Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance. - N. Jeremy Hill; Jason Farquhar; Suzanna Martens; Felix Bießmann; Bernhard Schölkopf (NIPS, 2008)

Analysing Dependency Dynamics in Web Data. - Felix Bießmann; Andreas Harth (AAAI Spring Symposium: Linked Data Meets Artificial Intelligence, 2010)

Temporal kernel CCA and its application in multimodal neuronal data analysis. - Felix Bießmann; Frank C. Meinecke; Arthur Gretton; Alexander Rauch; Gregor Rainer; Nikos K. Logothetis; Klaus-Robert Müller (Mach. Learn., 2010)

Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information. - Felix Bießmann; Yusuke Murayama; Nikos K. Logothetis; Klaus-Robert Müller; Frank C. Meinecke (MLINI, 2011)

Canonical Trends: Detecting Trend Setters in Web Data. - Felix Bießmann; Jens-Michalis Papaioannou; Mikio L. Braun; Andreas Harth (ICML, 2012)

Quantifying spatiotemporal dynamics of twitter replies to news feeds. - Felix Bießmann; Jens-Michalis Papaioannou; Andreas Harth; M. L. Jugel; Klaus-Robert Müller; Mikio L. Braun (MLSP, 2012)

Simultaneous and proportional control of 2D wrist movements with myoelectric signals. - Janne Mathias Hahne; Hubertus Rehbaum; Felix Bießmann; Frank C. Meinecke; Klaus-Robert Müller; Ning Jiang 001; Dario Farina; Lucas C. Parra (MLSP, 2012)

Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions. - Felix Bießmann; Yusuke Murayama; Nikos K. Logothetis; Klaus-Robert Müller; Frank C. Meinecke (NeuroImage, 2012)

Data-driven analysis for multimodal neuroimaging. - Felix Bießmann (2012)

Integration of Multivariate Data Streams With Bandpower Signals. - Sven Dähne; Felix Bießmann; Frank C. Meinecke; Jan Mehnert; Siamac Fazli; Klaus-Robert Müller (IEEE Trans. Multim., 2013)

Multimodal integration of electrophysiological and hemodynamic signals. - Sven Dähne; Felix Bießmann; Frank C. Meinecke; Jan Mehnert; Siamac Fazli; Klaus-Robert Müller (BCI, 2014)

Reconstruction of hand movements from EEG signals based on non-linear regression. - Jeong-Hun Kim; Felix Bießmann; Seong-Whan Lee (BCI, 2014)

Data-driven multisubject neuroimaging analyses for naturalistic stimuli. - Felix Bießmann; Michael Gaebler; Jan-Peter Lamke; Ui Jong Ju; Stefan Hetzer; Christian Wallraven; Klaus-Robert Müller (PRNI, 2014)

Parameter interpretation, regularization and source localization in multivariate linear models. - Stefan Haufe; Frank C. Meinecke; Kai Görgen; Sven Dähne; John-Dylan Haynes; Benjamin Blankertz; Felix Bießmann (PRNI, 2014)

Single-trials ERPs predict correct answers to intelligence test questions. - Achim Leydecker; Felix Bießmann; Siamac Fazli (PRNI, 2014)

Stereoscopic depth increases intersubject correlations of brain networks. - Michael Gaebler; Felix Bießmann; Jan-Peter Lamke; Klaus-Robert Müller; Henrik Walter; Stefan Hetzer (NeuroImage, 2014)

On the interpretation of weight vectors of linear models in multivariate neuroimaging. - Stefan Haufe; Frank C. Meinecke; Kai Görgen; Sven Dähne; John-Dylan Haynes; Benjamin Blankertz; Felix Bießmann (NeuroImage, 2014)

EEG-based neural decoding of Intelligence Questions. - Isabella Schlattner; Achim Leydecker; Felix Bießmann; Yiyu Chen 002; Siamac Fazli (BCI, 2015)

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. - Sven Dähne; Felix Bießmann; Wojciech Samek; Stefan Haufe; Dominique Goltz; Christopher Gundlach; Arno Villringer; Siamac Fazli; Klaus-Robert Müller (Proc. IEEE, 2015)

Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces. - Siamac Fazli; Sven Dähne; Wojciech Samek; Felix Bießmann; Klaus-Robert Müller (Proc. IEEE, 2015)

Structural Patterns in the Rise of Germany's New Right on Facebook. - Sebastian Schelter; Felix Bießmann; Malisa Zobel; Nedelina Teneva (ICDM Workshops, 2016)

Automating Political Bias Prediction. - Felix Bießmann (CoRR, 2016)

Doubly stochastic large scale kernel learning with the empirical kernel map. - Nikolaas Steenbergen; Sebastian Schelter; Felix Bießmann (CoRR, 2016)

"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data. - Felix Bießmann; David Salinas; Sebastian Schelter; Philipp Schmidt 002; Dustin Lange (CIKM, 2018)

On Challenges in Machine Learning Model Management. - Sebastian Schelter; Felix Bießmann; Tim Januschowski; David Salinas; Stephan Seufert; Gyuri Szarvas (IEEE Data Eng. Bull., 2018)

Automating Large-Scale Data Quality Verification. - Sebastian Schelter; Dustin Lange; Philipp Schmidt 002; Meltem Celikel; Felix Bießmann; Andreas Grafberger (Proc. VLDB Endow., 2018)

Differential Data Quality Verification on Partitioned Data. - Sebastian Schelter; Stefan Grafberger; Philipp Schmidt 002; Tammo Rukat; Mario Kießling; Andrey Taptunov; Felix Bießmann; Dustin Lange (ICDE, 2019)

Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data. - Sergey Redyuk; Sebastian Schelter; Tammo Rukat; Volker Markl; Felix Bießmann (HILDA@SIGMOD, 2019)

Unit Testing Data with Deequ. - Sebastian Schelter; Felix Bießmann; Dustin Lange; Tammo Rukat; Philipp Schmidt 002; Stephan Seufert; Pierre Brunelle; Andrey Taptunov (SIGMOD Conference, 2019)

Quantifying Interpretability and Trust in Machine Learning Systems. - Philipp Schmidt 002; Felix Bießmann (CoRR, 2019)

A psychophysics approach for quantitative comparison of interpretable computer vision models. - Felix Bießmann; Dionysius Irza Refiano (CoRR, 2019)

DataWig: Missing Value Imputation for Tables. - Felix Bießmann; Tammo Rukat; Philipp Schmidt 002; Prathik Naidu; Sebastian Schelter; Andrey Taptunov; Dustin Lange; David Salinas (J. Mach. Learn. Res., 2019)

Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias. - Philipp Schmidt 002; Felix Bießmann (CD-MAKE, 2020)

Inter-subject correlations during natural viewing: A filter-bank approach. - Arslan Gait; Vladimir Duisenbinov; Min-Ho Lee; Felix Bießmann; Siamac Fazli (EMBC, 2020)

Learning to Validate the Predictions of Black Box Classifiers on Unseen Data. - Sebastian Schelter; Tammo Rukat; Felix Bießmann (SIGMOD Conference, 2020)

Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. - Anko Börner; Heinz-Wilhelm Hübers; Odej Kao; Florian Schmidt 006; Soeren Becker 001; Joachim Denzler; Daniel Matolin; David Haber; Sergio Lucia; Wojciech Samek; Rudolph Triebel; Sascha Eichstädt; et al. (CoRR, 2020)

Transparency and trust in artificial intelligence systems. - Philipp Schmidt 002; Felix Bießmann; Timm Teubner (J. Decis. Syst., 2020)

JENGA - A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models. - Sebastian Schelter; Tammo Rukat; Felix Biessmann (EDBT, 2021)

Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study. - Felix Neutatz; Felix Biessmann; Ziawasch Abedjan (SIGMOD Conference, 2021)

An Interactive Garment for Orchestra Conducting: IoT-enabled Textile & Machine Learning to Direct Musical Performance. - Berit Greinke; Giorgia Petri; Pauline Vierne; Paul Biessmann; Alexandra Börner; Kaspar Schleiser; Emmanuel Baccelli; Claas Krause; Christopher Verworner; Felix Biessmann (TEI, 2021)

A Turing Test for Transparency. - Felix Biessmann; Viktor Treu (CoRR, 2021)

Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated. - Felix Biessmann; Dionysius Irza Refiano (CoRR, 2021)

More Than Words: Towards Better Quality Interpretations of Text Classifiers. - Muhammad Bilal Zafar; Philipp Schmidt 002; Michele Donini; Cédric Archambeau; Felix Biessmann; Sanjiv Ranjan Das; Krishnaram Kenthapadi (CoRR, 2021)

Automated Data Validation in Machine Learning Systems. - Felix Biessmann; Jacek Golebiowski; Tammo Rukat; Dustin Lange; Philipp Schmidt 002 (IEEE Data Eng. Bull., 2021)

A Benchmark for Data Imputation Methods. - Sebastian Jäger; Arndt Allhorn; Felix Bießmann (Frontiers Big Data, 2021)

Changes in Policy Preferences in German Tweets During the COVID Pandemic. - Felix Biessmann (SocInfo, 2022)

Search Filter Ranking with Language-Aware Label Embeddings. - Jacek Golebiowski; Felice Antonio Merra; Ziawasch Abedjan; Felix Biessmann (WWW (Companion Volume), 2022)

GreenDB: Toward a Product-by-Product Sustainability Database. - Sebastian Jäger; Jessica Greene; Max Jakob; Ruben Korenke; Tilman Santarius; Felix Biessmann (CoRR, 2022)

Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations. - Teodor Chiaburu; Felix Biessmann; Frank Haußer (CoRR, 2022)

GreenDB - A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods. - Alexander Flick; Sebastian Jäger; Jessica Adriana Sanchez Garcia; Kaspar von den Driesch; Karl Brendel; Felix Biessmann (CoRR, 2022)

Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data. - Alexander Flick; Sebastian Jäger; Ivana Trajanovska; Felix Biessmann (ECIR (3), 2023)

CycleSense: Detecting near miss incidents in bicycle traffic from mobile motion sensors. - Ahmet-Serdar Karakaya; Thomas Ritter; Felix Biessmann; David Bermbach (Pervasive Mob. Comput., 2023)

From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictive Performance. - Sebastian Jäger; Felix Biessmann (AISTATS, 2024)

Generating Synthetic Satellite Imagery for Rare Objects: An Empirical Comparison of Models and Metrics. - Tuong Vy Nguyen; Johannes Hoster; Alexander Glaser; Kristian Hildebrand; Felix Biessmann (PI-AI@KI, 2024)

Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation. - Vipin Singh 003; Tianheng Ling; Teodor Chiaburu; Felix Biessmann (PI-AI@KI, 2024)

CoProNN: Concept-Based Prototypical Nearest Neighbors for Explaining Vision Models. - Teodor Chiaburu; Frank Haußer; Felix Bießmann (xAI (1), 2024)

Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows. - Teodor Chiaburu; Felix Biessmann (CoRR, 2024)

Generating Synthetic Satellite Imagery With Deep-Learning Text-to-Image Models - Technical Challenges and Implications for Monitoring and Verification. - Tuong Vy Nguyen; Alexander Glaser; Felix Biessmann (CoRR, 2024)

Using Game Engines and Machine Learning to Create Synthetic Satellite Imagery for a Tabletop Verification Exercise. - Johannes Hoster; Sara Al-Sayed; Felix Biessmann; Alexander Glaser; Kristian Hildebrand; Igor Moric; Tuong Vy Nguyen (CoRR, 2024)

Multisensor Data Fusion for Automatized Insect Monitoring (KInsecta). - Martin Tschaikner; Danja Brandt; Henning Schmidt; Felix Bießmann; Teodor Chiaburu; Ilona Schrimpf; Thomas Schrimpf; Alexandra Stadel; Frank Haußer; Ingeborg E. Beckers (CoRR, 2024)

Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization. - Pallavi Mitra; Felix Biessmann (CoRR, 2024)

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors. - Zhaolan Huang; Adrien Tousnakhoff; Polina Kozyr; Roman Rehausen; Felix Bießmann; Robert Lachlan; Cédric Adjih; Emmanuel Baccelli (CoRR, 2024)

The Influence of Faulty Labels in Data Sets on Human Pose Estimation. - Arnold Schwarz; Levente Hernadi; Felix Bießmann; Kristian Hildebrand (CoRR, 2024)

Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty. - Teodor Chiaburu; Frank Haußer; Felix Bießmann (CoRR, 2024)

Uncertainty in XAI: Human Perception and Modeling Approaches. - Teodor Chiaburu; Frank Haußer; Felix Bießmann (Mach. Learn. Knowl. Extr., 2024)

Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems. - Cem Kozcuer; Anne Mollen; Felix Bießmann (Minds Mach., 2024)

Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators. - Teodor Chiaburu; Felix Bießmann; Frank Haußer (CoRR, 2025)

Evaluating Time Series Models for Urban Wastewater Management: Predictive Performance, Model Complexity and Resilience. - Vipin Singh 003; Tianheng Ling; Teodor Chiaburu; Felix Biessmann (CoRR, 2025)

SoilNet: A Multimodal Multitask Model for Hierarchical Classification of Soil Horizons. - Teodor Chiaburu; Vipin Singh 003; Frank Haußer; Felix Bießmann (CoRR, 2025)

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management. - Tianheng Ling; Vipin Singh 003; Chao Qian 009; Felix Biessmann; Gregor Schiele (CoRR, 2025)