Cognitive Algorithms Lab

Publications

Complete list of publications on GoogleScholar

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
AIMLAI Workshop, ECML 2024, Vilnius  ·  27 Sep 2024  ·  arXiv:2409.17157
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, Cedric Adjih, Emmanuel Baccelli
IEEE International Symposium on the Internet of Sounds, Erlangen  ·  12 Sep 2024  ·  arXiv:2407.21453
The Influence of Faulty Labels in Data Sets on Human Pose Estimation
Arnold Schwarz, Levente Hernadi, Felix Bießmann, Kristian Hildebrand
arXiv  ·  10 Sep 2024  ·  arXiv:2409.03887
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
Workshop on Public Interest AI at 47th German Conference on AI (KI 2024)  ·  04 Sep 2024  ·  arxiv:2409.01138
Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation
Vipin Singh, Tianheng Ling, Teodor Chiaburu, Felix Biessmann
Workshop on Public Interest AI at 47th German Conference on AI (KI 2024)  ·  22 Aug 2024  ·  arXiv:2408.11619
Uncertainty in XAI: Human Perception and Modeling Approaches
Teodor Chiaburu, Frank Haußer, Felix Bießmann
Machine Learning and Knowledge Extraction  ·  27 May 2024  ·  doi:10.3390/make6020055
Towards Transnational Fairness in Machine Learning: A Case Study in Disaster Response Systems
Cem Kozcuer, Anne Mollen, Felix Bießmann
European Conference on Information Retrieval  ·  09 May 2024  ·  doi:10.1007/s11023-024-09663-3
Can Sustainable Shopping Recommendations in Online Retail Help Reduce Global Warming? Assessing the Direct and Indirect Climate Impact of Modern Software
Marja Lena Hoffmann, Ivana Nanevski, Maike Gossen, Jens Bergener, Alexander Flick, Tilman Santarius, Felix Biessmann
Weizenbaum Journal of the Digital Society  ·  25 Apr 2024  ·  url:https://ojs.weizenbaum-institut.de/index.php/wjds/article/view/4_1_2/124
From Data Imputation to Data Cleaning — Automated Cleaning of Tabular Data Improves Downstream Predictive Performance
Sebastian Jäger, Felix Biessmann
Proceedings of The 27th International Conference on Artificial Intelligence and Statistics  ·  18 Apr 2024  ·  url:https://proceedings.mlr.press/v238/jager24a
CoProNN: Concept-Based Prototypical Nearest Neighbors for Explaining Vision Models
Teodor Chiaburu, Frank Haußer, Felix Bießmann
Communications in Computer and Information Science  ·  01 Jan 2024  ·  doi:10.1007/978-3-031-63787-2_5

2023

An Automated Machine Learning Approach towards Energy Saving Estimates in Public Buildings
Felix Biessmann, Bhaskar Kamble, Rita Streblow
Energies  ·  25 Sep 2023  ·  doi:10.3390/en16196799
Evaluating the Quality of ChatGPT’s Climate-related Responses
Jens Bergener, Maike Gossen, Marja Lena Hoffmann, Felix Bießmann, Marek Veneny, Ruben Korenke
Ökologisches Wirtschaften - Fachzeitschrift  ·  08 Sep 2023  ·  doi:10.14512/OEW380346
Metadata-independent classification of MRI sequences using convolutional neural networks: Successful application to prostate MRI
Georg L. Baumgärtner, Charlie A. Hamm, Sophia Schulze-Weddige, Richard Ruppel, Nick L. Beetz, …, Konrad P. Froböse, Helena Posch, Julian Lenk, Felix Biessmann, Tobias Penzkofer
European Journal of Radiology  ·  01 Sep 2023  ·  doi:10.1016/j.ejrad.2023.110964
Exploring needs and challenges for AI in nursing care – results of an explorative sequential mixed methods study
Kathrin Seibert, Dominik Domhoff, Daniel Fürstenau, Felix Biessmann, Matthias Schulte-Althoff, Karin Wolf-Ostermann
BMC Digital Health  ·  04 May 2023  ·  doi:10.1186/s44247-023-00015-2
Interactive Explainable Deep Learning Model Informs Prostate Cancer Diagnosis at MRI
Charlie A. Hamm, Georg L. Baumgärtner, Felix Biessmann, Nick L. Beetz, Alexander Hartenstein, …, Bernd Hamm, Matthias Haas, Sebastian Hofbauer, Hannes Cash, Tobias Penzkofer
Radiology  ·  01 May 2023  ·  doi:10.1148/radiol.222276
CycleSense: Detecting Near Miss Incidents in Bicycle Traffic from Mobile Motion Sensors
Ahmet-Serdar Karakaya, Thomas Ritter, Felix Biessmann, David Bermbach
Pervasive and Mobile Computing  ·  15 Mar 2023  ·  arXiv:2204.10416
Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows
Teodor Chiaburu, Felix Bießmann
Procedia Computer Science  ·  01 Jan 2023  ·  doi:10.1016/j.procs.2024.05.091
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
Annual Meeting of the Institute of Nuclear Materials Management (INMM), Vienna  ·  01 Jan 2023  ·  arXiv:2404.07754
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
Annual Meeting of the Institute of Nuclear Materials Management (INMM), Vienna  ·  01 Jan 2023  ·  arXiv:2404.11461
Forschungs- und Entwicklungsprojekte in der Pflege erfolgreich planen und umsetzen – Voraussetzungen und Gelingensbedingungen am Beispiel des Einsatzes von künstlicher Intelligenz
Dominik Domhoff, Kathrin Seibert, Lea Bergmann, Sarah Theune, Felix Bießmann, Daniel Fürstenau, Matthias Schulte-Althoff, Karin Wolf-Ostermann
World Conference on Explainable Artificial Intelligence  ·  01 Jan 2023  ·  url:https://link.springer.com/chapter/10.1007/978-3-658-39302-1_21
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 Beckers
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV  ·  01 Jan 2023  ·  arxiv:2404.18504
Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data
Alexander Flick, Sebastian Jäger, Ivana Trajanovska, Felix Biessmann
Lecture Notes in Computer Science  ·  01 Jan 2023  ·  doi:10.1007/978-3-031-28241-6_19

2022

GreenDB -- A Dataset and Benchmark for Extraction of Sustainability Information of Consumer Goods
Sebastian Jäger, Alexander Flick, Jessica Adriana Sanchez Garcia, Kaspar von den Driesch, Karl Brendel, Felix Biessmann
DataPerf Workshop at the 39 th International Conference on Machine Learning, Baltimore, Maryland, USA  ·  17 Aug 2022  ·  arxiv:2207.10733
GreenDB: Toward a Product-by-Product Sustainability Database
Sebastian Jäger, Jessica Greene, Max Jakob, Ruben Korenke, Tilman Santarius, Felix Biessmann
arXiv  ·  01 Aug 2022  ·  arXiv:2205.02908
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
Presented at XAI4CV Workshop at CVPR  ·  16 Jun 2022  ·  arxiv:2206.07497
Nudging Sustainable Consumption: A Large-Scale Data Analysis of Sustainability Labels for Fashion in German Online Retail
Maike Gossen, Sebastian Jäger, Marja Lena Hoffmann, Felix Bießmann, Ruben Korenke, Tilman Santarius
Frontiers in Sustainability  ·  10 Jun 2022  ·  doi:10.3389/frsus.2022.922984
Search Filter Ranking with Language-Aware Label Embeddings
Jacek Golebiowski, Felice Antonio Merra, Ziawasch Abedjan, Felix Biessmann
Companion Proceedings of the Web Conference 2022  ·  25 Apr 2022  ·  doi:10.1145/3487553.3524218
Changes in Policy Preferences in German Tweets during the COVID Pandemic
Felix Biessmann
International Conference on Social Informatics  ·  01 Jan 2022  ·  arxiv:2308.04444

2021

More Than Words: Towards Better Quality Interpretations of Text Classifiers
Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, Cédric Archambeau, Felix Biessmann, Sanjiv Ranjan Das, Krishnaram Kenthapadi
arXiv  ·  24 Dec 2021  ·  arXiv:2112.12444
Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review
Kathrin Seibert, Dominik Domhoff, Dominik Bruch, Matthias Schulte-Althoff, Daniel Fürstenau, Felix Biessmann, Karin Wolf-Ostermann
Journal of Medical Internet Research  ·  29 Nov 2021  ·  doi:10.2196/26522
A Benchmark for Data Imputation Methods
Sebastian Jäger, Arndt Allhorn, Felix Bießmann
Frontiers in Big Data  ·  08 Jul 2021  ·  doi:10.3389/fdata.2021.693674
Quality Metrics for Transparent Machine Learning With and Without Humans In the Loop Are Not Correlated
Felix Biessmann, Dionysius Refiano
Proceedings of the ICML Workshop on Theoretical Foundations, Criticism, and Application Trends of Explainable AI held in conjunction with the 38th International Conference on Machine Learning (ICML)  ·  06 Jul 2021  ·  arXiv:2107.02033
A Turing Test for Transparency
Felix Biessmann, Viktor Treu
Proceedings of the ICML Workshop on Theoretical Foundations, Criticism, and Application Trends of Explainable AI held in conjunction with the 38th International Conference on Machine Learning (ICML)  ·  23 Jun 2021  ·  arXiv:2106.11394
Enforcing Constraints for Machine Learning Systems via Declarative Feature Selection: An Experimental Study
Felix Neutatz, Felix Biessmann, Ziawasch Abedjan
Proceedings of the 2021 International Conference on Management of Data  ·  09 Jun 2021  ·  doi:10.1145/3448016.3457295
Automated Computational Energy Minimization of ML Algorithms using Constrained Bayesian Optimization
Pallavi Mitra, Felix Biessmann
ECML/PKDD Workshop on Automating Data Science  ·  01 May 2021  ·  arXiv:2407.05788
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
Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction  ·  14 Feb 2021  ·  doi:10.1145/3430524.3442451
JENGA: A framework to study the impact of data errors on the predictions of machine learning models
Sebastian Schelter, Tammo Rukat, Felix Biessmann
24th International Conference on Extending Database Technology (EDBT)  ·  01 Jan 2021  ·  url:https://www.amazon.science/publications/jenga-a-framework-to-study-the-impact-of-data-errors-on-the-predictions-of-machine-learning-models
Automated data validation in machine learning systems
Felix Biessmann, Jacek Golebiowski, Tammo Rukat, Dustin Lange, Philipp Schmidt
IEEE Data Engineering Bulletin  ·  01 Jan 2021  ·  url:https://www.amazon.science/publications/automated-data-validation-in-machine-learning-systems

2020

Application Scenarios for Artificial Intelligence in Nursing Care: Rapid Review (Preprint)
Kathrin Seibert, Dominik Domhoff, Dominik Bruch, Matthias Schulte-Althoff, Daniel Fürstenau, Felix Biessmann, Karin Wolf-Ostermann
JMIR Publications Inc.  ·  16 Dec 2020  ·  doi:10.2196/preprints.26522
Transparency and trust in artificial intelligence systems
Philipp Schmidt, Felix Biessmann, Timm Teubner
Journal of Decision Systems  ·  10 Sep 2020  ·  doi:10.1080/12460125.2020.1819094
Inter-subject correlations during natural viewing: A filter-bank approach
Arslan Gait, Vladimir Duisenbinov, Min-Ho Lee, Felix Biesmann, Siamac Fazli
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)  ·  01 Jul 2020  ·  doi:10.1109/EMBC44109.2020.9176083
Sensor Artificial Intelligence and its Application to Space Systems -- A White Paper
Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, …, Anna Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger
arXiv  ·  16 Jun 2020  ·  arxiv:2006.08368
Learning to Validate the Predictions of Black Box Classifiers on Unseen Data
Sebastian Schelter, Tammo Rukat, Felix Biessmann
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data  ·  31 May 2020  ·  doi:10.1145/3318464.3380604
Towards automated ML model monitoring: Measure, improve and quantify data quality
Tammo Rukat, Dustin Lange, Sebastian Schelter, Felix Biessmann
MLSys 2020 Workshop on MLOps Systems  ·  01 Jan 2020  ·  url:https://www.amazon.science/publications/towards-automated-data-quality-management-for-machine-learning
Calibrating Human-AI Collaboration: Impact of Risk, Ambiguity and Transparency on Algorithmic Bias
Philipp Schmidt, Felix Biessmann
International Cross-Domain Conference for Machine Learning and Knowledge Extraction  ·  01 Jan 2020  ·  url:https://link.springer.com/chapter/10.1007/978-3-030-57321-8_24