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--- sedami:start [2021/08/11 21:24] – schedule gjn
+++ sedami:start [2021/08/20 14:57] – [Schedule] 3 papers gjn
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 **10:15-11:45** Session 1 - Foundations (Chair: Szymon Bobek)\\
-:15-10:45 Victor Guimarães and Vítor Costa: Meta-Interpretive Learning meets Neural Networks\\
+:15-10:45 Victor Guimarães and Vítor Costa: {{:sedami:sedami2021-victorguimaraes.pdf|Meta-Interpretive Learning meets Neural Networks}}\\
-:45-11:15 Blaž Škrlj and Nada Lavrač: Towards Explainable Relational Boosting via Propositionalization\\
+:45-11:15 Blaž Škrlj and Nada Lavrač: {{:sedami:sedami2021-blazskrlj.pdf|Towards Explainable Relational Boosting via Propositionalization}}\\
 :15-11:45 Dietmar Seipel and Martin Atzmueller: Declarative Knowledge Discovery in Databases via Meta-Learning - Towards Advanced Analytics
@@ Line 37: / Line 37: @@
 **12:00-13:00** Session 2 - Modeling & Application (Chair: Nada Lavrac)\\
-:00-12:30 Shaobo Wang, Guangliang Liu, Wenyan Zhu, Zengtao Jiao, Haichen Lv, Jun Yan and Yunlong Xia: Interpretable Knowledge Mining for Heart Failure Prognosis Risk Evaluation\\
+:00-12:30 Shaobo Wang, Guangliang Liu, Wenyan Zhu, Zengtao Jiao, Haichen Lv, Jun Yan and Yunlong Xia: {{:sedami:sedami2021-shaobowang.pdf|Interpretable Knowledge Mining for Heart Failure Prognosis Risk Evaluation}}\\
 :30-13:00 Dan Hudson, Leonid Schwenke, Stefan Bloemheuvel, Arnab Ghosh Chowdhury, Nils Schut and Martin Atzmueller: Knowledge-Augmented Induction of Complex Networks on Supply-Demand-Material Data