Search Results for author:
Found 16 papers, 7 papers with code
A German Corpus of Reflective Sentences
Reflection about a learning process is beneficial to students in higher education (Bub-nys, 2019).
Check News in One Click: NLP-Empowered Pro-Kremlin Propaganda Detection
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).
PapagAI:Automated Feedback for Reflective Essays
Written reflective practice is a regular exercise pre-service teachers perform during their higher education.
Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram posts
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.
A Rigorous Study Of The Deep Taylor Decomposition
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.
DNNR: Differential Nearest Neighbors Regression
K-nearest neighbors (KNN) is one of the earliest and most established algorithms in machine learning.
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
In a study, we assess if participants can identify the relevant set of attributes compared to the ground-truth.
Individuality in the hive - Learning to embed lifetime social behaviour of honey bees
Honey bees are a popular model for complex social systems, in which global behavior emerges from the actions and interactions of thousands of individuals.
Interpretability Through Invertibility: A Deep Convolutional Network With Ideal Counterfactuals And Isosurfaces
Using PCA on the classifier’s input, we can also create “isofactuals”– image interpolations with the same outcome but visually meaningful different features.
Restricting the Flow: Information Bottlenecks for Attribution
Attribution methods provide insights into the decision-making of machine learning models like artificial neural networks.
When Explanations Lie: Why Many Modified BP Attributions Fail
The paper provides a framework to assess the faithfulness of new and existing modified BP methods theoretically and empirically.
BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking
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.
Automatic localization and decoding of honeybee markers using deep convolutional neural networks
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.
Tracking all members of a honey bee colony over their lifetime
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.
Automatic detection and decoding of honey bee waggle dances
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.
RenderGAN: Generating Realistic Labeled Data
Deep Convolutional Neuronal Networks (DCNNs) are showing remarkable performance on many computer vision tasks.
