Publications

For additional information and material about our publications,
visit https://bib.sebastianstober.de

2022

  • Protecting Student Data in ML Pipelines: An Overview of Privacy-Preserving ML.
    Johannes Schleiss; Kolja Günther & Sebastian Stober.
    In: Proceedings of the International Conference on Artificial Intelligence in Education, 532-536, 2022.
    [URL]


  • BiTe-REx: An Explainable Bilingual Text Retrieval System in the Automotive Domain.
    Viju Sudhi; Sabine Wehnert; Norbert Michael Homner; Sebastian Ernst; Mark Gonter; Andreas Krug & Ernesto William De Luca.
    In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Pages 3251–3255, 2022.
    [URL]


  • Visualizing Deep Neural Networks with Topographic Activation Maps.
    Andreas Krug; Raihan Kabir Ratul & Sebastian Stober.
    In: arXiv preprint arXiv:2204.03528, 2022.
    [PDF] [github]

2021

  • Hierarchical Predictive Coding and Interpretable Audio Analysis-Synthesis.
    André Ofner; Johannes Schleiss & Sebastian Stober.

    In: Proc. of the 15th International Symposium on CMMR, 2021.
    [PDF]

  • Uncertainty-aware temporal self-learning (UATS) - semi-supervised learning for segmentation of prostate zones and beyond.
    Anneke Meyer; Suhita Ghosh; Daniel Schindele; Martin Schostak; Sebastian Stober; Christian Hansen & Marko Rak.
    In: Artificial intelligence in medicine: AIM - Amsterdam [u.a.]: Elsevier Science - AIM, Bd. 116, 2021.
    [PDF]

  • Analyzing and Visualizing Deep Neural Networks for Speech Recognition with Saliency-Adjusted Neuron Activation Profiles.
    Andreas Krug; Maral Ebrahimzadeh; Jost Alemann; Jens Johannsmeier & Sebastian Stober.
    In: Electronics 10 (11), 1350, 2021.
    [URL]

  • Perceptual Losses Facilitate CT Denoising and Artifact Removal.
    Suhita Ghosh; Andreas Krug; Georg Rose & Sebastian Stober.
    In: 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS). IEEE, 2021.
    [URL]

  • Distributed Planning with Active Inference.
    André Ofner; Johannes Schleiss & Sebastian Stober.
    In: Bernstein Conference, 2021.
    [URL]

  • Visualizing Artificial Neural Network Activations as Topographic Maps.
    Andreas Krug; Raihan Kabir Ratul & Sebastian Stober.
    In: Bernstein Conference, 2021.
    [URL]

  • Few-Shot Bioacoustic Event Detection via Segmentation using Prototypical Networks.
    Jens Johannsmeier & Sebastian Stober.
    In: Detection and Classification of Acoustic Scenes and Events (DCASE), 2021.
    [PDF]

  • Approaching Scheduling Problems via a Deep Hybrid Greedy Model and Supervised Learning.
    Johann Schmidt & Sebastian Stober.
    In: IFAC-PapersOnline 54 (1), 805-810, 2021.
    [URL]

2020

  • Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net.
    Nader Aldoj; Federico Biavati; Florian Michallek; Sebastian Stober & Marc Dewey.
    In: Scientific Reports, Volume 10, Number 1, Springer Science and Business Media LLC, 2020.
    [DOI] [PDF]

  • Balancing Active Inference and Active Learning with Deep Variational Predictive Coding for EEG.
    André Ofner & Sebastian Stober.
    In: IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), 2020.
    [URL]

  • Modeling perception with hierarchical prediction: Auditory segmentation with deep predictive coding locates candidate evoked potentials in EEG.
    André Ofner & Sebastian Stober.
    In: ResearchGATE: scientific neetwork ; the leading professional network for scientists - Cambridge, Mass.: ResearchGATE Corp., 2010, 2020.
    [URL] [PDF]

  • Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.
    Amirali Vahid; Moritz Mückschel; Sebastian Stober: Ann-Kathrin Stock & Christian Beste.
    In: Communications biology - London: Springer Nature, Vol. 3.2020, Art.-Nr. 112, 11, 2020.
    [DOI] [PDF]

  • Analyzing regions of safety for handling shared data in cooperative systems.
    Georg Jäger; Johannes Schleiss; Sasiporn Usanavasin; Sebastian Stober & Sebastian Zug.
    In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020.
    [URL]

  • PredNet and Predictive Coding: A Critical Review.
    Roshan Prakash Rane; Edit Szügyi; Vageesh Saxena; André Ofner & Sebastian Stober.
    In: Proceedings of the 2020 International Conference on Multimedia Retrieval, ICMR ’20, Pages 233–241, Association for Computing Machinery, New York, NY, USA, 2020.
    [DOI] [PDF]

  • Exploration of interpretability techniques for deep COVID-19 classification using chest X-ray images.
    Soumick Chatterjee; Fatima Saad; Chompunuch Sarasaen; Suhita Ghosh; Rupali Khatun; Petia Radeva; Georg Rose; Sebastian Stober; Oliver Speck & Andreas Nürnberger.
    In: arXiv preprint arXiv:2006.02570, 2020.
    [PDF]

  • Gradient-adjusted neuron activation profiles for comprehensive introspection of convolutional speech recognition models.
    Andreas Krug & Sebastian Stober.
    In: arXiv preprint arXiv:2002.08125, 2020.
    [PDF]

2019

  • Window-Based Neural Tagging for Shallow Discourse Argument Labeling.
    René Knaebel; Manfred Stede & Sebastian Stober.
    In: Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), Pages 768-777, 2019.
    [DOI] [PDF]

  • The ISMIR Explorer – A Visual Interface for Exploring 20 Years of ISMIR Publications.
    Thomas Low; Christian Hentschel; Sayantan Polley; Anustup Das; Harald Sack; Andreas Nürnberger & Sebastian Stober.
    In: 20th International Society for Music Information Retrieval Conference (ISMIR’19), Pages 392-399, 2019.
    [PDF]

  • Predictive Coding Based Vision For Autonomous Cars.
    Roshan Prakash Rane;​ André Ofner; Shreyas Gite​ & Sebastian Stober.
    In: Computational Cognition 2019 Workshop, 2019.
    [URL]

  • Knowledge transfer in coupled predictive coding networks.
    André Ofner & Sebastian Stober.
    In: Bernstein Conference, 2019.
    [DOI]

  • Visualizing Deep Neural Networks for Speech Recognition with Learned Topographic Filter Maps.
    Andreas Krug & Sebastian Stober.
    In: Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019.
    [PDF]

  • Siri visualisiert.
    Andreas Krug & Sebastian Stober.
    In: Proceedings of the 2019 NaWik Symposium Karlsruhe, Pages 24-25, 2019.

  • Deep Learning Based on Event-Related EEG Differentiates Children with ADHD from Healthy Controls.
    Amirali Vahid; Annet Bluschke; Veit Roessner; Sebastian Stober & Christian Beste.
    In: Journal of Clinical Medicine, Volume 8, Number 7, 2019.
    [DOI] [PDF]

  • Hybrid Variational Predictive Coding as a Bridge between Human and Artificial Cognition.
    André Ofner & Sebastian Stober.
    In: The 2019 Conference on Artificial Life, Number 31, Pages 68-69, 2019.
    [URL] [PDF]

  • Automatic prostate and prostate zones segmentation of magnetic resonance images using convolutional neural networks.
    Nader Aldoj; Federico Biavati; Miriam Rutz; Florian Michallek; Sebastian Stober & Marc Dewey.
    In: Proceedings of International Conference on Medical Imaging with Deep Learning (MIDL’19), 2019.
    [DOI] [PDF]

 

Last Modification: 04.08.2022 - Contact Person: Michael Preuss