Hans Salomonsson
I am passionate about all aspects of machine learning and its dramatic implications for business strategy and society. I have during my career in industry and academia implemented, applied and improved many types of machine learning algorithms. I enjoy taking state of the art machine learning research and adapting it to solve particular research and business problems.
Showing 8 publications
VEDLIoT: Next generation accelerated AIoT systems and applications
VEDLIoT: Very Efficient Deep Learning in IoT
Bayesian optimization in ab initio nuclear physics
Data-driven algorithm for throughput bottleneck analysis of production systems
Word Sense Disambiguation using a Bidirectional LSTM
Machine Learning to predict a ship's fuel consumption in seaways
An algorithm for data-driven shifting bottleneck detection
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