giancarlo vercellino

Canonical link: https://rscholar.com/aut/giancarlo+vercellino

15 Packages

0.3 R~Index

Package ⇅	Year	Total~Citation	Depended	Imported	Suggested	Enhanced
audrex: Automatic Dynamic Regression using Extreme Gradient Boosting (Version 2.0.1)Maintainer	2021	0	0	0	0	0
codez: Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based on Tensorflow (Version 1.0.0)Maintainer	2022	0	0	0	0	0
dymo: Dynamic Mode Decomposition for Multivariate Time Feature Prediction (Version 1.1.0)Maintainer	2022	0	0	0	0	0
hmix: Hidden Markov Model for Predicting Time Sequences with Mixture Sampling (Version 1.0.2)Maintainer	2024	0	0	0	0	0
janus: Optimized Recommending System Based on 'tensorflow' (Version 1.0.0)Maintainer	2022	0	0	0	0	0
jenga: Fast Extrapolation of Time Features using K-Nearest Neighbors (Version 1.3.0)Maintainer	2021	0	0	0	0	0
lambdaTS: Variational Seq2Seq Model with Lambda Transformer for Time Series Analysis (Version 1.1)Maintainer	2021	0	0	0	0	0
naive: Empirical Extrapolation of Time Feature Patterns (Version 1.2.3)Maintainer	2022	0	0	0	0	0
proteus: Multiform Seq2Seq Model for Time-Feature Analysis (Version 1.1.4)Maintainer	2021	0	0	0	0	0
segen: Sequence Generalization Through Similarity Network (Version 1.1.0)Maintainer	2022	0	0	0	0	0
sense: Automatic Stacked Ensemble for Regression Tasks (Version 1.1.0)Maintainer	2021	0	0	0	0	0
snap: Simple Neural Application (Version 1.1.0)Maintainer	2021	0	0	0	0	0
spinner: An Implementation of Graph Net Architecture Based on 'torch' (Version 1.1.0)Maintainer	2023	0	0	0	0	0
spooky: Time Feature Extrapolation Using Spectral Analysis and Jack-Knife Resampling (Version 1.4.0)Maintainer	2022	0	0	0	0	0
tetragon: Automatic Sequence Prediction by Expansion of the Distance Matrix (Version 1.3.0)Maintainer	2021	0	0	0	0	0

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.