Moscato, Pablo, Sun, Haoyuan, Haque, Mohammad Nazmul. Elsevier; 2021. Analytic continued fractions for regression: a memetic algorithm approach.

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

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.

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, De Vries, Natalie Jane. Springer Cham; 2019. Marketing meets data science: bridging the gap.

Arefin, Ahmed Shamsul, Riveros, Carlos, Berretta, Regina, Moscato, Pablo. Springer; 2015. The MST-kNN with paracliques.

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

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.

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

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

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.

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.

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.

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.

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.

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.

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

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?.

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.

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

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.

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

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, Cotta, Carlos. Chapman & Hall / CRC Press; 2007. Memetic algorithms.

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.

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

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.

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.

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

Ikin, Aaron, Riveros, Carlos, Moscato, Pablo, Mendes, Alexandre. Oxford University Press; 2010. The Gene Interaction Miner: a new tool for data mining contextual information for protein-protein interaction analysis.

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.

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

Holliday, Elizabeth G., Maguire, Jane M., Malik, Rainer, McEvoy, Mark, Biros, Erik, Lewis, Martin D., Lincz, Lisa F., Peel, Roseanne, Oldmeadow, Christopher, Smith, Wayne, Moscato, Pablo, Barlera, Simona, Evans, Tiffany-Jane, Bevan, Steve, Bis, Joshua C., Boerwinkle, Eric, Boncoraglio, Giorgio B., Brott, Thomas G., Scott, Rodney J., Levi, Christopher, Attia, John, Koblar, Simon A., Jannes, Jim, Sturm, Jonathan W., Hankey, Graeme J., Baker, Ross, Golledge, Jonathan, Parsons, Mark W.. Nature Publishing Group; 2012. Common variants at 6p21.1 are associated with large artery atherosclerotic stroke.

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.

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.

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.

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

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

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

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.

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.

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

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.

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

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

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

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

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

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

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.

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.

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

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.

Yan, Jun, Liu, Jia, Mason, Deborah, Griffiths, Lyn, Moscato, Pablo, Slee, Mark, Taylor, Bruce, Wiley, James, Field, Judith, Butzkueven, Helmut, Kilpatrick, Trevor J., Csurhes, Peter A., Lin, Clement Yihao, Pender, Michael P., McCombe, Pamela A., Greer, Judith M., Australia and New Zealand Multiple Sclerosis Genetics Consortium (ANZGene),, Scott, Rodney J., Lechner-Scott, Jeannette, Brown, Matthew A., Booth, David R., Stewart, Graeme J., Broadley, Simon. MDPIAG; 2012. Interleukin-6 gene promoter-572 C allele may play a role in rate of disease progression in multiple sclerosis.

Noman, Nasimul, Monjo, Taku, Moscato, Pablo, Iba, Hitoshi. Public Library of Science (PLoS); 2015. Evolving robust gene regulatory networks.

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.

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

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.

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

Filiou, Michaela D., Arefin, Ahmed Shamsul, Moscato, Pablo, Graeber, Manuel B.. Springer; 2014. 'Neuroinflammation' differs categorically from inflammation: transcriptomes of Alzheimer's disease, Parkinson's disease, schizophrenia and inflammatory diseases compared.

Mahata, Pritha, Costa, Wagner, Cotta, Carlos, Moscato, Pablo. Springer-Verlag; 2006. Hierarchical clustering, languages and cancer.

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.

Vimieiro, Renato, Moscato, Pablo. Pergamon; 2012. Mining disjunctive minimal generators with TitanicOR.

Hourani, Mou'Ath, Mendes, Alexandre, Berretta, Regina, Moscato, Pablo. American Institute of Physics; 2007. Genetic biomarkers for brain hemisphere differentiation in Parkinson's Disease.

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

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

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.

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

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

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.

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

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.

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.

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.

Moscato, Pablo, Craig, Hugh, Egan, Gabriel, Haque, Mohammad Nazmul, Huang, Kevin, Sloan, Julia, de Oliveira, Jonathon Corrales. Elsevier; 2022. Multiple regression techniques for modelling dates of first performances of Shakespeare-era plays.

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.

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

Moscato, Pablo, Cotta, Carlos. Springer; 2019. An accelerated introduction to memetic algorithms.

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

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.

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.

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

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.

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.

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.

Cotta, Carlos, Mathieson, Luke, Moscato, Pablo. Springer; 2018. Memetic algorithms.

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.

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

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.

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.

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.

Ravetti, Martin Gómez, Moscato, Pablo. Public Library of Science; 2008. Identification of a 5-protein biomarker molecular signature for predicting Alzheimer's disease.

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.

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

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

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.

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

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.

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.