Aktuelle Publikationen

Dezember 2022

Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement

Leander Weber, Wojciech Samek, Alexander Binder, Sebastian Lapuschkin

Explainable Artificial Intelligence (XAI) is an emerging research field bringing transparency to highly complex and opaque machine learning (ML) models. This paper offers a comprehensive overview over techniques that apply XAI practically to...

November 2022

150 GBd PAM-4 Electrical Signal Generation using SiGe-Based Analog Multiplexer Ic

Jonathan Schostak, Volker Jungnickel, Ronald Freund, Tobias Tannert, Markus Grözing, Manfred Berroth, Christian Schmidt, Holger Rücker

Analog Multiplexers in Silicon-Germanium technology allow increasing the analog bandwidth of Digital-to-Analog-Converters and enable faster data transfers. We demonstrated 4-level pulse-amplitude modulation (PAM-4) signal transmission at 150 GBd...

November 2022

Selection of XAI Methods Matters: Evaluation of Feature Attribution Methods for Oculomotoric Biometric Identification

Daniel Krakowczyk, Sebastian Lapuschkin, David Robert Reich, Paul Prasse, Lena Ann Jäger, Tobias Scheffer

Substantial advances in oculomotoric biometric identification have been made due to deep neural networks processing non-aggregated time series data that replace methods processing theoretically motivated engineered features. In this work, we...

November 2022

New Definitions of Human Lymphoid and Follicular Cell Entities in Lymphatic Tissue by Machine Learning

Patrick Wagner, Klaus-Robert Müller, Wojciech Samek, Frederick Klauschen, Arturo Marban, Nils Strodthoff, Philipp Seegerer, Patrick Wurzel, Sonja Scharf, Hendrik Schäfer, Andreas Loth, Sylvia Hartmann, Martin-Leo Hansmann

Histological sections of the lymphatic system are usually the basis of static (2D) morphological investigations. Here, we performed a dynamic (4D) analysis of human reactive lymphoid tissue using confocal fluorescent laser microscopy in...

November 2022

Towards the Interpretability of Deep Learning Models for Multi-Modal Neuroimaging: Finding Structural Changes of the Ageing Brain

Simon M. Hofmann, Klaus-Robert Müller, Wojciech Samek, Arno Villringer, Sebastian Lapuschkin, Frauke Beyer, Markus Loeffler, A. Veronica Witte, Ole Goltermann

Brain-age (BA) estimates based on deep learning are increasingly used as neuroimaging biomarker for brain health; however, the underlying neural features have remained unclear. We combined ensembles of convolutional neural networks with...

Oktober 2022

Time Adaptive Probabilistic Shaping for Combined Optical/THz Links

In-Ho Baek, Colja Schubert, Ronald Freund, Robert Elschner, Frederik Bart, Fred Meier, David Hellmann, Andreas Maaßen

We investigate the applicability of PAS for outdoor THz wireless links in simulations with weather-dependent loss models. Link performances are evaluated and optimal shaping entropies are determined to adjust error rates to a given FEC threshold....

Oktober 2022

Edge Cloud based Visual Inspection for Automatic Quality Assurance in Production

Pooyan Safari, David Przewozny, Paul Chojecki, Ronald Freund, Johannes K. Fischer, Mohammad Behnam Shariati, Axel Vick, Moritz Chemnitz

We present a remote quality assurance use-case in distributed production sites that can be realized with the powerful capabilities of Artificial Intelligence (AI) combined with real-time video streaming systems and high-speed, low-latency...

Oktober 2022

Ultra-Broadband Optical Wavelength-Conversion using Nonlinear Multi-Modal Optical Waveguides

Norbert Hanik, Colja Schubert, Ronald Freund, Lars Zimmermann, Isaac Sackey, Gregor Ronniger, Tasnad Kernetzky, Yizhao Jia, Ulrike Höfler

Ultra-Broadband Wavelength Conversion is one of the key issues of future optical networks. The physical background of ultra-broadband optical wavelength conversion in a multi-modal Silicon waveguide and methods to optimize its functionality are...

Oktober 2022

Fixed 5th Generation Advanced and Beyond

F. J. Effenberger, D. Hillerkuss, I. Tomkos, Johannes K. Fischer, Mohammad Behnam Shariati, F. J. Effenberger, Yike Jiang, Thierno Diallo, Zhuotong Li, Wenhong Liu, Weizhao Yu, Yongli Zhao, Li Ao, Xiaobo Cao Cao, Qian Liu, Ming Jiang, Jialiang Jin, Junjie Li, Jian Tang, Anxu Zhang, Chengliang Zhang, Dezhi Zhang, Shikui Shen, Yue Sun, Xiongyan Tang, Guangquan Wang, Yuguang Chang, Raul Muñoz, Manny R. Estrada, Jorge Bonifacio, Marcus Brunner, Francis Keshmiri, Hongyu Li, Yi Lin, Xiang Liu, Frank Melinn, Jun Zhou, Qidong Zou, Steven Hill, Lloyd Mphahlele, Evandro Bender, Philippe Chanclou, Gaël Simon, Olivier Ferveur, Luca Pesando, Sandesh Manganahalli Jayaprakash, Marcel van Sambeek, Teun van der Veen, Oguzkagan Kanlidere

One of the overarching goals of the ETSI Industry Specification Group (ISG) F5G on Fifth Generation Fixed Network is to establish a regular rhythm of evolution for the fixed telecommunications network. So far, F5G has published technical...

Oktober 2022

Towards Trustworthy AI in Dentistry

Jackie Ma, Wojciech Samek, Sebastian Lapuschkin, Falk Schwendicke, Joachim Krois, Lisa Schneider, Reduan Achtibat, Martha Duchrau

Medical and dental artificial intelligence (AI) require the trust of both users and recipients of the AI to enhance implementation, acceptability, reach, and maintenance. Standardization is one strategy to generate such trust, with quality...

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