基本信息
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职业迁徙
个人简介
My scientific and technical focus is in four key areas: applications of machine learning (ML); improving and promoting explainability of ML; producing systems (ML or others) that are easy to use, and investigation and application of novel teaching methods in SW engineering education. My focus and contributions are based on combination of applied ML with strong emphasis on the user needs (thus “explainable ML and easy to use systems) and on my industry experience (both in R&D and in SW product management). My specific goals are several: a) develop and promote ML systems and solutions that are accurate, solve real problems especially in health sciences, are easy to use by non-experts, b) develop and promote ML systems that are not only accurate but also explainable, ethical and free of bias; c) educate students in modern SW engineering and improve assessment of SW engineering education using ML; d) contribute and promote ease of use in scientific SW.
研究兴趣
论文共 29 篇作者统计合作学者相似作者
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AAAI Spring Symposiapp.61-62, (2023)
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arxiv(2022)
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biorxiv(2019)
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D-Core
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