开课单位--赫尔辛基大学
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Forest food web dynamics with special emphasis on soil biota / Dinamika gozdne prehranske mreže s poudarkom na življenjski združbi tal[森林食物网动态,特别强调土壤生物群]
Heikki Setälä(赫尔辛基大学) The dynamics of forests are commonly considered from the above-ground point of view, where plants, mostly trees, are believed to play a regulative rol...
热度:19
Heikki Setälä(赫尔辛基大学) The dynamics of forests are commonly considered from the above-ground point of view, where plants, mostly trees, are believed to play a regulative rol...
热度:19
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Theoretical analysis of Link Analysis Ranking[链接分析排名的理论分析]
Panayiotis Tsaparts(赫尔辛基大学) Theoretical analysis of Link Analysis Ranking
热度:17
Panayiotis Tsaparts(赫尔辛基大学) Theoretical analysis of Link Analysis Ranking
热度:17
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Fair and Representative Subset Selection from Data Streams[从数据流中选择公平且具有代表性的子集]
Yanhao Wang(赫尔辛基大学) Fair and Representative Subset Selection from Data Streams
热度:28
Yanhao Wang(赫尔辛基大学) Fair and Representative Subset Selection from Data Streams
热度:28
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Unbiased Loss Functions for Extreme Scale Classification With Missing Labels[具有缺失标签的极端尺度分类的无偏损失函数]
Mohammadreza Mohammadnia Qararei(赫尔辛基大学) Unbiased Loss Functions for Extreme Scale Classification With Missing Labels
热度:36
Mohammadreza Mohammadnia Qararei(赫尔辛基大学) Unbiased Loss Functions for Extreme Scale Classification With Missing Labels
热度:36
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Collaborative Filtering with Preferences Inferred from Brain Signals[基于大脑信号的偏好协同过滤]
Keith Davis(赫尔辛基大学) Collaborative Filtering with Preferences Inferred from Brain Signals
热度:35
Keith Davis(赫尔辛基大学) Collaborative Filtering with Preferences Inferred from Brain Signals
热度:35
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Metabolite identification and molecular fingerprint prediction via machine learning[通过机器学习进行代谢物鉴定和分子指纹预测]
Markus Heinonen(赫尔辛基大学) **Motivation:** Metabolite identification from tandem mass spectra is an important problem in metabolomics, underpinning subsequent metabolic modellin...
热度:62
Markus Heinonen(赫尔辛基大学) **Motivation:** Metabolite identification from tandem mass spectra is an important problem in metabolomics, underpinning subsequent metabolic modellin...
热度:62
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Progressive myoclonus epilepsies – on the way to precision medicine?[进行性肌阵挛性癫痫——走向精确医学?]
Anna-Elina Lehesjoki(赫尔辛基大学) During the past two decades, significant progress has been made in understanding the molecular genetic basis of human genetic diseases, the current ne...
热度:48
Anna-Elina Lehesjoki(赫尔辛基大学) During the past two decades, significant progress has been made in understanding the molecular genetic basis of human genetic diseases, the current ne...
热度:48
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Separating Sources and Analysing Connectivity in EEG/MEG Using Probabilistic Models[基于概率模型的EEG/MEG信号源分离与连通性分析]
Aapo Hyvärinen(赫尔辛基大学) Currently, there is increasing interest in analysing brain activity in resting state, or under relatively natural conditions such as while watching a ...
热度:37
Aapo Hyvärinen(赫尔辛基大学) Currently, there is increasing interest in analysing brain activity in resting state, or under relatively natural conditions such as while watching a ...
热度:37
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The Officer Is Taller Than You, Who Race Yourself! Using Document Specific Word Associations in Poetry Generation[军官比你高,你自己比赛!在诗歌生成中使用文档特定的词关联]
Jukka M. Toivanen(赫尔辛基大学) We propose a method for automatic poetry composition with a given document as inspiration. The poems generated are not limited to the topic of the doc...
热度:38
Jukka M. Toivanen(赫尔辛基大学) We propose a method for automatic poetry composition with a given document as inspiration. The poems generated are not limited to the topic of the doc...
热度:38
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From Isolation to Involvement: Adapting Machine Creativity Software to Support Human-Computer Co-Creation[从孤立到参与:调整机器创意软件以支持人机协同创作]
Anna Kantosalo(赫尔辛基大学) This paper investigates how to transform machine creativity systems into interactive tools that support human-computer co-creation. We use three case ...
热度:46
Anna Kantosalo(赫尔辛基大学) This paper investigates how to transform machine creativity systems into interactive tools that support human-computer co-creation. We use three case ...
热度:46