The artificial intelligence unit works on the discovery, management and application of knowledge. The main topics of our research cover a wide range of current problems, methods and application areas.
| Fischer/etal/2023a |
Raphael Fischer and Jakobs, Matthias and Morik, Katharina.
Energy efficiency considerations for popular AI benchmarks.
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AAAI-2 Workshop AI for Innovation,
2023.
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| Bause/etal/2022a |
Franka Bause and Erich Schubert and Nils M. Kriege.
EmbAssi: embedding assignment costs for similarity search in large graph databases.
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Data Mining and Knowledge Discovery,
Springer,
2022.
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| Buschjaeger/etal/2021d |
Buschjäger, Sebastian and Hess, Sibylle and Morik, Katharina J..
Shrub Ensembles for Online Classification.
In
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22),
Vol. 36,
No. 6,
pages 6123-6131,
AAAI Press,
2022.
|
| Fischer/etal/2022a |
Fischer, Raphael and Jakobs, Matthias and Mücke, Sascha and Morik, Katharina.
A Unified Framework for Assessing Energy Efficiency of Machine Learning.
In
Proceedings of the ECML Workshop on Data Science for Social Good,
2022.
|
| Lang/Schubert/2021a |
Andreas Lang and Erich Schubert.
BETULA: Fast Clustering of Large Data with Improved BIRCH CF-Trees.
In
Information Systems,
Vol. 108,
pages 101918,
2022.
|
| Lenssen/Schubert/2022a |
Lars Lenssen and Erich Schubert.
Clustering by Direct Optimization of the Medoid Silhouette.
In
Similarity Search and Applications, SISAP,
2022.
|
| Morik/etal/2021a |
Morik, Katharina and Kotthaus, Helena and Fischer, Raphael and Mücke, Sascha and Jakobs, Matthias and Piatkowski, Nico and Pauly, Andreas and Heppe, Lukas and Heinrich, Danny.
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework.
In
Elisa Fromont (editors),
Frontiers in Artificial Intelligence,
Frontiers,
2022.
|
| Saadallah/etal/2022a |
Saadallah, Amal and Büscher, Jan and Abdulaaty, Omar and Panusch,Thorben and Deuse,Jochen and Morik, Katharina.
Explainable Predictive Quality Inspection using Deep Learning in Electronics Manufacturing.
In
55th CIRP conference on Manufacturing Systems,
Elsevier,
2022.
|
| Saadallah/etal/2022b |
Saadallah, Amal and Jakobs, Matthias and Morik, Katharina.
Explainable Online Ensemble of Deep Neural Network Pruning for Time Series Forecasting.
2022.
|
| Saadallah/etal/2022c |
Saadallah, Amal and Abdulaaty, Omar and Büscher, Jan and Panusch,Thorben and Morik, Katharina and Deuse,Jochen.
Early Quality Prediction using Deep Learning on Time Series Sensor Data.
In
55th CIRP conference on Manufacturing Systems,
Elsevier,
2022.
|
| Saadallah/etal/2022d |
Saadallah, Amal and Finkeldey, Felix and Buß, Jens and Morik, Katharina and Wiederkehr, Petra and Rhode, Wolfgang.
Simulation and Sensor Data Fusion for Machine Learning Application.
In
Advanced Engineering Informatics,
Vol. 52,
pages 101600,
2022.
|
| Schubert/Lenssen/2022a |
Erich Schubert and Lars Lenssen.
Fast k-medoids Clustering in Rust and Python.
In
Journal of Open Source Software,
Vol. 7,
No. 75,
pages 4183,
The Open Journal,
2022.
|
| Thordsen/Schubert/2022a |
Erik Thordsen and Erich Schubert.
ABID: Angle Based Intrinsic Dimensionality -- Theory and Analysis.
In
Information Systems,
Vol. 108,
pages 101989,
2022.
|
| Thordsen/Schubert/2022b |
Erik Thordsen and Erich Schubert.
On Projections to Linear Subspaces.
In
Similarity Search and Applications, SISAP,
2022.
|
| Abbasi/etal/2021a |
R. Abbasi and M. Huennefeld and K. Morik and others.
A convolutional neural network based cascade reconstruction for the IceCube Neutrino Observatory.
In
Journal of Instrumentation,
Vol. 16,
No. 07,
pages P07041,
IOP Publishing,
2021.
|
| Bause/etal/2021a |
Franka Bause and David B. Blumenthal and Erich Schubert and Nils M. Kriege.
Metric Indexing for Graph Similarity Search.
In
Similarity Search and Applications - 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings,
Vol. 13058,
pages 323--336,
Springer,
2021.
|
| Buschjaeger/etal/2021a |
Buschjäger, Sebastian and Chen, Jian-Jia and Chen, Kuan-Hsun and Günzel, Mario and Hakert, Christian and Morik, Katharina and Novkin, Rodion and Pfahler, Lukas and Yayla, Mikail.
Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance.
In
Proceedings of DATE 2021,
2021.
|
| Cao/etal/2021a |
Cao, Ba-Tung and Saadallah, Amal and Egorov, Alexey and Freitag, Steffen and Meschke, Günther and Morik, Katharina.
Online Geological Anomaly Detection Using Machine Learning in Mechanized Tunneling.
In
In: Barla M., Di Donna A., Sterpi D. (eds) (editors),
Challenges and Innovations in Geomechanics,
Vol. vol 125.,
pages 323--330,
Springer,
2021.
|
| Munteanu/etal/2021a |
Munteanu, Alexander and Omlor, Simon and Woodruff, David P..
Oblivious Sketching for Logistic Regression.
In
Proceedings of the 38th International Conference on Machine Learning (ICML),
2021.
|
| Roth/etal/2021a |
Roth, Andreas and Wüstefeld, Konstantin and Weichert, Frank.
A Data-Centric Augmentation Approach for Disturbed Sensor Image Segmentation.
In
Journal of Imaging,
Vol. 7,
No. 10,
2021.
|
| Schubert/2021b |
Erich Schubert.
A Triangle Inequality for Cosine Similarity.
In
Similarity Search and Applications - 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings,
Vol. 13058,
pages 32--44,
Springer,
2021.
|
| Schubert/etal/2021a |
Erich Schubert and Andreas Lang and Gloria Feher.
Accelerating Spherical k-Means.
In
Similarity Search and Applications - 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings,
Vol. 13058,
pages 217--231,
Springer,
2021.
|
| Schubert/Rousseeuw/2021a |
Erich Schubert and Peter J. Rousseeuw.
Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms.
In
Information Systems,
Vol. 101,
pages 101804,
2021.
|
| Thordsen/Schubert/2021b |
Erik Thordsen and Erich Schubert.
MESS: Manifold Embedding Motivated Super Sampling.
In
Similarity Search and Applications - 14th International Conference, SISAP 2021, Dortmund, Germany, September 29 - October 1, 2021, Proceedings,
Vol. 13058,
pages 232--246,
Springer,
2021.
|
| Yayla/etal/2021a |
Yayla, Mikail and Buschjäger, Sebastian and Gupta, Aniket and Chen, Jian-Jia and Henkel, Jorg and Morik, Katharina and Chen, Kuan-Hsun and Amrouch, Hussam.
FeFET-based Binarized Neural Networks Under Temperature-dependent Bit Errors.
In
IEEE Transactions on Computers,
2021.
|
| Bunse/etal/2020a |
Bunse, Mirko and Weichert, Dorina and Kister, Alexander and Morik, Katharina.
Optimal Probabilistic Classification in Active Class Selection.
In
International Conference on Data Mining (ICDM),
pages 942--947,
IEEE,
2020.
|
| Buschjaeger/etal/2020a |
Buschjäger, Sebastian and Pfahler, Lukas and Buss, Jens and Morik, Katharina and Rhode, Wolfgang.
On-Site Gamma-Hadron Separation with Deep Learning on FPGAs.
In
Joint European Conference on Machine Learning and Knowledge Discovery in Databases,
Springer,
2020.
|
| Buschjaeger/etal/2020d |
Buschjäger, Sebastian and Honysz, Philipp-Jan and Morik, Katharina.
Randomized outlier detection with trees.
In
International Journal of Data Science and Analytics,
pages 1--14,
Springer,
2020.
|
| Buschjaeger/Honysz/2020a |
Buschjäger, Sebastian and Honysz, Philipp-Jan and Morik, Katharina.
Generalized Isolation Forest: Some Theory and More Applications -- Extended Abstract.
In
Proceedings 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA 2020),
IEEE,
2020.
|
| Buss/2020a |
Buß, Jens Björn.
Bad Moon Rising?.
TU Dortmund University,
2020.
|
| Finkeldey/etal/2020a |
Finkeldey, Felix and Saadallah, Amal and Wiederkehr, Petra and Morik, Katharina.
Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data.
In
Engineering Applications of Artificial Intelligence,
Vol. 94,
2020.
|
| Fischer/etal/2020b |
Fischer, Raphael and Piatkowski, Nico and Pelletier, Charlotte and Webb, Geoffrey and Petitjean, Francois and Morik, Katharina.
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series.
In
Webb, Geoffrey and Cao, Longbing and Zhang, Zhongfei and Tseng, Vincent S. and Williams, Graham and Vlachos, Michalis (editors),
Proceedings of the IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA),
pages 546--555,
The Institute of Electrical and Electronics Engineers, Inc. (IEEE),
2020.
|
| Geppert/etal/2020a |
Geppert, Leo N. and Ickstadt, Katja and Munteanu, Alexander and Sohler, Christian.
Streaming statistical models via Merge & Reduce.
In
International Journal of Data Science and Analytics,
Vol. 10,
No. 4,
pages 331-347,
2020.
|
| Heppe/etal/2020a |
Heppe, Lukas and Kamp, Michael and Adilova, Linara and Piatkowski, Nico and Heinrich, Danny and Morik, Katharina.
Resource-Constrained On-Device Learning by Dynamic Averaging.
In
ECML PKDD 2020 Workshops,
pages 129--144,
Cham,
Springer,
2020.
|
| Heppe/etal/2021a |
Nikolaos Nikolaou and Ingo P. Waldmann and Angelos Tsiaras and Mario Morvan and Billy Edwards and Kai Hou Yip and Giovanna Tinetti and Subhajit Sarkar and James M. Dawson and Vadim Borisov and Gjergji Kasneci and Matej Petkovic and Tomaz Stepisnik and Tarek Al-Ubaidi and Rachel Louise Bailey and Michael Granitzer and Sahib Julka and Roman Kern and Patrick Ofner and Stefan Wagner and Lukas Heppe and Mirko Bunse and Katharina Morik.
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots.
In
The Astronomical Journal (under review),
2020.
|
| Lang/Schubert/2020a |
Andreas Lang and Erich Schubert.
BETULA: Numerically Stable CF-Trees for BIRCH Clustering.
In
Proceedings of the 13th International Conference on Similarity Search and Applications SISAP 2020, Copenhagen, Denmark,
pages 281--296,
2020.
|
| Nanni/etal/2020a |
Nanni, Mirco and Gennady, Andrienko and Barabasi, Albert-Laszlo and Boldrini, Chiara and Bonchi, Francesco and Cattuto, Ciro and Chiaromonte, Francesca and Commande, Giovanni and Conti, Marco and Cote, Mark and Dignum, Frank and Dignum, Virginia and Domingo-Ferrer, Josep and Ferragina, Paolo and Giannotti, Fosca and Guidotti, Riccardo and Helbng, Dirk and Kaski, Kimmo and Kertesz, Janos and Lehmann, Sune and Lepri, Bruno and Lukowicz, Paul and Matwin, Stan and Megias, Jimenez, David Megias and Monreale, Anna and Morik, Katharina and Oliver, Nuria and Passarella, Andrea and Passerini, Andrea and Pedreschi, Dino and Pentland, Alex and Pianesi, Fabio and Pratesi, Francesca and Rinzivillo, Salvatore and Ruggieri, Salvatore and Siebes, Arno and Torra, Vicenc and Trasarti, Roberto and van der Hoven, Jeroen and Vespignani, Alessandro.
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment.
In
Transactions on Data Privacy,
Vol. 13,
pages 61--66,
2020.
|
| Pfahler/Morik/2020a |
Pfahler, Lukas and Morik, Katharina.
Semantic Search in Millions of Equations.
In
KDD '20- Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
ACM,
2020.
|
| Pfahler/Richter/2020a |
Lukas Pfahler and Jan Richter.
Interpretable Nearest Neighbor Queries for Tree-Structured Data in Vector Databases of Graph-Neural Network Embeddings.
In
Alexandra Poulovassilis and David Auber and Nikos Bikakis and Panos K. Chrysanthis and George Papastefanatos and Mohamed A. Sharaf and Nikos Pelekis and Chiara Renso and Yannis Theodoridis and Karine Zeitouni and Tania Cerquitelli and Silvia Chiusano and Genoveva Vargas-Solar and Behrooz Omidvar-Tehrani and Katharina Morik and Jean-Michel Renders and Donatella Firmani and Letizia Tanca and Davide Mottin and Matteo Lissandrini and Yannis Velegrakis (editors),
Proceedings of International Workshop on Explainability for Trustworthy ML Pipelines (ETMLP-2020),
CEUR-WS.org,
2020.
|
| Saadallah/Morik/2020g |
Saadallah, Amal and Katharina, Morik.
Active Sampling for Learning Interpretable Surrogate Machine Learning Models.
In
IEEE International Conference on Data Science and Advanced Analytics (DSAA),
2020.
|
| Shao/etal/2020a |
Xiaoting Shao and Alejandro Molina and Antonio Vergari and Karl Stelzner and Robert Perharz and Thomas Liebig and Kristian Kersting.
Conditional Sum-Product Networks: Composing Neural Networks into Probabilistic Tractable Models.
In
Proceedings of the 10th International Conference on Probabilistic Graphical Models,
2020.
|
| Sliwa/etal/2020c |
Sliwa, Benjamin and Piatkowski, Nico and Wietfeld, Christian.
LIMITS: Lightweight machine learning for IoT systems with resource limitations.
In
ICC 2020-2020 IEEE International Conference on Communications (ICC),
pages 1-7,
IEEE,
Dublin, Ireland,
2020.
|
| Bunse/etal/2017a |
Bunse, M. and Bockermann, C. and Buss, J. and Morik, K. and Rhode, W. and Ruhe, T..
Smart Control of Monte Carlo Simulations for Astroparticle Physics.
In
Pascal Ballester and Jorge Ibsen and Mauricio Solar and Keith Shortridge (editors),
Astronomical Data Analysis Software and Systems (ADASS XXVII),
Vol. 522,
pages 417--420,
Astronomical Society of the Pacific,
2019.
|
| Bunse/etal/2019a |
Bunse, Mirko and Saadallah, Amal and Morik, Katharina.
Towards Active Simulation Data Mining.
In
Kottke, Daniel and Lemaire, Vincent and Calma, Adrian and Krempl, Georg and Holzinger, Andreas (editors),
Proc. of the 3rd Int. Tutorial and Workshop on Interactive Adaptive Learning at ECML-PKDD 2019,
Vol. 2444,
pages 104--107,
CEUR Workshop Proceedings,
2019.
|
| Bunse/Morik/2019a |
Bunse, Mirko and Morik, Katharina.
What Can We Expect from Active Class Selection?.
In
Jäschke, Robert and Weidlich, Matthias (editors),
Lernen, Wissen, Daten, Analysen (LWDA) conference proceedings,
Vol. 2454,
pages 79--83,
2019.
|
| Buschjaeger/etal/2019a |
Buschjäger, Sebastian and Liebig, Thomas and Morik, Katharina.
Gaussian Model Trees for Traffic Imputation.
In
Proceedings of the International Conference on Pattern Recognition Applications and Methods (ICPRAM),
pages 243 - 254,
SciTePress,
2019.
|
| Buss/etal/2016b |
Buss, Jens and Bockermann, Christian and Morik, Katharina and Rhode, Wolfgang and Ruhe, Tim.
FACT-Tools -- Processing High-Volume Telescope Data.
In
Marco Molinaro and Keith Shortridge and Fabio Pasian (editors),
26th Astronomical Data Analysis Software and Systems conference (ADASS),
Vol. 521,
pages 584,
Astronomical Society of the Pacific,
2019.
|
| Hess/etal/2019a |
Hess, Sibylle and Duivesteijn, Wouter and Honysz, Philipp-Jan and Morik, Katharina.
The SpectACl of Nonconvex Clustering: a Spectral Approach to Density-Based Clustering.
In
AAAI,
2019.
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| Kotthaus/etal/2019a |
Tözün, Pinar and Kotthaus, Helena.
Scheduling Data-Intensive Tasks on Heterogeneous Many Cores.
In
IEEE Data Engineering Bulletin,
Vol. 42,
No. 1,
pages 61-72,
2019.
|
| Kotthaus/etal/2019b |
Kotthaus, Helena and Schönberger, Lea and Lang, Andreas and Chen, Jian-Jia and Marwedel, Peter.
Can Flexible Multi-Core Scheduling Help to Execute Machine Learning Algorithms Resource-Efficiently?.
In
22nd International Workshop on Software and Compilers for Embedded Systems,
pages 59-62,
ACM,
2019.
|
| Meintrup/etal/2019a |
Meintrup, Stefan and Munteanu, Alexander and Rohde, Dennis.
Random projections and sampling algorithms for clustering of high-dimensional polygonal curves.
In
Advances in Neural Information Processing Systems 32 (NeurIPS),
pages 12807--12817,
2019.
|
| Pfahler/etal/2019b |
Pfahler, Lukas and Schill, Jonathan and Morik, Katharina.
The Search for Equations - Learning to Identify Similarities between Mathematical Expressions.
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Procs. ECML PKDD2019,
Springer,
2019.
|
| Shao/etal/2019a |
Xiaoting Shao and Alejandro Molina and Antonio Vergari and Karl Stelzner and Robert Peharz and Thomas Liebig and Kristian Kersting.
Conditional Sum-Product Networks: Imposing Structure on Deep Probabilistic Architectures.
In
Proceedings of the 3rd Workshop on Tractable Probabilistic Modeling at ICML2019,
pages accepted,
2019.
|
| Sliwa/etal/2019b |
Benjamin Sliwa and Thomas Liebig and Tim Vranken and Michael Schreckenberg and Christian Wietfeld.
System-of-systems modeling, analysis and optimization of hybrid vehicular traffic.
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2019 Annual IEEE International Systems Conference (SysCon),
Orlando, Florida, USA,
IEEE,
2019.
|
| Sliwa/etal/2019c |
Sliwa, Benjamin and Falkenberg, Robert and Liebig, Thomas and Piatkowski, Nico and Wietfeld, Christian.
Boosting Vehicle-to-cloud Communication by Machine Learning-enabled Context Prediction.
In
IEEE Transactions on Intelligent Transportation Systems,
2019.
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| Bunse/etal/2018b |
Bunse, Mirko and Piatkowski, Nico and Ruhe, Tim and Rhode, Wolfgang and Morik, Katharina.
Unification of Deconvolution Algorithms for Cherenkov Astronomy.
In
5th IEEE DSAA,
2018.
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| Buschjaeger/Morik/2017b |
Buschjäger, Sebastian and Morik, Katharina.
Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data.
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pages 209--222,
2018.
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| Driemel/Krivosija/2018a |
Driemel, Anne and Krivo\vsija, Amer.
Probabilistic embeddings of the Fr\'echet distance.
In
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Proceedings of the 16th International Workshop on Approximation and Online Algorithms (WAOA),
Vol. 11312,
pages 218-237,
Springer,
2018.
|
| Falkenberg/etal/2018b |
Robert Falkenberg and Benjamin Sliwa and Nico Piatkowski and Christian Wietfeld.
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks using Passive Downlink Indicators.
In
2018 IEEE 88th IEEE Vehicular Technology Conference (VTC-Fall),
Chicago, USA,
2018.
|
| Hess/etal/2018a |
Hess, Sibylle and Piatkowski, Nico and Morik, Katharina.
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization.
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Proceedings of the 2018 SIAM International Conference on Data Mining, SDM 2018, May 3-5, 2018, San Diego Marriott Mission Valley, San Diego, CA, USA.,
pages 405--413,
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2018.
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| Kotthaus/2018a |
Kotthaus, Helena.
Methods for Efficient Resource Utilization in Statistical Machine Learning Algorithms.
TU Dortmund University,
Dortmund,
Department of Computer Science,
2018.
|
| Masoudinejad/etal/2018b |
Masoudinejad, Mojtaba and Venkatapathy Ramachandran , Karthik Aswin and Tondorf, David and Heinrich, Danny and Falkenberg, Robert and Buschhoff, Markus.
Machine Learning Based Indoor Localisation using Environmental data in PhyNetLab Warehouse.
2018.
|
| Molina/etal/2018a |
Molina, Alejandro and Munteanu, Alexander and Kersting, Kristian.
Core Dependency Networks.
In
Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI),
2018.
|
| Munteanu/Schwiegelshohn/2018a |
Munteanu, Alexander and Schwiegelshohn, Chris.
Coresets - Methods and History: A Theoreticians Design Pattern for Approximation and Streaming Algorithms.
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KI - Künstliche Intelligenz,
Vol. 32,
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2018.
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| Piatkowski/2018a |
Piatkowski, Nico.
Exponential Families on Resource-Constrained Systems.
TU Dortmund University,
Dortmund,
2018.
|
| Piatkowski/Morik/2018a |
Piatkowski, Nico and Morik, Katharina.
Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation.
In
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, UAI 2018, California, USA, August 6-10, 2018,
2018.
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| Saadallah/etal/2018a |
Saadallah, Amal and Finkeldey, Felix and Morik, Katharina and Wiederkehr, Petra.
Stability prediction in milling processes using a simulation-based machine learning approach.
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51st CIRP conference on Manufacturing Systems,
Elsevier,
2018.
|
| Schiffers/2018a |
Schiffers, Reinhard and Morik, Katharina and Schulze Struchtrup, Alexander and Honysz, Philipp-Jan and Wortberg, Johannes.
Anomaly detection in injection molding process data based on unsupervised learning.
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2018.
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| Sliwa/etal/2018a |
Sliwa, Benjamin and Liebig, Thomas and Falkenberg, Robert and Pillmann, Johannes and Wietfeld, Christian.
Efficient machine-type communication using multi-metric context-awareness for cars used as mobile sensors in upcoming 5G networks.
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2018.
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| Sliwa/etal/2018c |
Benjamin Sliwa and Thomas Liebig and Robert Falkenberg and Johannes Pillmann and Christian Wietfeld.
Machine learning based context-predictive car-to-cloud communication using multi-layer connectivity maps for upcoming 5G networks.
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2018 IEEE 88th IEEE Vehicular Technology Conference (VTC-Fall),
Chicago, USA,
2018.
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| Sliwa/etal/2018d |
Benjamin Sliwa and Thomas Liebig and Robert Falkenberg and Johannes Pillmann and Christian Wietfeld.
Resource-efficient transmission of vehicular sensor data using context-aware communication.
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Aalborg, Denmark,
2018.
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| Sliwa/etal/2018e |
Benjamin Sliwa and Nico Piatkowski and Marcus Haferkamp and Dennis Dorn and Christian Wietfeld.
Leveraging the channel as a sensor: Real-time vehicle classification using multidimensional radio-fingerprinting.
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2018 IEEE 21st International Conference on Intelligent Transportation Systems (ITSC),
Maui, Hawaii, USA,
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| VonDerBrueggen/etal/2018a |
von der Brüggen, Georg and Piatkowski, Nico and Chen, Kuan-Hsun and Chen, Jian-Jia and Morik, Katharina.
Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems.
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LIPIcs,
2018.
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| Bruegge/etal/2017a |
Brügge, Kai and Egorov, Alexey and Bockermann, Christian and Morik, Katharina and Rhode, Wolfgang.
Distributed Real-Time Data Stream Analysis for CTA.
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Kerrison, Steve and Buschhoff, Markus and Nunez-Yanez, Jose and Eder, Kerstin.
Measuring Energy.
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ICT - Energy Concepts for Energy Efficiency and Sustainability,
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| Buschjaeger/etal/2017a |
Buschjäger, Sebastian and Morik, Katharina and Schmidt, Maik.
Summary Extraction on Data Streams in Embedded Systems.
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2017.
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| Deuse/etal/2017a |
Deuse, J. and Schmitt, J. and Stolpe, M. and Wiegand, M. and Morik, K..
Qualitätsprognosen zur Engpassentlastung in der Injektorfertigung unter Einsatz von Data Mining.
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| Hess/etal/2017a |
Hess, Sibylle and Morik, Katharina and Piatkowski, Nico.
The PRIMPING routine---Tiling through proximal alternating linearized minimization.
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| Hess/Morik/2017a |
Hess, Sibylle and Morik, Katharina.
C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization.
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| Kotthaus/etal/2017a |
Kotthaus, Helena and Richter, Jakob and Lang, Andreas and Thomas, Janek and Bischl, Bernd and Marwedel, Peter and Rahnenführer, Jörg and Lang, Michel.
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization.
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| Liebig/etal/2017b |
Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina.
Dynamic Route Planning with Real-Time Traffic Predictions.
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Kleiner, M. and Dirksen, U. and Chatti, K. and Morik, K. and Ritthoff, O..
Online-Regelung fuer das Profilbiegen mit Methoden der Computational Intelligence.
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Klinkenberg, Ralf and Ritthoff, Oliver and Morik, Katharina.
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Morik, Katharina and Joachims, T. and Imhoff, M. and Brockhausen, P. and Rüping, S..
Integrating Kernel Methods into a Knowledge-based Approach to Evidence-based Medicine.
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Morik, Katharina and Hüppe, Christian and Unterstein, Klaus.
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Morik, Katharina and Rüping, Stefan.
A Multistrategy Approach to the Classification of Phases in Business Cycles.
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| Novak/etal/2002a |
Novak, Jasminko and Fleischmann, Monika and Strauss, Wolfgang and Schneider, Martin and Wurst, Michael and Morik, Katharina and Ziegler, Jurgen and Kunz, Christoph.
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Scholz, Martin.
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Stefan Haustein.
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Using Labeled and Unlabeled Data to Learn Drifting Concepts.
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Scholz, Martin and Haustein, Stefan.
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The Knowledge Agency.
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| Haustein/Luedecke/2000a |
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Towards Information Agent Interoperability.
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| Imhoff/etal/2000a |
Imhoff, Michael and Gather, Ursula and Morik, Katharina.
Dynamic Knowledge Discovery and Validation for Medical Decision Support.
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Klinkenberg, Ralf and Joachims, Thorsten.
Detecting Concept Drift with Support Vector Machines.
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Morik, Katharina.
The Representation Race - Preprocessing for Handling Time Phenomena.
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Morik, Katharina and Imhoff, Michael and Brockhausen, Peter and Joachims, Thorsten and Gather, Ursula.
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Morik, Katharina and Haustein, Stefan.
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Wrobel, Stephan and Morik, Katharina and Joachims, Thorsten.
Maschinelles Lernen und Data Mining.
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Peter Brockhausen.
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Peter Brockhausen.
Learning First--Order Rules in Intensive Care Monitoring.
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| Bullerdick/Ritthoff/99b |
Bullerdick,Kai and Ritthoff,Oliver.
mAGENTa - Ein Internet-Agent zur automatischen Generierung von graphischen Benutzeroberflachen mittels maschineller Lernverfahren am Beispiel radiologischer Befunde.
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Haustein, Stefan and Ludecke, Sascha.
Kombination von Agenten- und Blackboard-Technologien fur betriebswirtschaftliche Anwendungen.
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| Kaiser/etal/99a |
Kaiser, Michael and Friedrich, Holger and Klingspor, Volker and Morik, Katharina.
Learning in Human-Robot Communication.
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Volker Klingspor and Morik, Katharina.
Learning Understandable Concepts for Robot Navigation.
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| Klingspor/Morik/99b |
Klingspor, Volker and Morik, Katharina.
Towards Concept Formation Grounded on Perception and Action of an Autonomus Mobile Robot.
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| Klingspor/Morik/99c |
Volker Klingspor and Morik, Katharina.
Learning Operational Concepts as the Basis for Human-Robot Communication.
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| Morik/99b |
Katharina Morik.
Tailoring Representations to Different Requirements.
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| Morik/etal/99a |
Morik, Katharina and Brockhausen, Peter and Joachims, Thorsten.
Combining statistical learning with a knowledge-based approach -- A case study in intensive care monitoring.
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K. Morik and V. Klingspor and M. Kaiser.
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Kluwer Academic Press,
1999.
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| Morik/etal/99c |
Morik, Katharina and Pigeotb, Iris and Robers, Ursula.
CORA -- A knowledge-based system for the analysis of case-control studies.
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| Morik/Imhoff/99a |
Morik, Katharina and Imhoff, Michael.
Vergleich medizinischen Wissens und des aus einer intensivmedizinischen Datenbank gewonnenen Wissens am Beispiel des haemodynamischen Monitorings.
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| Morik/Muehlenbrock/99a |
Morik, Katharina and Muehlenbrock, Martin.
Conceptual Change in the Explanations of Phenomena in Astronomy.
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| Morik/Wessel/99a |
Morik, Katharina and Wessel, Stephanie.
Incremental Signal to Symbol Processing.
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| Rieger/Klingspor/99a |
Rieger, Anke and Klingspor, Volker.
Program Optimization for Real-Time Performance.
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| Brockhausen/Morik/98a |
Brockhausen, Peter and Morik, Katharina.
Wissensentdeckung in relationalen Datenbanken: Eine Herausforderung für das maschinelle Lernen.
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| Klinkenberg/Renz/98a |
Klinkenberg, Ralf and Renz, Ingrid.
Adaptive Information Filtering: Learning in the Presence of Concept Drifts.
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1998.
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| Muehlenbrock/Morik/98a |
Mühlenbrock, Martin and Morik, Katharina.
Rekonstruktion des Erwerbs einer Begriffsstruktur zur Erklärung des Tag/Nacht-Zyklus.
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Anke Rieger and Klingspor, Volker.
Program Optimization for Real-Time Performance.
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