Background Brain cancer is a destructive and life-threatening disease that imposes
immense negative effects on patients' lives. Therefore, the detection of brain tumors at an …

Anomaly detection, aka outlier detection or novelty detection, has been a lasting yet active
research area in various research communities for several decades. There are still some …

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on
how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered …

Abstract Contrastive Language-Image Pre-training, benefiting from large-scale unlabeled
text-image pairs, has demonstrated great performance in open-world vision understanding …

Clustering is a fundamental machine learning task, which aim at assigning instances into
groups so that similar samples belong to the same cluster while dissimilar samples belong …

Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …

With recent developments, the performance of automotive radar has improved significantly.
The next generation of 4D radar can achieve imaging capability in the form of high …

Since their introduction in 2012, Local Climate Zones (LCZs) emerged as a new standard for
characterizing urban landscapes, providing a holistic classification approach that takes into …

This paper presents RTLFixer, a novel framework enabling automatic syntax errors fixing for
Verilog code with Large Language Models (LLMs). Despite LLM's promising capabilities …

This work presents OVIR-3D, a straightforward yet effective method for open-vocabulary 3D
object instance retrieval without using any 3D data for training. Given a language query, the …