Sebastian Stober

Orcid: 0000-0002-1717-4133

Affiliations:
  • Otto von Guericke University, Magdeburg, Germany


According to our database1, Sebastian Stober authored at least 82 papers between 2005 and 2024.

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Bibliography

2024
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images.
J. Imaging, February, 2024

Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example.
CoRR, 2024

Improving Voice Quality in Speech Anonymization With Just Perception-Informed Losses.
CoRR, 2024

Integrating AI Education in Disciplinary Engineering Fields: Towards a System and Change Perspective.
CoRR, 2024

StyleX: A Trainable Metric for X-ray Style Distances.
CoRR, 2024

Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

T-DVAE: A Transformer-Based Dynamical Variational Autoencoder for Speech.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Hybrid Symbolic-Waveform Modeling of Music - Opportunities and Challenges.
Proceedings of the 3rd Workshop on Artificial Intelligence and Creativity co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

Guidance to Noise Simulation in X-ray Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2024, 2024

2023
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN.
CoRR, 2023

Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses.
CoRR, 2023

StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings.
CoRR, 2023

StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings.
Proceedings of the 12th ISCA Speech Synthesis Workshop, 2023

Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Visualizing Deep Neural Networks with Topographic Activation Maps.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

How reliable are posterior class probabilities in automatic music classification?
Proceedings of the 18th International Audio Mostly Conference, 2023

Trustworthy Academic Risk Prediction with Explainable Boosting Machines.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

Visualizing Bias in Activations of Deep Neural Networks as Topographic Maps.
Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), 2023

2022
Learning Continuous Rotation Canonicalization with Radial Beam Sampling.
CoRR, 2022

Visualizing Deep Neural Networks with Topographic Activation Maps.
CoRR, 2022

Towards Patient Specific Reconstruction Using Perception-Aware CNN and Planning CT as Prior.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Neural-Gas VAE.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

Protecting Student Data in ML Pipelines: An Overview of Privacy-Preserving ML.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021
Differentiable Generalised Predictive Coding.
CoRR, 2021

PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding.
CoRR, 2021

Predictive coding, precision and natural gradients.
CoRR, 2021

Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data.
CoRR, 2021

Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond.
Artif. Intell. Medicine, 2021

Perception-Aware Losses Facilitate CT Denoising and Artifact Removal.
Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, 2021

2020
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images.
CoRR, 2020

Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models.
CoRR, 2020

Balancing Active Inference and Active Learning with Deep Variational Predictive Coding for EEG.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

PredNet and Predictive Coding: A Critical Review.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Modeling perception with hierarchical prediction: Auditory segmentation with deep predictive coding locates candidate evoked potentials in EEG.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Analyzing Regions of Safety for Handling Shared Data in Cooperative Systems.
Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

2019
Visualizing Deep Neural Networks for Speech Recognition with Learned Topographic Filter Maps.
CoRR, 2019

The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR Publications.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Hybrid Variational Predictive Coding as a Bridge between Human and Artificial Cognition.
Proceedings of the 2019 Conference on Artificial Life, 2019

Window-Based Neural Tagging for Shallow Discourse Argument Labeling.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
Hybrid Active Inference.
CoRR, 2018

Shared Generative Representation of Auditory Concepts and EEG to Reconstruct Perceived and Imagined Music.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Introspection for convolutional automatic speech recognition.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017
Model-Based Frameworks for User Adapted Information Exploration: An Overview.
Proceedings of the Companion Technology - A Paradigm Shift in Human-Technology Interaction, 2017

Transfer Learning for Speech Recognition on a Budget.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Exploring Large Movie Collections: Comparing Visual Berrypicking and Traditional Browsing.
Proceedings of the MultiMedia Modeling - 23rd International Conference, 2017

Learning discriminative features from electroencephalography recordings by encoding similarity constraints.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Brain Beats: Tempo Extraction from EEG Data.
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016

2015
Deep Feature Learning for EEG Recordings.
CoRR, 2015

Towards Music Imagery Information Retrieval: Introducing the OpenMIIR Dataset of EEG Recordings from Music Perception and Imagination.
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

2014
Visual berrypicking in large image collections.
Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, 2014

Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Classifying EEG Recordings of Rhythm Perception.
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

Does the beat go on?: identifying rhythms from brain waves recorded after their auditory presentation.
Proceedings of the Audio Mostly 2014, AM '14, 2014

Search result visualization with characters for children.
Proceedings of the IDC '14, 2014

2013
Adaptive music retrieval-a state of the art.
Multim. Tools Appl., 2013

Demos and Late-Breaking Session of the Thirteenth International Society for Music Information Retrieval Conference (ISMIR 2012).
Comput. Music. J., 2013

Incremental Visualization of Growing Music Collections.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Sprachgesteuerte Suchwerkzeuge für Junge Nutzer.
Proceedings of the 43. Jahrestagung der Gesellschaft für Informatik, 2013

2012
Bisociative Music Discovery and Recommendation.
Proceedings of the Bisociative Knowledge Discovery, 2012

A Systematic Comparison of Music Similarity Adaptation Approaches.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

User-Aware Music Retrieval.
Proceedings of the Multimodal Music Processing, 2012

2011
Adaptive methods for user-centered organization of music collections.
PhD thesis, 2011

Adaptive Distance Measures for Exploration and Structuring of Music Collections.
Proceedings of the AES International Conference Semantic Audio 2011, 2011

Designing gaze-supported multimodal interactions for the exploration of large image collections.
Proceedings of the NGCA 2011, First Conference on Novel Gaze-Controlled Applications, Karlskrona, Sweden, May 26, 2011

Analyzing the impact of data vectorization on distance relations.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Adaptive Verfahren zur nutzerzentrierten Organisation von Musiksammlungen.
Proceedings of the Ausgezeichnete Informatikdissertationen 2011, 2011

An Experimental Comparison of Similarity Adaptation Approaches.
Proceedings of the Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation, 2011

2010
Evaluation of adaptive SpringLens: a multi-focus interface for exploring multimedia collections.
Proceedings of the 6th Nordic Conference on Human-Computer Interaction 2010, 2010

Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface.
Proceedings of the International Joint Conference on Neural Networks, 2010

MusicGalaxy: A Multi-focus Zoomable Interface for Multi-facet Exploration of Music Collections.
Proceedings of the Exploring Music Contents - 7th International Symposium, 2010

Similarity Adaptation in an Exploratory Retrieval Scenario.
Proceedings of the Adaptive Multimedia Retrieval. Context, Exploration, and Fusion, 2010

2009
User-Adaptive Music Information Retrieval.
Künstliche Intell., 2009

Supporting Folk-Song Research by Automatic Metric Learning and Ranking.
Proceedings of the 10th International Society for Music Information Retrieval Conference, 2009

2008
Enhancing chord classification through neighbourhood histograms.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008

Towards User-Adaptive Structuring and Organization of Music Collections.
Proceedings of the Adaptive Multimedia Retrieval. Identifying, 2008

2007
Towards Query by Singing/Humming on Audio Databases.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007

User Modelling for Interactive User-Adaptive Collection Structuring.
Proceedings of the Adaptive Multimedial Retrieval: Retrieval, 2007

Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation.
Proceedings of the Adaptive Multimedial Retrieval: Retrieval, 2007

2006
DAWN - A System for Context-Based Link Recommendation in Web Navigation.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

SAFIRE: Towards Standardized Semantic Rich Image Annotation.
Proceedings of the Adaptive Multimedia Retrieval: User, 2006

Context-Based Navigational Support in Hypermedia.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2006

2005
CARSA - An Architecture for the Development of Context Adaptive Retrieval Systems.
Proceedings of the Adaptive Multimedia Retrieval: User, 2005


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