Sebastian Flennerhag (DeepMind, University of Manchester, UK & The Alan Turing Institute, UK)
Adriano Koshiyama (Financial Computing Group, Department of Computer Science, University College London, UK & The Alan Turing Institute, UK)
13:30 - 15:00 Introduction to Deep Learning and Generative Adversarial Networks
Tutorial I: Classification problem
Tutorial II: Basics of GAN training
15:00 - 15:30 Coffee/Tea Break
15:30 - 17:00 Conditioning GANs and Spatially-conditioned GANs (SpaceGAN)
Tutorial III: Training a GAN to condition on class label
Tutorial IV: SpaceGAN
17:10 - 17:40 Seminar on Feature Selection (25 min) (Chair: Dr. Eun-Kyeong Kim)
Feature Selection and Data Dependencies Analysis: an Operative Tool for Geospatial Data, with a showcase of pyGRNN (General Regression Neural Networks)
Lecturer:
Dr. Federico Amato ('Geosciences and Knowledge Discovery in Data' Lab, the Institute of Earth Surface Dynamics, University of Lausanne, Switzerland)
18:00 - 20:00 Dinner
Day 2: Friday, October 4th, 2019 @ Y25-H-86, University of Zurich - Irchel campus
09:30 - 16:00 All-Day Poster Presentation
09:30 - 16:00 Dr. Meredith Schuman (Department of Geography, University of Zurich, Switzerland)
Remote Sensing of Ecological Genetics
09:30 - 16:00 Farzaneh Derakhshan Babaei (Visiting Student at Department of Geography, University of Zurich, Switzerland)
Soil Phosphorus Estimation Using Neural Network Method in the Kan River Basin, Tehran, Iran
09:30 - 10:15 Keynote Speech by Dr. Damian Borth, "AI for Social Good"
Chair: Nico Neureiter
10:15 - 10:25 Break
10:25 - 11:05 Session I: Advances in Applied ML Methods
Chair: Nico Neureiter
10:25 - 10:35 Sebastian Flennerhag (The Alan Turing Institute, UK)
Transferring Knowledge across Learning Processes
10:35 - 10:45 Adriano Koshiyama (The Alan Turing Institute, UK)
Algorithm Impact Assessment: Fairness, Robustness and Explainability in Automated Decision-Making
10:45 - 11:05 Dr. Jürgen Hackl (Data Analytics Group, University of Zurich, Switzerland)
Artificial Urban Infrastructure Systems: Multi-Layer Spatially Embedded Random Network Model
11:05 - 11:20 Coffee/Tea Break
11:20 - 12:00 Session II: Applied ML for Trajectory Data
Chair: Dr. Eun-Kyeong Kim
11:20 - 11:40 Dr. Pengxiang Zhao (Mobility Information Engineering Lab, the Institute of Cartography and Geoinformation, ETH Zurich)
A Clustering-Based Framework for Understanding Individuals’ Travel Mode Choice Behavior
11:40 - 12:00 Henry Martin (Mobility Information Engineering Lab, the Institute of Cartography and Geoinformation, ETH Zurich)
Exploiting the Spatio-Temporal Structure within Human Mobility Behavior using Graph Neural Networks
12:00 - 13:15 Lunch & Coffee
13:15 - 14:00 Keynote Speech by Dr. Marcello Ienca "AI Ethics: From Guidelines to Ethical Design"
Chair: Dr. Eun-Kyeong Kim
14:00 - 14:05 Short Break
14:05 - 14:45 Session III: Applied ML for Health & AI and Trust
Chair: Dr. Lindsey Conrow
14:05 - 14:25 Dr. Rui Hu (Postdoctoral Researcher, IBM Research Zurich, Switzerland)
A Cognitive IoT Monitoring and Support System for Elderly Care
14:25 - 14:45 Dr. Rebekah Overdorf (Research Scientist, EPFL, Switzerland)
The Bad and the Ugly: Privacy, Bias, and More
14:45 - 15:00 Coffee/Tea Break
15:00 - 16:00 Panel Discussion Session: Promises and Pitfalls of Applied ML