Applied Machine Learning

2024

• Abdelaal M., Yayak AB., Klede K., Schöning H.:
  ReClean: Reinforcement Learning for Automated Data Cleaning in ML Pipelines
  3rd International Workshop on Databases and Machine Learning (Utrecht, 13. May 2024 - 13. May 2024)
  Open Access: https://www.wis.ewi.tudelft.nl/assets/files/dbml2024/DBML24_paper_11.pdf
  URL: https://www.wis.ewi.tudelft.nl/assets/files/dbml2024/DBML24_paper_11.pdf
  BibTeX: Download
• Dietz S., Altstidl TR., Zanca D., Eskofier B., Nguyen A.:
  How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series
  International Joint Conference on Neural Networks (IJCNN) (Yokohama, 30. June 2024 - 5. July 2024)
  DOI: 10.1109/IJCNN60899.2024.10650421
  URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10650421
  BibTeX: Download
• Dumbach P.:
  Adoption of Artificial Intelligence in Industry and Politics: An Analysis Based on Web Mining and Case Studies across Diverse Data Sources (Dissertation, 2024)
  URL: https://open.fau.de/handle/openfau/31160
  BibTeX: Download
• Küderle A., Ullrich M., Roth N., Ollenschläger M., Ibrahim A., Moradi H., Richer R., Seifer AK., Zürl M., Simpetru R., Herzer L., Prossel D., Kluge F., Eskofier B.:
  Gaitmap – An Open Ecosystem for IMU-based Human Gait Analysis and Algorithm Benchmarking
  In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-10
  DOI: 10.1109/OJEMB.2024.3356791
  BibTeX: Download
• Roider J., Nguyen A., Zanca D., Eskofier B.:
  Assessing the Performance of Remaining Time Prediction Methods for Business Processes
  In: IEEE Access (2024), p. 1-19
  ISSN: 2169-3536
  DOI: 10.1109/ACCESS.2024.3459648
  URL: https://ieeexplore.ieee.org/abstract/document/10679137
  BibTeX: Download
• Roider J., Zanca D., Eskofier B.:
  Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring
  BPM: International Conference on Business Process Management (Krakow, 1. September 2024 - 6. September 2024)
  In: Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann (ed.): Business Process Management, 22nd International Conference, BPM 2024, Krakow, Poland, September 1–6, 2024, Proceedings, Cham: 2024
  DOI: 10.1007/978-3-031-70396-6
  URL: https://link.springer.com/book/10.1007/978-3-031-70396-6
  BibTeX: Download
• Schlieper P., Luft H., Klede K., Strohmeyer C., Eskofier B., Zanca D.:
  Enhancing unsupervised outlier model selection: A study on ireos algorithms
  In: ACM Transactions on Knowledge Discovery from Data 18 (2024), Article No.: 178
  ISSN: 1556-4681
  DOI: 10.1145/3653719
  BibTeX: Download
• Schrupp B., Klede K., Raab R., Eskofier B.:
  Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data
  International Conference on Computational Science 2024
  In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (ed.): Computational Science -- ICCS 2024, Cham: 2024
  DOI: 10.1007/978-3-031-63772-8_22
  BibTeX: Download
• Zürl M., Stoll P., Brehm I., Sueskind J., Raab R., Petermann J., Zanca D., Simon R., von Fersen L., Eskofier B.:
  Automated long-term monitoring of stereotypical movement in polar bears under human care using machine learning
  In: Ecological Informatics (2024), p. 102840
  ISSN: 1574-9541
  DOI: 10.1016/j.ecoinf.2024.102840
  BibTeX: Download

2023

• Abdullahi I., Raab R., Küderle A., Eskofier B.:
  Aligning Federated Learning with Existing Trust Structures in Health Care Systems
  In: International Journal of Environmental Research and Public Health 20 (2023), Article No.: 5378
  ISSN: 1661-7827
  DOI: 10.3390/ijerph20075378
  URL: https://www.mdpi.com/1660-4601/20/7/5378
  BibTeX: Download
• Altstidl TR., Nguyen A., Schwinn L., Köferl F., Mutschler C., Eskofier B., Zanca D.:
  Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks
  2023 International Joint Conference on Neural Networks (IJCNN) (Gold Coast, Australia, 18. June 2023 - 23. June 2023)
  In: Proc. Intl. Joint Conf. Neural Netw. (IJCNN) 2023
  DOI: 10.1109/IJCNN54540.2023.10191724
  BibTeX: Download
• Dumbach P., Schwinn L., Löhr T., Do PL., Eskofier B.:
  Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach
  In: Evolutionary Intelligence (2023)
  ISSN: 1864-5909
  DOI: 10.1007/s12065-023-00878-4
  URL: https://link.springer.com/article/10.1007/s12065-023-00878-4
  BibTeX: Download
• Dumbach P., Schwinn L., Löhr T., Elsberger T., Eskofier B.:
  Artificial intelligence trend analysis in German business and politics: a web mining approach
  In: International Journal of Data Science and Analytics (2023), p. 1-22
  ISSN: 2364-415X
  DOI: 10.1007/s41060-023-00483-9
  URL: https://link.springer.com/article/10.1007/s41060-023-00483-9
  BibTeX: Download
• Gabler E., Nissen M., Altstidl TR., Titzmann A., Packhäuser K., Maier A., Fasching P., Eskofier B., Leutheuser H.:
  Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning
  45th Annual International Conference of the IEEE Engineering in Medicine and Biology Conference, EMBC 2023 (Sydney, NSW, 24. July 2023 - 27. July 2023)
  In: 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2023
  DOI: 10.1109/EMBC40787.2023.10340336
  BibTeX: Download
• Klede K., Altstidl TR., Zanca D., Eskofier B.:
  p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison
  Thirty-seventh Annual Conference on Neural Information Processing Systems (New Orleans, 10. December 2023 - 16. December 2023)
  In: A. Oh and T. Neumann and A. Globerson and K. Saenko and M. Hardt and S. Levine (ed.): Advances in Neural Information Processing Systems 36 2023
  Open Access: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
  URL: https://proceedings.neurips.cc/paper_files/paper/2023/file/563d94819f68cb73d6a382809e587b54-Paper-Conference.pdf
  BibTeX: Download
• Klede K., Schwinn L., Zanca D., Eskofier B.:
  FastAMI - A Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
  AAAI 2023 (Washington, D.C., 7. February 2023 - 14. February 2023)
  In: Proceedings of the AAAI Conference on Artificial Intelligence, 37(7) 2023
  DOI: 10.1609/aaai.v37i7.26003
  URL: https://ojs.aaai.org/index.php/AAAI/article/view/26003
  BibTeX: Download
• Maier T., Kamm L., Heckmann A., Eskofier B.:
  Homogeneous Soil Moisture Sensor with High Repeatability for Different Soil Depths
  Sensor and Measurement Science International 2023 (Nuremberg, Germany, 8. May 2023 - 11. May 2023)
  DOI: 10.5162/smsi2023/p32
  BibTeX: Download
• Raab R., Küderle A., Zakreuskaya A., Stern AD., Klucken J., Kaissis G., Rueckert D., Boll S., Eils R., Wagener H., Eskofier B.:
  Federated electronic health records for the European Health Data Space
  In: The Lancet Digital Health 5 (2023), p. e840-e847
  ISSN: 2589-7500
  DOI: 10.1016/S2589-7500(23)00156-5
  URL: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00156-5/fulltext
  BibTeX: Download
• Schwinn L., Raab R., Nguyen A., Zanca D., Eskofier B.:
  Exploring misclassifications of robust neural networks to enhance adversarial attacks
  In: Applied Intelligence (2023)
  ISSN: 0924-669X
  DOI: 10.1007/s10489-023-04532-5
  BibTeX: Download
• Zugarini A., Röthenbacher T., Klede K., Ernandes M., Eskofier B., Zanca D.:
  Die Rätselrevolution: Automated German Crossword Solving
  CLiC-it 2023 - Italian Conference on Computational Linguistics (Venice, 30. November 2023 - 2. December 2023)
  In: Federico Boschetti, Gianluca E. Lebani, Bernardo Magnini, Nicole Novielli (ed.): Proceedings of the 9th Italian Conference on Computational Linguistics 2023
  Open Access: https://ceur-ws.org/Vol-3596/paper54.pdf
  URL: https://ceur-ws.org/Vol-3596/paper54.pdf
  BibTeX: Download
• Zürl M., Dirauf R., Köferl F., Steinlein N., Sueskind J., Zanca D., Brehm I., von Fersen L., Eskofier B.:
  PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears
  In: Animals 13 (2023), p. 801
  ISSN: 2076-2615
  DOI: 10.3390/ani13050801
  BibTeX: Download

2022

• Hecht D., Pfahler T., Ullmann I., Altstidl TR., Amer N., Jin Y., Eskofier B., Vossiek M.:
  In Vivo Skin-Type Classification Using Millimeter-Wave Near-Field Probe Spectroscopy
  2022 52nd European Microwave Conference (Milan, 27. September 2022 - 29. September 2022)
  In: Institute of Electrical and Electronics Engineers (IEEE) (ed.): 2022 52nd European Microwave Conference, Milan: 2022
  DOI: 10.23919/EuMC54642.2022.9924376
  BibTeX: Download
• Schwinn L., Bungert L., Nguyen A., Raab R., Pulsmeyer F., Precup D., Eskofier B., Zanca D.:
  Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification
  Proceedings of the 39th International Conference on Machine Learning (Baltimore, USA, 17. July 2022 - 23. July 2022)
  In: PMLR (ed.): 162 2022
  Open Access: https://proceedings.mlr.press/v162/schwinn22a.html
  URL: https://proceedings.mlr.press/v162/schwinn22a.html
  BibTeX: Download
• Zürl M., Stoll P., Brehm I., Raab R., Zanca D., Kabri S., Happold J., Nille H., Prechtel K., Wünsch S., Krause M., Seegerer S., von Fersen L., Eskofier B.:
  Automated Video-Based Analysis Framework for Behavior Monitoring of Individual Animals in Zoos Using Deep Learning—A Study on Polar Bears
  In: Animals 12 (2022), p. 692
  ISSN: 2076-2615
  DOI: 10.3390/ani12060692
  BibTeX: Download

2021

• Altstidl TR., Kram S., Herrmann O., Stahlke M., Feigl T., Mutschler C.:
  Accuracy-Aware Compression of Channel Impulse Responses using Deep Learning
  International Conference on Indoor Positioning and Indoor Navigation (IPIN2021) (Lloret de Mar, 29. November 2021 - 2. December 2021)
  In: Proceedings of the International Conference on Indoor Positioning and Indoor Navigation (IPIN 2021) 2021
  DOI: 10.1109/IPIN51156.2021.9662545
  BibTeX: Download
• Bungert L., Raab R., Roith T., Schwinn L., Tenbrinck D.:
  CLIP: Cheap Lipschitz Training of Neural Networks
  International Conference on Scale Space and Variational Methods in Computer Vision
  In: Abderrahim Elmoataz, Jalal Fadili, Yvain Quéau, Julien Rabin, Loïc Simon (ed.): SSVM 2021: Scale Space and Variational Methods in Computer Vision, Cham: 2021
  DOI: 10.1007/978-3-030-75549-2_25
  URL: https://arxiv.org/abs/2103.12531
  BibTeX: Download
• Dumbach P., Liu R., Jalowski M., Eskofier B.:
  The Adoption Of Artificial Intelligence In SMEs - A Cross-National Comparison In German And Chinese Healthcare
  20th International Conference on Perspectives in Business Informatics Research (BIR 2021) Workshops (ILOG 2021) (Vienna, Austria (fully-virtual conference), 22. September 2021 - 24. September 2021)
  In: Forbig P., Hinkelmann K., Kirikova M., Lantow B., Møller C., Morichetta A., Plebani P., Re B., Sandkuhl K., Seigerroth U. (ed.): Joint Proceedings of the BIR 2021 Workshops and Doctoral Consortium co-located with 20th International Conference on Perspectives in Business Informatics Research (BIR 2021) 2021
  URL: http://ceur-ws.org/Vol-2991/paper08.pdf
  BibTeX: Download
• Laut P., Dumbach P., Eskofier B.:
  Integration of Artificial Intelligence in the Organizational Adoption – A Configurational Perspective
  Forty-Second International Conference on Information Systems (Austin, 11. December 2021 - 15. November 2021)
  In: Association for Information Systems (ed.): ICIS 2021 Proceedings 2021
  URL: https://aisel.aisnet.org/icis2021/is_implement/is_implement/2/
  BibTeX: Download
• Schwinn L., Nguyen A., Raab R., Bungert L., Tenbrinck D., Zanca D., Burger M., Eskofier B.:
  Identifying untrustworthy predictions in neural networks by geometric gradient analysis
  Conference on Uncertainty in Artificial Intelligence (UAI) (Online, 27. July 2021 - 30. July 2021)
  URL: https://arxiv.org/abs/2102.12196
  BibTeX: Download
• Schwinn L., Nguyen A., Raab R., Zanca D., Eskofier B., Tenbrinck D., Burger M.:
  Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks
  International Joint Conference on Neural Networks (IJCNN) (Online, 18. July 2021 - 22. July 2021)
  DOI: 10.1109/ijcnn52387.2021.9534190
  BibTeX: Download
• Schwinn L., Raab R., Nguyen A., Zanca D., Eskofier B.:
  Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
  URL: https://arxiv.org/abs/2105.10304
  BibTeX: Download

2020

• Dumbach P., Aly A., Zrenner M., Eskofier B.:
  Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser
  13th International Conference on Educational Data Mining (Ifrane, Morocco (Fully Virtual Conference), 10. July 2020 - 13. July 2020)
  In: Anna N. Rafferty, Jacob Whitehill, Cristobal Romero, Violetta Cavalli-Sforza (ed.): Proceedings of the 13th International Conference on Educational Data Mining 2020
  Open Access: https://educationaldatamining.org/files/conferences/EDM2020/papers/paper_239.pdf
  URL: https://educationaldatamining.org/files/conferences/EDM2020/EDM2020Proceedings.pdf
  BibTeX: Download
• Groß T., Dirauf R., Freiling F.:
  Systematic Analysis of Browser History Evidence
  13th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE) (New York, 15. May 2020 - 15. May 2020)
  In: IEEE (ed.): 2020 13th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE) 2020
  DOI: 10.1109/SADFE51007.2020.00010
  BibTeX: Download
• Köferl F., Link J., Eskofier B.:
  Application of SORT on Multi-Object Tracking and Segmentation
  Conference on Computer Vision and Pattern Recognition; 5th BMTT MOTChallenge Workshop: Multi-Object Tracking and Segmentation (Seattle, WA, USA (Virtual), 19. June 2020 - 19. June 2020)
  URL: https://motchallenge.net/workshops/bmtt2020/papers/Application_and_Adaptations_of_SORT_on_MOTS20.pdf
  BibTeX: Download
  (Working Paper)
• Rüthlein M., Köferl F., Mehringer W., Eskofier B.:
  Interactive Segmentation of RGB-D Indoor Scenes using Deep Learning
  International Conference on Machine Learning; 2nd ICML 2020 Workshop on Human in the Loop Learning (Virtual Conference, 18. July 2020 - 18. July 2020)
  BibTeX: Download
  (Conference report)

2019

• Raab R., Driessens K.:
  A generative policy gradient approach for learning to play text-based adventure games
  BNAIC/BENELEARN 2019 (Brussels, 6. November 2019 - 8. November 2019)
  In: Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019) 2019
  Open Access: http://ceur-ws.org/Vol-2491/abstract18.pdf
  BibTeX: Download

2017

• Maier T., Kamm L.:
  Moisture Sensor for Gravitation Dependent Plant Watering
  68th International Astronautical Conference (IAC) (Adelaide, Australia, 25. September 2017 - 29. September 2017)
  URL: https://www.researchgate.net/publication/319939522_Moisture_sensor_for_gravitation_dependent_plant_watering
  BibTeX: Download

2016

• Maier T., Kamm L.:
  Capacitive Soil Moisture Sensor for Plant Watering
  European Geosciences Union (EGU) 2016 General Assembly (Wien, Österreich, 17. April 2016 - 22. April 2016)
  URL: https://meetingorganizer.copernicus.org/EGU2016/EGU2016-13805.pdf?pdf/https://meetingorganizer.copernicus.org/EGU2016/EGU2016-13805.pdf?pdf
  BibTeX: Download

2015

• Selgrad K., Lier A., Köferl F., Stamminger M., Lohmann D.:
  Lightweight, generative variant exploration for high-performance graphics applications
  14th International Conference on Generative Programming: Concepts & Experiences (GPCE) (Pittsburgh, PA, 26. October 2015 - 27. October 2015)
  In: ACM Bd. 51, Nr. 3 2015
  DOI: 10.1145/2814204.2814220
  BibTeX: Download