Aktuelle Publikationen

Januar 2022

Finding and Removing Clever Hans: Using Explanation Methods to Debug and Improve Deep Models

Christopher J. Anders, Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, David Neumann, Leander Weber

Contemporary learning models for computer vision are typically trained on very large (benchmark) datasets with millions of samples. These may, however, contain biases, artifacts, or errors that have gone unnoticed and are exploitable by the...


Januar 2022

Explaining Machine Learning Models for Clinical Gait Analysis

Djordje Slijepcevic, Wojciech Samek, Sebastian Lapuschkin, Fabian Horst, Wolfgang I. Schöllhorn, Matthias Zeppelzauer, Anna-Maria Raberger, Christian Breiteneder, Brian Horsak, Andreas Kranzl

This article investigates the usefulness of Explainable Artificial Intelligence (XAI) methods to increase transparency in automated clinical gait classification based on time series. For this purpose, predictions of state-of-the-art...


Dezember 2021

Inverse kinematics for full-body self representation in VR-based cognitive rehabilitation

Larissa Wagnerberger, Sebastian Bosse, Detlef Runde, David Przewozny, Paul Chojecki, Mustafa Tevfik Lafci

Being self-represented through an avatar increases embodiment and the feeling of presence in virtual reality. Nevertheless, currently users in VR, especially in mobile set-ups are typically represented only by their hands, as not enough tracking...


November 2021

On the Link between Subjective Score Prediction and Disagreement of Video Quality Metrics

Lohic Fotio Tiotsop, Sebastian Bosse, Florence Agboma, Glenn van Wallendael, Ahmed Aldahdooh, Lucjan Janowski, Marcus Barkowsky, Enrico Masala

 

It is common to observe signi?cant disagreements amongst the quality predictions of these VQMs for the same video sequence. Herein, a measure for quantifying the disagreement between VQMs is proposed. We propose a disagreement measure that...


November 2021

Demonstration of latency-aware 5G network slicing on optical metro networks

Mohammad Behnam Shariati, Ronald Freund, Johannes Fischer, R. Nejabati, Jörg-Peter Elbers, Dimitra Simeonidou, R. Casellas, O. González de Dios, A. Autenrieth, Luis Velasco, Ralf-Peter Braun, Annika Dochhan, Bodo Lent, Marc Ruiz, J.J. Pedreno-Manresa, A. S. Muqaddas, J. E. Lopez de Vergara, S. López-Buedo, F.J. Moreno, P. Pavón, S. Patri, A. Giorgetti, A. Sgambelluri, F. Cugini, L. Luque Canto

The H2020 METRO-HAUL European project has architected a latency-aware, cost-effective, agile, and programmable optical metro network. This includes the design of semidisaggregated metro nodes with compute and storage capabilities, which interface...


November 2021

Secure Multi-Party Computation and Statistics Sharing for ML Model Training in Multi-domain Multi-vendor Networks

Pooyan Safari, Johanna Fischer, Mohammad Behnam Shariati, Geronimo Bergk

We propose a secure aggregation algorithm that allows proprietary-owned domains, hosting statistically different datasets, train and operate ML models in a Horizontally Federated Learning fashion. The obtained results show a compelling test...


November 2021

Vertical Federated Learning for Privacy-Preserving ML Model Development in Partially Disaggregated Networks

Nazila Hashemi, Johannes Fischer, Mohammad Behnam Shariati, Pooyan Safari

We present a novel framework that enables vendors and operators, with partial access to operational and monitoring features of a service, to collaboratively develop a ML-assisted solution without revealing any business-critical raw data to each...


November 2021

Can You Do Real-Time Gesture Recognition with 5 Watts?

Azrin Rahman, Peter Eisert, Sebastian Bosse, Detlef Runde, David Przewozny, Paul Chojecki, Mykyta Kovalenko

Accurate and reliable gesture recognition is a central problem in human-computer interaction (HCI). Many applications that make use of gesture recognition call for mobile devices with reduced power consumption, weight and form factors. Recent...


November 2021

Production environment of tomorrow (ProMo): Partially automated repair process of small tool moulds, forming tools, injection moulding tools and sand casting tools

Jan Kuschan, David Przewozny, Paul Chojecki, Vinzenz Müller, Stephan Mönchinger, Oliver Heimann, Carsten Niebuhr, Oday Kabha, Jörg Krüger

Small defects in the grain or major damage to a moulded part or tool can bring production to a standstill. SMEs in particular have neither the personnel nor the equipment to repair such damage on their own, so they send it to specialised...


November 2021

Radiation pattern of planar optoelectronic antennas for broadband continuous-wave terahertz emission

Simon Nellen, Martin Schell, Björn Globisch, Robert Kohlhaas, Lars Liebermeister, Milan Deumer, Sebastian Lauck, Garrit William Johannes Schwanke

In future wireless communication networks at terahertz frequencies, the directivity and the beam profile of the emitters are highly relevant since no additional beam forming optics can be placed in free-space between the emitter and receiver. We...



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