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ORCIDKatharina Morik
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- affiliation: Technical University of Dortmund, Germany
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2020 – today
- 2024
[j56]Raphael Fischer, Thomas Liebig, Katharina Morik:
Towards more sustainable and trustworthy reporting in machine learning. Data Min. Knowl. Discov. 38(4): 1909-1928 (2024)- [c115]Dimitrios Tomaras
, Sebastian Buschjäger, Vana Kalogeraki, Katharina Morik, Dimitrios Gunopulos:
STRATA: Random Forests going Serverless. Middleware 2024: 22-35 - 2023
- [j55]Sebastian Buschjäger, Katharina Morik:
Joint leaf-refinement and ensemble pruning through L1 regularization. Data Min. Knowl. Discov. 37(3): 1230-1261 (2023) - [i29]Raphael Fischer, Matthias Jakobs, Katharina Morik:
Energy Efficiency Considerations for Popular AI Benchmarks. CoRR abs/2304.08359 (2023) - [i28]Simon Koschel, Sebastian Buschjäger, Claudio Lucchese, Katharina Morik:
Fast Inference of Tree Ensembles on ARM Devices. CoRR abs/2305.08579 (2023) - 2022
- [j54]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) - [j53]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) - [j52]Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik:
Randomized outlier detection with trees. Int. J. Data Sci. Anal. 13(2): 91-104 (2022) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [c114]Sebastian Buschjäger, Sibylle Hess, Katharina Morik:
Shrub Ensembles for Online Classification. AAAI 2022: 6123-6131 - [c113]Amal Saadallah, Hanna Mykula, Katharina Morik:
Online Adaptive Multivariate Time Series Forecasting. ECML/PKDD (6) 2022: 19-35 - [c112]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 - [c111]Martin Senz, Mirko Bunse, Katharina Morik:
Certifiable Active Class Selection in Multi-Class Classification. IAL@PKDD/ECML 2022: 68-76 - [p18]Katharina Morik, Jian-Jia Chen:
Introduction. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 1-13 - [p17]Katharina Morik, Jörg Rahnenführer, Christian Wietfeld:
Editorial. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 1-2 - [p16]Wolfgang Rhode, Katharina Morik:
Introduction. Mach. Learn. under Resour. Constraints Vol. 2 (2) 2022: 1-29 - [p15]Katharina Morik, Mirko Bunse:
Key Concepts in Machine Learning and Data Analysis. Mach. Learn. under Resour. Constraints Vol. 2 (2) 2022: 51-75 - [p14]Sebastian Buschjäger, Katharina Morik:
Summary Extraction from Streams. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 73-84 - [p13]Nico Piatkowski, Katharina Morik:
Spatio-Temporal Random Fields. Mach. Learn. under Resour. Constraints Vol. 1 (1) 2022: 100-115 - [p12]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 - [p11]Marco Stolpe, Katharina Morik:
Label Proportion Learning. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 136-156 - [p10]Petra Wiederkehr, Katharina Morik, Amal Saadallah, Felix Finkeldey:
Simulation and Machine Learning. Mach. Learn. under Resour. Constraints Vol. 3 (3) 2022: 157-179 - [e14]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] - [e13]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] - [e12]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] - [i27]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
- [j47]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, 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) - [c110]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 - [c109]Amal Saadallah, Katharina Morik:
Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting. DSAA 2021: 1-8 - [c108]Amal Saadallah, Maryam Tavakol, Katharina Morik:
An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting. ICDE 2021: 2255-2260 - [c107]Amal Saadallah, Katharina Morik:
Meta-Adversarial Training of Neural Networks for Binary Classification. IJCNN 2021: 1-7 - [c106]Felix Gonsior, Sascha Mücke, Katharina Morik:
Structure Search for Normalizing Flows. LWDA 2021: 98-105 - [c105]Mirko Bunse, Katharina Morik:
Active Class Selection with Uncertain Class Proportions. IAL@PKDD/ECML 2021: 70-79 - [c104]Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik:
Very Fast Streaming Submodular Function Maximization. ECML/PKDD (3) 2021: 151-166 - [c103]Mirko Bunse, Katharina Morik:
Certification of Model Robustness in Active Class Selection. ECML/PKDD (2) 2021: 266-281 - [c102]Amal Saadallah, Matthias Jakobs, Katharina Morik:
Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting. ECML/PKDD (1) 2021: 404-420 - [c101]Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik, Björn B. Brandenburg:
Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF. RTSS 2021: 214-226 - [p9]Raja Chatila, Virginia Dignum, Michael Fisher, Fosca Giannotti, Katharina Morik, Stuart Russell, Karen Yeung:
Trustworthy AI. Reflections on Artificial Intelligence for Humanity 2021: 13-39 - [i26]Philipp-Jan Honysz, Sebastian Buschjäger, Katharina Morik:
GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering. CoRR abs/2101.08763 (2021) - [i25]Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Bit Error Tolerance Metrics for Binarized Neural Networks. CoRR abs/2102.01344 (2021) - [i24]Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski:
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework. CoRR abs/2105.10197 (2021) - [i23]Philipp-Jan Honysz, Alexander Schulze-Struchtrup, Sebastian Buschjäger, Katharina Morik:
Providing Meaningful Data Summarizations Using Examplar-based Clustering in Industry 4.0. CoRR abs/2105.12026 (2021) - [i22]Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski:
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning. CoRR abs/2106.00512 (2021) - [i21]Lukas Pfahler, Mirko Bunse, Katharina Morik:
Noisy Labels for Weakly Supervised Gamma Hadron Classification. CoRR abs/2108.13396 (2021) - [i20]Lukas Pfahler, Katharina Morik:
Explaining Deep Learning Representations by Tracing the Training Process. CoRR abs/2109.05880 (2021) - [i19]Sebastian Buschjäger, Katharina Morik:
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement. CoRR abs/2110.10075 (2021) - [i18]Sebastian Buschjäger, Katharina Morik:
There is no Double-Descent in Random Forests. CoRR abs/2111.04409 (2021) - [i17]Sebastian Buschjäger, Sibylle Hess, Katharina Morik:
Shrub Ensembles for Online Classification. CoRR abs/2112.03723 (2021) - 2020
- [j46]Felix Finkeldey, Amal Saadallah, Petra Wiederkehr, Katharina Morik:
Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data. Eng. Appl. Artif. Intell. 94: 103753 (2020) - [j45]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, 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, 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. Trans. Data Priv. 13(1): 61-66 (2020) - [c100]Amal Saadallah, Katharina Morik:
Active Sampling for Learning Interpretable Surrogate Machine Learning Models. DSAA 2020: 264-272 - [c99]Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik:
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. DSAA 2020: 546-555 - [c98]Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik:
Generalized Isolation Forest: Some Theory and More Applications Extended Abstract. DSAA 2020: 793-794 - [c97]Mirko Bunse, Dorina Weichert, Alexander Kister, Katharina Morik:
Optimal Probabilistic Classification in Active Class Selection. ICDM 2020: 942-947 - [c96]Lukas Pfahler, Katharina Morik:
Semantic Search in Millions of Equations. KDD 2020: 135-143 - [c95]Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik:
Solving Abstract Reasoning Tasks with Grammatical Evolution. LWDA 2020: 6-10 - [c94]Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops 2020: 129-144 - [c93]Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode:
On-Site Gamma-Hadron Separation with Deep Learning on FPGAs. ECML/PKDD (4) 2020: 478-493 - [e11]Alexandra Poulovassilis, David Auber, Nikos Bikakis, Panos K. Chrysanthis, George Papastefanatos, Mohamed A. Sharaf, Nikos Pelekis, Chiara Renso, Yannis Theodoridis, Karine Zeitouni, Tania Cerquitelli, Silvia Chiusano, Genoveva Vargas-Solar, Behrooz Omidvar-Tehrani, Katharina Morik, Jean-Michel Renders, Donatella Firmani, Letizia Tanca, Davide Mottin, Matteo Lissandrini, Yannis Velegrakis:
Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, Copenhagen, Denmark, March 30, 2020. CEUR Workshop Proceedings 2578, CEUR-WS.org 2020 [contents] - [i16]Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla:
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. CoRR abs/2002.00909 (2020) - [i15]Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandè, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani:
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR abs/2004.05222 (2020) - [i14]Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik:
Resource-Constrained On-Device Learning by Dynamic Averaging. CoRR abs/2009.12098 (2020) - [i13]Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik:
Very Fast Streaming Submodular Function Maximization. CoRR abs/2010.10059 (2020) - [i12]Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Giovanna Tinetti, Subhajit Sarkar, James M. Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petkovic, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik:
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR abs/2010.15996 (2020) - [i11]Sebastian Buschjäger, Lukas Pfahler, Katharina Morik:
Generalized Negative Correlation Learning for Deep Ensembling. CoRR abs/2011.02952 (2020)
2010 – 2019
- 2019
- [c92]Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik:
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. AAAI 2019: 3788-3795 - [c91]Mirko Bunse, Nico Piatkowski, Tim Ruhe, Katharina Morik, Wolfgang Rhode:
A Data Science Perspective on Deconvolution. GI-Jahrestagung 2019: 279-280 - [c90]Sebastian Buschjäger, Thomas Liebig, Katharina Morik:
Gaussian Model Trees for Traffic Imputation. ICPRAM 2019: 243-254 - [c89]Amal Saadallah, Nico Piatkowski, Felix Finkeldey, Petra Wiederkehr, Katharina Morik:
Learning Ensembles in the Presence of Imbalanced Classes. ICPRAM 2019: 866-873 - [c88]Mirko Bunse, Katharina Morik:
What Can We Expect from Active Class Selection? LWDA 2019: 79-83 - [c87]Raphael Fischer, Nico Piatkowski, Katharina Morik:
Parameter Sharing for Spatio-Temporal Process Models. LWDA 2019: 89-93 - [c86]Felix Gonsior, Nico Piatkowski, Katharina Morik:
Another View on Optimization as Probabilistic Inference. LWDA 2019: 106-110 - [c85]Sascha Mücke, Nico Piatkowski, Katharina Morik:
Learning Bit by Bit: Extracting the Essence of Machine Learning. LWDA 2019: 144-155 - [c84]Maryam Tavakol, Sebastian Mair, Katharina Morik:
HyperUCB: Hyperparameter Optimization Using Contextual Bandits. PKDD/ECML Workshops (1) 2019: 44-50 - [c83]Sascha Mücke, Nico Piatkowski, Katharina Morik:
Hardware Acceleration of Machine Learning Beyond Linear Algebra. PKDD/ECML Workshops (1) 2019: 342-347 - [c82]Amal Saadallah, Florian Priebe, Katharina Morik:
A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting. ECML/PKDD (1) 2019: 678-694 - [c81]Lukas Pfahler, Jonathan Schill, Katharina Morik:
The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions. ECML/PKDD (3) 2019: 704-718 - [i10]Sibylle Hess, Katharina Morik, Nico Piatkowski:
The PRIMPing Routine - Tiling through Proximal Alternating Linearized Minimization. CoRR abs/1906.09722 (2019) - [i9]Sibylle Hess, Katharina Morik:
C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. CoRR abs/1906.09907 (2019) - [i8]Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik:
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. CoRR abs/1907.00680 (2019) - [i7]Sibylle Hess, Nico Piatkowski, Katharina Morik:
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. CoRR abs/1907.00697 (2019) - 2018
- [j44]Katharina Morik, Christian Bockermann, Sebastian Buschjäger:
Big Data Science. Künstliche Intell. 32(1): 27-36 (2018) - [j43]Sebastian Buschjäger, Katharina Morik:
Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(1): 209-222 (2018) - [c80]Lukas Pfahler, Frederik Elwert, Samira Tabti, Katharina Morik, Volker Krech:
What do you do with 5 million posts? Versuche zum distant reading religiöser Online-Foren. DHd 2018 - [c79]Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode:
Unification of Deconvolution Algorithms for Cherenkov Astronomy. DSAA 2018: 21-30 - [c78]Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik:
Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems. ECRTS 2018: 6:1-6:22 - [c77]Sebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik:
Realization of Random Forest for Real-Time Evaluation through Tree Framing. ICDM 2018: 19-28 - [c76]Mirko Bunse, Nico Piatkowski, Katharina Morik:
Towards a Unifying View on Deconvolution in Cherenkov Astronomy. LWDA 2018: 73-77 - [c75]Erich Schubert, Sibylle Hess, Katharina Morik:
The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering. LWDA 2018: 330-334 - [c74]Lukas Pfahler, Katharina Morik:
Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent. ECML/PKDD (2) 2018: 209-224 - [c73]Sibylle Hess, Nico Piatkowski, Katharina Morik:
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. SDM 2018: 405-413 - [c72]Nico Piatkowski, Katharina Morik:
Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation. UAI 2018: 715-724 - 2017
- [j42]Sibylle Hess, Katharina Morik, Nico Piatkowski:
The PRIMPING routine - Tiling through proximal alternating linearized minimization. Data Min. Knowl. Discov. 31(4): 1090-1131 (2017) - [j41]Gennady L. Andrienko, Dimitrios Gunopulos, Yannis E. Ioannidis, Vana Kalogeraki, Ioannis Katakis, Katharina Morik, Olivier Verscheure:
Mining Urban Data (Part C). Inf. Syst. 64: 219-220 (2017) - [j40]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Dynamic route planning with real-time traffic predictions. Inf. Syst. 64: 258-265 (2017) - [c71]Frederik Elwert, Samira Tabti, Volkhard Krech, Katharina Morik, Lukas Pfahler:
relNet - Modellierung von Themen und Strukturen religiöser Online-Kommunikation. DHd 2017 - [c70]Lukas Pfahler, Katharina Morik, Frederik Elwert, Samira Tabti, Volkhard Krech:
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization. DSAA 2017: 21-29 - [c69]Sebastian Buschjäger, Katharina Morik, Maik Schmidt:
Summary Extraction on Data Streams in Embedded Systems. IOTSTREAMING@PKDD/ECML 2017 - [c68]Sibylle Hess, Katharina Morik:
C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. ECML/PKDD (1) 2017: 547-563 - [r2]Katharina Morik:
Medicine: Applications of Machine Learning. Encyclopedia of Machine Learning and Data Mining 2017: 809-817 - 2016
- [j39]Mario Wiegand, Marco Stolpe, Jochen Deuse, Katharina Morik:
Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten. Autom. 64(7): 521-533 (2016) - [j38]Nico Piatkowski, Sangkyun Lee, Katharina Morik:
Integer undirected graphical models for resource-constrained systems. Neurocomputing 173: 9-23 (2016) - [j37]Gennady L. Andrienko, Dimitrios Gunopulos, Yannis E. Ioannidis, Vana Kalogeraki, Ioannis Katakis, Katharina Morik, Olivier Verscheure:
Mining Urban Data (Part B). Inf. Syst. 57: 75-76 (2016) - [j36]Christian Pölitz, Wouter Duivesteijn, Katharina Morik:
Interpretable domain adaptation via optimization over the Stiefel manifold. Mach. Learn. 104(2-3): 315-336 (2016) - [c67]Nico Piatkowski, Katharina Morik:
Stochastic Discrete Clenshaw-Curtis Quadrature. ICML 2016: 3000-3009 - [c66]Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko:
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. ECML/PKDD (3) 2016: 22-26 - [c65]Hendrik Blom, Katharina Morik:
Resource-Aware Steel Production Through Data Mining. ECML/PKDD (3) 2016: 263-266 - [p8]Marco Stolpe, Hendrik Blom, Katharina Morik:
Sustainable Industrial Processes by Embedded Real-Time Quality Prediction. Computational Sustainability 2016: 201-243 - [e10]Jörg Lässig, Kristian Kersting, Katharina Morik:
Computational Sustainability. Studies in Computational Intelligence 645, Springer 2016, ISBN 978-3-319-31856-1 [contents] - [i6]Elena Erdmann, Karin Boczek, Lars Koppers, Gerret von Nordheim, Christian Pölitz, Alejandro Molina, Katharina Morik, Henrik Müller, Jörg Rahnenführer, Kristian Kersting:
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. CoRR abs/1606.05110 (2016) - 2015
- [c64]Christian Pölitz, Katharina Morik:
Big Data und Data Mining in den Digital Humanities. DHd 2015 - [c63]Thomas Liebig, Marco Stolpe, Katharina Morik:
Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI. MUD@ICML 2015: 36-43 - [c62]Katharina Morik, Hugh F. Durrant-Whyte, Gary C. Hill, Dietmar Müller, Tanya Y. Berger-Wolf:
Data Driven Science: SIGKDD Panel. KDD 2015: 2329-2330 - [c61]Christian Bockermann, Kai Brügge, Jens Buß, Alexey Egorov, Katharina Morik, Wolfgang Rhode, Tim Ruhe:
Online Analysis of High-Volume Data Streams in Astroparticle Physics. ECML/PKDD (3) 2015: 100-115 - [c60]Mathis Börner, Wolfgang Rhode, Tim Ruhe, Katharina Morik:
Discovering Neutrinos Through Data Analytics. ECML/PKDD (3) 2015: 208-212 - [c59]Christian Pölitz, Thomas Bartz, Katharina Morik, Angelika Störrer:
Investigation of Word Senses over Time Using Linguistic Corpora. TSD 2015: 191-198 - [e9]Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik, Gennady L. Andrienko, Shie Mannor:
Proceedings of the 2nd International Workshop on Mining Urban Data co-located with 32nd International Conference on Machine Learning (ICML 2015), Lille, France, July 11th, 2015. CEUR Workshop Proceedings 1392, CEUR-WS.org 2015 [contents] - 2014
- [c58]Thomas Bartz, Christian Pölitz, Katharina Morik, Angelika Storrer:
Using Data Mining and the CLARIN Infrastructure to Extend Corpus-based Linguistic Research. CLARIN Annual Conference 2014: 1-13 - [c57]Katharina Morik:
Resource-Aware Data Analysis. DATA 2014: IS-7 - [c56]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Predictive Trip Planning - Smart Routing in Smart Cities. EDBT/ICDT Workshops 2014: 331-338 - [c55]François Schnitzler, Thomas Liebig, Shie Mannor, Katharina Morik:
Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. EDBT/ICDT Workshops 2014: 373-374 - [c54]Alexander Artikis, Matthias Weidlich, François Schnitzler, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dimitrios Gunopulos, Dermot Kinane:
Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. EDBT 2014: 712-723 - [c53]Nico Piatkowski, Sangkyun Lee, Katharina Morik:
The Integer Approximation of Undirected Graphical Models. ICPRAM 2014: 296-304 - [c52]Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik:
Route Planning with Real-Time Traffic Predictions. LWA 2014: 83-94 - [c51]Nico Piatkowski, Katharina Morik:
Towards an Integer Approximation of Undirected Graphical Models. LWA 2014: 123-124 - [c50]Sibylle Hess, Nico Piatkowski, Katharina Morik:
SHrimp: Descriptive Patterns in a Tree. LWA 2014: 181-192 - [c49]François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos:
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. ECML/PKDD (3) 2014: 520-523 - 2013
- [j35]Nico Piatkowski, Sangkyun Lee, Katharina Morik:
Spatio-temporal random fields: compressible representation and distributed estimation. Mach. Learn. 93(1): 115-139 (2013) - [c48]Nico Piatkowski, Jochen Streicher, Olaf Spinczyk, Katharina Morik:
Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems. MSM/MUSE 2013: 116-130 - [c47]Marco Stolpe, Kanishka Bhaduri, Kamalika Das, Katharina Morik:
Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines. ECML/PKDD (3) 2013: 321-336 - [p7]Stefan Wrobel, Thorsten Joachims, Katharina Morik:
Maschinelles Lernen und Data Mining. Handbuch der Künstlichen Intelligenz 2013: 405-472 - 2012
- [j34]Katharina Morik, Kanishka Bhaduri, Hillol Kargupta:
Introduction to data mining for sustainability. Data Min. Knowl. Discov. 24(2): 311-324 (2012) - [j33]Katharina Morik, Andreas Kaspari, Michael Wurst, Marcin Skirzynski:
Multi-objective frequent termset clustering. Knowl. Inf. Syst. 30(3): 715-738 (2012) - [c46]Sangkyun Lee, Marco Stolpe, Katharina Morik:
Separable Approximate Optimization of Support Vector Machines for Distributed Sensing. ECML/PKDD (2) 2012: 387-402 - [i5]Christopher W. Clifton, Bart Kuijpers, Katharina Morik, Yücel Saygin:
Mobility Data Mining and Privacy (Dagstuhl Seminar 12331). Dagstuhl Reports 2(8): 16-53 (2012) - 2011
- [c45]Nico Piatkowski, Katharina Morik:
Parallel Loopy Belief Propagation in Conditional Random Fields. LWA 2011: 122-128 - [c44]Marco Stolpe, Katharina Morik:
Learning from Label Proportions by Optimizing Cluster Model Selection. ECML/PKDD (3) 2011: 349-364 - [c43]Katrin Tomanek, Katharina Morik:
Inspecting Sample Reusability for Active Learning. Active Learning and Experimental Design @ AISTATS 2011: 169-181 - [p6]Benjamin Schowe, Katharina Morik:
Fast-Ensembles of Minimum Redundancy Feature Selection. Ensembles in Machine Learning Applications 2011: 75-95 - 2010
- [c42]Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe, Jochen Streicher:
Towards Adjusting Mobile Devices to User's Behaviour. MSM/MUSE 2010: 99-118 - [c41]Katharina Morik, Felix Jungermann, Nico Piatkowski, Michael Engel:
Enhancing Ubiquitous Systems through System Call Mining. ICDM Workshops 2010: 1338-1345 - [c40]Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe:
Towards Adjusting Mobile Devices to User's Behaviour. LWA 2010: 51-58 - [c39]Benjamin Schowe, Katharina Morik:
Fast-Ensembles of Minimum Redundancy Feature Selection. LWA 2010: 137 - [p5]Katharina Morik:
Nemoz - A Distributed Framework for Collaborative Media Organization. Ubiquitous Knowledge Discovery 2010: 199-215 - [p4]Katharina Morik, Michael Wurst:
Clustering the Web 2.0. Advances in Machine Learning II 2010: 207-223 - [r1]Katharina Morik:
Medicine: Applications of Machine Learning. Encyclopedia of Machine Learning 2010: 654-661
2000 – 2009
- 2009
- [c38]Katharina Morik:
Handling Texts ? A Challenge for Data Mining. EGC 2009: 5 - [c37]Martin Had, Felix Jungermann, Katharina Morik:
Relation Extraction for Monitoring Economic Networks. LWA 2009: KDML:37-43 - [c36]Martin Had, Felix Jungermann, Katharina Morik:
Relation Extraction for Monitoring Economic Networks. NLDB 2009: 103-114 - 2008
- [j32]Ingo Mierswa, Katharina Morik:
About the non-convex optimization problem induced by non-positive semidefinite kernel learning. Adv. Data Anal. Classif. 2(3): 241-258 (2008) - [j31]Walter Daelemans, Bart Goethals, Katharina Morik:
Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008. Data Min. Knowl. Discov. 17(1): 1-2 (2008) - [j30]Walter Daelemans, Bart Goethals, Katharina Morik:
Guest Editors' introduction: special issue of selected papers from ECML PKDD 2008. Mach. Learn. 72(3): 155-156 (2008) - [c35]Christian Bockermann, Ingo Mierswa, Katharina Morik:
On the Automated Creation of Understandable Positive Security Models for Web Applications. LWA 2008: 12-17 - [c34]Felix Jungermann, Katharina Morik:
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining. LWA 2008: 50-56 - [c33]Felix Jungermann, Katharina Morik:
Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining. NLDB 2008: 335-336 - [c32]Christian Bockermann, Ingo Mierswa, Katharina Morik:
On the Automated Creation of Understandable Positive Security Models for Web Applications. PerCom 2008: 554-559 - [p3]Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menasalvas, Katharina Morik, Rasmus Ulslev Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, Koen Vanhoof:
Research Challenges in Ubiquitous Knowledge Discovery. Next Generation of Data Mining 2008 - [e8]Walter Daelemans, Bart Goethals, Katharina Morik:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I. Lecture Notes in Computer Science 5211, Springer 2008, ISBN 978-3-540-87478-2 [contents] - [e7]Walter Daelemans, Bart Goethals, Katharina Morik:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5212, Springer 2008, ISBN 978-3-540-87480-5 [contents] - 2007
- [j29]Michael Wurst, Katharina Morik:
Distributed feature extraction in a p2p setting - a case study. Future Gener. Comput. Syst. 23(1): 69-75 (2007) - [e6]Michael R. Berthold, Katharina Morik, Arno Siebes:
Parallel Universes and Local Patterns, 01.05. - 04.05.2007. Dagstuhl Seminar Proceedings 07181, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007 [contents] - [i4]Michael R. Berthold, Katharina Morik, Arno Siebes:
07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007 - [i3]Michael R. Berthold, Katharina Morik, Arno Siebes:
07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns 2007 - [i2]Katharina Morik, Michael Wurst:
Multi-Aspect Tagging for Collaborative Structuring. Parallel Universes and Local Patterns 2007 - 2006
- [c31]Michael Wurst, Katharina Morik, Ingo Mierswa:
Localized Alternative Cluster Ensembles for Collaborative Structuring. ECML 2006: 485-496 - [c30]Oliver Flasch, Andreas Kaspari, Katharina Morik, Michael Wurst:
Aspect-Based Tagging for Collaborative Media Organization. WebMine 2006: 122-141 - 2005
- [j28]Katharina Morik, Georgi Ostrowski, Tobias Pröger:
Schülerinnen und Schüler an der Universität. Inform. Spektrum 28(1): 53-56 (2005) - [j27]Katharina Morik:
Musik und Informatik. Inform. Spektrum 28(5): 361 (2005) - [j26]Ingo Mierswa, Katharina Morik:
Merkmalsextraktion aus Audiodaten Evolutionäre Aufzucht von Methodenbäumen. Inform. Spektrum 28(5): 381-388 (2005) - [j25]Ingo Mierswa, Katharina Morik:
Automatic Feature Extraction for Classifying Audio Data. Mach. Learn. 58(2-3): 127-149 (2005) - [c29]Ingo Mierswa, Katharina Morik:
Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data. GECCO Workshops 2005: 293-300 - [c28]Katharina Morik:
Applications of Knowledge Discovery. IEA/AIE 2005: 1-5 - [c27]Helge Homburg, Ingo Mierswa, Bülent Möller, Katharina Morik, Michael Wurst:
A Benchmark Dataset for Audio Classification and Clustering. ISMIR 2005: 528-531 - [e5]Katharina Morik, Jean-François Boulicaut, Arno Siebes:
Local Pattern Detection, International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3539, Springer 2005, ISBN 3-540-26543-0 [contents] - 2004
- [c26]Katharina Morik, Hanna Köpcke:
Features for Learning Local Patterns in Time-Stamped Data. Local Pattern Detection 2004: 98-114 - [c25]Katharina Morik, Hanna Köpcke:
Analysing Customer Churn in Insurance Data - A Case Study. PKDD 2004: 325-336 - [e4]Jean-François Boulicaut, Katharina Morik, Arno Siebes:
Detecting Local Patterns, 12.04. - 16.04.2004. Dagstuhl Seminar Proceedings 04161, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2004 [contents] - [i1]Jean-François Boulicaut, Katharina Morik, Arno Siebes:
04161 Abstracts Collection - Detecting Local Patterns. Detecting Local Patterns 2004 - 2003
- [c24]Stefan Rüping, Katharina Morik:
Support vector machines and learning about time. ICASSP (4) 2003: 864-867 - [c23]Jasminko Novak, Monika Fleischmann, Wolfgang Strauss, Michael Wurst, Katharina Morik, Christoph Kunz, Jürgen Ziegler:
Verbindung heterogener Experten-Communities durch die Entdeckung, Visualisierung und Nutzbarmachung von stillem Wissen - das AWAKE Projekt. MuC 2003 - [p2]Stefan Wrobel, Katharina Morik, Thorsten Joachims:
Maschinelles Lernen und Data Mining. Handbuch der Künstlichen Intelligenz 2003: 517-597 - 2002
- [j24]Katharina Morik, Christian Hüppe, Klaus Unterstein:
End-user access to multiple sources: incorporating knowledge discovery into knowledge management. Intell. Syst. Account. Finance Manag. 11(4): 201-214 (2002) - [c22]Katharina Morik, Stefan Rüping:
A Multistrategy Approach to the Classification of Phases in Business Cycles. ECML 2002: 307-318 - [c21]Katharina Morik:
Detecting Interesting Instances. Pattern Detection and Discovery 2002: 13-23 - [c20]Katharina Morik, Martin Scholz:
The MiningMart Approach. GI Jahrestagung 2002: 811-816 - [c19]Katharina Morik, Christian Hüppe, Klaus Unterstein:
End-User Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management. PAKM 2002: 232-243 - 2001
- [c18]Michael Imhoff, Katharina Morik, Ursula Gather:
Development of Decision Support Algorithms for Intensive Care Medicine: A Hybrid System of Time Series Analysis and a Knowledge Base System. AMIA 2001 - 2000
- [j23]Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather:
Knowledge discovery and knowledge validation in intensive care. Artif. Intell. Medicine 19(3): 225-249 (2000) - [j22]Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather:
Erratum to "Knowledge discovery and knowledge validation in intensive care". Artif. Intell. Medicine 20(2): 179 (2000) - [c17]Katharina Morik:
The Representation Race - Preprocessing for Handling Time Phenomena. ECML 2000: 4-19
1990 – 1999
- 1999
- [c16]Katharina Morik:
Tailoring Representations to Different Requirements. ALT 1999: 1-12 - [c15]Katharina Morik, Peter Brockhausen, Thorsten Joachims:
Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring. ICML 1999: 268-277 - [c14]Michael Imhoff, Ursula Gather, Katharina Morik:
Development of Decision Support Algorithms for Intensive Care Medicine: A New Approach Combining Time Series Analysis and a Knowledge Base System with Learning and Revision Capabilities. KI 1999: 219-230 - 1998
- [j21]Martin Mühlenbrock, Katharina Morik:
Rekonstruktion von Theorieübergängen: Tag/Nachtzyklus-Erklärungen von Kindern verschiedener Altersgruppen. Kognitionswissenschaft 7(4): 160-175 (1998) - [c13]Katharina Morik:
How to Tailor Representations to Different Requirements. KR 1998: 650 - 1997
- [j20]Katharina Morik, Peter Brockhausen:
A Multistrategy Approach to Relational Knowledge Discovery in Databases. Mach. Learn. 27(3): 287-312 (1997) - [c12]Katharina Morik:
Knowledge Discovery in databases - An Inductive Logic Programming Approach. Foundations of Computer Science: Potential - Theory - Cognition 1997: 429-436 - 1996
- [j19]Katharina Morik:
Induktion für alle Fälle! Künstliche Intell. 10(1): 38-39 (1996) - [j18]Volker Klingspor, Katharina Morik, Anke D. Rieger:
Learning Concepts from Sensor Data of a Mobile Robot. Mach. Learn. 23(2-3): 305-332 (1996) - 1995
- [j17]Brigitte Bartsch-Spörl, Katharina Morik, Dieter Steinbauer:
Editorial: Themenheft Informatik-Ausbildung. Inform. Spektrum 18(2): 78 (1995) - [d1]Volker Klingspor, Katharina Morik, Anke D. Rieger:
Mobile Robots. UCI Machine Learning Repository, 1995
- 1994
- [j16]Katharina Morik, George Potamias, Vassilis Moustakis, Giorgos Charissis:
Knowledgeable learning using MOBAL: A medical case study. Appl. Artif. Intell. 8(4): 579-592 (1994) - [j15]Edgar Sommer, Katharina Morik, Jean-Michel André, Marc Uszynski:
What online machine learning can do for knowledge acquisition - a case study. Knowl. Acquis. 6(4): 435-460 (1994) - [j14]Katharina Morik, Francesco Bergadano, Wray L. Buntine:
Guest Editorial. Mach. Learn. 14(1): 137-138 (1994) - [j13]Jörg-Uwe Kietz, Katharina Morik:
A Polynomial Approach to the Constructive Induction of Structural Knowledge. Mach. Learn. 14(1): 193-217 (1994) - 1993
- [j12]Katharina Morik:
Europäisches Netzwerk für Maschinelles Lernen. Künstliche Intell. 7(1): 73 (1993) - [j11]Katharina Morik:
Balanced Cooperative Modeling. Mach. Learn. 11: 217-235 (1993) - 1992
- [j10]Francesco Bergadano, Yves Kodratoff, Katharina Morik:
Machine Learning and Knowledge Acquisition, Summary of Research Contributions Presented at IJCAI'91. AI Commun. 5(1): 19-24 (1992) - [j9]Katharina Morik:
9. Internationale Konferenz zum maschinellen Lernen. Künstliche Intell. 6(4): 39-42 (1992) - [c11]Katharina Morik:
Applications of Machine Learning. EKAW 1992: 9-13 - 1991
- [j8]Katharina Morik:
Maschinelles Lernen in der Bundesrepublik Deutschland: Ergebnis einer Umfrage. Künstliche Intell. 5(1): 32-33 (1991) - [j7]Katharina Morik:
Machine Learning Toolbox (MLT). Künstliche Intell. 5(1): 34-35 (1991) - [j6]Katharina Morik:
Underlying assumptions of knowledge acquisition and machine learning. Knowl. Acquis. 3(2): 137-156 (1991) - [c10]Thomas R. Addis, Yves Kodratoff, Ramón López de Mántaras, Katharina Morik, Enric Plaza:
Panel: Four Stances on Knowledge Acquisition and Machine Learning. EWSL 1991: 514-533
1980 – 1989
- 1989
- [j5]Katharina Morik, Thomas Christaller:
Bericht des Arbeitskreises Strukturfragen der KI. Künstliche Intell. 3(1): 27-29 (1989) - [j4]Katharina Morik:
Integration issue in knowledge acquisition systems. SIGART Newsl. 108: 124-131 (1989) - [c9]Katharina Morik, Jörg-Uwe Kietz:
A Bootstrapping Approach to Concept Clustering. ML 1989: 503-504 - [e3]Katharina Morik:
Proceedings of the 4th European Working Session on Learning, Montpellier, France, 4-6 December 1989. Pitman and Morgan Kaufman Publishers 1989 - [e2]Katharina Morik:
Knowledge Representation and Organization in Machine Learning [Workshop, 1987, Schloß Ehringerfeld, Germany]. Lecture Notes in Computer Science 347, Springer 1989, ISBN 3-540-50768-X [contents] - 1987
- [j3]Katharina Morik:
Acquiring Domain Models. Int. J. Man Mach. Stud. 26(1): 93-104 (1987) - [c8]Katharina Morik:
Sloppy Modeling. Knowledge Representation and Organization in Machine Learning 1987: 107-134 - [e1]Katharina Morik:
GWAI-87, 11th German Workshop on Artificial Intelligence, Geseke, Germany, September 28 - October 2, 1987, Proceedings. Informatik-Fachberichte 152, Springer 1987, ISBN 3-540-18388-4 [contents] - 1986
- [p1]Wolfgang Hoeppner, Katharina Morik, Heinz Marburger:
Talking it Over: The Natural Language Dialog System HAM-ANS. Cooperative Interfaces to Information Systems 1986: 189-258 - 1985
- [j2]Katharina Morik, Claus-Rainer Rollinger:
The Real Estate Agent: Modeling Users By Uncertain Reasoning. AI Mag. 6(2): 44-52 (1985) - [c7]Katharina Morik:
User Modelling, Dialog Structure, And Dialog Strategy In Ham-Ans. EACL 1985: 268-273 - [c6]Stephan Busemann, Wolfgang Hoeppner, Heinz Marburger, Katharina Morik:
Representing and Processing Copula and Full-Verb Sentences in HAM-ANS. GWAI 1985: 187-196 - [c5]Katharina Morik:
Partnermodellierung in Beratungsdialogen. Sprachverarbeitung in Information und Dokumentation 1985: 80-91 - 1984
- [j1]Katharina Morik:
Customers' Requirements for Natural Language Systems: Results of an Inquiry. Int. J. Man Mach. Stud. 21(5): 401-414 (1984) - 1983
- [c4]Wolfgang Hoeppner, Thomas Christaller, Heinz Marburger, Katharina Morik, Bernhard Nebel, Mike O'Leary, Wolfgang Wahlster:
Beyond Domain-Independence: Experience With the Development of a German Language Access System to Highly Diverse Background Systems. IJCAI 1983: 588-594 - [c3]Katharina Morik:
Demand and Requirements for Natural Language Systems - Results of an Inquiry. IJCAI 1983: 647-649 - [c2]Katharina Morik, Claus-Rainer Rollinger:
Partnermodellierung im Evidenzraum. GWAI 1983: 158-168 - 1982
- [b1]Katharina Morik:
Überzeugungssysteme der künstlichen Intelligenz: Validierung vor d. Hintergrund linguist. Theorien über implizierte Äusserungen. University of Hamburg, Germany, Niemeyer 1982, ISBN 978-3-484-31905-9, pp. 1-269 - 1981
- [c1]Katharina Morik:
Verarbeitung von externer und interner Situation in Überzeugungssystemen. GWAI 1981: 287-296
Coauthor Index
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