Kevin Mallinger

According to our database, Kevin Mallinger authored at least 7 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Scaling Exponents of Time Series Data: A Machine Learning Approach.

Sebastian Raubitzek, Luiza Corpaci, Rebecca Hofer, Kevin Mallinger

Entropy, December, 2023

Unsupervised and supervised machine learning approach to assess user readiness levels for precision livestock farming technology adoption in the pig and poultry industries.

Kevin Mallinger, Luiza Corpaci, Thomas Neubauer, Ildikó E. Tikász, Thomas M. Banhazi

Comput. Electron. Agric., October, 2023

On the Applicability of Quantum Machine Learning.

Sebastian Raubitzek, Kevin Mallinger

Entropy, July, 2023

Combining Fractional Derivatives and Machine Learning: A Review.

Sebastian Raubitzek, Kevin Mallinger, Thomas Neubauer

Entropy, January, 2023

Quantum Clustering on Streaming Data: A Novel Method for Analyzing Big Data.

Rebecca Hofer, Kevin Mallinger

Proceedings of the 8th International Conference on Internet of Things, 2023

Modeling Obfuscation Stealth Through Code Complexity.

Sebastian Schrittwieser, Elisabeth Wimmer, Kevin Mallinger, Patrick Kochberger, Caroline Lawitschka, Sebastian Raubitzek, Edgar R. Weippl

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

2022

Root Cause Analysis of Software Aging in Critical Information Infrastructure.

Philip König, Fabian Obermann, Kevin Mallinger, Alexander Schatten

Proceedings of the Critical Information Infrastructures Security, 2022