Martin Uray

Fachhochschule Salzburg · MSc Program in Information Technology and Systems Management

Enterprises and labs performing computationally expensive data science applications sooner or later face the problem of scale but unconnected infrastructure. For this upscaling process, an IT service provider can be hired or in-house personnel can attempt to implement a software stack. The first option can be quite expensive if it is just about con...

Enterprises and labs performing computationally expensive data science applications sooner or later face the problem of scale but unconnected infrastructure. For this up-scaling process, an IT service provider can be hired or in-house personnel can attempt to implement a software stack. The first option can be quite expensive if it is just about co...

In this paper we discuss the application of AI and ML to the exemplary industrial use case of the two-dimensional commissioning problem in a high-bay storage, which essentially can be phrased as an instance of Traveling Salesperson Problem (TSP). We investigate the mlrose library that provides an TSP optimizer based on various heuristic optimizatio...

The primary cone-beam computed tomography (CBCT) imaging beam scatters inside the patient and produces a contaminating photon fluence that is registered by the detector. Scattered photons cause artifacts in the image reconstruction, and are partially responsible for the inferior image quality compared to diagnostic fan-beam CT. In this work, a deep...

The application of neural networks has gotten more attention over the past few years. This trend affected research on contradiction detection, where the goal is to predict whether the information contained in a premise and hypothesis entail or contradict each other. The most novel and best performing approaches rely on neural networks. In this work...

The application of neural networks has gotten more attention over the past few years. This trend affected research on contradiction detection, where the goal is to predict whether the information contained in a premise and hypothesis entail or contradict each other. The most novel and best performing approaches rely on neural networks. In this work...