Institute of Artificial Intelligence and Complex Systems
Dear colleagues and followers of iCoSys. We happily announce you that our strategy for the next 4 years of development of iCoSys (period 17-20) has been approved by our peers and by the direction of the University. To celebrate this we cordially invite you to share beers and juices today Thursday 28th of April in […]
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. […]
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 […]
We’re pretty delighted to announce that the DAPLAB team and HEIA-FR will again this year host an official Hub for the next Google #HashCode, Thursday Feb 23. Don’t hesitate to form a team and register. More information here
iCoSys, in collaboration with DIVA , presented on 8th of December 2016 a scientific communication entitled “Deep Learning Features for Handwritten Keyword Spotting” at the International Conference on Pattern Recognition – ICPR2016 in Cancun, Mexico. Congrats to the authors for the acceptation of this paper. Abstract: Deep learning had a significant impact on diverse pattern recognition tasks in the recent past. In this […]
iCoSys, in collaboration with DIVA , presented on 7th of December 2016 a scientific communication entitled “Aggregation procedure of Gaussian Mixture Models for additive features” at the International Conference on Pattern Recognition – ICPR2016 in Cancun, Mexico. Congrats to the authors for the acceptation of this paper. Abstract: In this work we provide details on a new and effective approach able to generate […]