24 citations · 33 across the 10 of their papers we have counts for
10 papers
Anomaly Detection for Sparse and Irregular Multivariate Time Series with Latent SDEs
Martin Uray, Dominik Geng, Florian Graf +2
Multivariate time series anomaly detection (MTSAD) is critical for a wide range of application areas, such as industrial monitoring, cybersecurity, or healthcare. Real-world data i…
Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation
Khayyam Nosrati, Martin Uray, Saverio Messineo +2
Federated learning (FL) has broadened the horizon for multivariate time series anomaly detection (MTSAD). However, benchmarking such anomaly detection methods within FL paradigm po…
The Flood Complex: Large-Scale Persistent Homology on Millions of Points
Florian Graf, Paolo Pellizzoni, Martin Uray +2
We consider the problem of computing persistent homology (PH) for large-scale Euclidean point cloud data, aimed at downstream machine learning tasks, where the exponential growth o…
Persistence-based Hough Transform for Line Detection
Johannes Ferner, Stefan Huber, Saverio Messineo +2
The Hough transform is a popular and classical technique in computer vision for the detection of lines (or more general objects). It maps a pixel into a dual space -- the Hough spa…
Neural Persistence Dynamics
Sebastian Zeng, Florian Graf, Martin Uray +2
We consider the problem of learning the dynamics in the topology of time-evolving point clouds, the prevalent spatiotemporal model for systems exhibiting collective behavior, such…
Topological Data Analysis in smart manufacturing: State of the art and futuredirections
Martin Uray, Barbara Giunti, Michael Kerber +1
Topological Data Analysis (TDA) is a discipline that applies algebraic topology techniques to analyze complex, multi-dimensional data. Although it is a relatively new field, TDA ha…
A Mini Review on the utilization of Reinforcement Learning with OPC UA
Simon Schindler, Martin Uray, Stefan Huber
Reinforcement Learning (RL) is a powerful machine learning paradigm that has been applied in various fields such as robotics, natural language processing and game playing achieving…
CSRX: A novel Crossover Operator for a Genetic Algorithm applied to the Traveling Salesperson Problem
Martin Uray, Stefan Wintersteller, Stefan Huber
In this paper, we revisit the application of Genetic Algorithm (GA) to the Traveling Salesperson Problem (TSP) and introduce a family of novel crossover operators that outperform t…
Beyond Desktop Computation: Challenges in Scaling a GPU Infrastructure
Martin Uray, Eduard Hirsch, Gerold Katzinger +1
Enterprises and labs performing computationally expensive data science applications sooner or later face the problem of scale but unconnected infrastructure. For this up-scaling pr…
Improvements for mlrose applied to the Traveling Salesperson Problem
Stefan Wintersteller, Martin Uray, Michael Lehenauer +1
In this paper we discuss the application of Artificial Intelligence (AI) to the exemplary industrial use case of the two-dimensional commissioning problem in a high-bay storage, wh…