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Unpublished / Preprint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

Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression (2023) Deutel M, Woller P, Mutschler C, Teich J Conference contribution, Conference Contribution Change the direction: 3D optimal control simulation by directly tracking marker and ground reaction force data (2023) Nitschke M, Marzilger R, Leyendecker S, Eskofier B, Koelewijn A Journal article, Original article Mitosis domain generalization in histopathology images — The MIDOG challenge (2023) Aubreville M, Stathonikos N, Bertram CA, Klopfleisch R, ter Hoeve N, Ciompi F, Wilm F, et al. Journal article Algorithms for the clique problem with multiple-choice constraints under a series–parallel dependency graph (2023) Bärmann A, Gemander P, Merkert M, Wiertz AK, Zaragoza Martínez FJ Journal article When machine learning meets Network Management and Orchestration in Edge-based networking paradigms (2023) Shahraki A, Ohlenforst T, Kreyss F Journal article, Review article Mehrstufige strategische Frühaufklärung durch iterative automatisierte Themenerkennung und Fusion von Nachrichten-, Journal- und Patenttexten mittels Natural Language Processing (NLP), (2023) Haan P, Berbig M, Blum R, Jörden J, Schirrmeister E, Zimmermann R Conference contribution A Stochastic Optimization Approach to Energy-Efficient Underground Timetabling Under Uncertain Dwell and Running Times (2023) Gemander P, Bärmann A, Martin A Journal article “Chamber #8” – a holistic approach of high-throughput non-destructive assessment of plant roots (2023) Claussen J, Wittenberg T, Uhlmann N, Gerth S Journal article Transformer-based Self-supervised Representation Learning for Emotion Recognition Using Bio-signal Feature Fusion (2023) Sawant SS, Erick FX, Arora P, Pahl J, Foltyn A, Holzer N, Götz T Conference contribution Bio-Signal Based Multimodal Fusion with Bilinear Model for Emotion Recognition (2023) Singh A, Holzer N, Gotz T, Wittenberg T, Gob S, Sawant S, Salman MM, Pahl J Conference contribution