125 citations
- Technische Universität DresdenDE16 papers
- New York UniversityUS4 papers
- BMW Group (Germany)DE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- CY Cergy Paris UniversitéFR2 papers
- Deutsche Telekom (Germany)DE2 papers
- École Nationale Supérieure de l'Électronique et de ses ApplicationsFR2 papers
- Equipes Traitement de l'Information et SystèmesFR2 papers
- Ericsson (Germany)DE2 papers
- Fraunhofer Institute for Telecommunications, Heinrich Hertz InstituteDE2 papers
- University of Koblenz and LandauDE2 papers
- University of Notre DameUS2 papers
20 papers
A Machine Learning Approach For Bitcoin Forecasting
Stefano Sossi-Rojas, Gissel Velarde, Damian Zieba
Bitcoin is one of the cryptocurrencies that is gaining more popularity in recent years. Previous studies have shown that closing price alone is not enough to forecast stock market…
Tree Boosting Methods for Balanced andImbalanced Classification and their Robustness Over Time in Risk Assessment
Gissel Velarde, Michael Weichert, Anuj Deshmunkh +4
Most real-world classification problems deal with imbalanced datasets, posing a challenge for Artificial Intelligence (AI), i.e., machine learning algorithms, because the minority…
Comparing Iterative and Least-Squares Based Phase Noise Tracking in Receivers with 1-bit Quantization and Oversampling
Florian Gast, Stephan Zeitz, Meik Dörpinghaus +1
High data rates require vast bandwidths, that can be found in the sub-THz band, and high sampling frequencies, which are predicted to lead to a problematically high analog-to-digit…
Experimental Performance of Blind Position Estimation Using Deep Learning
Ivo Bizon, Zhongju Li, Ahmad Nimr +2
Accurate indoor positioning for wireless communication systems represents an important step towards enhanced reliability and security, which are crucial aspects for realizing Indus…
Blind Transmitter Localization Using Deep Learning: A Scalability Study
Ivo Bizon, Ahmad Nimr, Philipp Schulz +2
This work presents an investigation on the scalability of a deep leaning (DL)-based blind transmitter positioning system for addressing the multi transmitter localization (MLT) pro…
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches
Alexandros Palaios, Christian L. Vielhaus, Daniel F. Külzer +11
As cellular networks evolve towards the 6th generation, machine learning is seen as a key enabling technology to improve the capabilities of the network. Machine learning provides…