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

Johnstone, Daniel, Milward, Elizabeth A., Berretta, Regina, Moscato, Pablo. Public Library of Science; 2012. Multivariate protein signatures of pre-clinical Alzheimer's disease in the Alzheimer's disease meuroimaging initiative (ADNI) plasma proteome dataset.

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

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.

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.

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

Mahmoudi, Nader, Docherty, Paul, Moscato, Pablo. Elsevier; 2018. Deep neural networks understand investors better.

Berretta, Regina, Mendes, Alexandre, Moscato, Pablo. Australian Computer Society published in association with the ACM Digital Library; 2005. Integer programming models and algorithms for molecular classification of cancer from microarray data.

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.

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

de Vries, Natalie Jane, Moscato, Pablo. Springer Cham; 2019. Datasets for business and consumer analytics.

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

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.

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

Vimieiro, Renato, Moscato, Pablo. Elsevier; 2014. Disclosed: an efficient depth-first, top-down algorithm for mining disjunctive closed itemsets in high-dimensional data.

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.

Lucas, Benjamin, Arefin, Ahmed Shamsul, de Vries, Natalie Jane, Berretta, Regina, Carlson, Jamie, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2014. Engagement in motion: exploring short term dynamics in page-level social media metrics.

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.

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

Moscato, Pablo, Mathieson, Luke, Mendes, Alexandre, Berretta, Regina. Australian Computer Society published in association with the ACM Digital Library; 2005. The electronic primaries: predicting the U.S. presidency using feature selection with safe data deduction.

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.

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

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.

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.

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.

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.

Capp, Anne, Inostroza-Ponta, Mario, Atkinson, Chris, North, John, Poulsen, Michael, Spry, Nigel A., Tai, Keen-Hun, Wynne, Chris, Duchesne, Gillian, Steigler, Allison, Denham, James W., Bill, Dana, Moscato, Pablo, Lai, Chi, Christie, David, Lamb, David, Turner, Sandra, Joseph, David, Matthews, John. Elsevier; 2009. Is there more than one proctitis syndrome? A revisitation using data from the TROG 96.01 trial.

Arefin, Ahmed Shamsul, Mathieson, Luke, Johnstone, Daniel, Berretta, Regina, Moscato, Pablo. Public Library of Science; 2012. Unveiling clusters of RNA transcript pairs associated with markers of Alzheimer's disease progression.

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.

Ritchie, Matthew E., Ruijie, Liu, Kilpatrick, Trevor J., Lechner-Scott, Jeannette, Moscato, Pablo, Perreau, Victoria M., Rubio, Justin P., Scott, Rodney J., Stankovich, Jim, Stewart, Graeme J., Taylor, Bruce V., Wiley, James, Carvalho, Benilton S., Booth, David R., Clarke, Glynnis, Cox, Mathew B., Csurhes, Peter A., Danoy, Patrick, Dickinson, Joanne L., Drysdale, Karen, Field, Judith, Greer, Judith M., Griffiths, Lyn R., Irizarry, Rafael A., Guru, Preethi, Hadler, Johanna, Hoban, Ella, McMorran, Brendan J., Jensen, Cathy J., Johnson, Laura J., McCallum, Ruth, Merriman, Marilyn, Merriman, Tony, Polanowski, Andrea, Bahlo, Melanie, Pryce, Karena, Tajouri, Lotfi, Whittock, Lucy, Wilkins, Ella J., Browning, Brian L., Browning, Sharon R., Perera, Devindri, Butzkueven, Helmut, Carroll, William M., Chapman, Caron, Booth, David R., Kermode, Allan G., Marriott, Mark, Mason, Deborah, Heard, Robert N., Pender, Michael P., Slee, Mark, Tubridy, Niall, Willoughby, Ernest, Broadley, Simon A., Brown, Matthew A., Foote, Simon J., Griffiths, Lyn R.. BioMed Central; 2011. Comparing genotyping algorithms for Illumina's Infinium whole-genome SNP BeadChips.

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, 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.

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.

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.

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.

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

Arefin, Ahmed Shamsul, Berretta, Regina, Moscato, Pablo. Australian Computer Society (ACS); 2015. On ranking nodes using kNN graphs, shortest-paths and GPUs.

Sanhueza, Claudio, Jiménez, Francia, Berretta, Regina, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2017. PasMoQAP: a parallel asynchronous memetic algorithm for solving the Multi-Objective Quadratic Assignment Problem.

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

Cheng, Yu-Ching, Anderson, Christopher D., Barlera, Simona, Biffi, Alessandro, Bookman, Ebony, Brott, Thomas G., Brown, Robert D., Chen, Fang, Chen, Wei-Min, Ciusani, Emilio, Cole, John W., Cortellini, Lynelle, Bione, Silvia, Danesh, John, Doheny, Kimberley, Ferrucci, Luigi, Franzosi, Maria Grazia, Frossard, Philippe, Furie, Karen L., Golledge, Jonathan, Hankey, Graeme J., Hernandez, Dena, Holliday, Elizabeth G., Keene, Keith, Hsu, Fang-Chi, Jannes, Jim, Kamal, Ayeesha, Khan, Muhammad Saleem, Kittner, Steven J., Koblar, Simon A., Lewis, Martin, Lincz, Lisa, Lisa, Antonella, Matarin, Mar, Maguire, Jane M., Moscato, Pablo, Mychaleckyj, Josyf C., Parati, Eugenio A., Parolo, Silvia, Pugh, Elizabeth, Rost, Natalia S., Schallert, Michael, Schmidt, Helena, Scott, Rodney J., Sturm, Jonathan W., Nalls, Michael, Yadav, Sunaina, Zaidi, Moazzam, Boncoraglio, Giorgio B., Levi, Christopher Royce, Meschia, James F., Rosand, Jonathan, Sale, Michele, Saleheen, Danish, Schmidt, Reinhold, Sharma, Pankaj, Rasheed, Asif, Worrall, Bradford, Mitchell, Branxton D., Zeginigg, Marion, Attia, John, Baker, Ross. Lippincott Williams & Wilkins; 2012. Are myocardial infarction-associated single-nucleotide polymorphisms associated with ischemic stroke?.

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

Moscato, Pablo, Sun, Haoyuan, Haque, Mohammad Nazmul. IEEE; 2020. Analytic continued fractions for regression: results on 352 datasets from the physical sciences.

Vimieiro, Renato, Moscato, Pablo. Elsevier; 2014. A new method for mining disjunctive emerging patterns in high-dimensional datasets using hypergraphs.

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.

Gabardo, Ademir C., Berretta, Regina, Moscato, Pablo. Springer; 2020. M-Link: a link clustering memetic algorithm for overlapping community detection.

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.

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.

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.

Field, Judith, Browning, Sharon R., Lechner-Scott, Jeanette, Moscato, Pablo, Scott, Rodney J., Stewart, Graeme J., Kilpatrick, Trevor J., Foote, Simon J., Bahlo, Melanie, Butzkueven, Helmut, Wiley, James, Booth, David R., Johnson, Laura J., Taylor, Bruce V., Brown, Matthew A., Rubio, Justin P., Stankovich, Jim, Danoy, Patrick, Varney, Michael D,, Tait, Brian D., Kaushal, S. Gandhi, Charlesworth, Jac C., Heard, Robert N., The Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZgene). Public Library of Science; 2010. A polymorphism in the HLA-DPB1 gene is associated with susceptibility to multiple sclerosis.

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.

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

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

Oldmeadow, Christopher, Riveros, Carlos, Klein, Ronald, Attia, John, Holliday, Elizabeth G., Scott, Rodney, Moscato, Pablo, Wang, Jie Jin, Mitchell, Paul, Buitendijk, Gabrielle H. S., Vingerling, Johannes R., Klaver, Caroline C. W.. John Wiley & Sons; 2011. Sifting the wheat from the chaff: prioritizing GWAS results by identifying consistency across analytical methods.

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.

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

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.

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

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.

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.

Garcia, Vinícius Jacques, França, Paulo Morelato, de Sousa Mendes, Alexandre, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2006. A parallel memetic algorithm applied to the total tardiness machine scheduling problem.

Mendes, Alexandre, Scott, Rodney J., Moscato, Pablo. Humana Press; 2008. Microarrays: identifying molecular portraits in prostrate tumors with different Gleason patterns.

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.

Inostroza-Ponta, Mario, Mendes, Alexandre, Berretta, Regina, Moscato, Pablo. Springer-Verlag Berlin; 2007. An integrated QAP-based approach to visualize patterns of gene expression similarity.

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.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. IEEE; 2012. Computing large-scale distance matrices on GPU.

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.

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.

Marsden, John, Budden, David, Craig, Hugh, Moscato, Pablo. Public Library of Science; 2013. Language individuation and marker words: Shakespeare and his Maxwell's demon.

Arefin, Ahmed Shamsul, Vimieiro, Renato, Riveros, Carlos, Craig, Hugh, Moscato, Pablo. Public Library of Science (PLoS); 2014. An information theoretic clustering approach for unveiling authorship affinities in Shakespearean era plays and poems.

Arefin, Ahmed Shamsul, Inostroza-Ponta, Mario, Mathieson, Luke, Berretta, Regina, Moscato, Pablo. Springer; 2011. Clustering nodes in large-scale biological networks using external memory algorithms.

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.

de Vries, Natalie Jane, Arefin, Ahmed Shamsul, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2014. Gauging heterogeneity in online consumer behaviour data: a proximity graph approach.

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

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.

Haque, Mohammad Nazmul, Noman, M. Nasimul, Berretta, Regina, Moscato, Pablo. Institute of Electrical and Electronics Engineers (IEEE); 2016. Optimising weights for heterogeneous ensemble of classifiers with differential evolution.

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.

Berretta, Regina, Cotta, Carlos, Moscato, Pablo. Springer; 2012. Memetic algorithms in bioinformatics.

Ahammed, Farhan, Moscato, Pablo. Springer; 2011. Evolving L-systems as an intelligent design approach to find classes of difficult-to-solve traveling salesman problem instances.

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.

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

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.

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

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

Rizzi, Romeo, Mahata, Pritha, Mathieson, Luke, Moscato, Pablo. Public Library of Science; 2010. Hierarchical clustering using the arithmetic-harmonic cut: complexity and experiments.

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.

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

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

De Vries, Natalie J., Carlson, Jamie, Moscato, Pablo. Springer Cham; 2019. Clustering consumers and cluster-specific behavioural models.

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.

Shahijanian, Fernando, Parnell, Grant P., Baxter, Alan, Kermode, Allan, Carroll, William, Butzkueven, Helmut, Booth, David, Stewart, Graeme, Vucic, Steve, Wiley, James, Field, Judith, Tajouri, Lotti, McKay, Fiona C., Griffiths, Lyn, Barnett, Michael, Scott, Rodney, Lechner-Scott, Jeannette, Moscato, Pablo, Broadley, Simon, Slee, Mark, Kilpatrick, Trevor, Taylor, Bruce, Charlesworth, Jac, Gatt, Prudence N., Brown, Matt, Mason, Deborah, Stewart, Graeme J., Booth, David R., Shojoei, Maryam, O'Connor, Kate S., Schibeci, Stephen D., Brilot, Fabienne, Liddle, Christopher, Batten, Marcel. Oxford University Press; 2014. The CYP27B1 variant associated with an increased risk of autoimmune disease is underexpressed in tolerizing dendritic cells.

Inostroza-Ponta, Mario, Berretta, Regina, Mendes, Alexandre, Moscato, Pablo. Springer; 2006. An automatic graph layout procedure to visualize correlated data.

Haque, Mohammad Nazmul, Noman, Nasimul, Berretta, Regina, Moscato, Pablo. Public Library of Science (PLoS); 2016. Heterogeneous ensemble combination search using genetic algorithm for class imbalanced data classification.

Mendes, Renata Sarmet Smiderle, Felice, Mário César San, Hokama, Pedro Henrique Del Bianco, Berretta, Regina, Moscato, Pablo. Sociedade Brasileira de Pesquisa Operacional (SOBRAPO); 2020. A Memetic Algorithm for the Facility Location Problem.

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

Bahlo, Melanie, Booth, David R., Rubio, Justin P., Scott, Rodney J., Stankovich, Jim, Stewart, Graeme J., Taylor, Bruce V., Wiley, James, Clarke, Glynnis, Cox, Mathew B., Csurhes, Peter A., Danoy, Patrick, Broadley, Simon A., Brown, Matthew A., Foote, Simon J., Griffiths, Lyn R., Kilpatrick, Trevor J., Lechner-Scott, Jeannette, Moscato, Pablo, Perreau, Victoria M.. Nature Publishing Group; 2009. Genome-wide association study identifies new multiple sclerosis susceptibility loci on chromosomes 12 and 20.

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.

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

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

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

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.