开课单位--Jožef Stefan研究所人工智能实验室
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Observers and IPR issues (copyright)[观察员和知识产权问题(版权)]
  Simon Krek(Jožef Stefan研究所人工智能实验室) Observers and IPR issues (copyright)
热度:14

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Role of observers[观察员的作用]
  Simon Krek(Jožef Stefan研究所人工智能实验室) Role of observers
热度:26

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Text Mining Applications for Industry[面向行业的文本挖掘应用]
  Dunia Mladenić(Jožef Stefan研究所人工智能实验室) Artificial Intelligence, machine learning and text mining technologies are gradually changing our working environments. Science recently published a p...
热度:22

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Solvesall d.o.o.[Solvesall 公司]
  Luka Stopar(Jožef Stefan研究所人工智能实验室) Hardware and Software solutions with integrated AI capabilities with focus on Mobility and IoT. Currently our products are: integrated software and ha...
热度:18

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Local-to-global analysis of influenza-like-illness data[流感样疾病数据的地方到全球分析]
  João Pita Costa(Jožef Stefan研究所人工智能实验室) The need for appropriate, robust and efficient epidemic intelligence tools is increasing in this age of a connected society. Global health initiatives...
热度:29

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The Next Big Thing In Science[科学的下一件大事]
  Adrian Mladenic Grobelnik(Jožef Stefan研究所人工智能实验室) This paper presents an approach to predicting the future development of scientific research based on scientific publications from the past two centuri...
热度:20

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Health News Bias and its impact in Public Health[健康新闻偏见及其对公共卫生的影响]
  João Pita Costa(Jožef Stefan研究所人工智能实验室) The impact of health-related news in today’s society is increasing as is the awareness of the globalization of the worlds’ habits and thre...
热度:26

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Deep Language Classification for Relabeling of Financial News and its application in Stock Price Forecasting[金融新闻重贴标签的深层语言分类及其在股价预测中的应用]
  Miha Torkar(Jožef Stefan研究所人工智能实验室) This paper aims at assessing the performance of the transfer learning task consisting of training set of classiffiers on high frequency financial news...
热度:30

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Latent distance graphs from news data[新闻数据的潜在距离图]
  Luka Bizjak(Jožef Stefan研究所人工智能实验室) Network analysis is one of the main topics in modern data analysis, since it enables us to reason about systems by studying their inner relations, for...
热度:27

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Feature Selection in Land-Cover Classification using EO-learn[基于EO学习的土地覆盖分类特征选择]
  Klemen Kenda(Jožef Stefan研究所人工智能实验室) Applying machine learning to Big Data can be a cumbersome task which requires a lot of computational power and memory. In this paper we present a feat...
热度:21
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