This repository contains all necessary meta information, results and source files to reproduce the results in the publication Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, and Ralph Ewerth: "Ontology-driven Event Type Classification…
[should be linear at the end for classification] graph convolution mdoel with Pytorch GCN, to output an action (movement) of a hand, by reading in skeleton datae 21 joints, without images, FPHA Dataset, in given 45 Classes, such es opening a soap bottle, a sod…
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery p…
Connecting Project COUNTER ebook usage data to Library of Congress Classification and Library of Congress Subject Headings from the WorldCat API using OpenRefine (⭐ 0)
Further, we introduce a nuanced classification of participant roles to distinguish five user groups (super frequent posters, frequent posters, infrequent posters, frequent lurkers, and infrequent lurkers) with super frequent posters showing significantly highe…
automated analysis-classification, clustering, topic modeling, keyword extraction (⭐ 4)
Team GuYuShiJie~'s 15th (top 2%) solution of cervix type classification in Kaggle 2017 competition, using PyTorch. (⭐ 19)
Classification of Cervical Cells Using Hybrid Deep Feature Fusion Techniques. (⭐ 15)
Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving judicial decisions. This can be useful, for both lawyers and judges, as an assisting tool to ra…
In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant work, much of it from the previous millennium. Shallow and…
In machine learning, deep learning (DL) focuses on utilizing multilayered neural networks to perform tasks such as classification, regression, and representation
In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning. This historical survey compactly summarizes relevant work, much of it from the previous millennium. Shallow and…
First global land cover maps from the global component of the Copernicus Land Service, derived from PROBA-V satellite observations. Collection 2 refers to the first global maps, in 100m spatial resolution grid (collection 1 was a demonstration over Africa). Fi…