12 citations · 21 across the 8 of their papers we have counts for
10 papers
ProcK: Machine Learning for Knowledge-Intensive Processes
Tobias Jacobs, Jingyi Yu, Julia Gastinger +1
We present a novel methodology to build powerful predictive process models. Our method, denoted ProcK (Process & Knowledge), relies not only on sequential input data in the form of…
ITS and Real Time Cross Border Logistic Operations Optimization
Laura Coconea, Miha Cimperman, Tobias Jacobs
Moving parcels from origin to destination should not require a lot of re-planning. However, the vast number of shipments and destinations, which need to be re-aligned in real-time…
The Combinatorial Multi-Bandit Problem and its Application to Energy Management
Tobias Jacobs, Mischa Schmidt, Sébastien Nicolas +1
We study a Combinatorial Multi-Bandit Problem motivated by applications in energy systems management. Given multiple probabilistic multi-arm bandits with unknown outcome distributi…
Large-Scale Cargo Distribution
Luka Stopar, Luka Bradesko, Tobias Jacobs +2
This study focuses on the design and development of methods for generating cargo distribution plans for large-scale logistics networks. It uses data from three large logistics oper…
A Study of the Learning Progress in Neural Architecture Search Techniques
Prabhant Singh, Tobias Jacobs, Sebastien Nicolas +1
In neural architecture search, the structure of the neural network to best model a given dataset is determined by an automated search process. Efficient Neural Architecture Search…
On the Performance of Differential Evolution for Hyperparameter Tuning
Mischa Schmidt, Shahd Safarani, Julia Gastinger +3
Automated hyperparameter tuning aspires to facilitate the application of machine learning for non-experts. In the literature, different optimization approaches are applied for that…