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ORCIDSebastian Stober
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- affiliation: Otto von Guericke University, Magdeburg, Germany
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2020 – today
- 2024
[j5]Soumick Chatterjee
, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Valerie Krug, Rupali Khatun, Rahul Mishra, Nirja Desai, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images. J. Imaging 10(2): 45 (2024)- [c54]Dominik Eckert, Magdalena Herbst, Julia Wicklein, Christopher Syben, Ludwig Ritschl, Steffen Kappler, Sebastian Stober:
Guidance to Noise Simulation in X-ray Imaging. Bildverarbeitung für die Medizin 2024: 184-189 - [c53]Jens Johannsmeier, Sebastian Stober:
Hybrid Symbolic-Waveform Modeling of Music - Opportunities and Challenges. CREAI@ECAI 2024: 138-148 - [c52]Jan-Ole Perschewski, Sebastian Stober:
T-DVAE: A Transformer-Based Dynamical Variational Autoencoder for Speech. ICANN (7) 2024: 33-46 - [c51]Johann Schmidt, Sebastian Stober:
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers. ICML 2024 - [i19]Johann Schmidt, Sebastian Stober:
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers. CoRR abs/2405.03730 (2024) - [i18]Dominik Eckert, Christopher Syben, Christian Hümmer, Ludwig Ritschl, Steffen Kappler, Sebastian Stober:
StyleX: A Trainable Metric for X-ray Style Distances. CoRR abs/2405.14718 (2024) - 2023
- [c50]Valerie Krug, Christopher Olson, Sebastian Stober:
Visualizing Bias in Activations of Deep Neural Networks as Topographic Maps. AEQUITAS@ECAI 2023 - [c49]Vegenshanti Dsilva, Johannes Schleiss, Sebastian Stober:
Trustworthy Academic Risk Prediction with Explainable Boosting Machines. AIED 2023: 463-475 - [c48]Hanna M. Lukashevich, Sascha Grollmisch, Jakob Abeßer, Sebastian Stober, Joachim Bös:
How reliable are posterior class probabilities in automatic music classification? Audio Mostly Conference 2023: 45-50 - [c47]Valerie Krug, Raihan Kabir Ratul, Christopher Olson, Sebastian Stober:
Visualizing Deep Neural Networks with Topographic Activation Maps. HHAI 2023: 138-152 - [c46]Suhita Ghosh, Arnab Das, Yamini Sinha, Ingo Siegert, Tim Polzehl, Sebastian Stober:
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion. INTERSPEECH 2023: 2093-2097 - [c45]Arnab Das, Suhita Ghosh, Tim Polzehl, Ingo Siegert, Sebastian Stober:
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. SSW 2023: 81-87 - [i17]Suhita Ghosh, Arnab Das, Yamini Sinha, Ingo Siegert, Tim Polzehl, Sebastian Stober:
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion. CoRR abs/2309.07586 (2023) - [i16]Arnab Das, Suhita Ghosh, Tim Polzehl, Sebastian Stober:
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings. CoRR abs/2309.07592 (2023) - [i15]Suhita Ghosh, Yamini Sinha, Ingo Siegert, Sebastian Stober:
Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses. CoRR abs/2309.08263 (2023) - [i14]Arnab Das, Suhita Ghosh, Sebastian Stober:
PI-RADS v2 Compliant Automated Segmentation of Prostate Zones Using co-training Motivated Multi-task Dual-Path CNN. CoRR abs/2309.12970 (2023) - 2022
- [c44]Johannes Schleiss, Kolja Günther, Sebastian Stober:
Protecting Student Data in ML Pipelines: An Overview of Privacy-Preserving ML. AIED (2) 2022: 532-536 - [c43]Jan-Ole Perschewski, Sebastian Stober:
Neural-Gas VAE. ICANN (1) 2022: 292-303 - [c42]Suhita Ghosh, Philipp Ernst, Georg Rose, Andreas Nürnberger, Sebastian Stober:
Towards Patient Specific Reconstruction Using Perception-Aware CNN and Planning CT as Prior. ISBI 2022: 1-5 - [i13]Andreas Krug, Raihan Kabir Ratul, Sebastian Stober:
Visualizing Deep Neural Networks with Topographic Activation Maps. CoRR abs/2204.03528 (2022) - [i12]Johann Schmidt, Sebastian Stober:
Learning Continuous Rotation Canonicalization with Radial Beam Sampling. CoRR abs/2206.10690 (2022) - 2021
- [j4]Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak:
Uncertainty-aware temporal self-learning (UATS): Semi-supervised learning for segmentation of prostate zones and beyond. Artif. Intell. Medicine 116: 102073 (2021) - [c41]Suhita Ghosh, Andreas Krug, Georg Rose, Sebastian Stober:
Perception-Aware Losses Facilitate CT Denoising and Artifact Removal. ICHMS 2021: 1-6 - [i11]Anneke Meyer, Suhita Ghosh, Daniel Schindele, Martin Schostak, Sebastian Stober, Christian Hansen, Marko Rak:
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond. CoRR abs/2104.03840 (2021) - [i10]Indrani Sarkar, Indranil Maji, Charitha Omprakash, Sebastian Stober, Sanja Mikulovic, Pavol Bauer:
Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data. CoRR abs/2106.12993 (2021) - [i9]André Ofner, Raihan Kabir Ratul, Suhita Ghosh, Sebastian Stober:
Predictive coding, precision and natural gradients. CoRR abs/2111.06942 (2021) - [i8]André Ofner, Sebastian Stober:
PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding. CoRR abs/2111.08792 (2021) - [i7]André Ofner, Sebastian Stober:
Differentiable Generalised Predictive Coding. CoRR abs/2112.03378 (2021) - 2020
- [c40]Georg Jäger, Johannes Schleiss, Sasiporn Usanavasin, Sebastian Stober, Sebastian Zug:
Analyzing Regions of Safety for Handling Shared Data in Cooperative Systems. ETFA 2020: 628-635 - [c39]André Ofner, Sebastian Stober:
Modeling perception with hierarchical prediction: Auditory segmentation with deep predictive coding locates candidate evoked potentials in EEG. ISMIR 2020: 566-573 - [c38]Roshan Prakash Rane, Edit Szügyi, Vageesh Saxena, André Ofner, Sebastian Stober:
PredNet and Predictive Coding: A Critical Review. ICMR 2020: 233-241 - [c37]André Ofner, Sebastian Stober:
Balancing Active Inference and Active Learning with Deep Variational Predictive Coding for EEG. SMC 2020: 3839-3844 - [i6]Andreas Krug, Sebastian Stober:
Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models. CoRR abs/2002.08125 (2020) - [i5]Soumick Chatterjee, Fatima Saad, Chompunuch Sarasaen, Suhita Ghosh, Rupali Khatun, Petia Radeva, Georg Rose, Sebastian Stober, Oliver Speck, Andreas Nürnberger:
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images. CoRR abs/2006.02570 (2020)
2010 – 2019
- 2019
- [c36]René Knaebel, Manfred Stede, Sebastian Stober:
Window-Based Neural Tagging for Shallow Discourse Argument Labeling. CoNLL 2019: 768-777 - [c35]André Ofner, Sebastian Stober:
Hybrid Variational Predictive Coding as a Bridge between Human and Artificial Cognition. ALIFE 2019: 68-69 - [c34]Thomas Low, Christian Hentschel, Sayantan Polley, Anustup Das, Harald Sack, Andreas Nürnberger, Sebastian Stober:
The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR Publications. ISMIR 2019: 754-760 - [i4]Andreas Krug, Sebastian Stober:
Visualizing Deep Neural Networks for Speech Recognition with Learned Topographic Filter Maps. CoRR abs/1912.04067 (2019) - 2018
- [c33]Andreas Krug, Sebastian Stober:
Introspection for convolutional automatic speech recognition. BlackboxNLP@EMNLP 2018: 187-199 - [c32]André Ofner, Sebastian Stober:
Shared Generative Representation of Auditory Concepts and EEG to Reconstruct Perceived and Imagined Music. ISMIR 2018: 392-399 - [i3]André Ofner, Sebastian Stober:
Hybrid Active Inference. CoRR abs/1810.02647 (2018) - 2017
- [c31]Sebastian Stober:
Learning discriminative features from electroencephalography recordings by encoding similarity constraints. ICASSP 2017: 6175-6179 - [c30]Thomas Low, Christian Hentschel, Sebastian Stober, Harald Sack, Andreas Nürnberger:
Exploring Large Movie Collections: Comparing Visual Berrypicking and Traditional Browsing. MMM (2) 2017: 198-208 - [c29]Julius Kunze, Louis Kirsch, Ilia Kurenkov, Andreas Krug, Jens Johannsmeier, Sebastian Stober:
Transfer Learning for Speech Recognition on a Budget. Rep4NLP@ACL 2017: 168-177 - [p4]Michael Kotzyba, Tatiana Gossen, Sebastian Stober, Andreas Nürnberger:
Model-Based Frameworks for User Adapted Information Exploration: An Overview. Companion Technology 2017: 37-56 - [i2]Julius Kunze, Louis Kirsch, Ilia Kurenkov, Andreas Krug, Jens Johannsmeier, Sebastian Stober:
Transfer Learning for Speech Recognition on a Budget. CoRR abs/1706.00290 (2017) - 2016
- [c28]Sebastian Stober, Thomas Prätzlich, Meinard Müller:
Brain Beats: Tempo Extraction from EEG Data. ISMIR 2016: 276-282 - 2015
- [c27]Sebastian Stober, Avital Sternin, Adrian M. Owen, Jessica A. Grahn:
Towards Music Imagery Information Retrieval: Introducing the OpenMIIR Dataset of EEG Recordings from Music Perception and Imagination. ISMIR 2015: 763-769 - [i1]Sebastian Stober, Avtial Sternin, Adrian M. Owen, Jessica A. Grahn:
Deep Feature Learning for EEG Recordings. CoRR abs/1511.04306 (2015) - 2014
- [c26]Tatiana Gossen, René Müller, Sebastian Stober, Andreas Nürnberger:
Search result visualization with characters for children. IDC 2014: 125-134 - [c25]Sebastian Stober, Daniel J. Cameron, Jessica A. Grahn:
Does the beat go on?: identifying rhythms from brain waves recorded after their auditory presentation. Audio Mostly Conference 2014: 23:1-23:8 - [c24]Sebastian Stober, Daniel J. Cameron, Jessica A. Grahn:
Classifying EEG Recordings of Rhythm Perception. ISMIR 2014: 649-654 - [c23]Sebastian Stober, Daniel J. Cameron, Jessica A. Grahn:
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings. NIPS 2014: 1449-1457 - [c22]Thomas Low, Christian Hentschel, Sebastian Stober, Harald Sack, Andreas Nürnberger:
Visual berrypicking in large image collections. NordiCHI 2014: 1043-1046 - [e3]Andreas Nürnberger, Sebastian Stober, Birger Larsen, Marcin Detyniecki:
Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation, 10th International Workshop, AMR 2012, Copenhagen, Denmark, October 24-25, 2012, Revised Selected Papers. Lecture Notes in Computer Science 8382, Springer 2014, ISBN 978-3-319-12092-8 [contents] - 2013
- [j3]Amelie Anglade, Eric Humphrey, Erik M. Schmidt, Sebastian Stober, Mohamed Sordo:
Demos and Late-Breaking Session of the Thirteenth International Society for Music Information Retrieval Conference (ISMIR 2012). Comput. Music. J. 37(2): 91-93 (2013) - [j2]Sebastian Stober, Andreas Nürnberger:
Adaptive music retrieval-a state of the art. Multim. Tools Appl. 65(3): 467-494 (2013) - [c21]Tatiana Gossen, Michael Kotzyba, Sebastian Stober, Andreas Nürnberger:
Sprachgesteuerte Suchwerkzeuge für Junge Nutzer. GI-Jahrestagung 2013: 113-115 - [c20]Sebastian Stober, Thomas Low, Tatiana Gossen, Andreas Nürnberger:
Incremental Visualization of Growing Music Collections. ISMIR 2013: 433-438 - [e2]Marcin Detyniecki, Ana García-Serrano, Andreas Nürnberger, Sebastian Stober:
Adaptive Multimedia Retrieval. Large-Scale Multimedia Retrieval and Evaluation - 9th International Workshop, AMR 2011, Barcelona, Spain, July 18-19, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7836, Springer 2013, ISBN 978-3-642-37424-1 [contents] - 2012
- [c19]Daniel Wolff, Sebastian Stober, Andreas Nürnberger, Tillman Weyde:
A Systematic Comparison of Music Similarity Adaptation Approaches. ISMIR 2012: 103-108 - [p3]Markus Schedl, Sebastian Stober, Emilia Gómez, Nicola Orio, Cynthia C. S. Liem:
User-Aware Music Retrieval. Multimodal Music Processing 2012: 135-156 - [p2]Sebastian Stober, Stefan Haun, Andreas Nürnberger:
Bisociative Music Discovery and Recommendation. Bisociative Knowledge Discovery 2012: 472-483 - 2011
- [b1]Sebastian Stober:
Adaptive methods for user-centered organization of music collections. Otto von Guericke University Magdeburg, 2011, ISBN 978-3-8439-0229-8, pp. 1-237 - [c18]Sebastian Stober, Andreas Nürnberger:
An Experimental Comparison of Similarity Adaptation Approaches. Adaptive Multimedia Retrieval 2011: 96-113 - [c17]Sebastian Stober, Andreas Nürnberger:
Analyzing the impact of data vectorization on distance relations. ICME 2011: 1-6 - [c16]Sophie Stellmach, Sebastian Stober, Andreas Nürnberger, Raimund Dachselt:
Designing gaze-supported multimodal interactions for the exploration of large image collections. NGCA 2011: 1 - [c15]Sebastian Stober:
Adaptive Distance Measures for Exploration and Structuring of Music Collections. Semantic Audio 2011 - [p1]Sebastian Stober:
Adaptive Verfahren zur nutzerzentrierten Organisation von Musiksammlungen. Ausgezeichnete Informatikdissertationen 2011: 211-220 - [e1]Marcin Detyniecki, Peter Knees, Andreas Nürnberger, Markus Schedl, Sebastian Stober:
Adaptive Multimedia Retrieval. Context, Exploration, and Fusion - 8th International Workshop, AMR 2010, Linz, Austria, August 17-18, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6817, Springer 2011, ISBN 978-3-642-27168-7 [contents] - 2010
- [c14]Sebastian Stober, Andreas Nürnberger:
Similarity Adaptation in an Exploratory Retrieval Scenario. Adaptive Multimedia Retrieval 2010: 144-158 - [c13]Sebastian Stober, Andreas Nürnberger:
MusicGalaxy: A Multi-focus Zoomable Interface for Multi-facet Exploration of Music Collections. CMMR 2010: 273-302 - [c12]Sebastian Stober, Christian Hentschel, Andreas Nürnberger:
Multi-facet exploration of image collections with an adaptive multi-focus zoomable interface. IJCNN 2010: 1-8 - [c11]Sebastian Stober, Christian Hentschel, Andreas Nürnberger:
Evaluation of adaptive SpringLens: a multi-focus interface for exploring multimedia collections. NordiCHI 2010: 785-788
2000 – 2009
- 2009
- [j1]Sebastian Stober, Andreas Nürnberger:
User-Adaptive Music Information Retrieval. Künstliche Intell. 23(2): 54-57 (2009) - [c10]Korinna Bade, Andreas Nürnberger, Sebastian Stober, Jörg Garbers, Frans Wiering:
Supporting Folk-Song Research by Automatic Metric Learning and Ranking. ISMIR 2009: 741-746 - 2008
- [c9]Sebastian Stober, Andreas Nürnberger:
Towards User-Adaptive Structuring and Organization of Music Collections. Adaptive Multimedia Retrieval 2008: 53-65 - [c8]Johannes Reinhard, Sebastian Stober, Andreas Nürnberger:
Enhancing chord classification through neighbourhood histograms. CBMI 2008: 33-40 - 2007
- [c7]Christian Hentschel, Sebastian Stober, Andreas Nürnberger, Marcin Detyniecki:
Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation. Adaptive Multimedia Retrieval 2007: 45-56 - [c6]Andreas Nürnberger, Sebastian Stober:
User Modelling for Interactive User-Adaptive Collection Structuring. Adaptive Multimedia Retrieval 2007: 95-108 - [c5]Alexander Duda, Andreas Nürnberger, Sebastian Stober:
Towards Query by Singing/Humming on Audio Databases. ISMIR 2007: 331-334 - 2006
- [c4]Sebastian Stober, Andreas Nürnberger:
Context-Based Navigational Support in Hypermedia. AH 2006: 328-332 - [c3]Christian Hentschel, Andreas Nürnberger, Ingo Schmitt, Sebastian Stober:
SAFIRE: Towards Standardized Semantic Rich Image Annotation. Adaptive Multimedia Retrieval 2006: 12-27 - [c2]Sebastian Stober, Andreas Nürnberger:
DAWN - A System for Context-Based Link Recommendation in Web Navigation. KES (1) 2006: 763-770 - 2005
- [c1]Korinna Bade, Ernesto William De Luca, Andreas Nürnberger, Sebastian Stober:
CARSA - An Architecture for the Development of Context Adaptive Retrieval Systems. Adaptive Multimedia Retrieval 2005: 91-101
Coauthor Index
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last updated on 2024-11-08 21:28 CET by the dblp team
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