开课单位--赫尔辛基大学
1234>>> 1/4

1
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：28

2
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：21

3
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：47

4
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：41

5
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：37

6
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：75

7
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：51

8
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：47

9
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：42

10
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：49
1234>>> 1/4