Dirk Hölscher

Dirk Hölscher
Furtwangen University / University of Plymouth

Master of Science

About

8
Publications
1,153
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13
Citations

Publications

Publications (8)
Article
Full-text available
Montenegro restored its national independence in 2006, and in the 17 years since then, the country has made significant progress in digital transformation, which is especially important for its accession to the European Union. In this paper, this period of 17 years of Montenegrin digital transformation is reviewed. The work aims to provide comprehe...
Chapter
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Generative models and their possible applications are almost limitless. But there are still problems that such models have. On one hand, the models are difficult to train. Stability in training, mode collapse or non convergence, together with the huge parameter space make it extremely costly and difficult to train and optimize generative models. Th...
Conference Paper
Full-text available
Hyperparameter tuning is an important aspect in machine-learning especially for deep generative models. Tuning models to stabilize training and to get the best accuracy can be a time consuming and protracted process. Generative models have a large search space requiring resources and knowledge to find the best parameters. Therefore, in most cases t...
Conference Paper
Full-text available
Abstract—Generative Adversarial Networks (GANs) are part of the deep generative model family and able to generate synthetic samples based on the underlying distribution of real-world data. With expanding interest new discoveries and recent advances are hard to follow. Recent advancements to stabilize training, will help GANs to open up new domains...
Article
Full-text available
Image augmentation has become an important part of the data preprocessing pipeline, helping to acquire more samples by altering existing samples by cutting, shifting, etc.. For some domains, augmenting existing images is not sufficient, due to missing samples in the domains (e.g., faulty work pieces or events that occur infrequently). In such a cas...
Conference Paper
Full-text available
Big data is a new economic driver for many advanced technology domains, such as autonomous driving, reusable rockets or cancer research. Generating knowledge from large amounts of data in such domains, will become increasingly important. Management and processing is done in powerful big data infras-tructures located in the cloud. Diversifying requi...

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