Updates on CRAN: abind (1.4-8), antaresRead (2.7.2), archive (1.1.9), betareg (3.2-1), biostats101 (0.1.1), eodhdR2 (0.5.1), esci (1.0.4), FeatureExtraction (3.7.1), formatters (0.5.9), ichimoku (1.5.5)
Updates on CRAN: adelie (1.0.2), DOYPAColors (0.0.2), FeatureExtraction (3.7.0), GGIR (3.1-4), goldfish (1.6.10), HDTSA (1.0.4), KLINK (1.0.2), landsepi (1.5.0), lgrExtra (0.0.9), LWFBrook90R (0.6.0), PlotTools (0.3.1), Rilostat (2.2.0), rshift (3.1.0)
Updates on CRAN: AHPtools (0.3.0), CovRegRF (2.0.1), EloRating (0.46.18), fdaPDE (1.1-19), FeatureExtraction (3.6.0), lineup (0.44), NMsim (0.1.2), parallelpam (1.4.3), performance (0.12.1), protti (0.9.0), Rapp (0.2.0)
New on CRAN: FeatureExtraction (3.5.2). View at https://CRAN.R-project.org/package=FeatureExtraction
New CRAN package FeatureExtraction with initial version 3.5.2 #rstatshttps://cran.r-project.org/package=FeatureExtraction
New publication in IEEE TLT "A data-driven approach for the identification of features for automated feedback on academic essays" with Mohsin Abbas as first author. Preprint available here: kalz.cc/publication/...doi.org/10.1109/TLT....
For predicting and improving the quality of essays, text analytic metrics (surface, syntactic, morphological and semantic features) can be used to provide formative feedback to the students in higher ...
Extensibility Of #UNet #NeuralNetwork #Model #Hydrographic #FeatureExtraction & Implications For #Hydrologic #Modeling - doi.org/10.3390/rs13... - #GIS #spatial #mapping #ML #remotesensing #surfacewater #NHD #bluelines #deeplearning #AI #LiDAR #ifSAR #ANN #HPC #DEM #opendata #3dep #elevation #USGS
