Ricard Delgado-Gonzalo on Riva Digital – Lowering the Blood Pressure of Swiss People with a Companion AI
Christian Lovis on Covid-19 and Epidemiologic Predictions: A Reality Check
Beat Hörmann on “You can count on us” – Preclinical Automated Cell-Counting with Deep Learning on the Edge
Lukas A. Widmer on Data Science in Pharma: A Case Study in Making the Most of Sparse, Expensive Data for Safely Guiding Multi-Drug Dose Escalation
Gabriel Krummenacher on Bridging the Gap Between Research and Medical Practice: Machine Learning in a Highly Regulated Environment
Yasamin Eslahi on Annotating Web Tables through Knowledge Bases: A Context-Based Approach
Christian Kowalkowski on Digital Servitization: The Next Competitive Frontier
Myrna Flores and Shaun West on DARE2HACK: Crowdsourcing ideas through hackathons to codesign new human-centric services
Djamel Lakehal on Toward Physics-Informed Simulation and Machine Learning Based Digital Twins for Process Optimization using eDAP
Urs Güttinger and Philipp Thomann on How to Find the Nut in the Haystack – An AI-supported Product Solution Advisor for Fasteners
Andreas Bleuler on Renku – A New Open Source Tool for Reproducible Data Science
Keynote: Pieter Abbeel on Towards Learning Systems that Require Less Annotation
Robert Rohrkemper on Enhancing Real-time Debit Card Fraud Detection with Deep Learning
Sylvain Robert on To Fly Or Not To Fly? A New Bottom-Up Approach for Aviation Risk
Jürg Schelldorfer on Neural Networks and Random Forest in Insurance Risk Modelling
Bertrand Loison on Data Science and Official Statistics: Myth or Reality? Swiss Federal Statistical Office
Zacharias Kull and Patrick Grütter on Efficiently and Easily Get Your Data Ready for AI with Smart Data Lake Builder
Prateek Purwar on Fingerprinting for Industry 4.0
Thibault Kuntzer on Data-Driven Animal Health and Welfare Metrics for Livestock Farming
Marc Schöni and Ilias Papadimitriou on Using ML to reduce costs and environmental impact in industrial manufacturing
Frank Strohmaier and Michael Probst on Agile Data Orchestration & Machine Learning Model Integration
Vadym Mozgovoy on Exploration of Scenario-Based Simulations for Stress Benchmarking in Swiss Public Service
Guang Lu and Christian Dollfus on Intelligent Branding for less Well-Known Enterprises by Matching Culture Values of Employers and Candidates
Felix Hamann on Neural Entity Linking on Technical Service Tickets
Evangelos Ntavelis on Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks
Krishna Gummadi on Quantifying and Mitigating Algorithmic Discrimination
Michele Loi on A Comparative Assessment and Synthesis of Twenty Ethics Codes on AI and Big Data
Frank Grognet and Sangeetha Somashekara on How to Leverage Unstructured Data to Improve Knowledge Management: Two Use Cases in the Legal Profession.