<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462025000200599</article-id>
<article-id pub-id-type="doi">10.13053/cys-29-2-5705</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[A Systematic Literature Review on Generative Algorithms and their Impact on Machine Learning]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Amayo-Gamboa]]></surname>
<given-names><![CDATA[Flavio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gamboa-Cruzado]]></surname>
<given-names><![CDATA[Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Durán Carhuamaca]]></surname>
<given-names><![CDATA[Amanda]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arauco-Esquivel]]></surname>
<given-names><![CDATA[Saúl]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mendoza Torres]]></surname>
<given-names><![CDATA[Edwin]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arangüena Yllanes]]></surname>
<given-names><![CDATA[Magaly]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional de Trujillo Escuela de Ingeniería Informática ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional Mayor de San Marcos Facultad de Ingeniería de Sistemas e Informática ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad Nacional de Cañete Facultad de Ingeniería ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Peru</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Nacional Mayor de San Marcos Facultad de Ingeniería Geológica, Minera, Metalúrgica y Geográfica ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2025</year>
</pub-date>
<volume>29</volume>
<numero>2</numero>
<fpage>599</fpage>
<lpage>613</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462025000200599&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462025000200599&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462025000200599&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This research analyzes the influence and development of Generative Algorithms within the field of Machine Learning (ML), a sphere that is garnering increasing academic and practical interest. The goal is to unveil the state of the art and discern the Generative Algorithms and their impact on ML. A systematic review methodology was adopted, assessing relevant studies published between 2017 and 2023, focusing on Generative Algorithms and their impact on ML. Through the consultation of databases such as Scopus, Web of Science, Science Direct, Springer Link, Google Scholar, and ACM Digital Library, and the application of exclusion criteria presented in the PRISMA Flow Diagram, 62 papers were selected and analyzed. The results highlight a marked presence of research in first-quartile journals, demonstrating the high quality and relevance of the topic. International collaboration emerges as a crucial pillar, with the United States and Canada leading in significant contributions. The most striking conclusions suggest a consolidation of Generative Algorithms as a prominent area of study, with projections towards their integration into novel fields such as quantum computing. The research concludes that global cooperation and institutional support are essential for the progress of ML, emphasizing the importance of adopting collaborative and interdisciplinary approaches in future studies.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Generative algorithms]]></kwd>
<kwd lng="en"><![CDATA[machine learning (ML)]]></kwd>
<kwd lng="en"><![CDATA[deep learning]]></kwd>
<kwd lng="en"><![CDATA[systematic literature review (SLR)]]></kwd>
<kwd lng="en"><![CDATA[generative models]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Perdomo-Ortiz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Benedetti]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Realpe-Gómez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Biswas]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers]]></article-title>
<source><![CDATA[Quantum Science and Technology]]></source>
<year>2018</year>
<volume>3</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>1-16</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fanfarillo]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Probabilistic forecasting using deep generative models]]></article-title>
<source><![CDATA[GeoInformatica]]></source>
<year>2021</year>
<volume>25</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-27</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sanchez-Lengeling]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Aspuru-Guzik]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Inverse molecular design using machine learning: Generative models for matter engineering]]></article-title>
<source><![CDATA[Science]]></source>
<year>2018</year>
<volume>361</volume>
<numero>6400</numero>
<issue>6400</issue>
<page-range>360-5</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bilodeau]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Jin]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Jaakkola]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Barzilay]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Jensen]]></surname>
<given-names><![CDATA[K. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generative models for molecular discovery: Recent advances and challenges]]></article-title>
<source><![CDATA[Wiley Interdisciplinary Reviews: Computational Molecular Science]]></source>
<year>2022</year>
<volume>12</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fan]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Tang]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A novel deep generative modeling-based data augmentation strategy for improving short-term building energy predictions]]></article-title>
<source><![CDATA[Building Simulation]]></source>
<year>2022</year>
<volume>15</volume>
<page-range>1-15</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Cai]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Bu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Pre-training the deep generative models with adaptive hyperparameter optimization]]></article-title>
<source><![CDATA[Neurocomputing]]></source>
<year>2017</year>
<volume>266</volume>
<page-range>499-507</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dahl]]></surname>
<given-names><![CDATA[C. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sørensen]]></surname>
<given-names><![CDATA[E. N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Neural networks generative models for time series]]></article-title>
<source><![CDATA[Journal of King Saud University - Computer and Information Sciences]]></source>
<year>2022</year>
<volume>34</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>155-67</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carvajal-Patiño]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramos-Pollán]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Synthetic data generation with deep generative models to enhance predictive tasks in trading strategies]]></article-title>
<source><![CDATA[Research in International Business and Finance]]></source>
<year>2022</year>
<volume>60</volume>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Paz]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Liang]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Christensen]]></surname>
<given-names><![CDATA[H. I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Conditional Generative Models for Dynamic Trajectory Generation and Urban Driving]]></article-title>
<source><![CDATA[Sensors]]></source>
<year>2023</year>
<volume>23</volume>
<numero>15</numero>
<issue>15</issue>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Neo]]></surname>
<given-names><![CDATA[E. R. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Low]]></surname>
<given-names><![CDATA[J. S. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Goodship]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Coles]]></surname>
<given-names><![CDATA[S. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Debattista]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cross-modal generative models for multi-modal plastic sorting]]></article-title>
<source><![CDATA[Journal of Cleaner Production]]></source>
<year>2023</year>
<volume>413</volume>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alhomayani]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Mahoor]]></surname>
<given-names><![CDATA[M. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[On oversampling imbalanced data with deep conditional generative models]]></article-title>
<source><![CDATA[Expert Systems with Applications]]></source>
<year>2021</year>
<volume>165</volume>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shao]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Shao]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lam]]></surname>
<given-names><![CDATA[W. H. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Cao]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A generative model for vehicular travel time distribution prediction considering spatial and temporal correlations]]></article-title>
<source><![CDATA[Physica A: Statistical Mechanics and its Applications]]></source>
<year>2023</year>
<volume>616</volume>
</nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Carrillo-Perez]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Pizurica]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ozawa]]></surname>
<given-names><![CDATA[M. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Vogel]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[West]]></surname>
<given-names><![CDATA[R. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Kong]]></surname>
<given-names><![CDATA[C. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Herrera]]></surname>
<given-names><![CDATA[L. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Shen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gevaert]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Synthetic whole-slide image tile generation with gene expression profile-infused deep generative models]]></article-title>
<source><![CDATA[Cell Reports Methods]]></source>
<year>2023</year>
<volume>3</volume>
<numero>7</numero>
<issue>7</issue>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fernandez Alcazar]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Perdomo-Ortiz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghazi Vakili]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kalayci]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Enhancing Generative Models via Quantum Correlations]]></article-title>
<source><![CDATA[Physical Review X]]></source>
<year>2022</year>
<volume>12</volume>
<numero>2</numero>
<issue>2</issue>
</nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Felsch]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghavidelnia]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Schwarz]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Slesarenko]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Controlling auxeticity in curved-beam metamaterials via a deep generative model]]></article-title>
<source><![CDATA[Computer Methods in Applied Mechanics and Engineering]]></source>
<year>2023</year>
<volume>403</volume>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rongier]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Rude]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Herring]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Pankratius]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generative Modeling of InSAR Interferograms]]></article-title>
<source><![CDATA[Earth and Space Science]]></source>
<year>2019</year>
<volume>6</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Harshvardhan]]></surname>
<given-names><![CDATA[G. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Gourisaria]]></surname>
<given-names><![CDATA[M. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Pandey]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Rautaray]]></surname>
<given-names><![CDATA[S. S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A comprehensive survey and analysis of generative models in machine learning]]></article-title>
<source><![CDATA[Computer Science Review]]></source>
<year>2020</year>
<volume>37</volume>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Buzhinsky]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Nerinovsky]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Tripakis]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Metrics and methods for robustness evaluation of neural networks with generative models]]></article-title>
<source><![CDATA[Machine Learning]]></source>
<year>2023</year>
<volume>112</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1456-78</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Imrie]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Bradley]]></surname>
<given-names><![CDATA[A. R.]]></given-names>
</name>
<name>
<surname><![CDATA[van der Schaar]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Deane]]></surname>
<given-names><![CDATA[C. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep Generative Models for 3D Linker Design]]></article-title>
<source><![CDATA[Journal of Chemical Information and Modeling]]></source>
<year>2020</year>
<volume>60</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1983-95</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alcazar]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Leyton-Ortega]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Perdomo-Ortiz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Classical versus quantum models in machine learning: insights from a finance application]]></article-title>
<source><![CDATA[Machine Learning: Science and Technology]]></source>
<year>2020</year>
<volume>1</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yoon]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Mizrahi]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghalaty]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Jarvinen]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Ravi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Brune]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Kong]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Anderson]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Meir]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bandukwala]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Kanal]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Arik]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Pfister]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records]]></article-title>
<source><![CDATA[npj Digital Medicine]]></source>
<year>2023</year>
<volume>6</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-12</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[J.-Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Cho]]></surname>
<given-names><![CDATA[S.-B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Obfuscated malware detection using deep generative model based on global/local features]]></article-title>
<source><![CDATA[Computers &amp; Security]]></source>
<year>2022</year>
<volume>112</volume>
</nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ye]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Unsupervised learning of global factors in deep generative models]]></article-title>
<source><![CDATA[Pattern Recognition]]></source>
<year>2023</year>
<volume>137</volume>
</nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sivangi]]></surname>
<given-names><![CDATA[K. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Amilpur]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Dasari]]></surname>
<given-names><![CDATA[C. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[ReGen-DTI: A novel generative drug target interaction model for predicting potential drug candidates against SARS-COV2]]></article-title>
<source><![CDATA[Computational Biology and Chemistry]]></source>
<year>2023</year>
<volume>104</volume>
</nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sase]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Shibuta]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of microstructure evolution at the atomic scale by deep generative model in combination with recurrent neural networks]]></article-title>
<source><![CDATA[Acta Materialia]]></source>
<year>2023</year>
<volume>252</volume>
</nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[L. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Grooms]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning techniques to construct patched analog ensembles for data assimilation]]></article-title>
<source><![CDATA[Journal of Computational Physics]]></source>
<year>2021</year>
<volume>439</volume>
</nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Qiong]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Wen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Rosenblum]]></surname>
<given-names><![CDATA[D. S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Learning structures of interval-based Bayesian networks in probabilistic generative model for human complex activity recognition]]></article-title>
<source><![CDATA[Pattern Recognition]]></source>
<year>2018</year>
<volume>81</volume>
<page-range>545-61</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Regenwetter]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Srivastava]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Gutfreund]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahmed]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Beyond statistical similarity: Rethinking metrics for deep generative models in engineering design]]></article-title>
<source><![CDATA[Computer-Aided Design]]></source>
<year>2023</year>
<volume>158</volume>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hameed]]></surname>
<given-names><![CDATA[M. A. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Alamgir]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Improving mortality prediction in acute pancreatitis by machine learning and data augmentation]]></article-title>
<source><![CDATA[Computers in Biology and Medicine]]></source>
<year>2022</year>
<volume>148</volume>
</nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Marschall]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Wübbeler]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Schmähling]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Elster]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generative models and Bayesian inversion using Laplace approximation]]></article-title>
<source><![CDATA[Computational Statistics]]></source>
<year>2023</year>
<volume>38</volume>
<page-range>2023-48</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hoh]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Schöttl]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Schaub]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Wenninger]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A generative model for anomaly detection in time series data]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2022</year>
<volume>201</volume>
<page-range>1-8</page-range></nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ramstead]]></surname>
<given-names><![CDATA[M. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Seth]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Hesp]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Sandved-Smith]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Mago]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Lifshitz]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Pagnoni]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Dumas]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Lutz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Friston]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Constant]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[From generative models to generative passages: A computational approach to (neuro)phenomenology]]></article-title>
<source><![CDATA[Review of Philosophy and Psychology]]></source>
<year>2022</year>
<volume>13</volume>
<page-range>25-47</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[de Souza]]></surname>
<given-names><![CDATA[M. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Silva Junior]]></surname>
<given-names><![CDATA[C. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Quintino]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[A. L.]]></given-names>
</name>
<name>
<surname><![CDATA[da Silva]]></surname>
<given-names><![CDATA[F. Q. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Zanchettin]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Exploring the impact of synthetic data on human activity recognition tasks]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2023</year>
<volume>217</volume>
<page-range>1-10</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ning]]></surname>
<given-names><![CDATA[Z.-H.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiao]]></surname>
<given-names><![CDATA[C.-B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Compressed sensing using generative models based on Fisher information]]></article-title>
<source><![CDATA[International Journal of Machine Learning and Cybernetics]]></source>
<year>2021</year>
<volume>12</volume>
<page-range>1-14</page-range></nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Gibson]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Predictive and generative machine learning models for photonic crystals]]></article-title>
<source><![CDATA[Nanophotonics]]></source>
<year>2020</year>
<volume>9</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>1-12</page-range></nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yin]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Zou]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Cavinato]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Humphrey]]></surname>
<given-names><![CDATA[J. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Karniadakis]]></surname>
<given-names><![CDATA[G. E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A generative modeling framework for inferring families of biomechanical constitutive laws in data-sparse regimes]]></article-title>
<source><![CDATA[Journal of the Mechanics and Physics of Solids]]></source>
<year>2023</year>
<volume>172</volume>
</nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Abukmeil]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ferrari]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Genovese]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Piuri]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Scotti]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A survey of unsupervised generative models for exploratory data analysis and representation learning]]></article-title>
<source><![CDATA[ACM Computing Surveys]]></source>
<year>2022</year>
<volume>55</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1-32</page-range></nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Perraudin]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Srivastava]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Lucchi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kacprzak]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Hofmann]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Réfrégier]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cosmological N-body simulations: A challenge for scalable generative models]]></article-title>
<source><![CDATA[Computational Astrophysics and Cosmology]]></source>
<year>2019</year>
<volume>6</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-14</page-range></nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zaballa]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Gómez Inhiesto]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Acaiturri Ayesta]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Lozano]]></surname>
<given-names><![CDATA[J. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Learning the progression patterns of treatments using a probabilistic generative model]]></article-title>
<source><![CDATA[Journal of Biomedical Informatics]]></source>
<year>2023</year>
<volume>143</volume>
</nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Celard]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Iglesias]]></surname>
<given-names><![CDATA[E. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Sorribes-Fdez]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Romero]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Vieira]]></surname>
<given-names><![CDATA[A. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Borrajo]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A survey on deep learning applied to medical images: From simple artificial neural networks to generative models]]></article-title>
<source><![CDATA[Neural Computing and Applications]]></source>
<year>2023</year>
<volume>35</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>893-917</page-range></nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[P.-P.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[H.-F.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[Z.-T.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Z.-X.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[J.-J.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Sheng]]></surname>
<given-names><![CDATA[V. S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A generative model approach for geo-social group recommendation]]></article-title>
<source><![CDATA[Journal of Computer Science and Technology]]></source>
<year>2018</year>
<volume>33</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>1058-73</page-range></nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pagani]]></surname>
<given-names><![CDATA[R. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Kovaleski]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Resende]]></surname>
<given-names><![CDATA[L. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Methodi Ordinatio: A proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication]]></article-title>
<source><![CDATA[Scientometrics]]></source>
<year>2015</year>
<volume>103</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>485-507</page-range></nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of complex strain fields in concrete using a deep learning approach]]></article-title>
<source><![CDATA[Construction and Building Materials]]></source>
<year>2023</year>
<volume>391</volume>
</nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mancisidor]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kampffmeyer]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Aas]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Jenssen]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep generative models for reject inference in credit scoring]]></article-title>
<source><![CDATA[Knowledge-Based Systems]]></source>
<year>2020</year>
<volume>195</volume>
</nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mancisidor]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kampffmeyer]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Aas]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Jenssen]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generating customer's credit behavior with deep generative models]]></article-title>
<source><![CDATA[Knowledge-Based Systems]]></source>
<year>2022</year>
<volume>239</volume>
</nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Thomas]]></surname>
<given-names><![CDATA[S. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Lefevre]]></surname>
<given-names><![CDATA[J. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Baxter]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Hamilton]]></surname>
<given-names><![CDATA[N. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Characterization of tissue types in basal cell carcinoma images via generative modeling and concept vectors]]></article-title>
<source><![CDATA[Computerized Medical Imaging and Graphics]]></source>
<year>2021</year>
<volume>90</volume>
</nlm-citation>
</ref>
<ref id="B47">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Banian]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Content-aware generative modeling of graphic design layouts]]></article-title>
<source><![CDATA[ACM Transactions on Graphics]]></source>
<year>2019</year>
<volume>38</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1-15</page-range></nlm-citation>
</ref>
<ref id="B48">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Borysov]]></surname>
<given-names><![CDATA[S. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Rich]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Pereira]]></surname>
<given-names><![CDATA[F. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[How to generate micro-agents? A deep generative modeling approach to population synthesis]]></article-title>
<source><![CDATA[Transportation Research Part C: Emerging Technologies]]></source>
<year>2019</year>
<volume>105</volume>
<page-range>66-83</page-range></nlm-citation>
</ref>
<ref id="B49">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lenz]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hess]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Binder]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep generative models in DataSHIELD]]></article-title>
<source><![CDATA[BMC Medical Research Methodology]]></source>
<year>2021</year>
<volume>21</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>1-14</page-range></nlm-citation>
</ref>
<ref id="B50">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Otten]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Caron]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[de Swart]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[van Beekveld]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Hendriks]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[van Leeuwen]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Podareanu]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Ruiz de Austri]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Verheyen]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Event generation and statistical sampling for physics with deep generative models and a density information buffer]]></article-title>
<source><![CDATA[Nature Communications]]></source>
<year>2021</year>
<volume>12</volume>
</nlm-citation>
</ref>
<ref id="B51">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Taniguchi]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Nakamura]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Suzuki]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuniyasu]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Hayashi]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Taniguchi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Horii]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Nagai]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Neuro-SERKET: Development of integrative cognitive system through the composition of deep probabilistic generative models]]></article-title>
<source><![CDATA[New Generation Computing]]></source>
<year>2020</year>
<volume>38</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>213-29</page-range></nlm-citation>
</ref>
<ref id="B52">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Iraki]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Link]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generative models for capturing and exploiting the influence of process conditions on process curves]]></article-title>
<source><![CDATA[Journal of Intelligent Manufacturing]]></source>
<year>2022</year>
<volume>34</volume>
<page-range>225-40</page-range></nlm-citation>
</ref>
<ref id="B53">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Trappenberg]]></surname>
<given-names><![CDATA[T. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A quantum machine learning algorithm based on generative models]]></article-title>
<source><![CDATA[Science Advances]]></source>
<year>2018</year>
<volume>4</volume>
<numero>7</numero>
<issue>7</issue>
</nlm-citation>
</ref>
<ref id="B54">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Parr]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Friston]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Pezzulo]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generative models for sequential dynamics in active inference]]></article-title>
<source><![CDATA[Cognitive Neurodynamics]]></source>
<year>2023</year>
<volume>17</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>87-105</page-range></nlm-citation>
</ref>
<ref id="B55">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Xue]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Wallin]]></surname>
<given-names><![CDATA[T. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Menguc]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Adriaenssens]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Chiaramonte]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning generative models for automatic design of multi-material 3D printed composite solids]]></article-title>
<source><![CDATA[Extreme Mechanics Letters]]></source>
<year>2020</year>
<volume>35</volume>
</nlm-citation>
</ref>
<ref id="B56">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Krauth]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Lafage]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Morio]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Olive]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Waltert]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep generative modelling of aircraft trajectories in terminal maneuvering areas]]></article-title>
<source><![CDATA[Machine Learning with Applications]]></source>
<year>2023</year>
<volume>13</volume>
</nlm-citation>
</ref>
<ref id="B57">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hwang]]></surname>
<given-names><![CDATA[U.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[S.-W.]]></given-names>
</name>
<name>
<surname><![CDATA[Jung]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Seo]]></surname>
<given-names><![CDATA[S. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Seong]]></surname>
<given-names><![CDATA[J.-K.]]></given-names>
</name>
<name>
<surname><![CDATA[Yoon]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Real-world prediction of preclinical Alzheimer's disease with a deep generative model]]></article-title>
<source><![CDATA[Artificial Intelligence in Medicine]]></source>
<year>2023</year>
<volume>136</volume>
</nlm-citation>
</ref>
<ref id="B58">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Leyton-Ortega]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Perdomo-Ortiz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Perdomo]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Robust implementation of generative modeling with parametrized quantum circuits]]></article-title>
<source><![CDATA[Quantum Machine Intelligence]]></source>
<year>2021</year>
<volume>3</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>9</page-range></nlm-citation>
</ref>
<ref id="B59">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Winci]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Buffoni]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Sadeghi]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Khoshaman]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Andriyash]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Amin]]></surname>
<given-names><![CDATA[M. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A path towards quantum advantage in training deep generative models with quantum annealers]]></article-title>
<source><![CDATA[Machine Learning: Science and Technology]]></source>
<year>2020</year>
<volume>1</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B60">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Tong]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A conditional generative model based on quantum circuit and classical optimization]]></article-title>
<source><![CDATA[International Journal of Theoretical Physics]]></source>
<year>2019</year>
<volume>58</volume>
<page-range>1923-36</page-range></nlm-citation>
</ref>
<ref id="B61">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Feng]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Ma]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[On modeling and predicting popularity dynamics via integrating generative model and rich features]]></article-title>
<source><![CDATA[Expert Systems with Applications]]></source>
<year>2020</year>
<volume>158</volume>
</nlm-citation>
</ref>
<ref id="B62">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Xia]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Tang]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Searching for protein variants with desired properties using deep generative models]]></article-title>
<source><![CDATA[BMC Bioinformatics]]></source>
<year>2023</year>
<volume>24</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>100</page-range></nlm-citation>
</ref>
<ref id="B63">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Han]]></surname>
<given-names><![CDATA[Z.-Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Fan]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Unsupervised generative modeling using matrix product states]]></article-title>
<source><![CDATA[Physical Review X]]></source>
<year>2018</year>
<volume>8</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B64">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kitchenham]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Charters]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Guidelines for performing systematic literature reviews in SE]]></article-title>
<source><![CDATA[Guidelines for Performing Systematic Literature Reviews in Software Engineering]]></source>
<year>2007</year>
<page-range>1-64</page-range></nlm-citation>
</ref>
<ref id="B65">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[E. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Cheok]]></surname>
<given-names><![CDATA[A. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Pan]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Cai]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Yan]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[From Turing to Transformers: A comprehensive review and tutorial on the evolution and applications of generative transformer models]]></article-title>
<source><![CDATA[Scientific Reports]]></source>
<year>2023</year>
<volume>13</volume>
<numero>1</numero>
<issue>1</issue>
</nlm-citation>
</ref>
<ref id="B66">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Xing]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Zou]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Shifting machine learning for healthcare from development to deployment and from models to data]]></article-title>
<source><![CDATA[Nature Biomedical Engineering]]></source>
<year>2022</year>
<volume>6</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>1213-27</page-range></nlm-citation>
</ref>
<ref id="B67">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Anstine]]></surname>
<given-names><![CDATA[D. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Isayev]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Generative models as an emerging paradigm in the chemical sciences]]></article-title>
<source><![CDATA[Journal of the American Chemical Society]]></source>
<year>2023</year>
<volume>145</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1890-902</page-range></nlm-citation>
</ref>
<ref id="B68">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cárdenas-Quispe]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Vergaray-Mezarina]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Gamboa-Cruzado]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning para la detección de malware en Android: Revisión sistemática de la literatura]]></article-title>
<source><![CDATA[Revista Ibérica de Sistemas e Tecnologias de Informação]]></source>
<year>2021</year>
<volume>2021</volume>
<numero>E28</numero>
<issue>E28</issue>
<page-range>505-19</page-range></nlm-citation>
</ref>
<ref id="B69">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aparcana-Tasayco]]></surname>
<given-names><![CDATA[A. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gamboa-Cruzado]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning for management in software-defined networks: A systematic literature review]]></article-title>
<source><![CDATA[IEIE Transactions on Smart Processing and Computing]]></source>
<year>2022</year>
<volume>11</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>400-12</page-range></nlm-citation>
</ref>
<ref id="B70">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rojas Valdivia]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gamboa-Cruzado]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[de la Cruz Vélez de Villa]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Systematic literature review on machine learning and its impact on APIs deployment]]></article-title>
<source><![CDATA[Computación y Sistemas]]></source>
<year>2023</year>
<volume>27</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>1301-15</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
