ICDAR 2021 in Lausanne

Join us at ICDAR 2021 in Lausanne from 5 to 10th of September 2021. As academic sponsor, iCoSys is involved in the organisation of the International Conference on Document Analysis and Recognition. This is the main and biggest conference for the research community active in document analysis and recognition, a field of growing importance in the current age of digital transition.

Sensors Magazine – Machine Learning For Fall Detection Using Wearable Sensors

Machine Learning achieves good success for automatic fall detection based on wearable sensors. Our iCoSys members Nicolas Zurbuchen and Pascal Bruegger, in collaboration with Adriana Wilde from the Centre for Health Technologies at the University of Southampton defined new state of the art results in their publication in Sensors magazine (Sensors 2021, 21(3), 938; https://doi.org/10.3390/s21030938). Congrats to them. […]

PhD Position in Machine Learning

Position: PhD student position in computer science in machine learning applied to Industry 4.0. The areas of research may include, but are not limited to, machine learning including deep learning on time series of data produced by industrial production machines. Your profile: You hold a Master of Science in Computer Science with a background in Machine Learning. […]

Project BBDATA presentation – next smart living lunch – 07.02.2017

The project BBDATA – Big Building Data will bepresented during the next smart living lunch this Tuesday 07.02.2017 11am to 13pm in the Blue Hall of the smart living lab’s premises (ground floor, Conference room “Fribourg”, map here). BBDATA aims at developing a scalable cloud platform and tools for storing and processing smart building data. It is […]

ICPR2016 Conference – Detection and Recognition of Arabic Text in Videos

iCoSys, in collaboration with DIVA and SAGE, presented yesterday the results of the contest on Detection and Recognition of Arabic Text in Videos at the International Conference on Pattern Recognition – ICPR2016 in Cancun, Mexico. Congrats to Oussama for the tremendous work he did with data preparation, ground truth labelling and protocols definition for this challenge. You […]