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个人简介
My primary research includes the characterization, design, and evaluation of visual-interactive interfaces to combine the strengths of both humans and algorithms in interactive machine learning and data science applications. My data-centered focus is on time series data as well as multivariate data. My technique-driven focus ranges from unsupervised to supervised machine learning including cluster analysis, dimensionality reduction, active learning, regression analysis, and classification. From a task perspective most of my work supports exploratory data analysis, i.e., sense-making, decision-making, and hypotheses-building for undiscovered data. Important application domains so far include climate and Earth observation, digital libraries, human motion analysis, service and energy network analysis, political decision-making, music classification, sports data analysis, stock chart analysis, as well as medical and patient-related research in particular.
研究兴趣
论文共 105 篇作者统计合作学者相似作者
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Computers & Graphics (2023): 45-58
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IEEE Transactions on Visualization and Computer Graphicsno. 8 (2023): 3441-3457
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Computers & Graphics (2023): 4-5
Computers & Graphics (2023): 81-95
2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)pp.66-76, (2022)
arxiv(2022)
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