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Seminar: Explainable AI for Data Science W22/23
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Description

Seminar Explainable AI for Data Science

Information about the course

cf. here

Presenter-paper matching:

  • Asude Konuk: NeuralHydrology - Interpreting LSTMs in Hydrology
  • Linus Buddrus: Interpretable Deep Learning in Drug Discovery
  • Jakob Knitter: Interpretable deep learning in drug discovery
  • Doruntina Murtezaj: Explainable machine learning for scientific insights and discoveries
  • Wenli Xu: Explainable machine learning for scientific insights and discoveries
  • Weihang Li: Obtaining genetics insights from deep learning via explainable artificial intelligence
  • Rui Zhao: Obtaining genetics insights from deep learning via explainable artificial intelligence

Presentation day (Friday 3 February)

2pm-4pm in room: T9/SR 006 Seminarraum (Takustr. 9)

  • 14:00-14:25: Wenli Xu: Explainable ML for scientific insights and discoveries
  • 14:25-14:50: Asude Konuk: NeuralHydrology - Interpreting LSTMs in Hydrology
  • 14:50-15:15: Linus Buddrus: Interpretable Deep Learning in Drug Discovery
  • 15:15-15:40: Weihang Li: Obtaining genetics insights from deep learning via XAI

4pm-6pm in room: T9/055 Seminarraum (Takustr. 9)

  • 16:00-16:25: Doruntina Murtezaj: Explainable ML for scientific insights and discoveries
  • 16:25-16:50: Jakob Knitter: Interpretable deep learning in drug discovery
  • 16:50-17:15: Rui Zhao: Obtaining genetics insights from deep learning via XAI
  • 17:15-17:40: Wenli Xu: Artificial intelligence in critical care medicine

 

 
Basic Course Info
Course No Course Type Hours
19333411 Seminar 2
Time Span 21.10.2022 - 17.02.2023
Instructors
Grégoire Montavon
Study Regulation
0086c_k150 2014, BSc Informatik (Mono), 150 LPs
0086d_k135 2014, BSc Informatik (Mono), 135 LPs
0087d_k90 2015, BSc Informatik (Kombi), 90 LPs
0088d_m60 2015, MSc Informatik (Kombi), 60 LPs
0089c_MA120 2014, MSc Informatik (Mono), 120 LPs
0207b_m37 2015, MSc Informatik (Lehramt), 37 LPs
0208b_m42 2015, MSc Informatik (Lehramt), 42 LPs
0458a_m37 2015, MSc Informatik (Lehramt), 37 LPs
0471a_m42 2015, MSc Informatik (Lehramt), 42 LPs
0556a_m37 2018, M-Ed Fach 1 Informatik (Lehramt an Integrierten Sekundarschulen und Gymnasien), 37 LPs
0557a_m42 2018, M-Ed Fach 2 Informatik (Lehramt an Integrierten Sekundarschulen und Gymnasien), 42 LPs

Seminar: Explainable AI for Data Science W22/23
to Whiteboard Site

Main Events
Day Time Location Details
Friday 14-16 A3/Hs 001 Hörsaal 2022-10-21 - 2023-02-17

Seminar: Explainable AI for Data Science W22/23
to Whiteboard Site

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Seminar: Explainable AI for Data Science W22/23
to Whiteboard Site

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