Assessment Of Snow Cover Dynamics And The Effects Of Environmental Drivers In High Mountain Ecosystems
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https://doi.org/10.1016/j.eiar.2025.107969 <-- shared paper
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#GIS #spatial #mapping #remotesensing #earthobservation #snow #ice #snowcover #dynamics #climatechange #mountains #ecosystems #spatialanalysis #spatiotemporal #MODIS #model #modeling #extremeweather #water #hydrology #climate #zones #trendanalysis #linearregression #RandomForest #cryosphere

Avalanche Debris Detection From Sentinel-2 Data Using Fuzzy Machine Learning And Colour Spaces For The Indian Himalaya
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https://doi.org/10.1080/2150704X.2025.2488532 <-- shared paper
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#GIS #spatial #mapping #snowavalanches #snow #avalanches #machinelearning #fuzzyclassification #SVM #AI #randomforest #model #modeling #forecasting #risk #hazard #massmovement #engineeringgeology #remotesensing #earthobservation #imagery #spatialanalysis #spatiotemporal #change #debris #detection #satellite #sentinel #Himalaya #Himalayas #performance

I 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: https://ieee-dataport.org/documents/palmer-penguins-100k-0

Have a dataset you want to scale up? Say hello!

Our paper about the comparison of #machineLearning and regression analysis in predicting #sexual reoffenses will be published in "#Assessment"

Guess what? "#RandomForest Does Not Outperform Logistic Regression in the Prediction of Sexual Recidivism"

With Sonja Etzler, @MarRettenberger@twitter.com, @florianpargent

Preprint: https://psyarxiv.com/z6ky2

Interesting new study estimating the #replicability of published research in #psychology over the past 20 years.

The paper includes *nearly all papers* published in six top psychology #journals over last 2 decades.

https://www.pnas.org/doi/10.1073/pnas.2208863120

The researchers used a #MachineLearning model (#RandomForest & logistic regression ensemble) to estimate the replication likelihood of over 14,000 #articles from 2000-2019 in six subfields of psychology.

A well-crafted animation tells more than a thousand words . Using #rstats #ggplot2 and #gganimate to understand the incremental performance gain (and saturation) of ensemble regressors. #randomForest #MachineLearning