Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
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Updated
Apr 26, 2021 - Jupyter Notebook
Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
Snapshot of Toulouse public library customer habits (Médiathèque José Cabanis). Cleaning messy datasets of musical, cinematic, and literary checkouts; includes data-cleaning steps, analysis notebook revealing cultural tastes in the Pink City.
Code to reproduce analysis from "Dealing with area-to-point spatial misalignment in species distribution models" published in Ecography.
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