ML4SEP 2019


October 3-4, 2019 @ University of Zurich, Switzerland

Workshop Agenda

Day 1: Thursday, October 3rd, 2019 @ Y25-H-79, University of Zurich - Irchel campus


12:00 - 13:30 Lunch & Coffee

13:30 - 17:00 Tutorial Workshop on SpaceGAN (3 hours) (Chair: Nico Neureiter)

            • Tutorial on SpaceGAN, a Generative Model for Geospatial Domains (https://arxiv.org/abs/1905.09796)
            • Lecturers:
              • 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

              • Q&A poll: https://pigeonhole.at/TKR4MY
              • Chair: Dr. Lindsey Conrow
              • Panelists:
                • Dr. Abraham Bernstein (Professor, Department of Informatics, University of Zurich, Switzerland)
                • Dr. Rebekah Overdorf (Research Scientist, EPFL, Switzerland)
                • Dr. Robert Weibel (Professor, Department of Geography, University of Zurich, Switzerland)
                • Dr. Damian Borth (Professor of Artificial Intelligence & Machine Learning, the University of St. Gallen, Switzerland)
                • Dr. Marcello Ienca (Research Fellow, Health Ethics & Policy Lab, Department of Health Sciences & Technology, ETH Zurich, Switzerland)

16:00 - 16:10 Closing Remarks

16:30 - 18:30 Networking Apéro (@ Y13-M-Foyer Aquarium, University of Zurich - Irchel campus)