{"id":189,"date":"2018-03-29T23:41:34","date_gmt":"2018-03-29T21:41:34","guid":{"rendered":"http:\/\/wp.unil.ch\/geokdd\/?page_id=189"},"modified":"2021-06-04T16:19:51","modified_gmt":"2021-06-04T14:19:51","slug":"publications","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/geokdd\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<h3 style=\"text-align: center\"><span style=\"color: #3b8dbd\"><strong>Selected publications (from 2015 to present)<\/strong><\/span><\/h3>\n<div class=\"biblio_title\">\n<div class=\"biblio_supplementary\">\n<p>\u00a0<\/p>\n<p><strong>Year 2021<\/strong><\/p>\n<div class=\"csl-right-inline\"><span class=\"biblio_title\" style=\"color: #82b965\">An Explorative Application of Random Forest Algorithm for Archaeological Predictive Modeling. A Swiss Case Study.<\/span><\/div>\n<p><span class=\"biblio_author\">Castiello Maria Elena<\/span>,<strong>\u00a0<span class=\"biblio_author\">Tonini Marj<\/span><\/strong>,\u00a0<span class=\"biblio_dateIssued\">2021\/05\/21<\/span>.\u00a0<span class=\"biblio_relatedItemTitle\">Journal of Computer Applications in Archaeology<\/span>,\u00a0<span class=\"biblio_volume\">4<\/span>\u00a0(<span class=\"biblio_number\">1<\/span>) pp.\u00a0<span class=\"biblio_pages\">110-125<\/span>..<\/p>\n<p class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/dx.doi.org\/10.5334\/jcaa.71\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/p>\n<div class=\"csl-right-inline\"><span class=\"biblio_title\" style=\"color: #82b965\">Spatial Assessment of Wildfires Susceptibility in Santa Cruz (Bolivia) Using Random Forest.<\/span><\/div>\n<p><span class=\"biblio_author\">Bustillo S\u00e1nchez Marcela<\/span>,\u00a0<strong><span class=\"biblio_author\">Tonini Marj<\/span><\/strong>,\u00a0<span class=\"biblio_author\">Mapelli Anna<\/span>,\u00a0<span class=\"biblio_author\">Fiorucci Paolo<\/span>,\u00a0<span class=\"biblio_dateIssued\">2021\/05\/20<\/span>.\u00a0<span class=\"biblio_relatedItemTitle\">Geosciences<\/span>,\u00a0<span class=\"biblio_volume\">11<\/span>\u00a0(<span class=\"biblio_number\">5<\/span>) p.\u00a0<span class=\"biblio_pages\">224<\/span>.<\/p>\n<p class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/dx.doi.org\/10.3390\/geosciences11050224\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/p>\n<p>\u00a0<\/p>\n<p><strong>Year 2020<\/strong><\/p>\n<div class=\"csl-right-inline\"><span class=\"biblio_title\" style=\"color: #82b965\">Spatio-temporal cluster analysis of recent Italian landslides.<\/span><\/div>\n<p><strong><span class=\"biblio_author\">Tonini Marj<\/span><\/strong>,\u00a0<span class=\"biblio_author\">Pecoraro Gaetano<\/span>,\u00a0<span class=\"biblio_author\">Romailler Kim<\/span>,\u00a0<span class=\"biblio_author\">Calvello Michele<\/span>,\u00a0<span class=\"biblio_dateIssued\">2020\/12\/22<\/span>.\u00a0<span class=\"biblio_relatedItemTitle\">Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards<\/span>\u00a0pp.\u00a0<span class=\"biblio_pages\">1-19<\/span>..<\/p>\n<p class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/dx.doi.org\/10.1080\/17499518.2020.1861634\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/p>\n<div class=\"csl-right-inline\"><span class=\"biblio_title\" style=\"color: #82b965\">A Machine Learning-Based Approach for Wildfire Susceptibility Mapping. The Case Study of the Liguria Region in Italy.<\/span><\/div>\n<div>\u00a0<\/div>\n<div class=\"biblio_infos\"><strong><span class=\"biblio_author\">Tonini Marj<\/span>,<\/strong>\u00a0<span class=\"biblio_author\">D&#8217;Andrea Mirko<\/span>,\u00a0<span class=\"biblio_author\">Biondi Guido<\/span>,\u00a0<span class=\"biblio_author\">Degli Esposti Silvia<\/span>,\u00a0<span class=\"biblio_author\">Trucchia Andrea<\/span>,\u00a0<span class=\"biblio_author\">Fiorucci Paolo<\/span>,\u00a0<span class=\"biblio_dateIssued\">2020\/03\/18<\/span>.\u00a0<span class=\"biblio_relatedItemTitle\">Geosciences<\/span>,\u00a0<span class=\"biblio_volume\">10<\/span>\u00a0(<span class=\"biblio_number\">3<\/span>) p.\u00a0<span class=\"biblio_pages\">105<\/span>.<\/div>\n<p class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/dx.doi.org\/10.3390\/geosciences10030105\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/p>\n<div class=\"csl-right-inline\"><span class=\"biblio_title\" style=\"color: #82b965\"> Spatio-temporal evolution of global surface temperature distributions.<\/span><\/div>\n<p><strong><span class=\"biblio_author\">Amato Federico, Guignard Fabian<\/span><\/strong>,<span class=\"biblio_author\"> Vincent Humphrey,\u00a0<\/span><span class=\"biblio_author\"><strong> Kanevski Mikhail, <\/strong>In Proceedings of the 10th International Conference on Climate Informatics (CI2020). Association for Computing Machinery, New York, NY, USA, 37\u201343. <\/span><span class=\"biblio_peer\">Peer-reviewed<\/span>.<\/p>\n<p class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/doi.org\/10.1145\/3429309.3429315\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/p>\n<p><span class=\"biblio_title\" style=\"color: #82b965\">A novel framework for spatio-temporal prediction of environmental data using deep learning.<\/span><\/p>\n<p><strong><span class=\"biblio_author\">Amato Federico, Guignard Fabian<\/span><\/strong>,<span class=\"biblio_author\"> Sylvain Robert,\u00a0<\/span><span class=\"biblio_author\"><strong> Kanevski Mikhail, <\/strong>Sci Rep 10, 22243 (2020). <\/span><span class=\"biblio_peer\">Peer-reviewed<\/span>.<\/p>\n<p class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/doi.org\/10.1038\/s41598-020-79148-7\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/p>\n<p><span class=\"biblio_title\" style=\"color: #82b965\">Early estimation of ground displacements and building damage after seismic events using SAR and LiDAR data: the case of the Amatrice earthquake in Central Italy, on 24th August 2016.<\/span><\/p>\n<p><span class=\"biblio_author\">Saganeiti Lucia, <\/span><span class=\"biblio_author\"><strong>Amato Federico,<\/strong> Nol\u00e8 Gabriele, Vona Marco, Murgante Beniamino , International Journal of Disaster Risk Reduction, October 2020. <\/span><span class=\"biblio_peer\">Peer-reviewed<\/span>.<\/p>\n<p class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/doi.org\/10.3389\/feart.2020.00255\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/p>\n<p><span class=\"biblio_title\" style=\"color: #82b965\">Advanced Analysis of Temporal Data Using Fisher-Shannon Information: Theoretical Development and Application in Geosciences.<\/span><\/p>\n<p><strong><span class=\"biblio_author\">Guignard Fabian<\/span><\/strong>,<span class=\"biblio_author\"><strong> Laib Mohamed<\/strong>, <\/span> <span class=\"biblio_author\"><strong>Amato Federico, Kanevski Mikhail, <\/strong>Front. Earth Sci., 14 July 2020. <\/span><span class=\"biblio_peer\">Peer-reviewed<\/span>.<\/p>\n<p class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/doi.org\/10.3389\/feart.2020.00255\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/p>\n<p><span class=\"biblio_title\" style=\"color: #82b965\">On Feature Selection Using Anisotropic General Regression Neural Network.<\/span><\/p>\n<p><span class=\"biblio_author\"><strong>Amato Federico, Guignard Fabian , <\/strong>Jacquet Philippe ,<strong> Kanevski Mikhail , <\/strong>\u00a0European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning,\u00a0 October 2020, ISBN 978-2-87587-074-2. <\/span><span class=\"biblio_peer\">Peer-reviewed<\/span>.<\/p>\n<p class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/doi.org\/10.3389\/feart.2020.00255\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/p>\n<\/div>\n<div>\n<div class=\"description&gt;&lt;div class=\">\n<div class=\"biblio_title\"><span class=\"biblio_title\" style=\"color: #82b965\">Analysis of air pollution time series using complexity-invariant distance and information measures.<\/span><\/div>\n<div class=\"biblio_infos\"><span class=\"biblio_author\"><strong>Amato Federico, Laib Mohamed<\/strong>, <\/span> <strong><span class=\"biblio_author\">Guignard Fabian<\/span><\/strong>, <strong><span class=\"biblio_author\">Kanevski Mikhail<\/span><\/strong>,\u00a0<span class=\"biblio_dateIssued\">2020\/02<\/span>. Physica A: Statistical Mechanics and its Applications<span class=\"biblio_peer\">. Peer-reviewed<\/span>.<\/div>\n<div class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/doi.org\/10.1016\/j.physa.2020.124391\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\u00a0<\/div>\n<div class=\"biblio_supplementary\"><hr \/>\n<p><strong>Year 2019<\/strong><\/p>\n<\/div>\n<div>\n<div class=\"description&gt;&lt;div class=\">\n<div class=\"biblio_title\"><span class=\"biblio_title\" style=\"color: #82b965\"><span class=\"biblio_title\">Wavelet Scale Variance Analysis of Wind Extremes in Mountainous Terrains<\/span>.<\/span><\/div>\n<div class=\"biblio_infos\"><span class=\"biblio_author\">Telesca Luciano<\/span>,\u00a0<strong><span class=\"biblio_author\">Guignard Fabian<\/span><\/strong>,\u00a0<span class=\"biblio_author\">Helbig Nora<\/span>,\u00a0<strong><span class=\"biblio_author\">Kanevski Mikhail<\/span><\/strong>,\u00a0<span class=\"biblio_dateIssued\">2019\/08\/07<\/span>.\u00a0<span class=\"biblio_relatedItemTitle\">Energies<\/span>,\u00a0<span class=\"biblio_volume\">12<\/span>\u00a0(<span class=\"biblio_number\">16<\/span>) p.\u00a0<span class=\"biblio_pages\">3048<\/span><span class=\"biblio_peer\">. Peer-reviewed<\/span>.<\/div>\n<div class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/dx.doi.org\/10.3390\/en12163048\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/div>\n<p><span class=\"biblio_title\" style=\"color: #82b965\">Spatio-temporal pattern distribution of landslides causing damage in Switzerland.<\/span><\/p>\n<\/div>\n<div class=\"biblio_infos\"><span class=\"biblio_author\"><strong>Marj Tonini<\/strong>, Mariaelena Cama. 2019\/07. Landslides. Peer-reviewed.<\/span><\/div>\n<div><a href=\"https:\/\/link.springer.com\/article\/10.1007\/s10346-019-01236-1?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst&amp;utm_source=ArticleAuthorOnlineFirst&amp;utm_medium=email&amp;utm_content=AA_en_06082018&amp;ArticleAuthorOnlineFirst_20190707\" target=\"_blank\" rel=\"noopener noreferrer\">[DOI]<\/a><\/div>\n<div>\u00a0<\/div>\n<div><span style=\"color: #82b965\">Analysis of temporal properties of extremes of wind measurements from 132 stations over Switzerland.<\/span><\/div>\n<\/div>\n<div class=\"biblio_infos\"><span class=\"biblio_author\">Telesca Luciano, <strong>Guignard Fabian<\/strong>, <strong>Laib Mohamed<\/strong>, <strong>Kanevski Mikhail<\/strong>, 2019\/06. Renewable Energy. Peer-reviewed.<\/span><\/div>\n<div class=\"biblio_supplementary\">[<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0960148119309280?via%3Dihub\">DOI<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div>\n<div class=\"description&gt;&lt;div class=\"><span class=\"biblio_title\" style=\"color: #82b965\">Wavelet variance scale-dependence as a dynamics discriminating tool in high-frequency urban wind speed time series.<\/span><\/div>\n<div class=\"biblio_infos\"><strong><span class=\"biblio_author\">Guignard Fabian<\/span>,<\/strong>\u00a0<span class=\"biblio_author\">Mauree Dasaraden<\/span>,\u00a0<strong><span class=\"biblio_author\">Kanevski Mikhail<\/span>,<\/strong>\u00a0<span class=\"biblio_author\">Telesca Luciano<\/span>,\u00a0<span class=\"biblio_dateIssued\">2019\/07<\/span>.\u00a0<span class=\"biblio_relatedItemTitle\">Physica A: Statistical Mechanics and its Applications<\/span>,\u00a0<span class=\"biblio_volume\">525<\/span>\u00a0pp.\u00a0<span class=\"biblio_pages\">771-777<\/span><span class=\"biblio_peer\">. Peer-reviewed<\/span>.<\/div>\n<div class=\"biblio_supplementary\">[<span class=\"biblio_doi\"><a href=\"https:\/\/dx.doi.org\/10.1016\/j.physa.2019.04.021\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/div>\n<div>\u00a0<\/div>\n<\/div>\n<div class=\"description&gt;&lt;div class=\"><span class=\"biblio_title\" style=\"color: #82b965\">Community detection analysis in wind speed-monitoring systems using mutual information-based complex network.<\/span><\/div>\n<div class=\"biblio_infos\"><strong>Laib Mohamed, Guignard Fabian, Kanevski Mikhail<\/strong>, Telesca Luciano, 2019\/04. Chaos: An Interdisciplinary Journal of Nonlinear Science, 29 (4) p. 043107. Peer-reviewed.<\/div>\n<div class=\"biblio_infos\">[<span class=\"biblio_doi\"><a href=\"https:\/\/dx.doi.org\/10.1063\/1.5054724\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a><\/span>]<\/div>\n<div style=\"text-align: justify\">\n<div id=\"BIB_52CE3A4202AE\" class=\"publication\">\n<div id=\"reference-BIB_52CE3A4202AE\" class=\"publication-reference\">\n<div>\u00a0<\/div>\n<div class=\"biblio_title\"><span class=\"biblio_title\" style=\"color: #82b965\">Linearity versus non-linearity in high frequency multilevel wind time series measured in urban areas<\/span><\/div>\n<div class=\"biblio_infos\"><span class=\"biblio_author\">Telesca Luciano<\/span>, <strong><span class=\"biblio_author\">Laib Mohamed<\/span>,\u00a0<span class=\"biblio_author\">Guignard Fabian<\/span>,\u00a0<\/strong><span class=\"biblio_author\">Mauree Dasaraden<\/span>,<strong>\u00a0<span class=\"biblio_author\">Kanevski Mikhail<\/span>,<\/strong>\u00a0<span class=\"biblio_dateIssued\">2019\/03<\/span>.\u00a0<span class=\"biblio_relatedItemTitle\">Chaos, Solitons &amp; Fractals<\/span>,\u00a0<span class=\"biblio_volume\">120<\/span>\u00a0pp.\u00a0<span class=\"biblio_pages\">234-244<\/span><span class=\"biblio_peer\">. Peer-reviewed.<\/span><\/div>\n<div class=\"biblio_supplementary\">\n<p>[<a href=\"https:\/\/dx.doi.org\/10.1016\/j.chaos.2019.02.002\" target=\"_blank\" rel=\"noopener noreferrer\">DOI]<\/a>\u00a0<i class=\"fa fa-external-link\" aria-hidden=\"true\"><\/i><\/p>\n<div id=\"BIB_D52AD443BCEE\" class=\"publication\">\n<div id=\"reference-BIB_D52AD443BCEE\" class=\"publication-reference\">\n<div class=\"biblio_title\"><span class=\"biblio_title\" style=\"color: #82b965\">Investigating the time dynamics of wind speed in complex terrains by using the Fisher\u2013Shannon method<\/span><\/div>\n<div class=\"biblio_infos\"><strong><span class=\"biblio_author\">Guignard Fabian<\/span>,<\/strong>\u00a0<span class=\"biblio_author\">Lovallo Michele<\/span>,<strong><span class=\"biblio_author\">Laib Mohamed<\/span>,\u00a0<span class=\"biblio_author\">Golay Jean<\/span>,\u00a0<span class=\"biblio_author\">Kanevski Mikhail<\/span>,\u00a0<\/strong><span class=\"biblio_author\">Helbig Nora<\/span>,\u00a0<span class=\"biblio_author\">Telesca Luciano<\/span>,\u00a0<span class=\"biblio_dateIssued\">2019\/02<\/span>.\u00a0<span class=\"biblio_relatedItemTitle\">Physica A: Statistical Mechanics and its Applications<\/span>,\u00a0<span class=\"biblio_volume\">523<\/span>\u00a0pp.\u00a0<span class=\"biblio_pages\">611-621<\/span><span class=\"biblio_peer\">. Peer-reviewed<\/span>.<\/div>\n<div class=\"biblio_infos\">[<a href=\"https:\/\/dx.doi.org\/10.1016\/j.physa.2019.02.048\" target=\"_blank\" rel=\"noopener noreferrer\">DOI]<\/a><\/div>\n<div class=\"biblio_supplementary\">\n<div id=\"BIB_16F12AF85334\" class=\"publication\">\n<div id=\"reference-BIB_16F12AF85334\" class=\"publication-reference\">\n<div>\u00a0<\/div>\n<div class=\"biblio_title\"><span class=\"biblio_title\" style=\"color: #82b965\">Fisher\u2013Shannon Complexity Analysis of High-Frequency Urban Wind Speed Time Series<\/span><\/div>\n<div class=\"biblio_infos\"><strong><span class=\"biblio_author\">Guignard Fabian<\/span>,\u00a0<\/strong><span class=\"biblio_author\">Mauree Dasaraden<\/span>,\u00a0<span class=\"biblio_author\">Lovallo Michele<\/span><strong>,\u00a0<span class=\"biblio_author\">Kanevski Mikhail<\/span>,\u00a0<\/strong><span class=\"biblio_author\">Telesca Luciano<\/span>,<span class=\"biblio_dateIssued\">2019\/01\/10<\/span>.\u00a0<span class=\"biblio_relatedItemTitle\">Entropy<\/span>,\u00a0<span class=\"biblio_volume\">21<\/span>\u00a0(<span class=\"biblio_number\">1<\/span>) p.\u00a0<span class=\"biblio_pages\">47<\/span><span class=\"biblio_peer\">. Peer-reviewed<\/span>.<\/div>\n<div class=\"biblio_infos\">[<a href=\"https:\/\/dx.doi.org\/10.3390\/e21010047\" target=\"_blank\" rel=\"noopener noreferrer\">DOI<\/a>]<\/div>\n<div>\u00a0<\/div>\n<div class=\"biblio_supplementary\"><hr \/>\n<p><strong>Year 2018<\/strong><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Fuzzy definition of Rural Urban Interface: An application based on land use change scenarios in Portugal<\/span><br \/><strong>Amato Federico, Tonini Marj, <\/strong>Murgante Beniamino, <strong>Kanevski Mikhail<\/strong>, 2018\/06. Environmental Modelling &amp; Software, 104 pp. 171-187.<br \/><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1364815217308472?via%3Dihub\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Land use changes, landslides and roads in the Phewa Watershed, Western Nepal from 1979 to 2016<\/span><br \/>Vuillez Cindy, <strong>Tonini Marj, <\/strong>Sudmeier-Rieux Karen, Devkota Sanjaya, Derron Marc-Henri, Jaboyedoff Michel, 2018\/05. Applied Geography, 94 pp. 30-40.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.apgeog.2018.03.003\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Multifractal analysis of the time series of daily means of wind speed in complex regions<\/span><br \/><strong>Laib Mohamed, Golay Jean, <\/strong>Telesca Luciano,<strong> Kanevski Mikhail<\/strong>, 2018\/04. Chaos, Solitons &amp; Fractals, 109 pp. 118-127.<br \/><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0960077918300699?via%3Dihub\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Long-range fluctuations and multifractality in connectivity density time series of a wind speed monitoring network<\/span><br \/><strong>Laib Mohamed, <\/strong>Telesca Luciano, <strong>Kanevski Mikhail<\/strong>, 2018\/03. Chaos: An Interdisciplinary Journal of Nonlinear Science, 28 (3) p. 033108.<br \/><a href=\"https:\/\/aip.scitation.org\/doi\/10.1063\/1.5022737\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Wildfire susceptibility mapping: Deterministic vs. stochastic approaches<\/span><br \/><strong>Leuenberger Michael, <\/strong>Parente Joana,<strong> Tonini Marj, <\/strong>Pereira M\u00e1rio Gonzalez, <strong>Kanevski Mikhail<\/strong>, 2018\/03. Environmental Modelling &amp; Software, 101 pp. 194-203.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.envsoft.2017.12.019\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Periodic fluctuations in correlation-based connectivity density time series: Application to wind speed-monitoring network in Switzerland<\/span><br \/><strong>Laib Mohamed, <\/strong>Telesca Luciano<strong>, Kanevski Mikhail<\/strong>, 2018\/02. Physica A: Statistical Mechanics and its Applications, 492 pp. 1555-1569. Peer-reviewed.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.physa.2017.11.081\">[DOI]<\/a> <a href=\"https:\/\/gateway.isiknowledge.com\/gateway\/Gateway.cgi?GWVersion=2&amp;SrcAuth=ResearchSoft&amp;SrcApp=RefMan&amp;DestLinkType=FullRecord&amp;DestApp=WOS&amp;KeyUT=000423495100131\">[WoS]<\/a><\/p>\n<hr \/>\n<h4 style=\"text-align: justify\">Year 2017<\/h4>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Feature selection for regression problems based on the Morisita estimator of intrinsic dimension<\/span><br \/><strong>Golay J., Leuenberger M., Kanevski M.<\/strong>, 2017\/05\/10. Pattern Recognition, 70 pp. 126-138. Peer-reviewed.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.patcog.2017.05.008\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Data-driven mapping of the potential mountain permafrost distribution<\/span><br \/>Deluigi Nicola, Lambiel Christophe, <strong>Kanevski Mikhail<\/strong>, 2017\/03\/08. Science of the Total Environment, 590-591 pp. 370\u2013380. Peer-reviewed.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.scitotenv.2017.02.041\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Unsupervised feature selection based on the Morisita estimator of intrinsic dimension<\/span><br \/><strong>Golay J., Kanevski M.<\/strong>, 2017. Knowledge-Based Systems, 135 pp. 125-134. Peer-reviewed.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.knosys.2017.08.009\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Evolution of forest fires in Portugal: from spatio-temporal point events to smoothed density maps<\/span><br \/><strong>Tonini Marj, <\/strong>Pereira M\u00e1rio Gonzalez, Parente Joana, <strong>Vega Orozco Carmen<\/strong>, 2017\/02. Natural Hazards, 85 (3) pp. 1489-1510.<br \/><a href=\"https:\/\/dx.doi.org\/10.1007\/s11069-016-2637-x\">[DOI]<\/a><\/p>\n<hr \/>\n<h4 style=\"text-align: justify\">Year 2016<\/h4>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Spatial Modelling of Extreme Wind Speed Distributions in Switzerland<\/span><br \/><strong>Laib Mohamed, Kanevski Mikhail<\/strong>, 2016\/11. Energy Procedia, 97 pp. 100-107. Peer-reviewed.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.egypro.2016.10.029\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Geomorphological activity at a rock glacier front detected with a 3D density-based clustering algorithm<\/span><br \/>Micheletti Natan,<strong> Tonini Marj, <\/strong>Lane Stuart N., 2016\/11. Geomorphology.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.geomorph.2016.11.016\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Comparing seismicity declustering techniques by means of the joint use of Allan Factor and Morisita index<\/span><br \/>Telesca L., Lovallo M.,<strong> Golay J., Kanevski M.<\/strong>, 2016. Stochastic Environmental Research and Risk Assessment, 30 pp. 77-90. Peer-reviewed.<br \/><a href=\"https:\/\/dx.doi.org\/10.1007\/s00477-015-1030-8\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #339966\">Space-time clustering analysis of wildfires: The influence of dataset characteristics, fire prevention policy decisions, weather and climate<\/span><br \/>Parente Joana, Pereira M\u00e1rio G.,<strong> Tonini Marj<\/strong>, 2016. Science of The Total Environment, 559 pp. 151-165.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.scitotenv.2016.03.129\">[DOI]<\/a><\/p>\n<hr \/>\n<h4 style=\"text-align: justify\">Year 2015<\/h4>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">A new estimator of intrinsic dimension based on the multipoint Morisita index<\/span><br \/><strong>Golay J., Kanevski M.<\/strong>, 2015\/12. Pattern Recognition, 48 (12) pp. 4070-4081. Peer-reviewed.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.patcog.2015.06.010\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Multifractal portrayal of the Swiss population<\/span><br \/><strong>Vega Orozco C. D., Golay J., Kanevski M.<\/strong>, 2015\/03. Cybergeo : European Journal of Geography [En ligne] pp. 1-16. Peer-reviewed.<br \/><a href=\"https:\/\/dx.doi.org\/10.4000\/cybergeo.26829\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Characterization and spatial distribution of gravitational slope deformation in the Upper Rhone catchment (Western Swiss Alps)<\/span><br \/>Pedrazzini Andrea, Humair Florian, Jaboyedoff Michel, <strong>Tonini Marj<\/strong>, 2015\/03. Landslides pp. 1-19.<br \/><a href=\"https:\/\/dx.doi.org\/10.1007\/s10346-015-0562-9\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Geospatial approach for defining the Wildland-Urban Interface in the Alpine environment<\/span><br \/>Conedera M.,<strong> Tonini M., <\/strong>Oleggini L.,<strong> Vega Orozco C., Leuenberger M., <\/strong>Pezzatti Gianni B., 2015. Computers, Environment and Urban Systems, 52 pp. 10-20.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.compenvurbsys.2015.02.003\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Space-time clustering analysis performance of an aggregated dataset: The case of wildfires in Portugal<\/span><br \/>Pereira M\u00e1rio G., Caramelo Liliana, <strong>Orozco Carmen Vega,<\/strong> Costa Ricardo, <strong>Tonini Marj<\/strong>, 2015. Environmental Modelling &amp; Software, 72 (17) pp. 239-249.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.envsoft.2015.05.016\">[DOI]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Morisita-based feature selection for regression problems<\/span><br \/><strong>Golay J., Leuenberger M., Kanevski M.<\/strong>, 2015. pp. 279-284 dans Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). Peer-reviewed, d-side pub.<br \/><a href=\"https:\/\/serval.unil.ch\/notice\/serval:BIB_80A1F119D4F5\">[serval:BIB_80A1F119D4F5]<\/a><\/p>\n<p style=\"text-align: justify\"><span style=\"color: #82b965\">Morisita-based space-clustering analysis of Swiss seismicity<\/span><br \/>Telesca L.,<strong> Golay J., Kanevski M.<\/strong>, 2015. Physica A: Statistical Mechanics and its Applications, 419 pp. 40-47. Peer-reviewed.<br \/><a href=\"https:\/\/dx.doi.org\/10.1016\/j.physa.2014.10.004\">[DOI]<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n<hr class=\"wp-block-separator is-style-wide\" \/>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-background has-cyan-bluish-gray-background-color has-cyan-bluish-gray-color is-style-wide\" \/>\n","protected":false},"excerpt":{"rendered":"<p>Selected publications (from 2015 to present) \u00a0 Year 2021 An Explorative Application of Random Forest Algorithm for Archaeological Predictive Modeling. A Swiss Case Study. Castiello Maria Elena,\u00a0Tonini Marj,\u00a02021\/05\/21.\u00a0Journal of Computer Applications in Archaeology,\u00a04\u00a0(1) pp.\u00a0110-125..&#46;&#46;&#46;<\/p>\n","protected":false},"author":108,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"class_list":["post-189","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/pages\/189","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/users\/108"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/comments?post=189"}],"version-history":[{"count":0,"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/pages\/189\/revisions"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/geokdd\/wp-json\/wp\/v2\/media?parent=189"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}