CARSA - An Architecture for the Development of Context Adaptive Retrieval Systems. - Korinna Bade; Ernesto William De Luca; Andreas Nürnberger; Sebastian Stober (Adaptive Multimedia Retrieval, 2005)

Context-Based Navigational Support in Hypermedia. - Sebastian Stober; Andreas Nürnberger (AH, 2006)

SAFIRE: Towards Standardized Semantic Rich Image Annotation. - Christian Hentschel; Andreas Nürnberger; Ingo Schmitt; Sebastian Stober (Adaptive Multimedia Retrieval, 2006)

DAWN - A System for Context-Based Link Recommendation in Web Navigation. - Sebastian Stober; Andreas Nürnberger (KES (1), 2006)

Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation. - Christian Hentschel; Sebastian Stober; Andreas Nürnberger; Marcin Detyniecki (Adaptive Multimedia Retrieval, 2007)

User Modelling for Interactive User-Adaptive Collection Structuring. - Andreas Nürnberger; Sebastian Stober (Adaptive Multimedia Retrieval, 2007)

Towards Query by Singing/Humming on Audio Databases. - Alexander Duda; Andreas Nürnberger; Sebastian Stober (ISMIR, 2007)

Towards User-Adaptive Structuring and Organization of Music Collections. - Sebastian Stober; Andreas Nürnberger (Adaptive Multimedia Retrieval, 2008)

Enhancing chord classification through neighbourhood histograms. - Johannes Reinhard; Sebastian Stober; Andreas Nürnberger (CBMI, 2008)

Supporting Folk-Song Research by Automatic Metric Learning and Ranking. - Korinna Bade; Andreas Nürnberger; Sebastian Stober; Jörg Garbers; Frans Wiering (ISMIR, 2009)

User-Adaptive Music Information Retrieval. - Sebastian Stober; Andreas Nürnberger (Künstliche Intell., 2009)

Similarity Adaptation in an Exploratory Retrieval Scenario. - Sebastian Stober; Andreas Nürnberger (Adaptive Multimedia Retrieval, 2010)

MusicGalaxy: A Multi-focus Zoomable Interface for Multi-facet Exploration of Music Collections. - Sebastian Stober; Andreas Nürnberger (CMMR, 2010)

Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface. - Sebastian Stober; Christian Hentschel; Andreas Nürnberger (IJCNN, 2010)

Evaluation of adaptive SpringLens: a multi-focus interface for exploring multimedia collections. - Sebastian Stober; Christian Hentschel; Andreas Nürnberger (NordiCHI, 2010)

An Experimental Comparison of Similarity Adaptation Approaches. - Sebastian Stober; Andreas Nürnberger (Adaptive Multimedia Retrieval, 2011)

Adaptive Verfahren zur nutzerzentrierten Organisation von Musiksammlungen. - Sebastian Stober (Ausgezeichnete Informatikdissertationen, 2011)

Analyzing the impact of data vectorization on distance relations. - Sebastian Stober; Andreas Nürnberger (ICME, 2011)

Designing gaze-supported multimodal interactions for the exploration of large image collections. - Sophie Stellmach; Sebastian Stober; Andreas Nürnberger; Raimund Dachselt (NGCA, 2011)

Adaptive Distance Measures for Exploration and Structuring of Music Collections. - Sebastian Stober (Semantic Audio, 2011)

Adaptive methods for user-centered organization of music collections. - Sebastian Stober (2011)

User-Aware Music Retrieval. - Markus Schedl; Sebastian Stober; Emilia Gómez; Nicola Orio; Cynthia C. S. Liem (Multimodal Music Processing, 2012)

A Systematic Comparison of Music Similarity Adaptation Approaches. - Daniel Wolff; Sebastian Stober; Andreas Nürnberger; Tillman Weyde (ISMIR, 2012)

Bisociative Music Discovery and Recommendation. - Sebastian Stober; Stefan Haun; Andreas Nürnberger (Bisociative Knowledge Discovery, 2012)

Sprachgesteuerte Suchwerkzeuge für Junge Nutzer. - Tatiana Gossen; Michael Kotzyba; Sebastian Stober; Andreas Nürnberger (GI-Jahrestagung, 2013)

Incremental Visualization of Growing Music Collections. - Sebastian Stober; Thomas Low; Tatiana Gossen; Andreas Nürnberger (ISMIR, 2013)

Demos and Late-Breaking Session of the Thirteenth International Society for Music Information Retrieval Conference (ISMIR 2012). - Amelie Anglade; Eric Humphrey; Erik M. Schmidt; Sebastian Stober; Mohamed Sordo (Comput. Music. J., 2013)

Adaptive music retrieval-a state of the art. - Sebastian Stober; Andreas Nürnberger (Multim. Tools Appl., 2013)

Search result visualization with characters for children. - Tatiana Gossen; René Müller 002; Sebastian Stober; Andreas Nürnberger (IDC, 2014)

Does the beat go on?: identifying rhythms from brain waves recorded after their auditory presentation. - Sebastian Stober; Daniel J. Cameron; Jessica A. Grahn (Audio Mostly Conference, 2014)

Classifying EEG Recordings of Rhythm Perception. - Sebastian Stober; Daniel J. Cameron; Jessica A. Grahn (ISMIR, 2014)

Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings. - Sebastian Stober; Daniel J. Cameron; Jessica A. Grahn (NIPS, 2014)

Visual berrypicking in large image collections. - Thomas Low; Christian Hentschel; Sebastian Stober; Harald Sack; Andreas Nürnberger (NordiCHI, 2014)

Towards Music Imagery Information Retrieval: Introducing the OpenMIIR Dataset of EEG Recordings from Music Perception and Imagination. - Sebastian Stober; Avital Sternin; Adrian M. Owen; Jessica A. Grahn (ISMIR, 2015)

Deep Feature Learning for EEG Recordings. - Sebastian Stober; Avtial Sternin; Adrian M. Owen; Jessica A. Grahn (CoRR, 2015)

Brain Beats: Tempo Extraction from EEG Data. - Sebastian Stober; Thomas Prätzlich; Meinard Müller (ISMIR, 2016)

Learning discriminative features from electroencephalography recordings by encoding similarity constraints. - Sebastian Stober (ICASSP, 2017)

Exploring Large Movie Collections: Comparing Visual Berrypicking and Traditional Browsing. - Thomas Low; Christian Hentschel; Sebastian Stober; Harald Sack; Andreas Nürnberger (MMM (2), 2017)

Transfer Learning for Speech Recognition on a Budget. - Julius Kunze; Louis Kirsch; Ilia Kurenkov; Andreas Krug; Jens Johannsmeier; Sebastian Stober (Rep4NLP@ACL, 2017)

Model-Based Frameworks for User Adapted Information Exploration: An Overview. - Michael Kotzyba; Tatiana Gossen; Sebastian Stober; Andreas Nürnberger (Companion Technology, 2017)

Introspection for convolutional automatic speech recognition. - Andreas Krug; Sebastian Stober (BlackboxNLP@EMNLP, 2018)

Shared Generative Representation of Auditory Concepts and EEG to Reconstruct Perceived and Imagined Music. - André Ofner; Sebastian Stober (ISMIR, 2018)

Hybrid Active Inference. - André Ofner; Sebastian Stober (CoRR, 2018)

Window-Based Neural Tagging for Shallow Discourse Argument Labeling. - René Knaebel; Manfred Stede; Sebastian Stober (CoNLL, 2019)

Hybrid Variational Predictive Coding as a Bridge between Human and Artificial Cognition. - André Ofner; Sebastian Stober (ALIFE, 2019)

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 (ISMIR, 2019)

Visualizing Deep Neural Networks for Speech Recognition with Learned Topographic Filter Maps. - Andreas Krug; Sebastian Stober (CoRR, 2019)

Analyzing Regions of Safety for Handling Shared Data in Cooperative Systems. - Georg Jäger; Johannes Schleiss; Sasiporn Usanavasin; Sebastian Stober; Sebastian Zug (ETFA, 2020)

Modeling perception with hierarchical prediction: Auditory segmentation with deep predictive coding locates candidate evoked potentials in EEG. - André Ofner; Sebastian Stober (ISMIR, 2020)

PredNet and Predictive Coding: A Critical Review. - Roshan Prakash Rane; Edit Szügyi; Vageesh Saxena; André Ofner; Sebastian Stober (ICMR, 2020)

Balancing Active Inference and Active Learning with Deep Variational Predictive Coding for EEG. - André Ofner; Sebastian Stober (SMC, 2020)

Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models. - Andreas Krug; Sebastian Stober (CoRR, 2020)

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 (CoRR, 2020)

Perception-Aware Losses Facilitate CT Denoising and Artifact Removal. - Suhita Ghosh; Andreas Krug; Georg Rose; Sebastian Stober (ICHMS, 2021)

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 001; Marko Rak (Artif. Intell. Medicine, 2021)

Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data. - Indrani Sarkar; Indranil Maji; Charitha Omprakash; Sebastian Stober; Sanja Mikulovic; Pavol Bauer (CoRR, 2021)

Predictive coding, precision and natural gradients. - André Ofner; Raihan Kabir Ratul; Suhita Ghosh; Sebastian Stober (CoRR, 2021)

PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding. - André Ofner; Sebastian Stober (CoRR, 2021)

Differentiable Generalised Predictive Coding. - André Ofner; Sebastian Stober (CoRR, 2021)

Protecting Student Data in ML Pipelines: An Overview of Privacy-Preserving ML. - Johannes Schleiss; Kolja Günther; Sebastian Stober (AIED (2), 2022)

Neural-Gas VAE. - Jan-Ole Perschewski; Sebastian Stober (ICANN (1), 2022)

Towards Patient Specific Reconstruction Using Perception-Aware CNN and Planning CT as Prior. - Suhita Ghosh; Philipp Ernst; Georg Rose; Andreas Nürnberger; Sebastian Stober (ISBI, 2022)

Visualizing Deep Neural Networks with Topographic Activation Maps. - Andreas Krug; Raihan Kabir Ratul; Sebastian Stober (CoRR, 2022)

Learning Continuous Rotation Canonicalization with Radial Beam Sampling. - Johann Schmidt; Sebastian Stober (CoRR, 2022)

Visualizing Bias in Activations of Deep Neural Networks as Topographic Maps. - Valerie Krug; Christopher Olson; Sebastian Stober (AEQUITAS@ECAI, 2023)

Trustworthy Academic Risk Prediction with Explainable Boosting Machines. - Vegenshanti Dsilva; Johannes Schleiss; Sebastian Stober (AIED, 2023)

How reliable are posterior class probabilities in automatic music classification? - Hanna M. Lukashevich; Sascha Grollmisch; Jakob Abeßer; Sebastian Stober; Joachim Bös (Audio Mostly Conference, 2023)

Visualizing Deep Neural Networks with Topographic Activation Maps. - Valerie Krug; Raihan Kabir Ratul; Christopher Olson; Sebastian Stober (HHAI, 2023)

Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion. - Suhita Ghosh; Arnab Das; Yamini Sinha; Ingo Siegert; Tim Polzehl; Sebastian Stober (INTERSPEECH, 2023)

Relation of Activity and Confidence When Training Deep Neural Networks. - Valerie Krug; Christopher Olson; Sebastian Stober (PKDD/ECML Workshops (2), 2023)

StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. - Arnab Das; Suhita Ghosh; Tim Polzehl; Ingo Siegert; Sebastian Stober (SSW, 2023)

StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. - Arnab Das; Suhita Ghosh; Tim Polzehl; Sebastian Stober (CoRR, 2023)

Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses. - Suhita Ghosh; Yamini Sinha; Ingo Siegert; Sebastian Stober (CoRR, 2023)

PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN. - Arnab Das; Suhita Ghosh; Sebastian Stober (CoRR, 2023)

Guidance to Noise Simulation in X-ray Imaging. - Dominik Eckert; Magdalena Herbst; Julia Wicklein; Christopher Syben; Ludwig Ritschl; Steffen Kappler; Sebastian Stober (Bildverarbeitung für die Medizin, 2024)

Hybrid Symbolic-Waveform Modeling of Music - Opportunities and Challenges. - Jens Johannsmeier; Sebastian Stober (CREAI@ECAI, 2024)

T-DVAE: A Transformer-Based Dynamical Variational Autoencoder for Speech. - Jan-Ole Perschewski; Sebastian Stober (ICANN (7), 2024)

Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers. - Johann Schmidt; Sebastian Stober (ICML, 2024)

Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example. - Suhita Ghosh; Mélanie Jouaiti; Arnab Das; Yamini Sinha; Tim Polzehl; Ingo Siegert; Sebastian Stober (INTERSPEECH, 2024)

Active Learning with the nnUNet and Sample Selection with Uncertainty-Aware Submodular Mutual Information Measure. - Bernhard Föllmer; Kenrick Schulze; Christian Wald; Sebastian Stober; Wojciech Samek; Marc Dewey (MIDL, 2024)

Pursuing the Perfect Projection: A Projection Pursuit Framework for Deep Learning. - Jan-Ole Perschewski; Johann Schmidt; Sebastian Stober (WSOM+, 2024)

StyleX: A Trainable Metric for X-ray Style Distances. - Dominik Eckert; Christopher Syben; Christian Hümmer; Ludwig Ritschl; Steffen Kappler; Sebastian Stober (CoRR, 2024)

Integrating AI Education in Disciplinary Engineering Fields: Towards a System and Change Perspective. - Johannes Schleiss; Aditya Johri; Sebastian Stober (CoRR, 2024)

Improving Voice Quality in Speech Anonymization With Just Perception-Informed Losses. - Suhita Ghosh; Tim Thiele; Frederic Lorbeer; Frank Dreyer; Sebastian Stober (CoRR, 2024)

TransferLight: Zero-Shot Traffic Signal Control on any Road-Network. - Johann Schmidt; Frank Dreyer; Sayed Abid Hashimi; Sebastian Stober (CoRR, 2024)

Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. - Soumick Chatterjee; Fatima Saad; Chompunuch Sarasaen; Suhita Ghosh; Valerie Krug; Rupali Khatun; Rahul Mishra; Nirja Desai; Petia Radeva; Georg Rose; Sebastian Stober; Oliver Speck; et al. (J. Imaging, 2024)

An Interpretable X-Ray Style Transfer Via Trainable Local Laplacian Filter. - Dominik Eckert; Ludwig Ritschl; Christopher Syben; Christian Hümmer; Julia Wicklein; Marcel Beister; Steffen Kappler; Sebastian Stober (ISBI, 2025)

Generative AI Training and Copyright Law. - Tim W. Dornis; Sebastian Stober (CoRR, 2025)

Assessing Intersectional Bias in Representations of Pre-Trained Image Recognition Models. - Valerie Krug; Sebastian Stober (CoRR, 2025)

StutterCut: Uncertainty-Guided Normalised Cut for Dysfluency Segmentation. - Suhita Ghosh; Mélanie Jouaiti; Jan-Ole Perschewski; Sebastian Stober (CoRR, 2025)

Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts. - Johannes Schleiss; Anke Manukjan; Michelle Ines Bieber; Sebastian Lang 001; Sebastian Stober (CoRR, 2025)