After completing the reviewing process we selected 5 papers. They are listed below:
| Paper title | Author(s) |
| Benchmarking Annotation Procedures for Multi-channel Time Series HAR Dataset | Hülya Avsar; Erik Altermann; Christopher Reining; Fernando Moya Rueda; Gernot Fink; Michael Hompel |
| Signaligner Pro: A tool to explore and annotate multi-day raw accelerometer data | Aditya Ponnada; Seth Cooper; Qu Tang; Binod Thapa-Chhetry; Josh Aaron Miller; Dinesh John; Stephen Intille |
| Towards EEG-based Performance Assessment in Dataset Annotation Tasks | Silvia M Massa; Marta Pibiri; Daniele Riboni |
| Discovering Types of Smartphone Usage Sessions from User-App Interactions | Björn Friedrichs; Liam D Turner; Stuart Allen |
| Data Labelling in the Wild: Annotating Free-Living Activities and Parkinson’s Disease Symptoms | Catherine Morgan; Farnoosh Heidarivincheh; Ian Craddock; Ryan McConville; Miquel Perelló Nieto; Emma L. Tonkin; Alessandro Masullo; Antonis Vafeas; Mickey Kim; Roisin McNaney; Gregory Tourte; Alan Whone |
The following keynotes will be presented as well in addition to the papers:
| Keynote: Machine learning and data analysis of multimodal affective and pain data | Privatdozent Dr. Friedhelm Schwenker (University of Ulm) | |
| Keynote: Training with imperfect and weak labels | Associate Professor Raul Santos-Rodriguez (University of Bristol) |