cham; 2019. Overlapping communities in co-purchasing and social interaction graphs: a memetic approach.

Jesús Martín Requena, Manuel, Moscato, Pablo, Ujaldóna, Manuel. Elsevier; 2014. Efficient data partitioning for the GPU computation of moment functions.

Haque, Mohammad Nazmul, Moscato, Pablo. World Scientific Publishing; 2019. The cohesion-based communities of symptoms of the largest component of the DSM-IV network.

Moscato, Pablo, Haque, Mohammad Nazmul, Huang, Kevin, Sloan, Julia, Corrales de Oliveira, Jonathon. MDPI AG; 2023. Learning to Extrapolate Using Continued Fractions: Predicting the Critical Temperature of Superconductor Materials.

Rogers, Brendan, Noman, Nasimul, Chalup, Stephan, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2022. Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification.

Harris, Matthew, Berretta, Regina, Inostroza-Ponta, Mario, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2015. A memetic algorithm for the quadratic assignment problem with parallel local search.

Moscato, Pablo, Ciezak, Andrew, Noman, Nasimul. Association for Computing Machinery; 2023. Dynamic Depth for Better Generalization in Continued Fraction Regression.

Moscato, Pablo, Grebogi, Rafael. Nature Publishing Group; 2024. Approximating the nuclear binding energy using analytic continued fractions.

Gabardo, Ademir C., Berretta, Regina, de Vries, Natalie J., Moscato, Pablo. Springer; 2017. Where does my brand end? An overlapping community approach.

Cortes, Adrian, Field, Judith, Glazov, Evgeny A., Hadler, Johanna, ANZgene Consortium,, Stankovich, Jim, Brown, Matthew A., Lechner-Scott, Jeannette, Moscato, Pablo. Oxford University Press; 2013. Resequencing and fine-mapping of the chromosome 12q13-14 locus associated with multiple sclerosis refines the number of implicated genes.

Moslemi Naeni, Leila, Berretta, Regina, Moscato, Pablo. Springer; 2015. MA-Net: a reliable memetic algorithm for community detection by modularity optimization.

Inostroza-Ponta, Mario, de Vries, Natalie Jane, Moscato, Pablo. Springer; 2018. World's best universities and personalized rankings.

Ravetti, Martin Gómez, Berretta, Regina, Moscato, Pablo. Springer; 2009. Novel biomarkers for prostate cancer revealed by (α,β)-k-feature sets.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Springer Berlin Heidelberg; 2012. kNN-Borůvka-GPU: a fast and scalable MST construction from <i>k</i>NN graphs on GPU.

Mathieson, Luke, Moscato, Pablo. Springer; 2019. An Introduction to Proximity Graphs.

Galvão, Lauro Cesar, Nunes, Luiz Fernando, Lopes, Heitor Silvério, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2012. A new greedy heuristic for 3DHP protein struture prediction with side chain.

Mathieson, Luke, De Vries, Natalie Jane, Moscato, Pablo. Springer Cham; 2019. Using network alignment to identify conserved consumer behaviour modelling constructs.

Hourani, Mou'Ath, Berretta, Regina, Mendes, Alexandre, Moscato, Pablo. Humana Press; 2008. Genetic signatures for a rodent model of Parkinson's disease using combinatorial optimization methods.

Puthiyedth, Nisha, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLoS); 2016. Identification of differentially expressed genes through integrated study of alzheimer's disease affected brain regions.

Inostroza-Ponta, Mario, de Vries, Natalie Jane, Moscato, Pablo. Springer; 2017. World's best universities and personalized rankings.

Inostroza-Ponta, Mario, Berretta, Regina, Moscato, Pablo. Public Library of Science; 2011. QAPgrid: a two level QAP-based approach for large-scale data analysis and visualization.

Moscato, Pablo, Mathieson, Luke. Springer Cham; 2019. Memetic algorithms for business analytics and data science: a brief survey.

Lachiondo, José A., Ujaldón, Manuel, Berretta, Regina, Moscato, Pablo. Taylor & Francis; 2016. Legendre moments as high performance bone biomarkers: computational methods and GPU acceleration.

Fenn, Shannon, Moscato, Pablo. MIT Press; 2017. Target curricula via selection of minimum feature sets: a case study in Boolean networks.

Ma, Gerry Z. M., Stankovich, Jim, Browning, Sharon R., Butzkueven, Helmut, Carroll, William M., Danoy, Patrick, Foote, Simon J., Griffiths, Lyn, Heard, Robert N., Kermode, Allan G., Lechner-Scott, Jeannette, Moscato, Pablo, Kilpatrick, Trevor J., Perreau, Victoria M., Scott, Rodney J., Slee, Mark, Stewart, Graeme J., Taylor, Bruce V., Wiley, James, Stankovich, Jim, Binder, Michele D., Field, Judith, Bahlo, Melanie, Booth, David R., Broadley, Simon, Brown, Matthew A., Browning, Brian L.. Public Library of Science; 2011. Polymorphisms in the receptor tyrosine kinase MERTK gene are associated with multiple sclerosis susceptibility.

Johnstone, Daniel M., Riveros, Carlos, Heidari, Moones, Graham, Ross M., Trinder, Debbie, Berretta, Regina, Olynyk, John K., Scott, Rodney J., Moscato, Pablo, Milward, Elizabeth A.. MDPI AG; 2013. Evaluation of different normalization and analysis procedures for Illumina gene expression microarray data involving small changes.

Riveros, Carlos, Ujaldón, Manuel, Moscato, Pablo. Bentham Science Publishers; 2016. GPU acceleration of an entroy-based model to quantify epistatic interactions between SNPs.

Rocha de Paula, Mateus, Gómez Ravetti, Martín, Berretta, Regina, Moscato, Pablo. Public Library of Science; 2011. Differences in abundances of cell-signalling proteins in blood reveal novel biomarkers for early detection of clinical Alzheimer's Disease.

Binder, Michele D., Fox, Andrew D., Laverick, Louise, Foo, Grace, Fabis-Pedrini, Marzena J., Spelman, Timothy, Jordan, Margaret A., Baxter, Alan G., Foote, Simon, , , , Merlo, Daniel, , , , , , , , , , Lechner-Scott, Jeannette, Johnson, Laura J., , , , , , Moscato, Pablo, Scott, Rodney, , , , Giuffrida, Sarah E., , Calvert, Rainer, Akkermann, Rainer, Ma, Gerry Z. M., Perera, Ashwyn A., Gresle, Melissa M.. Public Library of Science (PLoS); 2016. Common and low frequency variants in MERTK are independently associated with multiple sclerosis susceptibility with discordant association dependent upon HLA-DRB1*15:01 status.

Ravetti, Martin Gomez, Rosso, Osvaldo A., Berretta, Regina, Moscato, Pablo. Public Library of Science; 2010. Uncovering molecular biomarkers that correlate cognitive decline with the changes of hippocampus' gene expression profiles in Alzheimer's disease.

Tishchenko, Inna, Riveros, Carlos, Moscato, Pablo. Future Science; 2016. Alzheimer's disease patient groups derived from a multivariate analysis of cognitive test outcomes in the coalition against major diseases dataset.

Moscato, Pablo, Haque, Mohammad Nazmul, Moscato, Anna. Nature Publishing Group; 2023. Continued fractions and the Thomson problem.

Mathieson, Luke, Mendes, Alexandre, Marsden, John, Pond, Jeffrey, Moscato, Pablo. Springer; 2017. Computer-aided breast cancer diagnosis with optimal feature sets: reduction rules and optimization techniques.

Lobos, Claudio Sanhueza, De Vries, Natalie Jane, Inostroza-Ponta, Mario, Berretta, Regina, Moscato, Pablo. Springer Cham; 2019. Visualizing products and consumers: a gestalt theory inspired method.

Gandhi, Kaushal S., McKay, Fiona C., Danoy, Patrick, Stewart, Graeme J., Broadley, Simon, Moscato, Pablo, Lechner-Scott, Jeannette, Scott, Rodney J., Booth, David R., ANZgene Multiple Sclerosis Genetics Consortium, Cox, Mathew, Riveros, Carlos, Armstrong, Nicola, Heard, Robert N., Vucic, Steve, Williams, David W., Stankovich, Jim, Brown, Matthhew. Oxford University Press; 2010. The multiple sclerosis whole blood mRNA transcriptome and genetic associations indicate dysregulation of specific T cell pathways in pathogenesis.

Zhang, Bo, Zhang, Hongyu, Chen, Junjie, Hao, Dan, Moscato, Pablo. Institute of Electrical and Electronic Engineers (IEEE); 2019. Automatic Discovery and Cleansing of Numerical Metamorphic Relations.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2012. kNN-MST-Agglomerative: a fast and scalable graph-based data clustering approach on GPU.

Noman, Nasimul, Moscato, Pablo. Springer; 2020. Designing optimal combination therapy for personalised glioma treatment.

Buzzi, Olivier, Jeffery, Michael, Moscato, Pablo, Grebogi, Rafael Bartnik, Haque, Mohammad Nazmul. Springer; 2024. Mathematical Modelling of Peak and Residual Shear Strength of Rough Rock Discontinuities Using Continued Fractions.

Rogers, Brendan, Noman, Nasimul, Chalup, Stephan, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2021. Evolutionary Hyperparameter Optimisation for Sentence Classification.

Lill, Christina M., Liu, Tian, Blaschke, Paul, Winkelmann, Alexander, Gerdes, Lisa-Ann, Luessi, Felix, Fernadez, Oscar, Izquierdo, Guillermo, Antiguedad, Alfredo, Hoffjan, Sabine, Cournu-Rebeix, Isabelle, Gromoller, Silvana, Schjeide, Brit-Maren M., Faber, Hans, Liebsch, Maria, Meissner, Esther, Chanvillard, Coralie, Touze, Emmauel, Pico, Fernando, Corcia, Philippe, Bahlo, Melanie, Booth, David R., Broadley, Simon, Roehr, Johannes T., Brown, Matthew A., Browning, Brian L., Browning, Sharon R., Butzkueven, Helmut, Carroll, William M., Cox, Mathew B., Chapman, Caron, Clarke, Glynnis, Danoy, Patrick, Drysdale, Karen, Akkad, Denis A., Field, Judith, Foote, Simon J., Greer, Judith M., Griffiths, Lyn R., Hadler, Johanna, Jensen, Cathy J., Johnson, Laura J., Kermode, Allan G., Heard, Robert N., Kilpatrick, Trevor J., Damotte, Vincent, Lechner-Scott, Jeanette, Marriott, Mark, Mason, Deborah, Moscato, Pablo, Pender, Michael P., Perreau, Victoria M., Rubio, Justin P., Scott, Rodney J., Slee, Mark, Stankovich, Jim, Alcina, Antonio, Stewart, Graeme J., Tajouri, Lofti, Taylor, Bruce V., Wiley, James, Wilkins, Ella J., Dörner, Thomas, Steinhagen-Thiessen, Elisabeth, Baeckman, Lars, Heekeren, Hauke R., Li, Shu-Chen, Ortiz, Miguel A., Lindenberger, Ulman, Chan, Andrew, Hartung, Hans-Peter, Aktas, Orhan, Lohse, Peter, Kümpfel, Tania, Kubisch, Christian, Epplen, Joerg T., Zettl, Uwe K., Fontaine, Bertrand, Arroyo, Rafa, Vandenbroeck, Koen, Matesanz, Fuencisla, Urcelay, Elena, Bertram, Lars, Zipp, Frauke, Lopez de Lapuente, Aitzkoa. BMJ Group; 2012. Closing the case of APOE in multiple sclerosis: no association with disease risk in over 29 000 subjects.

Rosso, Osvaldo A., Mendes, Alexandre, Rostas, John A., Hunter, Mick, Moscato, Pablo. Elsevier; 2009. Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity.

Berretta, Regina, Moscato, Pablo. Public Library of Science; 2010. Cancer biomarker discovery: the entropic hallmark.

Rocha de Paula, Mateus, Berretta, Regina, Moscato, Pablo. Springer; 2016. A fast meta-heuristic approach for the (α, ß) - k-feature set problem.

Rogers, Brendan, Noman, Nasimul, Chalup, Stephan, Moscato, Pablo. Springer; 2024. A comparative analysis of deep neural network architectures for sentence classification using genetic algorithm.

Rosso, Osvaldo A., Craig, Hugh, Moscato, Pablo. Elsevier; 2009. Shakespeare and other English Renaissance authors as characterized by Information Theory complexity quantifiers.

de Vries, Natalie Jane, Carlson, Jamie, Moscato, Pablo. Public Library of Science (PLoS); 2014. A data-driven approach to reverse engineering customer engagement models: towards functional constructs.

Haque, Mohammad Nazmul, Mathieson, Luke, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2017. A memetic algorithm for community detection by maximising the connected cohesion.

Heng, Benjamin, Bilgin, Ayse A., Guillemin, Gilles J., Lovejoy, David B., Tan, Vanessa X., Milioli, Heloisa H., Gluch, Laurence, Bustamante, Sonia, Sabaretnam, Tharani, Moscato, Pablo, Lim, Chai K.. BioMed Central; 2020. Differential kynurenine pathway metabolism in highly metastatic aggressive breast cancer subtypes: beyond IDO1-induced immunosuppression.

França, Paulo M., Gupta, Jatinder N. D., Mendes, Alexandre S., Moscato, Pablo, Veltink, Klaas J.. Pergamon Press; 2005. Evolutionary algorithms for scheduling a flowshop manufacturing cell with sequence dependent family setups.

Tishchenko, Inna, Milioli, Heloisa Helena, Riveros, Carlos, Moscato, Pablo. Public Library of Science; 2016. Extensive transcriptomic and genomic analysis provides new insights about luminal breast cancers.

Field, Judith, Shahijanian, Fernando, Butzkueven, Helmut, Booth, David, Baxter, Alan, Kermode, Allan G., Taylor, Bruce, Booth, David R., Mason, Deborah, Stewart, Graeme J., Butzkueven, Helmut, Charlesworth, Jac, Schibeci, Stephen, Wiley, James, Lechner-Scott, Jeannette, Field, Judith, Tajouri, Lotti, Griffiths, Lyn, Slee, Mark, Brown, Matthew A., Moscato, Pablo, Scott, Rodney J., Broadley, Simon, Johnson, Laura, Vucic, Steve, Kilpatrick, Trevor, Carroll, William M., Gresle, Melissa, Laverick, Louise, Parnell, Grant, Stewart, Graeme, McKay, Fiona, Kilpatrick, Trevor. Public Library of Science (PLOS); 2015. The MS risk allele of CD40 is associated with reduced cell-membrane bound expression in antigen presenting cells: implications for gene function.

Haque, Mohammad Nazmul, Mathieson, Luke, Moscato, Pablo. Association for Computing Machinery; 2019. A Memetic Algorithm Approach to Network Alignment: Mapping the Classification of Mental Disorders of DSM-IV with ICD-10.

Zhang, Bo, Zhang, Hongyu, Le, Van-Hoang, Moscato, Pablo, Zhang, Aozhong. Springer; 2023. Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs.

Montera, Luciana, do Carmo Nicoletti, Maria, da Silva, Flavio Henrique, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2008. An effective mutation-based measure for evaluating the suitability of parental sequences to undergo DNA shuffling experiments.

De Vries, Natalie J., Moscato, Pablo. Springer Cham; 2019. Consumer behaviour and marketing fundamentals for business data analytics.

Milward, Elizabeth A., Moscato, Pablo, Riveros, Carlos, Johnstone, Daniel M.. IOS Press; 2014. Beyond statistics: a new combinatorial approach to identifying biomarker panels for the early detection and diagnosis of Alzheimer's Disease.

Zhang, Bo, Zhang, Hongyu, Moscato, Pablo, Zhang, Aozhong. Institute of Electrical and Electronics Engineers (IEEE); 2020. Anomaly detection via mining numerical workflow relations from logs.

Wang, Joanne H., Pappas, Derek, Hauser, Stephen L., Baranzini, Sergio E., Oksenberg, Jorge R., Bahlo, Melanie, Booth, David R., Broadley, Simon A., Brown, Matthew A., Foote, Simon J., Griffiths, Lyn R., Kilpatrick, Trevor J., De Jager, Philip L., Lechner-Scott, Jeannette, Moscato, Pablo, Perreau, Victoria M., Rubio, Justin P., Scott, Rodney J., Stankovich, Jim, Stewart, Graeme J., Taylor, Bruce V., Wiley, James, Danoy, Patrick, Pelletier, Daniel, Butzkueven, Helmut, Slee, Mark, Greer, Judith, Kermode, Allan, Carroll, William, de Bakker, Paul I., Kappos, Ludwig, Polman, Chris H., Chibnik, Lori B., Hafler, David A., Matthews, Paul M.. BioMed Central; 2011. Modeling the cumulative genetic risk for multiple sclerosis from genome-wide association data.

Riveros, Carlos, Ujaldón, Manuel, Moscato, Pablo. Universidad de Granada; 2014. Entropy-based high performance computation of Boolean SNP-SNP interactions using GPUs.

Moscato, Pablo, Berretta, Regina, Hourani, Mou'Ath, Mendes, Alexandre, Cotta, Carlos. Springer Verlag; 2005. Genes related with Alzheimer's disease: A comparison of evolutionary search, statistical and integer programming approaches.

Lancia, Giuseppe, Mathieson, Luke, Moscato, Pablo. Elsevier; 2017. Separating sets of strings by finding matching patterns is almost always hard.

Abu Zaher, Amer, Berretta, Regina, Noman, Nasimul, Moscato, Pablo. Wiley; 2018. An adaptive memetic algorithm for feature selection using proxity graphs.

Moscato, Pablo, Berretta, Regina, Mendes, Alexandre. Metaheuristics International Conference; 2005. A new Memetic Algorithm for ordering datasets: applications in microarray analysis.

Patsopoulos, Nikolaos A., de Bakker, Paul I. W., Kappos, Ludwig, Miller, David, Montalbán, Javier, Polman, Chris H., Freedman, Mark S., Hartung, Hans-Peter, Arnason, Barry G. W., Comi, Giancarlo, Cook, Stuart, Filippi, Massimo, Esposito, Federica, Goodin, Douglas S., Jeffery, Douglas, O'Connor, Paul, Ebers, George C., Langdon, Dawn, Reder, Anthony T., Traboulsee, Anthony, Zipp, Frauke, Schimrigk, Sebastian, Hillert, Jan, Reischl, Joachim, Bahlo, Melanie, Booth, David R., Broadley, Simon, Brown, Matthew A., Browning, Brian L., Browning, Sharon R., Butzkueven, Helmut, Carroll, William M., Chapman, Caron, Foote, Simon J., Lehr, Stephan, Griffiths, Lyn, Kermode, Allan G., Kilpatrick, Trevor J., Lechner-Scott, Jeannette, Marriott, Mark, Mason, Deborah, Moscato, Pablo, Heard, Robert N., Pender, Michael P., Perreau, Victoria M., Bauer, David, Perera, Devindri, Rubio, Justin P., Scott, Rodney J., Slee, Mark, Stankovich, Jim, Stewart, Graeme J., Taylor, Bruce V., Tubridy, Niall, Willoughby, Ernest, Wiley, James, Heubach, Jürgen, Matthews, Paul, Boneschi, Filippo M., Compston, Alastair, Haines, Jonathan, Hauser, Stephen L., McCauley, Jacob, Ivinson, Adrian, Oksenberg, Jorge R., Pericak-Vance, Margaret, Sawcer, Stephen J., Sandbrink, Rupert, De Jager, Philip L., Hafler, David A., Pohl, Christoph, Edan, Gilles. John Wiley & Sons; 2011. Genome-wide meta-analysis identifies novel multiple sclerosis susceptibility loci.

Mathieson, Luke, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2020. The Unexpected Virtue of Problem Reductions or How to Solve Problems Being Lazy but Wise.

Moscato, Pablo, Grebogi, Rafael B.. Association for Computing Machinery; 2023. Approximating the Boundaries of Unstable Nuclei Using Analytic Continued Fractions.

Sanhueza, Claudio, Jiménez, Francia, Berretta, Regina, Moscato, Pablo. Association for Computing Machinery; 2018. mQAPViz: A divide-and-conquer multi-objective optimization algorithm to compute large data visualizations.

Johnstone, Daniel, Graham, Ross M., Trinder, Debbie, Delima, Roheeth D., Riveros, Carlos, Olynyk, John K., Scott, Rodney J., Moscato, Pablo, Milward, Elizabeth. Elsevier; 2012. Brain transcriptome perturbations in the Hfe^-/- mouse model of genetic iron loading.

Berretta, Regina, Cotta, Carlos, Moscato, Pablo. Kluwer Academic Publishers; 2003. Enhancing the performance of memetic algorithms by using a matching-based recombination algorithm.

Johnstone, Daniel M., Graham, Ross M., Trinder, Debbie, Riveros, Carlos, Olynyk, John K., Scott, Rodney J., Moscato, Pablo, Milward, Elizabeth A.. IOS Press; 2012. Changes in brain transcripts related to Alzheimer's disease in a model of HFE hemochromatosis are not consistent with increased Alzheimer's disease risk.

Moscato, Pablo. Springer; 2019. Business Network Analytics: From Graphs to Supernetworks.

Puthiyedth, Nisha, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLOS) One; 2015. A new combinatorial optimization approach for integrated feature selection using different datasets: a prostate cancer transcriptomic study.

Berretta, Regina, Costa, Wagner, Moscato, Pablo. Humana Press; 2008. Combinatorial optimization models for finding genetic signatures from gene expression datasets.

Milioli, Heloisa H., Tishchenko, Inna, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. BioMed Central; 2017. Basal-like breast cancer: molecular profiles, clinical features and survival outcomes.

Moscato, Pablo, Mathieson, Luke, Haque, Mohammad Nazmul. Springer; 2021. Augmented intuition: a bridge between theory and practice.

Warren, Chloe, Inostroza-Ponta, Mario, Moscato, Pablo. Springer; 2017. Using the QAP grid visualization approach for biomarker identification of cell-specific transcriptomic signatures.

Milioli, Heloisa H., Vimieiro, Renato, Tishchenko, Inna, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. BioMed Central; 2016. Iteratively refining breast cancer intrinsic subtypes in the METABRIC dataset.

de Vries, Natalie Jane, Arefin, Ahmed Shamsul, Mathieson, Luke, Lucas, Benjamin, Moscato, Pablo. Springer; 2016. Relative neighborhood graphs uncover the dynamics of social media engagement.

Atkinson, Rebbekah, Rosso, Osvaldo A., Figliola, Alejandra, Serrano, Eduardo, Moscato, Pablo, Hunter, Mick, Rostas, John A. P.. Nova Science Publishers; 2010. Use of the domestic chicken to investigate mechanisms of brain maturation.

Milioli, Heloisa Helena, Vimieiro, Renato, Riveros, Carlos, Tishchenko, Inna, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLOS); 2015. The discovery of novel biomarkers improves breast cancer intrinsic subtype prediction and reconciles the labels in the METABRIC data set.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Public Library of Science; 2012. GPU-FS-kNN: a software tool for fast and scalable kNN computation using GPUs.

de Vries, Natalie Janes, Olech, Łukasz P., Moscato, Pablo. Springer Cham; 2019. Introducing clustering with a focus in marketing and consumer analysis.

Cotta, Carlos, Gallardo, Jose E., Mathieson, Luke, Moscato, Pablo. John Wiley & Sons; 2016. Memetic algorithms: a contemporary introduction.

Arefin, Ahmed Shamsul, Berretta, Regina, Moscato, Pablo. ACM Digital Library; 2013. A GPU-based method for computing eigenvector centrality of gene-expression networks.

Moslemi Naeni, Leila, de Vries, Natalie, Reis, Rodrigo, Arefin, Ahmed Shamsul, Berretta, Regina, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2014. Identifying communities of trust and confidence in the charity and not-for-profit sector: a memetic algorithm approach.

Mellor, Drew, Prieto-Rodriguez, Elena, Mathieson, Luke, Moscato, Pablo. Public Library of Science; 2010. A kernelisation approach for multiple d-hitting set and its application in optimal multi-drug therapeutic combinations.

Jensen, Cathy J., Stankovich, Jim, Field, Judith, Danoy, Patrick, Brown, Matthew A., The Australian and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene), Lechner-Scott, Jeanette, Moscato, Pablo, Scott, Rodney J., Rubio, Justin P,, Butzkueven, Helmut, Van der Walt, Anneke, Bahlo, Melanie, Taylor, Bruce V,, van der Mei, Ingrid A. F., Foote, Simon J., Kilpatrick, Trevor J,, Johnson, Laura J., Wilkins, Ella. Public Library of Science; 2010. Multiple sclerosis susceptibility-associated SNPs do not influence disease severity measures in a cohort of Australian MS patients.

Rosso, Osvaldo A., Mendes, Alexandre, Berretta, Regina, Rostas, John A., Hunter, Mick, Moscato, Pablo. Elsevier; 2009. Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): a combinatorial optimization approach for electrode selection.

Riveros, Carlos, Mellor, Drew, Vucic, Stephen, Stewart, Graeme J., Williams, David W., Scott, Rodney J., Lechner-Scott, Jeannette, Booth, David R., Moscato, Pablo, ANZgene Multiple Sclerosis Genetics Consortium, Gandhi, Kaushal S., McKay, Fiona C., Cox, Mathew B., Berretta, Regina, Vaezpour, S. Yahya, Inostroza-Ponta, Mario, Broadley, Simon A., Heard, Robert N.. Public Library of Science; 2010. A transcription factor map as revealed by a genome-wide gene expression analysis of whole-blood mRNA transcriptome in multiple sclerosis.