no code implementations • ICON 2021 • Veronika Solopova, Oana-Iuliana Popescu, Margarita Chikobava, Ralf Romeike, Tim Landgraf, Christoph Benzmüller
Reflection about a learning process is beneficial to students in higher education (Bub-nys, 2019).
no code implementations • 28 Jan 2024 • Veronika Solopova, Viktoriia Herman, Christoph Benzmüller, Tim Landgraf
Many European citizens become targets of the Kremlin propaganda campaigns, aiming to minimise public support for Ukraine, foster a climate of mistrust and disunity, and shape elections (Meister, 2022).
no code implementations • 10 Jul 2023 • Veronika Solopova, Adrian Gruszczynski, Eiad Rostom, Fritz Cremer, Sascha Witte, Chengming Zhang, Fernando Ramos López Lea Plößl, Florian Hofmann, Ralf Romeike, Michaela Gläser-Zikuda, Christoph Benzmüller, Tim Landgraf
Written reflective practice is a regular exercise pre-service teachers perform during their higher education.
1 code implementation • 25 Jan 2023 • Veronika Solopova, Oana-Iuliana Popescu, Christoph Benzmüller, Tim Landgraf
The full-scale conflict between the Russian Federation and Ukraine generated an unprecedented amount of news articles and social media data reflecting opposing ideologies and narratives.
1 code implementation • 14 Nov 2022 • Leon Sixt, Tim Landgraf
Here, we investigate the DTD theory to better understand this perplexing behavior and found that the Deep Taylor Decomposition is equivalent to the basic gradient$\times$input method when the Taylor root points (an important parameter of the algorithm chosen by the user) are locally constant.
no code implementations • 17 May 2022 • Youssef Nader, Leon Sixt, Tim Landgraf
K-nearest neighbors (KNN) is one of the earliest and most established algorithms in machine learning.
1 code implementation • ICLR 2022 • Leon Sixt, Martin Schuessler, Oana-Iuliana Popescu, Philipp Weiß, Tim Landgraf
In a study, we assess if participants can identify the relevant set of attributes compared to the ground-truth.
no code implementations • 1 Jan 2021 • Leon Sixt, Martin Schuessler, Philipp Weiß, Tim Landgraf
Using PCA on the classifier’s input, we can also create “isofactuals”– image interpolations with the same outcome but visually meaningful different features.
no code implementations • 1 Jan 2021 • Benjamin Wild, David Dormagen, Michael L Smith, Tim Landgraf
Honey bees are a popular model for complex social systems, in which global behavior emerges from the actions and interactions of thousands of individuals.
4 code implementations • ICLR 2020 • Karl Schulz, Leon Sixt, Federico Tombari, Tim Landgraf
Attribution methods provide insights into the decision-making of machine learning models like artificial neural networks.
1 code implementation • ICML 2020 • Leon Sixt, Maximilian Granz, Tim Landgraf
The paper provides a framework to assess the faithfulness of new and existing modified BP methods theoretically and empirically.
no code implementations • 21 Mar 2018 • Hauke Jürgen Mönck, Andreas Jörg, Tobias von Falkenhausen, Julian Tanke, Benjamin Wild, David Dormagen, Jonas Piotrowski, Claudia Winklmayr, David Bierbach, Tim Landgraf
Here we introduce BioTracker, an open-source computer vision framework, that provides programmers with core functionalities that are essential parts of a tracking software, such as video I/O, graphics overlays and mouse and keyboard interfaces.
no code implementations • 13 Feb 2018 • Benjamin Wild, Leon Sixt, Tim Landgraf
Tracking and identifying all bees in the colony over their lifetimes therefore may likely shed light on the interplay of individual differences and colony behavior.
1 code implementation • 9 Feb 2018 • Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, Fernando Wario, David Dormagen, Tim Landgraf
Computational approaches to the analysis of collective behavior in social insects increasingly rely on motion paths as an intermediate data layer from which one can infer individual behaviors or social interactions.
no code implementations • 22 Aug 2017 • Fernando Wario, Benjamin Wild, Raúl Rojas, Tim Landgraf
In this paper, we describe our recording setup, the image processing steps performed for dance detection and decoding and an algorithm to map dances to the field.
1 code implementation • 4 Nov 2016 • Leon Sixt, Benjamin Wild, Tim Landgraf
Deep Convolutional Neuronal Networks (DCNNs) are showing remarkable performance on many computer vision tasks.