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- Katharina Morik
Technical University of Dortmund, Germany
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Publication search results
found 232 matches
- 2023
- Sebastian Buschjäger, Katharina Morik:
Joint leaf-refinement and ensemble pruning through L1 regularization. Data Min. Knowl. Discov. 37(3): 1230-1261 (2023) - Raphael Fischer, Matthias Jakobs, Katharina Morik:
Energy Efficiency Considerations for Popular AI Benchmarks. CoRR abs/2304.08359 (2023) - Simon Koschel, Sebastian Buschjäger, Claudio Lucchese, Katharina Morik:
Fast Inference of Tree Ensembles on ARM Devices. CoRR abs/2305.08579 (2023) - 2022
- Amal Saadallah, Felix Finkeldey, Jens Buß, Katharina Morik, Petra Wiederkehr, Wolfgang Rhode:
Simulation and sensor data fusion for machine learning application. Adv. Eng. Informatics 52: 101600 (2022) - Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich:
Yes we care!-Certification for machine learning methods through the care label framework. Frontiers Artif. Intell. 5 (2022) - Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik:
Randomized outlier detection with trees. Int. J. Data Sci. Anal. 13(2): 91-104 (2022) - Amal Saadallah, Matthias Jakobs, Katharina Morik:
Explainable online ensemble of deep neural network pruning for time series forecasting. Mach. Learn. 111(9): 3459-3487 (2022) - Mikail Yayla, Sebastian Buschjäger, Aniket Gupta, Jian-Jia Chen, Jörg Henkel, Katharina Morik, Kuan-Hsun Chen, Hussam Amrouch:
FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors. IEEE Trans. Computers 71(7): 1681-1695 (2022) - Mikail Yayla, Simon Thomann, Sebastian Buschjäger, Katharina Morik, Jian-Jia Chen, Hussam Amrouch:
Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. 69(6): 2516-2528 (2022) - Kuan-Hsun Chen, Chiahui Su, Christian Hakert, Sebastian Buschjäger, Chao-Lin Lee, Jenq-Kuen Lee, Katharina Morik, Jian-Jia Chen:
Efficient Realization of Decision Trees for Real-Time Inference. ACM Trans. Embed. Comput. Syst. 21(6): 68:1-68:26 (2022) - Sebastian Buschjäger, Sibylle Hess, Katharina Morik:
Shrub Ensembles for Online Classification. AAAI 2022: 6123-6131 - Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik:
A Unified Framework for Assessing Energy Efficiency of Machine Learning. PKDD/ECML Workshops (1) 2022: 39-54 - Amal Saadallah, Hanna Mykula, Katharina Morik:
Online Adaptive Multivariate Time Series Forecasting. ECML/PKDD (6) 2022: 19-35 - Martin Senz, Mirko Bunse, Katharina Morik:
Certifiable Active Class Selection in Multi-Class Classification. IAL@PKDD/ECML 2022: 68-76 - Sebastian Buschjäger, Katharina Morik:
Summary Extraction from Streams. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 73-84 - Jochen Deuse, Katharina Morik, Amal Saadallah, Jan Büscher, Thorben Panusch:
Quality Assurance in Interlinked Manufacturing Processes. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 114-135 - Katharina Morik, Mirko Bunse:
Key Concepts in Machine Learning and Data Analysis. Mach. Learn. under Resour. Constraints Vol. 2 (2) 2022: 51-75 - Katharina Morik, Jian-Jia Chen:
Introduction. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 1-13 - Katharina Morik, Jörg Rahnenführer, Christian Wietfeld:
Editorial. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 1-2 - Nico Piatkowski, Katharina Morik:
Spatio-Temporal Random Fields. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 100-115 - Wolfgang Rhode, Katharina Morik:
Introduction. Mach. Learn. under Resour. Constraints Vol. 2 (2) 2022: 1-29 - Marco Stolpe, Katharina Morik:
Label Proportion Learning. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 136-156 - Petra Wiederkehr, Katharina Morik, Amal Saadallah, Felix Finkeldey:
Simulation and Machine Learning. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 157-179 - Katharina Morik, Peter Marwedel:
Machine Learning under Resource Constraints - Volume 1: Fundamentals. De Gruyter STEM, De Gruyter 2022, ISBN 978-3-11-078593-7 [contents] - Katharina Morik, Wolfgang Rhode:
Machine Learning under Resource Constraints - Volume 2: Discovery in Physics. De Gruyter STEM, De Gruyter 2022, ISBN 978-3-11-078595-1 [contents] - Katharina Morik, Jörg Rahnenführer, Christian Wietfeld:
Machine Learning under Resource Constraints - Volume 3: Applications. De Gruyter STEM, De Gruyter 2022, ISBN 978-3-11-078597-5 [contents] - Lukas Pfahler, Katharina Morik:
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles. CoRR abs/2209.00446 (2022) - 2021
- Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23(S1): 1-6 (2021) - Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance. DATE 2021: 673-678 - Amal Saadallah, Katharina Morik:
Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting. DSAA 2021: 1-8
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