Machine Learning Meetups Bratislava je stretnutie ľudí so záujmom o strojové učenie a príbuzné témy ako AI, data mining, computer vision, information retrieval and natural language processing.
Formát meetupu zahŕňa prezentáciu a dostatok času na nasledovné diskusie a networking. Ak viete o speakrovi alebo téme, ktorú by ste radi na meetupe videli, ozvite sa nám! Veľmi radi pripravíme ďalšiu zaujímavú prednášku.
Spolupracujeme s úspešne rozbehnutým cyklom meetupov MLMU v Prahe (http://www.mlmu.cz/), univerzitami aj lokálnymi firmami. Viac informácii môžte nájsť na našej webstránke http://www.mlmu.sk/ .
Upcoming MLMU meetup in Bratislava will be on[masked], at 19:00, at Progress Bar. Be welcome to join us! Dr. Franz Fürbass will talk about deep learning used in diagnosis of cardiovascular and neurological diseases like atrial fibrillation or epilepsy.
Please help us manage capacity by registering via Eventbrite:
Talk will be in English followed by discussion and networking with refreshments at the venue in ProgressBar. If you can't join us, don't be sad, our talk will be livestreamed via facebook and link shared later on. The content will be similar to the talk in Vienna.
Event: Deep Learning for Electrical Biosignals
Electrical biosignals are commonly used in diagnosis of cardiovascular and neurological diseases like atrial fibrillation or epilepsy. Strict regulatory rules slowed down innovation for a long time but now a large number of startups and industry players like Phillips and Apple enter the market. The talk will focus on deep learning-based methods to analyze Electrocardiogram (ECG) and Electroencephalogram (EEG) and aspects on how such algorithms find their way into FDA/CE cleared devices and software will be discussed.
Dr. Franz Fürbass studied Information and Computer Engineering at the Technical University of Graz (Austria) and received his PhD at the Technical University of Vienna for his work on automatic signal processing of EEG (electroencephalogram). He worked in international companies on solutions for Voice-over-IP and developed systems-on-chip algorithms for cryptography as well as audio signal processing. Since over 10 years he works as scientist at the AIT Austrian Institute of Technology where he is part of the algorithm development team of encevis (www.encevis.com) an innovative medical product for rapid evaluation of EEG. His research interests are applications of AI and deep learning methods to develop solutions in medicine.