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💧🌏 Greg CocksAssessment Of Snow Cover Dynamics And The Effects Of Environmental Drivers In High Mountain Ecosystems -- <a href="https://doi.org/10.1016/j.eiar.2025.107969" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1016/j.eiar.2025.107969</a> <-- shared paper -- <a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatial</a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#mapping</a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#remotesensing</a> <a href="https://techhub.social/tags/earthobservation" class="mention hashtag" rel="nofollow noopener" target="_blank">#earthobservation</a> <a href="https://techhub.social/tags/snow" class="mention hashtag" rel="nofollow noopener" target="_blank">#snow</a> <a href="https://techhub.social/tags/ice" class="mention hashtag" rel="nofollow noopener" target="_blank">#ice</a> <a href="https://techhub.social/tags/snowcover" class="mention hashtag" rel="nofollow noopener" target="_blank">#snowcover</a> <a href="https://techhub.social/tags/dynamics" class="mention hashtag" rel="nofollow noopener" target="_blank">#dynamics</a> <a href="https://techhub.social/tags/climatechange" class="mention hashtag" rel="nofollow noopener" target="_blank">#climatechange</a> <a href="https://techhub.social/tags/mountains" class="mention hashtag" rel="nofollow noopener" target="_blank">#mountains</a> <a href="https://techhub.social/tags/ecosystems" class="mention hashtag" rel="nofollow noopener" target="_blank">#ecosystems</a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatialanalysis</a> <a href="https://techhub.social/tags/spatiotemporal" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatiotemporal</a> <a href="https://techhub.social/tags/MODIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#MODIS</a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener" target="_blank">#model</a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modeling</a> <a href="https://techhub.social/tags/extremeweather" class="mention hashtag" rel="nofollow noopener" target="_blank">#extremeweather</a> <a href="https://techhub.social/tags/water" class="mention hashtag" rel="nofollow noopener" target="_blank">#water</a> <a href="https://techhub.social/tags/hydrology" class="mention hashtag" rel="nofollow noopener" target="_blank">#hydrology</a> <a href="https://techhub.social/tags/climate" class="mention hashtag" rel="nofollow noopener" target="_blank">#climate</a> <a href="https://techhub.social/tags/zones" class="mention hashtag" rel="nofollow noopener" target="_blank">#zones</a> <a href="https://techhub.social/tags/trendanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#trendanalysis</a> <a href="https://techhub.social/tags/linearregression" class="mention hashtag" rel="nofollow noopener" target="_blank">#linearregression</a> <a href="https://techhub.social/tags/RandomForest" class="mention hashtag" rel="nofollow noopener" target="_blank">#RandomForest</a> <a href="https://techhub.social/tags/cryosphere" class="mention hashtag" rel="nofollow noopener" target="_blank">#cryosphere</a>

💧🌏 Greg CocksAvalanche Debris Detection From Sentinel-2 Data Using Fuzzy Machine Learning And Colour Spaces For The Indian Himalaya -- <a href="https://doi.org/10.1080/2150704X.2025.2488532" rel="nofollow noopener" translate="no" target="_blank">https://doi.org/10.1080/2150704X.2025.2488532</a> <-- shared paper -- <a href="https://techhub.social/tags/GIS" class="mention hashtag" rel="nofollow noopener" target="_blank">#GIS</a> <a href="https://techhub.social/tags/spatial" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatial</a> <a href="https://techhub.social/tags/mapping" class="mention hashtag" rel="nofollow noopener" target="_blank">#mapping</a> <a href="https://techhub.social/tags/snowavalanches" class="mention hashtag" rel="nofollow noopener" target="_blank">#snowavalanches</a> <a href="https://techhub.social/tags/snow" class="mention hashtag" rel="nofollow noopener" target="_blank">#snow</a> <a href="https://techhub.social/tags/avalanches" class="mention hashtag" rel="nofollow noopener" target="_blank">#avalanches</a> <a href="https://techhub.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://techhub.social/tags/fuzzyclassification" class="mention hashtag" rel="nofollow noopener" target="_blank">#fuzzyclassification</a> <a href="https://techhub.social/tags/SVM" class="mention hashtag" rel="nofollow noopener" target="_blank">#SVM</a> <a href="https://techhub.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://techhub.social/tags/randomforest" class="mention hashtag" rel="nofollow noopener" target="_blank">#randomforest</a> <a href="https://techhub.social/tags/model" class="mention hashtag" rel="nofollow noopener" target="_blank">#model</a> <a href="https://techhub.social/tags/modeling" class="mention hashtag" rel="nofollow noopener" target="_blank">#modeling</a> <a href="https://techhub.social/tags/forecasting" class="mention hashtag" rel="nofollow noopener" target="_blank">#forecasting</a> <a href="https://techhub.social/tags/risk" class="mention hashtag" rel="nofollow noopener" target="_blank">#risk</a> <a href="https://techhub.social/tags/hazard" class="mention hashtag" rel="nofollow noopener" target="_blank">#hazard</a> <a href="https://techhub.social/tags/massmovement" class="mention hashtag" rel="nofollow noopener" target="_blank">#massmovement</a> <a href="https://techhub.social/tags/engineeringgeology" class="mention hashtag" rel="nofollow noopener" target="_blank">#engineeringgeology</a> <a href="https://techhub.social/tags/remotesensing" class="mention hashtag" rel="nofollow noopener" target="_blank">#remotesensing</a> <a href="https://techhub.social/tags/earthobservation" class="mention hashtag" rel="nofollow noopener" target="_blank">#earthobservation</a> <a href="https://techhub.social/tags/imagery" class="mention hashtag" rel="nofollow noopener" target="_blank">#imagery</a> <a href="https://techhub.social/tags/spatialanalysis" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatialanalysis</a> <a href="https://techhub.social/tags/spatiotemporal" class="mention hashtag" rel="nofollow noopener" target="_blank">#spatiotemporal</a> <a href="https://techhub.social/tags/change" class="mention hashtag" rel="nofollow noopener" target="_blank">#change</a> <a href="https://techhub.social/tags/debris" class="mention hashtag" rel="nofollow noopener" target="_blank">#debris</a> <a href="https://techhub.social/tags/detection" class="mention hashtag" rel="nofollow noopener" target="_blank">#detection</a> <a href="https://techhub.social/tags/satellite" class="mention hashtag" rel="nofollow noopener" target="_blank">#satellite</a> <a href="https://techhub.social/tags/sentinel" class="mention hashtag" rel="nofollow noopener" target="_blank">#sentinel</a> <a href="https://techhub.social/tags/Himalaya" class="mention hashtag" rel="nofollow noopener" target="_blank">#Himalaya</a> <a href="https://techhub.social/tags/Himalayas" class="mention hashtag" rel="nofollow noopener" target="_blank">#Himalayas</a> <a href="https://techhub.social/tags/performance" class="mention hashtag" rel="nofollow noopener" target="_blank">#performance</a>

iCode2I scaled up the popular Palmer Penguins machine learning dataset from 344 rows to 100k rows using adversarial random forest, with an accuracy of 88%.Now, you have more rows of data with which to train your classification models.You can download it here, along with R & Python scripts, to load and view the dataset: <a href="https://ieee-dataport.org/documents/palmer-penguins-100k-0" rel="nofollow noopener" translate="no" target="_blank">https://ieee-dataport.org/documents/palmer-penguins-100k-0</a>Have a dataset you want to scale up? Say hello!<a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machinelearning</a> <a href="https://mastodon.social/tags/randomforest" class="mention hashtag" rel="nofollow noopener" target="_blank">#randomforest</a> <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#python</a> <a href="https://mastodon.social/tags/datascience" class="mention hashtag" rel="nofollow noopener" target="_blank">#datascience</a> <a href="https://mastodon.social/tags/datasets" class="mention hashtag" rel="nofollow noopener" target="_blank">#datasets</a> <a href="https://mastodon.social/tags/syntheticdatageneration" class="mention hashtag" rel="nofollow noopener" target="_blank">#syntheticdatageneration</a> <a href="https://mastodon.social/tags/ai" class="mention hashtag" rel="nofollow noopener" target="_blank">#ai</a>

Felix SchönbrodtOur paper about the comparison of <a href="https://scicomm.xyz/tags/machineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#machineLearning</a> and regression analysis in predicting <a href="https://scicomm.xyz/tags/sexual" class="mention hashtag" rel="nofollow noopener" target="_blank">#sexual</a> reoffenses will be published in "<a href="https://scicomm.xyz/tags/Assessment" class="mention hashtag" rel="nofollow noopener" target="_blank">#Assessment</a>" Guess what? "<a href="https://scicomm.xyz/tags/RandomForest" class="mention hashtag" rel="nofollow noopener" target="_blank">#RandomForest</a> Does Not Outperform Logistic Regression in the Prediction of Sexual Recidivism"With Sonja Etzler, @MarRettenberger@twitter.com, <a href="https://fosstodon.org/@florianpargent" class="u-url mention" rel="nofollow noopener" target="_blank">@florianpargent</a> Preprint: <a href="https://psyarxiv.com/z6ky2" rel="nofollow noopener" target="_blank">https://psyarxiv.com/z6ky2</a><a href="https://scicomm.xyz/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#ML</a> <a href="https://scicomm.xyz/tags/preprint" class="mention hashtag" rel="nofollow noopener" target="_blank">#preprint</a> <a href="https://scicomm.xyz/tags/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#psychology</a>

Omid V. EbrahimiInteresting new study estimating the <a href="https://mastodon.social/tags/replicability" class="mention hashtag" rel="nofollow noopener" target="_blank">#replicability</a> of published research in <a href="https://mastodon.social/tags/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#psychology</a> over the past 20 years.The paper includes *nearly all papers* published in six top psychology <a href="https://mastodon.social/tags/journals" class="mention hashtag" rel="nofollow noopener" target="_blank">#journals</a> over last 2 decades.<a href="https://www.pnas.org/doi/10.1073/pnas.2208863120" rel="nofollow noopener" target="_blank">https://www.pnas.org/doi/10.1073/pnas.2208863120</a>The researchers used a <a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a> model (<a href="https://mastodon.social/tags/RandomForest" class="mention hashtag" rel="nofollow noopener" target="_blank">#RandomForest</a> & logistic regression ensemble) to estimate the replication likelihood of over 14,000 <a href="https://mastodon.social/tags/articles" class="mention hashtag" rel="nofollow noopener" target="_blank">#articles</a> from 2000-2019 in six subfields of psychology.<a href="https://mastodon.social/tags/Science" class="mention hashtag" rel="nofollow noopener" target="_blank">#Science</a> <a href="https://mastodon.social/tags/Academia" class="mention hashtag" rel="nofollow noopener" target="_blank">#Academia</a> <a href="https://mastodon.social/tags/Research" class="mention hashtag" rel="nofollow noopener" target="_blank">#Research</a> <a href="https://mastodon.social/tags/Fediverse" class="mention hashtag" rel="nofollow noopener" target="_blank">#Fediverse</a> <a href="https://mastodon.social/tags/OpenAccess" class="mention hashtag" rel="nofollow noopener" target="_blank">#OpenAccess</a>

LokiA well-crafted animation tells more than a thousand words 🎥 . Using <a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#rstats</a> <a href="https://mastodon.social/tags/ggplot2" class="mention hashtag" rel="nofollow noopener" target="_blank">#ggplot2</a> and <a href="https://mastodon.social/tags/gganimate" class="mention hashtag" rel="nofollow noopener" target="_blank">#gganimate</a> to understand the incremental performance gain (and saturation) of ensemble regressors. <a href="https://mastodon.social/tags/randomforest" class="mention hashtag" rel="nofollow noopener" target="_blank">#randomForest</a> <a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#MachineLearning</a> 💻 🧠

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