Seminars

April 26th, 2022 – 14:00 CET Registration link: https://bit.ly/3uER094Registration is free (zoom link shared before the session to those who register) Date: April 26, 2022 02:00 PM CET (1PM in Portugal) Speaker: Catia Pesquita Title: Knowledge Science for trust in AI-based biomedical and clinical applications Abstract: Biomedical and clinical applications of artificial intelligence are increasingly popular in the […]

April 5th, 2022 – 16:00 CET Registration link: https://bit.ly/3DfnsS0Registration is free (zoom link shared before the session to those who register) Date: January 11th, 2022 – 16:00 CET Speaker: Anton Gradišek Title: A pilot study: Here be dragons! Abstract: This talk will be a bit different than the previous lectures from the cycle. Instead of algorithms, I will

January 11th, 2022 – 16:00 CET Registration link: https://bit.ly/3sYBSDb Registration is free (zoom link shared before the session to those who register) Date: January 11th, 2022 – 16:00 CET Speaker: Mitja Lustrek Title: Activity recognition with a few twists: Experiences from SHL Challenges 2019 and 2020 Abstract: Sussex-Huawei Locomotion (SHL) Dataset was recorded by three people carrying four

October 19th, 2021 – 16:00 CET Registration link: https://bit.ly/3mGiIx0 Registration is free (zoom link shared before the session to those who register) Date: October 19th, 2021 – 16:00 CET Speaker: Diogo Branco Title: DataPark: Reflections from a Longitudinal Deployment of a Digital Platform for PD Monitoring Abstract: Designing tools that are meaningful for healthcare environments can be difficult.

Date: September 14th, 2021 – 16:00 CET Speaker: Hristijan Gjoreski Title: Wearable Computing and its Machine-Learning Applications Abstract: The recent technological advancements in the sensors development in their miniaturization, allowed numerous applications in the areas of wearable computing, pervasive computing, smart systems, mobile health etc. This talk will focus on few important machine-learning applications in with wearable

Date: June 22nd, 2021 – 16:00 CET Speaker: Venet Osmani Title: Predicting deterioration of critically ill patients Abstract: Intensive care units generate large quantities of data from various patient monitoring and intervention systems. Limited ability of humans to process and act on complex information also extends to intensive care clinicians, at times resulting in information overload, and