开课单位--约瑟夫·斯特凡学院
1
2
3
4
5
6
7
8
9
10
1Text Mining and Light Weight Semantics[文本挖掘与轻量语义]
Marko Grobelnik(约瑟夫·斯特凡学院) Text Mining and Light Weight Semantics
热度:83
Marko Grobelnik(约瑟夫·斯特凡学院) Text Mining and Light Weight Semantics
热度:83
2Business Process Mining and Formalization[业务流程挖掘和正式化]
Marko Grobelnik(约瑟夫·斯特凡学院) Part 1. Context Computing. Context is used as a term for packaging information for a particular need. A criterion for selecting or prioritization info...
热度:97
Marko Grobelnik(约瑟夫·斯特凡学院) Part 1. Context Computing. Context is used as a term for packaging information for a particular need. A criterion for selecting or prioritization info...
热度:97
3Introduction to FP7 XLike project[对xlike FP7项目介绍]
Marko Grobelnik(约瑟夫·斯特凡学院) The goal of the project is to develop technology to monitor and aggregate knowledge that is currently spread across mainstream and so...
热度:70
Marko Grobelnik(约瑟夫·斯特凡学院) The goal of the project is to develop technology to monitor and aggregate knowledge that is currently spread across mainstream and so...
热度:70
4Group Decision Making and Leveraging of Interests[集体决策和利益杠杆]
Vladislav Rajkovič(约瑟夫·斯特凡学院) The paper discusses group decision making as a way of managing decision knowledge. Described are pros and cons of group decision making. Special empha...
热度:66
Vladislav Rajkovič(约瑟夫·斯特凡学院) The paper discusses group decision making as a way of managing decision knowledge. Described are pros and cons of group decision making. Special empha...
热度:66
5Business Process Mining and Formalization[业务流程挖掘与形式化]
Marko Grobelnik(约瑟夫·斯特凡学院) Context Computing. Context is used as a term for packaging information for a particular need. A criterion for selecting or prioritization information ...
热度:95
Marko Grobelnik(约瑟夫·斯特凡学院) Context Computing. Context is used as a term for packaging information for a particular need. A criterion for selecting or prioritization information ...
热度:95
6Na lovu za anomalijami v fiziki delcev[在粒子物理学中寻找异常]
Peter Križan(约瑟夫·斯特凡学院) Na lovu za anomalijami v fiziki delcev
热度:113
Peter Križan(约瑟夫·斯特凡学院) Na lovu za anomalijami v fiziki delcev
热度:113
7Fulereni: superprevodnost, magnetizem in qubiti[富勒烯:超导性、磁性和量子比特]
Denis Arčon(约瑟夫·斯特凡学院) Fulereni: superprevodnost, magnetizem in qubiti
热度:57
Denis Arčon(约瑟夫·斯特凡学院) Fulereni: superprevodnost, magnetizem in qubiti
热度:57
8Meritve kozmičnih delcev ekstremnih energij na Observatoriju Pierre Auger[皮埃尔奥格天文台对极端能量宇宙粒子的测量]
Marko Zavrtanik;Andrej Filipčič(约瑟夫·斯特凡学院) Meritve kozmičnih delcev ekstremnih energij na Observatoriju Pierre Auger
热度:85
Marko Zavrtanik;Andrej Filipčič(约瑟夫·斯特凡学院) Meritve kozmičnih delcev ekstremnih energij na Observatoriju Pierre Auger
热度:85
9Groundwater Modeling with Machine Learning Techniques: Ljubljana Polje Aquifer[使用机器学习技术进行地下水建模:卢布尔雅那波列含水层]
Klemen Kenda(约瑟夫·斯特凡学院) Groundwater Modeling with Machine Learning Techniques: Ljubljana Polje Aquifer
热度:74
Klemen Kenda(约瑟夫·斯特凡学院) Groundwater Modeling with Machine Learning Techniques: Ljubljana Polje Aquifer
热度:74
10Smart Water Management for Cities[城市智能水管理]
Matej Senožetnik(约瑟夫·斯特凡学院) Smart Water Management for Cities
热度:95
Matej Senožetnik(约瑟夫·斯特凡学院) Smart Water Management for Cities
热度:95