Author: jannis

iossifidis Lab at the Bernstein Conference 2022

Posted on By jannis
publication

Iossifidis Lab is participating with 5 publications at the Bernstein Conference 2022 in Berlin. Meet us from 14.09 to 16.09.2022 at the TU Berlin “Reinforcement Learning: Parameterizations for Distributional Continuous Control”, Felix Grün, Muhammed Saif-ur-Rehman and Ioannis Iossifidis “Closed-loop adaptation of brain-machine interfaces using error-related potentials and reinforcement learning“, Aline Xavier Fidencio, Christian Klaes and … Read More “iossifidis Lab at the Bernstein Conference 2022” »

Bernstein Conference 2022:Closed-loop adaptation of brain-machine interfaces using error-related potentials and reinforcement learning

Posted on By jannis
scientific publication

Closed-loop adaptation of brain-machine interfaces using error-related potentials and reinforcement learning Aline Xavier Fidêncio1, 2, 3 , Christian Klaes1 , Ioannis Iossifidis2 University Hospital Knappschaftskrankenhaus, Ruhr University Bochum, Bochum, Germany Institute of Computer Science, Ruhr West University of Applied Sciences, Mülheim an der Ruhr, Germany Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum, … Read More “Bernstein Conference 2022:Closed-loop adaptation of brain-machine interfaces using error-related potentials and reinforcement learning” »

Bernstein Conference 2022: Linking muscle activity and motion trajectory

Posted on By jannis
scientific publication

Marie Dominique Schmidt1 , Ioannis Iossifidis1 Institute of Computer Science, University of Applied Science Ruhr West, Duisburger Str. 100, 45479 Mülheim an der Ruhr, Germany The upper limbs enable us to perform a variety of tasks in everyday life that require strength and a wide range of motion as well as precision. For coordinated motion, … Read More “Bernstein Conference 2022: Linking muscle activity and motion trajectory” »

Bernstein Conference 2022: Exploring Distribution Parameterizations for Distributional Continuous Control

Posted on By jannis
scientific publication

Felix Grün1, 2 , Muhammed Saif-ur-Rehman1 , Ioannis Iossifidis1 Department for Computer Science, Ruhr-West University of Applied Sciences, Lützowstraße 5, 46236 Bottrop, Germany Institut für Neuroinformatik, Ruhr-University Bochum, Universitätsstraße 150, 44801 Bochum, Germany The relation between the activity of dopaminergic neurons and the temporal difference error in Reinforcement Learning (RL) problems [1] is well-known to … Read More “Bernstein Conference 2022: Exploring Distribution Parameterizations for Distributional Continuous Control” »

Bernstein Conference 2022: Modeling subject specfic surface EMG features by means of deep learning

Posted on By jannis
scientific publication

Stephan Johann Lehmler, Muhammad Saif-Ur-Rehman, Ioannis Iossifidis Computer Science, Ruhr West University of Applied Science, 45407 Mülheim an der Ruhr, Germany Institute for Neural Computation, Ruhr-University Bochum, 44801 Bochum, Germany Bioelectrical signals gathered via surface electromyography (sEMG) are the basis of muscle-machine-interfaces (MMI), which makes accurate decoding of those signals an important step in aplications … Read More “Bernstein Conference 2022: Modeling subject specfic surface EMG features by means of deep learning” »

BernsteinConference 2022:A dataset of 3D hand transport trajectories determined by inertial measurements from a single sensor

Posted on By jannis
scientific publication

Susanne Blex, Tim Sziburis, Ioannis Iossifidis Department of Computer Science, Ruhr West University of Applied Sciences, 45407 Mülheim an der Ruhr, Germany Institute of Neuroinformatics, Ruhr University Bochum, 44801 Bochum, Germany In our research, we model human upper-limb motion by means of the attractor dynamics approach as a promising candidate for the generation of human-like … Read More “BernsteinConference 2022:A dataset of 3D hand transport trajectories determined by inertial measurements from a single sensor” »

Master Project: Transfer Learning for Sentiment Analysis using CNN

Posted on By jannis
teaching

Master Student project at Ruhr West University of Applied Sciences. Students Ivan Cedric Mabou and Franck Wafo Supervision M. Sc. Stephan Lehmler Project site https://gitlab.hs-ruhrwest.de/ This study focused on the application of Transfer Learning (TL) to Sentiment Analysis (SA) using pre-trained word embeddings, as well as the transfer of different neural layers. We investigated and … Read More “Master Project: Transfer Learning for Sentiment Analysis using CNN” »

iLab Workshop on Feature Selection, Analysis and Classification (May, 2, 2022)

Posted on By jannis
workshop

The Workshop would consist of short presentations (10-20 minutes) on related topics followed by group discussion. In preparation for that we should all prepare by researching some part(s) of that topics listed below: time domain features frequency domain features statistical features dimensionality reduction / feature learning feature selection methods (moments, cumulants, zero crossings, …) hardware … Read More “iLab Workshop on Feature Selection, Analysis and Classification (May, 2, 2022)” »

IEEE-Prime: Development of a Scalable Analog Front-End for Brain-Computer Interfaces

Posted on By jannis
scientific publication, teaching

Sebastian Doliwa∗, Andreas Erbsl ̈oh†, Karsten Seidl†‡ and Ioannis Iossifidis∗∗University of Applied Science Ruhr-West, Institute for Computer Science, Mülheim an der Ruhr, Germany†University of Duisburg-Essen, Electronic Components and Circuits, Duisburg, Germany‡Fraunhofer Institute for Microelectronic Circuits and Systems, Duisburg, Germany In the context of the development of an implantable embedded system interfacing brain activity and enabling … Read More “IEEE-Prime: Development of a Scalable Analog Front-End for Brain-Computer Interfaces” »

BioRob2022: Biologically Inspired Model for Timed Motion in Robotic Systems

Posted on By jannis
publication, teaching

Sebastian Doliwa and Muhammad Ayaz Hussain and Tim Sziburis and Ioannis Iossifidis Timing plays a vital role in the generation of naturalistic behavior satisfying all constraints arising from interacting with a dynamic environment while adapting the planning and execution of action sequences on-line.In biological systems, many of the physiological and anatomical functions follow a particular … Read More “BioRob2022: Biologically Inspired Model for Timed Motion in Robotic Systems” »