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Improving our understanding of machine learning robustness - in microscopy and beyond A central goal when applying machine learning in the biomedical research and medical imaging is to answer relevant interdisciplinary questions robustly and reliably across various setups and ideally modalities; however, this is challenged by different imaging systems, differences between a laboratory setting and […] |
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Muon Hunting with the Crowd: Combining Humans and Machines to Solve Big Data Problems In this presentation, I will describe the Zooniverse.org citizen science platform as a tool to gather labels from over 2.7 million dedicated volunteers worldwide who are motivated to participate in scientific research. Hundreds of research teams now turn to Zooniverse for […] |
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