LoRaLoc: Machine Learning-Based Fingerprinting for Outdoor Geolocation Using LoRa (Simon Ruffieux)

PHom-GeM: Persistent Homology for Generative Models (Jeremy Charlier)

Real-Time Learning and Prediction in (Un)structured Data (Christian Blakely)

Deep Learning for OCT: from Prototype to Production (Pascal kaiser, Sussane Suter)

Principles and Best Practices for Applied Machine Learning Models [in industry] (Mark Rowan)

Smart Document Classification at PostFinance’s Input Management (Dennis Furrer & Robert Gwadera)

Building a Data Culture with Veezoo (Marcos Monteiro)

Improving Manufacturing Plants Through Big Data Analytics (Martin Weber, Kurt Stockinger)

Machine Learning for Data Scientists Involving SAP Data Using Open Source Technologies (Andreas Forster)

Revenue Forecasting and Store Location Planning at Migros (Bojan Skerlak)

SmartProfile – Deep Learning for the Powder Coating Industry (Philipp Schmid)

Data Science Infrastructure (Philipp Thomann, Lukas Seger)

From Terapixels to Crop Yields (Charilaos Tsarouchas)

Overview of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass (Michele Alberti)

Automated Data Quality Assurance with Machine Learning and Autoencoders (Milica Petrovic, Martin Müller-Lennert)

Towards Reproducible Research of Event Detection Techniques for Twitter (Harry Schilling)

Towards an Ethical Code for Data-Based Business (Christoph Heitz)

Using computer vision to improve quality assurance in the food industry (Martin Müller)

Revenue and Availability Optimization Approaches for Shared Mobility Providers (Daniel Müller, Jan Fränkle)

Triangulated Sentiment Analysis of Tweets for Social CRM (Simone Griesser)

Data Management and Why This is so Strategic for Data Science Projects (Michael Probst)

Stress Pattern Recognition Through Wearable Biosensors in the Workplace: Experimental Longitudinal Study on the Role of Motion Intensity (Vadym Mozgovoy)

Creating Value for Clients through Data & Analytics – How we Implemented Data-Driven Client Segmentation and Launched a Center of Excellence in Data & Analytics (Michel Neuhaus, Daniel Perruchoud)

DNNViz: Training Evolution Visualization for Deep Neural Networks (Gil Clavien)