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ORCID9th SDS 2022: Lucerne, Switzerland
- 9th Swiss Conference on Data Science, SDS 2022, Lucerne, Switzerland, June 22-23, 2022. IEEE 2022, ISBN 978-1-6654-6847-3
- Simon Narduzzi
, Engin Türetken, Jean-Philippe Thiran, L. Andrea Dunbar:
Adaptation of MobileNetV2 for Face Detection on Ultra-Low Power Platform. 1-6 - Shaya Wolf, Rita Foster, Andrea Mack, Zachary Priest, Jed Haile:
Data Collection and Exploratory Analysis for Cyber Threat Intelligence Machine Learning Processes. 7-12 - Simone E. Griesser, Guang Lu:
Exploring owner-based brand personality on Facebook and LinkedIn with Natural-Language-Processing (NLP). 13-18 - Joachim Baumann, Christoph Heitz:
Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation. 19-25 - Faqeer ur Rehman, Clemente Izurieta:
MT4UML: Metamorphic Testing for Unsupervised Machine Learning. 26-32 - Jürg Meierhofer, Rodolfo Benedech, Christoph Heitz:
On the Value of Data: Multi-Objective Maximization of Value Creation in Data-Driven Industrial Services. 33-39 - Markus Ulmer, Jannik Zgraggen, Gianmarco Pizza, Lilach Goren Huber:
Scaling Up Deep Learning Based Predictive Maintenance for Commercial Machine Fleets: a Case Study. 40-46 - Md Delwar Hossain, Hideya Ochiai, Tatsuya Arisawa, Youki Kadobayashi:
Smart Meter Modbus RS-485 Spoofing Attack Detection by LSTM Deep Learning Approach. 47-52 - Sofia Casarin, Sara Baldoni, Marco Carli, Pietro Zanuttigh, Federica Battisti:
Unsupervised Network Anomaly Detection by Learning on 2D Data Representations. 53-58 - Firat Saritas, Simon Staehli, Lorenz Ammann, Dieter Rickenmann, Rocco Custer, Susanne Suter:
Using Acoustic Signal to Predict Grain Size of Bedload Particles. 59-64 - Fabian Gröger, Marc Pouly, Flavia Tinner, Leif Brandes:
Assessing Guest Nationality Composition from Hotel Reviews. 65-66 - Andrin Bürli, Marc Bravin, Melissa Beck, Thomas Koller:
Minimal Hand Pose Estimation for Touchable Projector-Depth Systems. 67-68 - Josef Spillner:
Tabular Data Insights and Synthesis with the AutoTable Approach. 69-70 - Mario Wieser, Daniel Siegismund, Stephan Heyse, Stephan Steigele:
Vision Transformers Show Improved Robustness in High-Content Image Analysis. 71-72
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