This paper examines the use of Large Language Models (LLMs) for the intralingual translation of documents from standard German to German Easy Language (Leichte Sprache). We use open-weight models, from the Llama 3 family, with less than ten billion parameters.… Read More »LLMs for Easy Language Translation: A Case Study on German Public Authorities Web Pages
This paper presents a reinforcement learning approach for foreign exchange trading. Inspired by technical analysis methods, this approach makes use of technical indicators by encoding them into Gramian Angular Fields and searches for patterns that indicate price movements using convolutional… Read More »Scalp the Foreign Exchange Market with Deep Reinforcement Learning
Detecting erroneous or fraudulent business transactions and corre-sponding journal entries imposes a significant challenge for auditors during annualaudits. One possible solution to cope with these problems is the use of machinelearning methods, such as an autoencoder, to identify unusual journal… Read More »XAI in the Audit Domain – Explaining an Autoencoder Model for Anomaly Detection
This work introduces Multi-Fusion Network for human-object interaction detection with multiple cameras. We present a concept and implementation of the architecture for a beverage refrigerator with multiple cameras as proof-of-concept. We also introduce an effective approach for minimizing the required… Read More »Recognizing Human-Object Interaction in Multi-Camera Environments