Technische Universität Dresden

University / College


Location: Dresden, Germany (DE) DE

ISNI: 0000000121117257

ROR: https://ror.org/042aqky30

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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Unpublished / Preprint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

Barrieren und Strategien bei der Anwendung expositionsbasierter Verfahren in der niedergelassenen Praxis. (2019) Rumin E, Pittig A, Hoyer J Journal article, Report Framework for Adaptive Controller Design Over Wireless Delay-Prone Communication Channels (2019) Scheuvens L, Simsek M, Noll-Barreto A, Franchi N, Fettweis GP Journal article Real-time Cooperative Spectrum Sensing: Reliable Localization of Unknown Interferers in Shared Spectrum (2019) Kulkarni K, Franchi N, Fettweis G Conference contribution Same fear responses, less avoidance: Rewards competing with aversive outcomes do not buffer fear acquisition, but attenuate avoidance to accelerate subsequent fear extinction (2019) Pittig A, Dehler J Journal article Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification (2019) Heinrich K, Möller B, Janiesch C, Zschech P Conference contribution Application of Process Mining Techniques to Support Maintenance-Related Objectives (2019) Horn R, Zschech P Conference contribution Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems (2019) Heinrich K, Zschech P, Skouti T, Griebenow J, Riechert S Conference contribution Towards a Text-based Recommender System for Data Mining Method Selection (2019) Zschech P, Heinrich K, Horn R, Hoeschele D Conference contribution, Conference Contribution Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA’s Turbofan Degradation (2019) Zschech P, Bernien J, Heinrich K Conference contribution, Conference Contribution Everything Counts: A Taxonomy of Deep Learning Approaches for Object Counting (2019) Heinrich K, Roth A, Zschech P Conference contribution, Conference Contribution