Fraunhofer-Institut für Integrierte Schaltungen (IIS)

Research facility


Location: Erlangen, Germany (DE) DE

ISNI: 0000000404947517

ROR: https://ror.org/024ape423

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data () Ott F, Heublein L, Raichur NL, Feigl T, Hansen J, Rügamer A, Mutschler C Unpublished / Preprint Position Tracking using Likelihood Modeling of Channel Features with Gaussian Processes () Kram S, Kraus C, Feigl T, Stahlke M, Jörg R, Mutschler C Unpublished / Preprint PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams (2025) Bauer P, Porada A, Ott F, Feigl T Conference contribution, Original article Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers (2025) Schelenz L, Rajanna S, Gosalci D, Heublein L, Pirkl J, Ott J, Ott F, Feigl T Conference contribution, Original article Instance Segmentation XXL-CT Challenge of a Historic Airplane (2025) Gruber R, Engster JC, Michen M, Blum N, Stille M, Gerth S, Wittenberg T Journal article Validation of an eigenvalue-based inverse method for estimating locally-reacting surface impedance (2025) Prinn AG, Panter P, Walther A, Habets E Journal article A study of the spatial non-uniformity of reverberation time at low frequencies (2025) Prinn AG, Tuna Ç, Walther A, Habets E Journal article microYOLO: Towards Single-Shot Object Detection on Microcontrollers (2025) Deutel M, Mutschler C, Teich J Conference contribution, Conference Contribution Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML (2025) Deutel M, Kontes G, Mutschler C, Teich J Journal article, Original article Mind the Naive Forecast! A Rigorous Evaluation of Forecasting Models for Time Series with Low Predictability (2025) Beck N, Dovern J, Vogl S Journal article, Original article