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This project deals with the task "Image Classification for Argumentation" for the Touché 2023 dataset. It attempts to classify argumentative images into a relevant topic using extracted annotation labels from the computer vision APIs Google Cloud Vision and Clarifai. For this purpose, the results of different classification models are compared with each other. Our approach follows the AVCA framework of Araujo et al.

Algorithm to detect places of interest (POI) in trajectories, according to Primault, V. (2018) Practically Preserving and Evaluating Location Privacy.

Spring Boot Backend for Private Routes Application

A parallelized C++ implementation of the Genitor II algorithm for semiring neural networks (semiring NN).

Unüberwachtes Lernen mittels Autoencoder auf Genexpressionsdaten des Human Cell Atlas