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ORCID6th SDS 2019: Bern, Switzerland
- 6th Swiss Conference on Data Science, SDS 2019, Bern, Switzerland, June 14, 2019. IEEE 2019, ISBN 978-1-7281-3105-4
- Christian Hauser, Urs Dahinden
, Vincenzo Francolino, Ives Ziegler:
Big Data Framing About Media Coverage in Switzerland and the USA. 1-5 - Michele Loi, Christoph Heitz, Andrea Ferrario, Anita Schmid, Markus Christen:
Towards an Ethical Code for Data-Based Business. 6-12 - Michele Alberti, Vinaychandran Pondenkandath, Lars Vögtlin, Marcel Würsch, Rolf Ingold, Marcus Liwicki:
Improving Reproducible Deep Learning Workflows with DeepDIVA. 13-18 - Gil Clavien, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
DNNViz: Training Evolution Visualization for Deep Neural Network. 19-24 - Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki:
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass. 25-30 - Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, Thilo Stadelmann:
Automated Machine Learning in Practice: State of the Art and Recent Results. 31-36 - Vadym Mozgovoy:
Stress Pattern Recognition Through Wearable Biosensors in the Workplace: Experimental Longitudinal Study on the Role of Motion Intensity. 37-45 - Asad Mansoor Khan, Muhammad Usman Akram, Sajid Gul Khawaja, Ali Saeed Khan:
A Machine Learning Technique to Classify LSST Observed Astronomical Objects Based on Photometric Data. 46-50 - Alperen Bektas, René Schumann:
How to Optimize Gower Distance Weights for the k-Medoids Clustering Algorithm to Obtain Mobility Profiles of the Swiss Population. 51-56 - Athanasios Giannakopoulos, Maxime Coriou, Andreea Hossmann, Michael Baeriswyl, Claudiu Musat:
Resilient Combination of Complementary CNN and RNN Features for Text Classification through Attention and Ensembling. 57-62 - Alisa Smirnova, Julien Audiffren, Philippe Cudré-Mauroux:
APCNN: Tackling Class Imbalance in Relation Extraction through Aggregated Piecewise Convolutional Neural Networks. 63-68 - Andreas Weiler, Harry Schilling, Lukas Kircher, Michael Grossniklaus:
Towards Reproducible Research of Event Detection Techniques for Twitter. 69-74 - Simone E. Griesser, Neha Gupta:
Triangulated Sentiment Analysis of Tweets for Social CRM. 75-79 - Ellery Smith, Martin Braschler, Andreas Weiler, Thomas Haberthuer:
Syntax-Based Skill Extractor for Job Advertisements. 80-81 - Francesco Carrino, Ales Janka, Omar Abou Khaled, Elena Mugellini:
LoRaLoc: Machine Learning-Based Fingerprinting for Outdoor Geolocation using LoRa. 82-86 - Jérémy Charlier, Radu State, Jean Hilger:
PHom-GeM: Persistent Homology for Generative Models. 87-92 - Prateek Purwar, Savvas Rogotis, Fotis Chatzipapadopoulus, Iason Kastanis:
A Reliable Approach for Pixel-Level Classification of Land usage from Spatio-Temporal Images. 93-94 - Engin Türetken, Jérôme Van Zaen, Ricard Delgado-Gonzalo:
Embedded Deep Learning for Sleep Staging. 95-96 - Ursin Brunner, Kurt Stockinger:
Entity Matching on Unstructured Data: An Active Learning Approach. 97-102 - Jérôme Treboux, Dominique Genoud:
High Precision Agriculture: An Application Of Improved Machine-Learning Algorithms. 103-108 - Lucien Aymon, Jean Decaix, Francesco Carrino, Pierre-André Mudry, Elena Mugellini, Omar Abou Khaled, Richard Baltensperger:
Leak Detection using Random Forest and Pressure Simulation. 109-110 - Martin Frey, Elvis Murina, Janick Rohrbach, Manuel Walser, Patrick Haas, Marcel Dettling:
Machine Learning for Position Detection in Football. 111-112 - Marlon Velthorst, Çiçek Güven:
Predicting Housing Market Trends Using Twitter Data. 113-118 - Simon Ruffieux, Elena Mugellini, Omar Abou Khaled:
Predictive Modeling for Optimization of Field Operations in Bike-Sharing Systems. 119-124 - Pranjal Sharma, Ujjwal K. Gupta, Markand P. Oza, Shashikant Sharma:
Reception - A Deep Learning Based Hybrid Residual Network. 125-129 - Nusaybah Alghanmi, Reem Alotaibi, Seyed M. Buhari:
TCMD: A Two-Tier Classification Model for Anomaly-Based Detection in IoT. 130-135 - Leandro von Werra, Lewis Tunstall, Simon Hofer:
Unsupervised Anomaly Detection for Seasonal Time Series. 136-137
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