S. Stober

发表

The Hubness Phenomenon: Fact or Artifact?

C. Borgelt, Thomas Low, S. Stober, 2013 .

MusicGalaxy - An Adaptive User-Interface for Exploratory Music Retrieval

S. Stober, A. Nürnberger, 2010 .

Toward Studying Music Cognition with Information Retrieval Techniques: Lessons Learned from the OpenMIIR Initiative

Sebastian Stober, S. Stober, 2017, Front. Psychol..

Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control

S. Stober, C. Beste, A. Stock, 2020, Communications Biology.

Deep Learning Based on Event-Related EEG Differentiates Children with ADHD from Healthy Controls

V. Roessner, S. Stober, C. Beste, 2019, Journal of clinical medicine.

A Survey on the Acceptance of Listening Context Logging for MIR Applications

S. Stober, A. Nürnberger, M. Steinbrecher, 2009 .

Design and Implementation of an Algorithm and Data Structure for Matching of Geometric Primitives in Visual Object Classification

S. Stober, 2005 .

Hybrid Variational Predictive Coding as a Bridge between Human and Artificial Cognition

S. Stober, André Ofner, 2019, Artificial Life Conference Proceedings.

Deep learning based denoising of mammographic x-ray images: an investigation of loss functions and their detail-preserving properties

A. Maier, L. Ritschl, S. Stober, 2022, Medical Imaging.

Learning Continuous Rotation Canonicalization with Radial Beam Sampling

S. Stober, J. Schmidt, 2022, ArXiv.

Music Warehouses

S. Stober, G. Tzanetakis, A. Nurnberger, 2006 .

Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images

P. Radeva, O. Speck, S. Stober, 2020, ArXiv.

Voice Privacy - leveraging multi-scale blocks with ECAPA-TDNN SE-Res2NeXt extension for speaker anonymization

S. Stober, Tim Polzehl, I. Siegert, 2022, 2nd Symposium on Security and Privacy in Speech Communication.

Bisociative Music Discovery & Recommendation

S. Stober, A. Nürnberger, Stefan Haun, 2012 .

Analyzing and Visualizing Deep Neural Networks for Speech Recognition with Saliency-Adjusted Neuron Activation Profiles

Sebastian Stober, Jens Johannsmeier, Andreas Krug, 2021, Electronics.

Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models pdf

Sebastian Stober, Andreas Krug, S. Stober, 2020, ArXiv.

Neuron Activation Profiles for Interpreting Convolutional Speech Recognition Models

Sebastian Stober, Andreas Krug, René Knaebel, 2018 .

Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior

Vince D. Calhoun, Sebastian Stober, Michael D. Nunez, 2018, Front. Hum. Neurosci..

Differentiable Generalised Predictive Coding pdf

Andr'e Ofner, Sebastian Stober, S. Stober, 2021, ArXiv.

PredNet and Predictive Coding: A Critical Review

S. Stober, André Ofner, Vageesh Saxena, 2020, ICMR.

Hybrid Active Inference pdf

Sebastian Stober, André Ofner, S. Stober, 2018, ArXiv.

Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net

Sebastian Stober, Nader Aldoj, Federico Biavati, 2020, Scientific Reports.

Visualizing Deep Neural Networks with Topographic Activation Maps

Raihan Kabir Ratul, S. Stober, A. Krug, 2022, ArXiv.

Introspection for convolutional automatic speech recognition

Sebastian Stober, Andreas Krug, S. Stober, 2018, BlackboxNLP@EMNLP.

Incremental Visualization of Growing Music Collections

Andreas Nürnberger, Tatiana Gossen, Sebastian Stober, 2013, ISMIR.

Bisociative Music Discovery and Recommendation

Andreas Nürnberger, Sebastian Stober, Stefan Haun, 2012, Bisociative Knowledge Discovery.

Adaptive Distance Measures for Exploration and Structuring of Music Collections

Sebastian Stober, S. Stober, 2011, Semantic Audio.

Similarity Adaptation in an Exploratory Retrieval Scenario

Andreas Nürnberger, Sebastian Stober, S. Stober, 2010, Adaptive Multimedia Retrieval.

Learning discriminative features from electroencephalography recordings by encoding similarity constraints

Sebastian Stober, S. Stober, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Feature Learning for EEG Recordings pdf

Sebastian Stober, Adrian M. Owen, Jessica A. Grahn, 2015, ArXiv.

PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding pdf

Andr'e Ofner, Sebastian Stober, S. Stober, 2021, ArXiv.

Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control

S. Stober, C. Beste, A. Stock, 2020, Communications Biology.

Report of the symposium "Lernen, Wissen, Adaptivität 2011" of the GI special interest groups KDML, IR and WM, LWA 2011, Magdeburg, 28.-30.September 2011

Eyke Hüllermeier, Wolfgang Lehner, Bernhard Preim, 2011, LWA.

Adaptive music retrieval–a state of the art

Andreas Nürnberger, Sebastian Stober, S. Stober, 2013, Multimedia Tools and Applications.

Search result visualization with characters for children

Andreas Nürnberger, Tatiana Gossen, René Müller, 2014, IDC.

Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond

C. Hansen, S. Stober, M. Schostak, 2021, Artif. Intell. Medicine.

Voice-Controlled Search User Interfaces for Young Users

Michael Kotzyba, Tatiana Gossen, Sebastian Stober, 2013 .

Model-Based Frameworks for User Adapted Information Exploration: An Overview

Andreas Nürnberger, Michael Kotzyba, Tatiana Gossen, 2017, Companion Technology.

Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings

Sebastian Stober, Jessica A. Grahn, Daniel J. Cameron, 2014, NIPS.

Classifying EEG Recordings of Rhythm Perception

Sebastian Stober, Jessica A. Grahn, Daniel J. Cameron, 2014, ISMIR.

Does the beat go on?: identifying rhythms from brain waves recorded after their auditory presentation

Sebastian Stober, Jessica A. Grahn, Daniel J. Cameron, 2014, Audio Mostly Conference.

Automatic prostate and prostate zones segmentation of magnetic resonance images using convolutional neural networks

Sebastian Stober, Marc Dewey, Nader Aldoj, 2019 .

Modeling perception with hierarchical prediction: Auditory segmentation with deep predictive coding locates candidate evoked potentials in EEG

S. Stober, André Ofner, Sebastian Stober, 2020, ISMIR.

Transfer Learning for Speech Recognition on a Budget

Julius Kunze, Louis Kirsch, Sebastian Stober, 2017, Rep4NLP@ACL.

Towards Music Imagery Information Retrieval: Introducing the OpenMIIR Dataset of EEG Recordings from Music Perception and Imagination

Sebastian Stober, Adrian M. Owen, Jessica A. Grahn, 2015, ISMIR.

Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data pdf

Sebastian Stober, Sanja Mikulovic, Pavol Bauer, 2021, ArXiv.

Learning Continuous Rotation Canonicalization with Radial Beam Sampling

S. Stober, J. Schmidt, 2022, ArXiv.

The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR Publications

Andreas Nürnberger, Harald Sack, Sebastian Stober, 2019, ISMIR.

PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding

S. Stober, André Ofner, Sebastian Stober, 2021, ArXiv.

SAFIRE: Towards Standardized Semantic Rich Image Annotation

Andreas Nürnberger, Ingo Schmitt, Sebastian Stober, 2006, Adaptive Multimedia Retrieval.

An interdisciplinary competence profile for AI in engineering

S. Stober, M. Bieber, Johannes Schleiss, 2022, Towards a new future in engineering education, new scenarios that european alliances of tech universities open up.

Visualizing Deep Neural Networks with Topographic Activation Maps

Raihan Kabir Ratul, S. Stober, A. Krug, 2022, HHAI.

Limitations of machine learning in psychiatry: Participation in the PAC 2018 depression challenge

H. Walter, S. Stober, Fabian Eitel, 2019 .

User-Aware Music Retrieval

Nicola Orio, Markus Schedl, Emilia Gómez, 2012, Multimodal Music Processing.

Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface

Andreas Nürnberger, Sebastian Stober, Christian Hentschel, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Supporting Folk-Song Research by Automatic Metric Learning and Ranking

Andreas Nürnberger, Frans Wiering, Sebastian Stober, 2009, ISMIR.

Conditional generative adversarial networks applied to EEG data can inform about the inter-relation of antagonistic behaviors on a neural level

S. Stober, C. Beste, A. Stock, 2022, Communications Biology.

Browsing Music by Usage Context

Sebastian Stober, Christian Moewes, Otto-von-Guericke-University Magdeburg, 2008 .