{"id":30,"date":"2023-03-18T13:58:03","date_gmt":"2023-03-18T13:58:03","guid":{"rendered":"https:\/\/quinoneslab.cs.siue.edu\/?page_id=30"},"modified":"2025-03-25T17:28:00","modified_gmt":"2025-03-25T17:28:00","slug":"papers","status":"publish","type":"page","link":"https:\/\/quinoneslab.cs.siue.edu\/index.php\/papers\/","title":{"rendered":"Published Materials"},"content":{"rendered":"\n<h1>Journal Papers<\/h1>\n\n\n\n<ul>\n<li><strong>Qui\u00f1ones, R<\/strong>., <strong>Banu, S. M<\/strong>., &amp; Gultepe, E. (2025). GCNet: A Deep Learning Framework for Enhanced Grape Cluster Segmentation and Yield Estimation Incorporating Occluded Grape Detection with a Correction Factor for Indoor Experimentation.&nbsp;<em>Journal of Imaging<\/em>,&nbsp;<em>11<\/em>(2), 34.&nbsp;<a href=\"https:\/\/doi.org\/10.3390\/jimaging11020034\">https:\/\/doi.org\/10.3390\/jimaging11020034<\/a><\/li>\n\n\n\n<li><strong>Qui\u00f1ones, R.,&nbsp;<\/strong>Samal, A., Das Choudhury, S., &amp; Mu\u00f1oz-Arriola, F. (2023). OSC-CO<sup>2<\/sup>: coattention and cosegmentation framework for plant state change with multiple features. Frontiers in Plant Science, 14, 1211409.<a href=\"https:\/\/doi.org\/10.3389\/fpls.2023.1211409\">https:\/\/doi.org\/10.3389\/fpls.2023.1211409<\/a><\/li>\n\n\n\n<li><strong>Benjamin Wingerter<\/strong>,&nbsp;<strong>Rubi Qui\u00f1ones<\/strong>, and Dominic Cristiano. August 2023. DA3-BES: Exploring Complex Adaptive Systems Using Dynamic Multi-Agent Models for Honey Bee Colony Environment Simulation. Teaching Issues and Experiments in Ecology, Vol. 19: Experiment #1. <a rel=\"noreferrer noopener\" href=\"https:\/\/tiee.esa.org\/vol\/v19\/experiments\/wingerter\/abstract.html\" target=\"_blank\">https:\/\/tiee.esa.org\/vol\/v19\/experiments\/wingerter\/abstract.html<\/a><\/li>\n\n\n\n<li>Cox, M., Harrison, H., Partelow, S., Curtis, S., Elser, S., Hammond Wagner, C., &#8230; <strong>R. Qui\u00f1ones <\/strong>&amp; Whittaker, B. (2023). How academic podcasting can change academia and its relationship with society: A conversation and guide.&nbsp;<em>Frontiers in Communication<\/em>,&nbsp;<em>8<\/em>. <a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/fcomm.2023.1090112\/full\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.frontiersin.org\/articles\/10.3389\/fcomm.2023.1090112\/full <\/a><\/li>\n\n\n\n<li>F. E. Hogan, J. A. Fowler, C. D. Barnes, A. K. Ludwig , D. J. Cristiano, K., D. Morales,&nbsp;<strong>R. Qui\u00f1ones<\/strong>, D. Twidwell, J. M. Dauer. \u201cNew multimedia resources for ecological resilience education in modern university classrooms.\u201d Eco-Sphere: Eco-Education Track. October 2022.&nbsp;http:\/\/doi.org\/10.1002\/ecs2.4245. <a rel=\"noreferrer noopener\" href=\"https:\/\/esajournals.onlinelibrary.wiley.com\/doi\/abs\/10.1002\/ecs2.4245\" target=\"_blank\">https:\/\/esajournals.onlinelibrary.wiley.com\/doi\/abs\/10.1002\/ecs2.4245<\/a><\/li>\n\n\n\n<li><strong>Qui\u00f1ones R<\/strong>, Munoz-Arriola F, Choudhury SD, Samal A (2021) Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping. PLoS ONE 16(9): e0257001.&nbsp;<a href=\"https:\/\/doi.org\/10.1371\/journal.pone.0257001\">https:\/\/doi.org\/10.1371\/journal.pone.0257001<\/a><\/li>\n<\/ul>\n\n\n\n<h1>Software<\/h1>\n\n\n\n<ul>\n<li>(2025) GCNet: <a href=\"https:\/\/github.com\/rubiquinones\/GCNet\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/rubiquinones\/GCNet<\/a><\/li>\n\n\n\n<li>(2023) Bee Simulation Model: <a rel=\"noreferrer noopener\" href=\"https:\/\/github.com\/benwingerter\/bee-simulation\/releases\" target=\"_blank\">https:\/\/github.com\/benwingerter\/bee-simulation\/releases<\/a><\/li>\n\n\n\n<li>(2023) OSC-CO2: <a href=\"https:\/\/github.com\/rubiquinones\/OSC-CO2\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/rubiquinones\/OSC-CO2<\/a><\/li>\n\n\n\n<li>(2019) HypeRpheno: <a href=\"https:\/\/plantvision.unl.edu\/Softwares\/HypeRpheno.zip\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/plantvision.unl.edu\/Softwares\/HypeRpheno.zip<\/a><\/li>\n<\/ul>\n\n\n\n<h1>Datasets<\/h1>\n\n\n\n<ul>\n<li>(2025) GrapeSet for Yield Estimation: <a href=\"https:\/\/doi.org\/10.5281\/zenodo.14019981\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.5281\/zenodo.14019981<\/a><\/li>\n\n\n\n<li>(2023) CosegPP+: <a href=\"https:\/\/doi.org\/10.5281\/zenodo.6863013\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.5281\/zenodo.6863013<\/a><\/li>\n\n\n\n<li>(2021) CosegPP Dataset Repository Collected Via a High-Throughput Imaging System: <a href=\"https:\/\/doi.org\/10.5281\/zenodo.5117176\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/doi.org\/10.5281\/zenodo.5117176<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Journal Papers Software Datasets<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/quinoneslab.cs.siue.edu\/index.php\/wp-json\/wp\/v2\/pages\/30"}],"collection":[{"href":"https:\/\/quinoneslab.cs.siue.edu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/quinoneslab.cs.siue.edu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/quinoneslab.cs.siue.edu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/quinoneslab.cs.siue.edu\/index.php\/wp-json\/wp\/v2\/comments?post=30"}],"version-history":[{"count":13,"href":"https:\/\/quinoneslab.cs.siue.edu\/index.php\/wp-json\/wp\/v2\/pages\/30\/revisions"}],"predecessor-version":[{"id":258,"href":"https:\/\/quinoneslab.cs.siue.edu\/index.php\/wp-json\/wp\/v2\/pages\/30\/revisions\/258"}],"wp:attachment":[{"href":"https:\/\/quinoneslab.cs.siue.edu\/index.php\/wp-json\/wp\/v2\/media?parent=30"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}