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ORCID7th SDS 2020: Luzern, Switzerland
- 7th Swiss Conference on Data Science, SDS 2020, Luzern, Switzerland, June 26, 2020. IEEE 2020, ISBN 978-1-7281-7177-7
- Hendrik Wulf, Bernhard Sassik, Gillian Milani, Reik Leiterer:
High-resolution snow depth monitoring for entire mountain ranges. 1-4 - Myrna Flores, Matic Golob, Doroteja Maklin, Christopher L. Tucci
, Shaun West, Oliver Stoll:
DARE2HACK: Crowdsourcing ideas through hackathons to codesign new human-centric services. 5-10 - Guang Lu, Christian Dollfus, Thomas Wozniak, Matthes Fleck:
Intelligent Branding for Less Well-Known Enterprises by Matching Culture Values of Employers and Candidates. 11-16 - Evangelos Ntavelis, Iason Kastanis, Luc Van Gool, Radu Timofte:
Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks. 17-22 - Vadym Mozgovoy:
Exploration of Scenario-based Simulations for Stress Benchmarking in Swiss Public Service. 23-28 - Yasamin Eslahi, Akansha Bhardwaj, Paolo Rosso, Kurt Stockinger, Philippe Cudré-Mauroux:
Annotating Web Tables through Knowledge Bases: A Context-Based Approach. 29-34 - Nadja Kurz, Felix Hamann, Adrian Ulges:
Neural Entity Linking on Technical Service Tickets. 35-40 - Michele Loi, Christoph Heitz, Markus Christen:
A Comparative Assessment and Synthesis of Twenty Ethics Codes on AI and Big Data. 41-46 - Lars Vögtlin, Vinaychandran Pondenkandath, Rolf Ingold:
Cobra: A CLI Tool To Create And Share Reproducible Projects. 47-48 - María Carolina Jiménez:
Assessing the democratic legitimacy of public decisions based on Machine Learning algorithms. 49-50 - Marc Bravin, Daniel Pfäffli, Sita Mazumder, Marc Pouly:
Automated Smartification of Notices to Airmen. 51-52 - Jürg Meierhofer, Shaun West:
Data-driven Decision Support by Digital Twins in Manufacturing. 53-54 - Lukas Schweiger, Linard Barth, Jürg Meierhofer:
Data Resources to Create Digital Twins. 55-56 - Linda Studer, Jannis Wallau, Rolf Ingold, Andreas Fischer:
Effects of Graph Pooling Layers on Classification with Graph Neural Networks. 57-58 - David Honzátko, Siavash Arjomand Bigdeli, Engin Türetken, L. Andrea Dunbar:
Efficient Blind-Spot Neural Network Architecture for Image Denoising. 59-60 - David Pelkmann, Alaa Tharwat, Wolfram Schenck:
How to Label? Combining Experts' Knowledge for German Text Classification. 61-62 - Dano Roost, Ralph Meier, Stephan Huschauer, Erik Nygren, Adrian Egli, Andreas Weiler, Thilo Stadelmann:
Improving Sample Efficiency and Multi-Agent Communication in RL-based Train Rescheduling. 63-64 - Daniel Siegismund, Stephan Heyse, Stephan Steigele:
Uncertainty with deep learning: a practical view on out of distribution detection. 65-66
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