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ORCIDFelix Bießmann
Felix Biessmann
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2020 – today
- 2024
[j16]Teodor Chiaburu, Frank Haußer
, Felix Bießmann:
Uncertainty in XAI: Human Perception and Modeling Approaches. Mach. Learn. Knowl. Extr. 6(2): 1170-1192 (2024)- [j15]Cem Kozcuer, Anne Mollen, Felix Bießmann:
Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems. Minds Mach. 34(2): 11 (2024) - [c28]Sebastian Jäger, Felix Biessmann:
From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictive Performance. AISTATS 2024: 3394-3402 - [c27]Teodor Chiaburu, Frank Haußer, Felix Bießmann:
CoProNN: Concept-Based Prototypical Nearest Neighbors for Explaining Vision Models. xAI (1) 2024: 69-91 - [i25]Teodor Chiaburu, Felix Biessmann:
Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows. CoRR abs/2401.02465 (2024) - [i24]Tuong Vy Nguyen, Alexander Glaser, Felix Biessmann:
Generating Synthetic Satellite Imagery With Deep-Learning Text-to-Image Models - Technical Challenges and Implications for Monitoring and Verification. CoRR abs/2404.07754 (2024) - [i23]Johannes Hoster, Sara Al-Sayed, Felix Biessmann, Alexander Glaser, Kristian Hildebrand, Igor Moric, Tuong Vy Nguyen:
Using Game Engines and Machine Learning to Create Synthetic Satellite Imagery for a Tabletop Verification Exercise. CoRR abs/2404.11461 (2024) - [i22]Teodor Chiaburu, Frank Haußer, Felix Bießmann:
CoProNN: Concept-based Prototypical Nearest Neighbors for Explaining Vision Models. CoRR abs/2404.14830 (2024) - [i21]Martin Tschaikner, Danja Brandt, Henning Schmidt, Felix Bießmann, Teodor Chiaburu, Ilona Schrimpf, Thomas Schrimpf, Alexandra Stadel, Frank Haußer, Ingeborg E. Beckers:
Multisensor Data Fusion for Automatized Insect Monitoring (KInsecta). CoRR abs/2404.18504 (2024) - [i20]Pallavi Mitra, Felix Biessmann:
Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization. CoRR abs/2407.05788 (2024) - [i19]Zhaolan Huang, Adrien Tousnakhoff, Polina Kozyr, Roman Rehausen, Felix Bießmann, Robert Lachlan, Cédric Adjih, Emmanuel Baccelli:
TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors. CoRR abs/2407.21453 (2024) - [i18]Vipin Singh, Tianheng Ling, Teodor Chiaburu, Felix Biessmann:
Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation. CoRR abs/2408.11619 (2024) - [i17]Tuong Vy Nguyen, Johannes Hoster, Alexander Glaser, Kristian Hildebrand, Felix Biessmann:
Generating Synthetic Satellite Imagery for Rare Objects: An Empirical Comparison of Models and Metrics. CoRR abs/2409.01138 (2024) - [i16]Arnold Schwarz, Levente Hernadi, Felix Bießmann, Kristian Hildebrand:
The Influence of Faulty Labels in Data Sets on Human Pose Estimation. CoRR abs/2409.03887 (2024) - [i15]Teodor Chiaburu, Frank Haußer, Felix Bießmann:
Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty. CoRR abs/2409.17157 (2024) - 2023
- [j14]Ahmet-Serdar Karakaya, Thomas Ritter, Felix Biessmann, David Bermbach:
CycleSense: Detecting near miss incidents in bicycle traffic from mobile motion sensors. Pervasive Mob. Comput. 91: 101779 (2023) - [c26]Alexander Flick, Sebastian Jäger, Ivana Trajanovska, Felix Biessmann:
Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data. ECIR (3) 2023: 230-235 - [i14]Alexander Flick, Sebastian Jäger, Ivana Trajanovska, Felix Biessmann:
Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data. CoRR abs/2302.12139 (2023) - [i13]Felix Biessmann:
Changes in Policy Preferences in German Tweets during the COVID Pandemic. CoRR abs/2308.04444 (2023) - 2022
- [c25]Felix Biessmann:
Changes in Policy Preferences in German Tweets During the COVID Pandemic. SocInfo 2022: 426-435 - [c24]Jacek Golebiowski, Felice Antonio Merra, Ziawasch Abedjan, Felix Biessmann:
Search Filter Ranking with Language-Aware Label Embeddings. WWW (Companion Volume) 2022: 121-125 - [i12]Ahmet-Serdar Karakaya, Thomas Ritter, Felix Biessmann, David Bermbach:
CycleSense: Detecting Near Miss Incidents in Bicycle Traffic from Mobile Motion Sensors. CoRR abs/2204.10416 (2022) - [i11]Sebastian Jäger, Jessica Greene, Max Jakob, Ruben Korenke, Tilman Santarius, Felix Biessmann:
GreenDB: Toward a Product-by-Product Sustainability Database. CoRR abs/2205.02908 (2022) - [i10]Teodor Chiaburu, Felix Biessmann, Frank Haußer:
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations. CoRR abs/2206.07497 (2022) - [i9]Alexander Flick, Sebastian Jäger, Jessica Adriana Sanchez Garcia, Kaspar von den Driesch, Karl Brendel, Felix Biessmann:
GreenDB - A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods. CoRR abs/2207.10733 (2022) - 2021
- [j13]Felix Biessmann, Jacek Golebiowski, Tammo Rukat, Dustin Lange, Philipp Schmidt:
Automated Data Validation in Machine Learning Systems. IEEE Data Eng. Bull. 44(1): 51-65 (2021) - [j12]Sebastian Jäger, Arndt Allhorn, Felix Bießmann:
A Benchmark for Data Imputation Methods. Frontiers Big Data 4: 693674 (2021) - [c23]Sebastian Schelter, Tammo Rukat, Felix Biessmann:
JENGA - A Framework to Study the Impact of Data Errors on the Predictions of Machine Learning Models. EDBT 2021: 529-534 - [c22]Felix Neutatz, Felix Biessmann, Ziawasch Abedjan:
Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study. SIGMOD Conference 2021: 1345-1358 - [c21]Berit Greinke, Giorgia Petri, Pauline Vierne, Paul Biessmann, Alexandra Börner, Kaspar Schleiser, Emmanuel Baccelli, Claas Krause, Christopher Verworner, Felix Biessmann:
An Interactive Garment for Orchestra Conducting: IoT-enabled Textile & Machine Learning to Direct Musical Performance. TEI 2021: 46:1-46:6 - [i8]Felix Biessmann, Viktor Treu:
A Turing Test for Transparency. CoRR abs/2106.11394 (2021) - [i7]Felix Biessmann, Dionysius Irza Refiano:
Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated. CoRR abs/2107.02033 (2021) - [i6]Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, Cédric Archambeau, Felix Biessmann, Sanjiv Ranjan Das, Krishnaram Kenthapadi:
More Than Words: Towards Better Quality Interpretations of Text Classifiers. CoRR abs/2112.12444 (2021) - 2020
- [j11]Philipp Schmidt, Felix Bießmann, Timm Teubner:
Transparency and trust in artificial intelligence systems. J. Decis. Syst. 29(4): 260-278 (2020) - [c20]Philipp Schmidt, Felix Bießmann:
Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias. CD-MAKE 2020: 431-449 - [c19]Arslan Gait, Vladimir Duisenbinov, Min-Ho Lee, Felix Bießmann, Siamac Fazli:
Inter-subject correlations during natural viewing: A filter-bank approach. EMBC 2020: 200-203 - [c18]Sebastian Schelter, Tammo Rukat, Felix Bießmann:
Learning to Validate the Predictions of Black Box Classifiers on Unseen Data. SIGMOD Conference 2020: 1289-1299 - [i5]Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Soeren Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger:
Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR abs/2006.08368 (2020)
2010 – 2019
- 2019
- [j10]Felix Bießmann, Tammo Rukat, Philipp Schmidt, Prathik Naidu, Sebastian Schelter, Andrey Taptunov, Dustin Lange, David Salinas:
DataWig: Missing Value Imputation for Tables. J. Mach. Learn. Res. 20: 175:1-175:6 (2019) - [c17]Sebastian Schelter, Stefan Grafberger, Philipp Schmidt, Tammo Rukat, Mario Kießling, Andrey Taptunov, Felix Bießmann, Dustin Lange:
Differential Data Quality Verification on Partitioned Data. ICDE 2019: 1940-1945 - [c16]Sergey Redyuk, Sebastian Schelter, Tammo Rukat, Volker Markl, Felix Bießmann:
Learning to Validate the Predictions of Black Box Machine Learning Models on Unseen Data. HILDA@SIGMOD 2019: 4:1-4:4 - [c15]Sebastian Schelter, Felix Bießmann, Dustin Lange, Tammo Rukat, Philipp Schmidt, Stephan Seufert, Pierre Brunelle, Andrey Taptunov:
Unit Testing Data with Deequ. SIGMOD Conference 2019: 1993-1996 - [i4]Philipp Schmidt, Felix Bießmann:
Quantifying Interpretability and Trust in Machine Learning Systems. CoRR abs/1901.08558 (2019) - [i3]Felix Bießmann, Dionysius Irza Refiano:
A psychophysics approach for quantitative comparison of interpretable computer vision models. CoRR abs/1912.05011 (2019) - 2018
- [j9]Sebastian Schelter, Felix Bießmann, Tim Januschowski, David Salinas, Stephan Seufert, Gyuri Szarvas:
On Challenges in Machine Learning Model Management. IEEE Data Eng. Bull. 41(4): 5-15 (2018) - [j8]Sebastian Schelter, Dustin Lange, Philipp Schmidt, Meltem Celikel, Felix Bießmann, Andreas Grafberger:
Automating Large-Scale Data Quality Verification. Proc. VLDB Endow. 11(12): 1781-1794 (2018) - [c14]Felix Bießmann, David Salinas, Sebastian Schelter, Philipp Schmidt, Dustin Lange:
"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data. CIKM 2018: 2017-2025 - 2016
- [c13]Sebastian Schelter, Felix Bießmann, Malisa Zobel, Nedelina Teneva:
Structural Patterns in the Rise of Germany's New Right on Facebook. ICDM Workshops 2016: 440-445 - [i2]Felix Bießmann:
Automating Political Bias Prediction. CoRR abs/1608.02195 (2016) - [i1]Nikolaas Steenbergen, Sebastian Schelter, Felix Bießmann:
Doubly stochastic large scale kernel learning with the empirical kernel map. CoRR abs/1609.00585 (2016) - 2015
- [j7]Siamac Fazli, Sven Dähne, Wojciech Samek, Felix Bießmann, Klaus-Robert Müller:
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces. Proc. IEEE 103(6): 891-906 (2015) - [j6]Sven Dähne, Felix Bießmann, Wojciech Samek, Stefan Haufe, Dominique Goltz, Christopher Gundlach, Arno Villringer, Siamac Fazli, Klaus-Robert Müller:
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. Proc. IEEE 103(9): 1507-1530 (2015) - [c12]Isabella Schlattner, Achim Leydecker, Felix Bießmann, Yiyu Chen, Siamac Fazli:
EEG-based neural decoding of Intelligence Questions. BCI 2015: 1-4 - 2014
- [j5]Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann:
On the interpretation of weight vectors of linear models in multivariate neuroimaging. NeuroImage 87: 96-110 (2014) - [j4]Michael Gaebler, Felix Bießmann, Jan-Peter Lamke, Klaus-Robert Müller, Henrik Walter, Stefan Hetzer:
Stereoscopic depth increases intersubject correlations of brain networks. NeuroImage 100: 427-434 (2014) - [c11]Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller:
Multimodal integration of electrophysiological and hemodynamic signals. BCI 2014: 1-4 - [c10]Jeong-Hun Kim, Felix Bießmann, Seong-Whan Lee:
Reconstruction of hand movements from EEG signals based on non-linear regression. BCI 2014: 1-3 - [c9]Felix Bießmann, Michael Gaebler, Jan-Peter Lamke, Ui Jong Ju, Stefan Hetzer, Christian Wallraven, Klaus-Robert Müller:
Data-driven multisubject neuroimaging analyses for naturalistic stimuli. PRNI 2014: 1-4 - [c8]Stefan Haufe, Frank C. Meinecke, Kai Görgen, Sven Dähne, John-Dylan Haynes, Benjamin Blankertz, Felix Bießmann:
Parameter interpretation, regularization and source localization in multivariate linear models. PRNI 2014: 1-4 - [c7]Achim Leydecker, Felix Bießmann, Siamac Fazli:
Single-trials ERPs predict correct answers to intelligence test questions. PRNI 2014: 1-4 - 2013
- [j3]Sven Dähne, Felix Bießmann, Frank C. Meinecke, Jan Mehnert, Siamac Fazli, Klaus-Robert Müller:
Integration of Multivariate Data Streams With Bandpower Signals. IEEE Trans. Multim. 15(5): 1001-1013 (2013) - 2012
- [b1]Felix Bießmann:
Data-driven analysis for multimodal neuroimaging. Berlin Institute of Technology, 2012 - [j2]Felix Bießmann, Yusuke Murayama, Nikos K. Logothetis, Klaus-Robert Müller, Frank C. Meinecke:
Improved decoding of neural activity from fMRI signals using non-separable spatiotemporal deconvolutions. NeuroImage 61(4): 1031-1042 (2012) - [c6]Felix Bießmann, Jens-Michalis Papaioannou, Mikio L. Braun, Andreas Harth:
Canonical Trends: Detecting Trend Setters in Web Data. ICML 2012 - [c5]Felix Bießmann, Jens-Michalis Papaioannou, Andreas Harth, M. L. Jugel, Klaus-Robert Müller, Mikio L. Braun:
Quantifying spatiotemporal dynamics of twitter replies to news feeds. MLSP 2012: 1-6 - [c4]Janne Mathias Hahne, Hubertus Rehbaum, Felix Bießmann, Frank C. Meinecke, Klaus-Robert Müller, Ning Jiang, Dario Farina, Lucas C. Parra:
Simultaneous and proportional control of 2D wrist movements with myoelectric signals. MLSP 2012: 1-6 - 2011
- [c3]Felix Bießmann, Yusuke Murayama, Nikos K. Logothetis, Klaus-Robert Müller, Frank C. Meinecke:
Non-separable Spatiotemporal Brain Hemodynamics Contain Neural Information. MLINI 2011: 140-147 - 2010
- [j1]Felix Bießmann, Frank C. Meinecke, Arthur Gretton, Alexander Rauch, Gregor Rainer, Nikos K. Logothetis, Klaus-Robert Müller:
Temporal kernel CCA and its application in multimodal neuronal data analysis. Mach. Learn. 79(1-2): 5-27 (2010) - [c2]Felix Bießmann, Andreas Harth:
Analysing Dependency Dynamics in Web Data. AAAI Spring Symposium: Linked Data Meets Artificial Intelligence 2010
2000 – 2009
- 2008
- [c1]N. Jeremy Hill, Jason Farquhar, Suzanna Martens, Felix Bießmann, Bernhard Schölkopf:
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance. NIPS 2008: 665-672
Coauthor Index
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