Katharina Morik

237 papers A* 13A 6B 11C 7Misc 3Journal 82Unranked 80

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Resource-Aware Machine Learning. Challenges and Algorithms for Knowledge Discovery from Data Katharina Morik
2024	A	`conf`	STRATA: Random Forests going Serverless. Middleware Dimitrios Tomaras, Sebastian Buschjäger, Vana Kalogeraki, Katharina Morik, Dimitrios Gunopulos
2024	J	`jnl`	Towards more sustainable and trustworthy reporting in machine learning. Data Min. Knowl. Discov. Raphael Fischer, Thomas Liebig, Katharina Morik
2023	J	`jnl`	Energy Efficiency Considerations for Popular AI Benchmarks. CoRR Raphael Fischer, Matthias Jakobs, Katharina Morik
2023	J	`jnl`	Fast Inference of Tree Ensembles on ARM Devices. CoRR Simon Koschel, Sebastian Buschjäger, Claudio Lucchese, Katharina Morik
2023	J	`jnl`	Joint leaf-refinement and ensemble pruning through L Data Min. Knowl. Discov. Sebastian Buschjäger, Katharina Morik
2022	—	`conf`	A Unified Framework for Assessing Energy Efficiency of Machine Learning. PKDD/ECML Workshops (1) Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
2022	—	`conf`	Certifiable Active Class Selection in Multi-Class Classification. IAL@PKDD/ECML Martin Senz, Mirko Bunse, Katharina Morik
2022	—	`ch.`	Editorial. Mach. Learn. under Resour. Constraints Vol. 3 (3) Katharina Morik, Jörg Rahnenführer, Christian Wietfeld
2022	J	`jnl`	Efficient Realization of Decision Trees for Real-Time Inference. ACM Trans. Embed. Comput. Syst. Kuan-Hsun Chen, Chiahui Su, Christian Hakert, Sebastian Buschjäger, Chao-Lin Lee, Jenq-Kuen Lee, Katharina Morik, Jian-Jia Chen
2022	J	`jnl`	Explainable online ensemble of deep neural network pruning for time series forecasting. Mach. Learn. Amal Saadallah, Matthias Jakobs, Katharina Morik
2022	J	`jnl`	FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors. IEEE Trans. Computers Mikail Yayla, Sebastian Buschjäger, Aniket Gupta, Jian-Jia Chen, Jörg Henkel, Katharina Morik, Kuan-Hsun Chen, Hussam Amrouch
2022	—	`ch.`	Introduction. Mach. Learn. under Resour. Constraints Vol. 1 (1) Katharina Morik, Jian-Jia Chen
2022	—	`ch.`	Introduction. Mach. Learn. under Resour. Constraints Vol. 2 (2) Wolfgang Rhode, Katharina Morik
2022	—	`ch.`	Key Concepts in Machine Learning and Data Analysis. Mach. Learn. under Resour. Constraints Vol. 2 (2) Katharina Morik, Mirko Bunse
2022	—	`ch.`	Label Proportion Learning. Mach. Learn. under Resour. Constraints Vol. 3 (3) Marco Stolpe, Katharina Morik
2022	—	`book`	Machine Learning under Resource Constraints - Volume 1: Fundamentals Mach. Learn. under Resour. Constraints Vol. 1 Katharina Morik, Peter Marwedel
2022	—	`book`	Machine Learning under Resource Constraints - Volume 2: Discovery in Physics Mach. Learn. under Resour. Constraints Vol. 2 Katharina Morik, Wolfgang Rhode
2022	—	`book`	Machine Learning under Resource Constraints - Volume 3: Applications Mach. Learn. under Resour. Constraints Vol. 3 Katharina Morik, Jörg Rahnenführer, Christian Wietfeld
2022	—	`conf`	Online Adaptive Multivariate Time Series Forecasting. ECML/PKDD (6) Amal Saadallah, Hanna Mykula, Katharina Morik
2022	—	`ch.`	Quality Assurance in Interlinked Manufacturing Processes. Mach. Learn. under Resour. Constraints Vol. 3 (3) Jochen Deuse, Katharina Morik, Amal Saadallah, Jan Büscher, Thorben Panusch
2022	J	`jnl`	Randomized outlier detection with trees. Int. J. Data Sci. Anal. Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik
2022	J	`jnl`	Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. Mikail Yayla, Simon Thomann, Sebastian Buschjäger, Katharina Morik, Jian-Jia Chen, Hussam Amrouch
2022	J	`jnl`	Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles. CoRR Lukas Pfahler, Katharina Morik
2022	A*	`conf`	Shrub Ensembles for Online Classification. AAAI Sebastian Buschjäger, Sibylle Hess, Katharina Morik
2022	—	`ch.`	Simulation and Machine Learning. Mach. Learn. under Resour. Constraints Vol. 3 (3) Petra Wiederkehr, Katharina Morik, Amal Saadallah, Felix Finkeldey
2022	J	`jnl`	Simulation and sensor data fusion for machine learning application. Adv. Eng. Informatics Amal Saadallah, Felix Finkeldey, Jens Buß, Katharina Morik, Petra Wiederkehr, Wolfgang Rhode
2022	—	`ch.`	Spatio-Temporal Random Fields. Mach. Learn. under Resour. Constraints Vol. 1 (1) Nico Piatkowski, Katharina Morik
2022	—	`ch.`	Summary Extraction from Streams. Mach. Learn. under Resour. Constraints Vol. 1 (1) Sebastian Buschjäger, Katharina Morik
2022	J	`jnl`	Yes we care!-Certification for machine learning methods through the care label framework. Frontiers Artif. Intell. Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich
2021	J	`jnl`	A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory. CoRR Rasha U. Abbasi, Markus Ackermann, Jenni Adams, J. A. Aguilar, Markus Ahlers, Markus Ahrens, C. Alispach, Antonio Augusto Alves Jr., Najia Moureen Amin, R. An, Karen Andeen, Tyler Anderson, I. Ansseau, Gisela Anton, Carlos A. Argüelles, S. Axani, Xinhua Bai, A. Balagopal V., A. Barbano, Steven W. Barwick, B. Bastian, Vedant Basu, Volker Baum, S. Baur, Ryan Bay, James J. Beatty, Karl-Heinz Becker, Julia K. Becker Tjus, Chiara Bellenghi, Segev BenZvi, David Berley, Elisa Bernardini, David Z. Besson, Gary Binder, Daniel Bindig, Erik Blaufuss, Summer Blot, Sebastian Böser, Olga Botner, Jakob Böttcher, Etienne Bourbeau, J. Bourbeau, Federica Bradascio, J. Braun, Stephanie Bron, Jannes Brostean-Kaiser, A. Burgman, Raffaela S. Busse, Michael A. Campana, Chujie Chen, Dmitry Chirkin, S. Choi, B. A. Clark, Ken Clark, Lew Classen, Alan Coleman, Gabriel H. Collin, Janet Marie Conrad, P. Coppin, P. Correa, Doug F. Cowen, R. Cross, P. Dave, Catherine De Clercq, J. J. DeLaunay, Hans Dembinski, K. Deoskar, Sam De Ridder, A. Desai, Paolo Desiati, Krijn D. de Vries, Gwenhaël de Wasseige, Meike de With, Tyce DeYoung, S. Dharani, A. Diaz, Juan Carlos Díaz-Vélez, H. Dujmovic, Matthew Dunkman, M. A. DuVernois, E. Dvorak, T. Ehrhardt, P. Eller, R. Engel, J. Evans, Paul A. Evenson, S. Fahey, Ali R. Fazely, S. Fiedlschuster, A. T. Fienberg, Kirill Filimonov, Chad Finley, L. Fischer, David Fox, Anna Franckowiak, E. Friedman, A. Fritz, P. Fürst, Thomas K. Gaisser, Joseph S. Gallagher, E. Ganster, S. Garrappa, Lisa Gerhardt, A. Ghadimi, C. Glaser, Theo Glauch, Thorsten Glüsenkamp, Azriel Goldschmidt, Javier G. González, S. Goswami, Darren Grant, T. Grégoire, Z. Griffith, S. Griswold, M. Gündüz, Connie Haack, Allan Hallgren, R. Halliday, L. Halve, Francis Halzen, M. Ha Minh, Kael D. Hanson, J. Hardin, A. A. Harnisch, Andreas Haungs, S. Hauser, Dustin Hebecker, Klaus Helbing, F. Henningsen, E. C. Hettinger, Stephanie Hickford, J. Hignight, C. Hill, Gary C. Hill, Kara D. Hoffman, Ruth Hoffmann, T. Hoinka, B. Hokanson-Fasig, Kotoyo Hoshina, Feifei Huang, M. Huber, T. Huber, Klas Hultqvist, M. Hünnefeld, R. Hussain, S. In, N. Iovine, Aya Ishihara, M. Jansson, George S. Japaridze, M. Jeong, B. J. P. Jones, R. Joppe, D. Kang, W. Kang, X. Kang, Alexander Kappes, D. Kappesser, Timo Karg, M. Karl, Albrecht Karle, U. Katz, Matthew Kauer, M. Kellermann, John Lawrence Kelley, A. Kheirandish, J. Kim, K. Kin, T. Kintscher, Joanna Kiryluk, Spencer R. Klein, R. Koirala, Hermann Kolanoski, Lutz Köpke, Claudio Kopper, Sandro Kopper, D. Jason Koskinen, P. Koundal, M. Kovacevich, Marek Kowalski, K. Krings, G. Krückl, Naoko Kurahashi, A. Kyriacou, C. Lagunas Gualda, J. L. Lanfranchi, Michael James Larson, F. Lauber, J. P. Lazar, K. Leonard, A. Leszczynska, Y. Li, Q. R. Liu, E. Lohfink, C. J. Lozano Mariscal, L. Lu, F. Lucarelli, A. Ludwig, W. Luszczak, Y. Lyu, W. Y. Ma, James Madsen, K. B. M. Mahn, Y. Makino, P. Mallik, S. Mancina, I. C. Maris, Reina Maruyama, Keiichi Mase, Frank McNally, Kevin James Meagher, A. Medina, M. Meier, Stephan Meighen-Berger, J. Merz, J. Micallef, D. Mockler, G. Momenté, Teresa Montaruli, R. W. Moore, Katharina Morik, Robert M. Morse, M. Moulai, R. Naab, R. Nagai, Uwe Naumann, J. Necker, L. V. Nguyen, Hans Niederhausen, M. U. Nisa, Sarah C. Nowicki, David R. Nygren, A. Obertacke Pollmann, M. Oehler, Alex Olivas, E. O'Sullivan, H. Pandya, D. V. Pankova, N. Park, G. K. Parker, E. N. Paudel, Peter Peiffer, Carlos Pérez de los Heros, S. Philippen, Damian Pieloth, S. Pieper, Alex Pizzuto, M. Plum, Y. Popovych, A. Porcelli, M. Prado Rodriguez, P. Buford Price, B. Pries, Gerald T. Przybylski, C. Raab, A. Raissi, Mohamed Rameez, Katherine Rawlins, I. C. Rea, A. Rehman, René Reimann, M. Renschler, G. Renzi, Elisa Resconi, Simeon Reusch, Wolfgang Rhode, Michael Richman, Benedikt Riedel, S. Robertson, G. Roellinghoff, Martin Rongen, Carsten Rott, Tim Ruhe, Dirk Ryckbosch, D. Rysewyk Cantu, Ibrahim Safa, S. E. Sanchez Herrera, Alexander Sandrock, J. Sandroos, Juan Marcos Santander, Sourav Sarkar, Subir Sarkar, K. Satalecka, M. Scharf, M. Schaufel, H. Schieler, P. Schlunder, Torsten Schmidt, A. Schneider, J. Schneider, F. G. Schröder, L. Schumacher, S. Sclafani, David Seckel, Surujhdeo Seunarine, A. Sharma, S. Shefali, M. Silva, B. Skrzypek, B. Smithers, R. Snihur, Jan Soedingrekso, Dennis Soldin, Glenn M. Spiczak, Christian Spiering, J. Stachurska, Michael Stamatikos, T. Stanev, R. Stein, J. Stettner, A. Steuer, Thorsten Stezelberger, Robert G. Stokstad, T. Stürwald, T. Stuttard, Gregory W. Sullivan, Ignacio J. Taboada, F. Tenholt, Samvel Ter-Antonyan, Serap Tilav, F. Tischbein, K. Tollefson, L. Tomankova, C. Tönnis, Simona Toscano, D. Tosi, A. Trettin, Maria Tselengidou, Chun Fai Tung, A. Turcati, R. Turcotte, C. F. Turley, J. P. Twagirayezu, B. Ty, M. A. Unland Elorrieta, N. Valtonen-Mattila, Justin Vandenbroucke, D. van Eijk, Nick van Eijndhoven, D. Vannerom, Jakob van Santen, S. Verpoest, Matthias Vraeghe, Christian Walck, A. Wallace, T. B. Watson, Christopher N. Weaver, A. Weindl, M. J. Weiss, J. Weldert, Christopher H. Wendt, J. Werthebach, M. Weyrauch, B. J. Whelan, Nathan Whitehorn, Klaus Wiebe, Christopher H. Wiebusch, Dawn R. Williams, Martin Wolf, Kurt Woschnagg, G. Wrede, J. Wulff, X. W. Xu, Y. Xu, Juan Pablo Yáñez, Shigeru Yoshida, T. Yuan, Z. Zhang, The IceCube Collaboration
2021	—	`conf`	Active Class Selection with Uncertain Class Proportions. IAL@PKDD/ECML Mirko Bunse, Katharina Morik
2021	A*	`conf`	An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting. ICDE Amal Saadallah, Maryam Tavakol, Katharina Morik
2021	J	`jnl`	Bit Error Tolerance Metrics for Binarized Neural Networks. CoRR Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2021	—	`conf`	Certification of Model Robustness in Active Class Selection. ECML/PKDD (2) Mirko Bunse, Katharina Morik
2021	A	`conf`	Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF. RTSS Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik, Björn B. Brandenburg
2021	—	`conf`	Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting. ECML/PKDD (1) Amal Saadallah, Matthias Jakobs, Katharina Morik
2021	J	`jnl`	Explaining Deep Learning Representations by Tracing the Training Process. CoRR Lukas Pfahler, Katharina Morik
2021	J	`jnl`	GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering. CoRR Philipp-Jan Honysz, Sebastian Buschjäger, Katharina Morik
2021	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 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
2021	J	`jnl`	Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement. CoRR Sebastian Buschjäger, Katharina Morik
2021	A	`conf`	Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance. DATE Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2021	B	`conf`	Meta-Adversarial Training of Neural Networks for Binary Classification. IJCNN Amal Saadallah, Katharina Morik
2021	J	`jnl`	Noisy Labels for Weakly Supervised Gamma Hadron Classification. CoRR Lukas Pfahler, Mirko Bunse, Katharina Morik
2021	B	`conf`	Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting. DSAA Amal Saadallah, Katharina Morik
2021	J	`jnl`	Providing Meaningful Data Summarizations Using Examplar-based Clustering in Industry 4.0. CoRR Philipp-Jan Honysz, Alexander Schulze-Struchtrup, Sebastian Buschjäger, Katharina Morik
2021	J	`jnl`	Shrub Ensembles for Online Classification. CoRR Sebastian Buschjäger, Sibylle Hess, Katharina Morik
2021	—	`conf`	Structure Search for Normalizing Flows. LWDA Felix Gonsior, Sascha Mücke, Katharina Morik
2021	J	`jnl`	The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning. CoRR Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski
2021	J	`jnl`	There is no Double-Descent in Random Forests. CoRR Sebastian Buschjäger, Katharina Morik
2021	—	`ch.`	Trustworthy AI. Reflections on Artificial Intelligence for Humanity Raja Chatila, Virginia Dignum, Michael Fisher, Fosca Giannotti, Katharina Morik, Stuart Russell, Karen Yeung
2021	—	`conf`	Very Fast Streaming Submodular Function Maximization. ECML/PKDD (3) Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik
2021	J	`jnl`	Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework. CoRR Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski
2020	B	`conf`	Active Sampling for Learning Interpretable Surrogate Machine Learning Models. DSAA Amal Saadallah, Katharina Morik
2020	B	`conf`	Generalized Isolation Forest: Some Theory and More Applications Extended Abstract. DSAA Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik
2020	J	`jnl`	Generalized Negative Correlation Learning for Deep Ensembling. CoRR Sebastian Buschjäger, Lukas Pfahler, Katharina Morik
2020	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR 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
2020	J	`jnl`	Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 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
2020	J	`jnl`	Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR 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
2020	B	`conf`	No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. DSAA Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik
2020	—	`conf`	On-Site Gamma-Hadron Separation with Deep Learning on FPGAs. ECML/PKDD (4) Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode
2020	A*	`conf`	Optimal Probabilistic Classification in Active Class Selection. ICDM Mirko Bunse, Dorina Weichert, Alexander Kister, Katharina Morik
2020	—	`ed.`	Proceedings of the Workshops of the EDBT/ICDT 2020 Joint Conference, Copenhagen, Denmark, March 30, 2020 EDBT/ICDT Workshops 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
2020	J	`jnl`	Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data. Eng. Appl. Artif. Intell. Felix Finkeldey, Amal Saadallah, Petra Wiederkehr, Katharina Morik
2020	—	`conf`	Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
2020	J	`jnl`	Resource-Constrained On-Device Learning by Dynamic Averaging. CoRR Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
2020	A*	`conf`	Semantic Search in Millions of Equations. KDD Lukas Pfahler, Katharina Morik
2020	—	`conf`	Solving Abstract Reasoning Tasks with Grammatical Evolution. LWDA Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
2020	J	`jnl`	Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. CoRR Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
2020	J	`jnl`	Very Fast Streaming Submodular Function Maximization. CoRR Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik
2019	—	`conf`	A Data Science Perspective on Deconvolution. GI-Jahrestagung Mirko Bunse, Nico Piatkowski, Tim Ruhe, Katharina Morik, Wolfgang Rhode
2019	—	`conf`	A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting. ECML/PKDD (1) Amal Saadallah, Florian Priebe, Katharina Morik
2019	—	`conf`	Another View on Optimization as Probabilistic Inference. LWDA Felix Gonsior, Nico Piatkowski, Katharina Morik
2019	J	`jnl`	C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. CoRR Sibylle Hess, Katharina Morik
2019	C	`conf`	Gaussian Model Trees for Traffic Imputation. ICPRAM Sebastian Buschjäger, Thomas Liebig, Katharina Morik
2019	—	`conf`	Hardware Acceleration of Machine Learning Beyond Linear Algebra. PKDD/ECML Workshops (1) Sascha Mücke, Nico Piatkowski, Katharina Morik
2019	—	`conf`	HyperUCB: Hyperparameter Optimization Using Contextual Bandits. PKDD/ECML Workshops (1) Maryam Tavakol, Sebastian Mair, Katharina Morik
2019	—	`conf`	Learning Bit by Bit: Extracting the Essence of Machine Learning. LWDA Sascha Mücke, Nico Piatkowski, Katharina Morik
2019	C	`conf`	Learning Ensembles in the Presence of Imbalanced Classes. ICPRAM Amal Saadallah, Nico Piatkowski, Felix Finkeldey, Petra Wiederkehr, Katharina Morik
2019	—	`conf`	Parameter Sharing for Spatio-Temporal Process Models. LWDA Raphael Fischer, Nico Piatkowski, Katharina Morik
2019	J	`jnl`	The PRIMPing Routine - Tiling through Proximal Alternating Linearized Minimization. CoRR Sibylle Hess, Katharina Morik, Nico Piatkowski
2019	—	`conf`	The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions. ECML/PKDD (3) Lukas Pfahler, Jonathan Schill, Katharina Morik
2019	A*	`conf`	The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. AAAI Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
2019	J	`jnl`	The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. CoRR Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
2019	J	`jnl`	The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. CoRR Sibylle Hess, Nico Piatkowski, Katharina Morik
2019	—	`conf`	What Can We Expect from Active Class Selection? LWDA Mirko Bunse, Katharina Morik
2018	J	`jnl`	Big Data Science. Künstliche Intell. Katharina Morik, Christian Bockermann, Sebastian Buschjäger
2018	J	`jnl`	Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data. IEEE Trans. Circuits Syst. I Regul. Pap. Sebastian Buschjäger, Katharina Morik
2018	B	`conf`	Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems. ECRTS Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik
2018	A	`conf`	Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation. UAI Nico Piatkowski, Katharina Morik
2018	—	`conf`	Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent. ECML/PKDD (2) Lukas Pfahler, Katharina Morik
2018	A*	`conf`	Realization of Random Forest for Real-Time Evaluation through Tree Framing. ICDM Sebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik
2018	—	`conf`	The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering. LWDA Erich Schubert, Sibylle Hess, Katharina Morik
2018	A	`conf`	The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. SDM Sibylle Hess, Nico Piatkowski, Katharina Morik
2018	—	`conf`	Towards a Unifying View on Deconvolution in Cherenkov Astronomy. LWDA Mirko Bunse, Nico Piatkowski, Katharina Morik
2018	B	`conf`	Unification of Deconvolution Algorithms for Cherenkov Astronomy. DSAA Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode
2018	—	`conf`	What do you do with 5 million posts? Versuche zum distant reading religiöser Online-Foren. DHd Lukas Pfahler, Frederik Elwert, Samira Tabti, Katharina Morik, Volker Krech
2017	—	`conf`	C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. ECML/PKDD (1) Sibylle Hess, Katharina Morik
2017	J	`jnl`	Dynamic route planning with real-time traffic predictions. Inf. Syst. Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
2017	B	`conf`	Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization. DSAA Lukas Pfahler, Katharina Morik, Frederik Elwert, Samira Tabti, Volkhard Krech
2017	—	`ch.`	Medicine: Applications of Machine Learning. Encyclopedia of Machine Learning and Data Mining Katharina Morik
2017	J	`jnl`	Mining Urban Data (Part C). Inf. Syst. Gennady L. Andrienko, Dimitrios Gunopulos, Yannis E. Ioannidis, Vana Kalogeraki, Ioannis Katakis, Katharina Morik, Olivier Verscheure
2017	—	`conf`	Summary Extraction on Data Streams in Embedded Systems. IOTSTREAMING@PKDD/ECML Sebastian Buschjäger, Katharina Morik, Maik Schmidt
2017	J	`jnl`	The PRIMPING routine - Tiling through proximal alternating linearized minimization. Data Min. Knowl. Discov. Sibylle Hess, Katharina Morik, Nico Piatkowski
2017	—	`conf`	relNet - Modellierung von Themen und Strukturen religiöser Online-Kommunikation. DHd Frederik Elwert, Samira Tabti, Volkhard Krech, Katharina Morik, Lukas Pfahler
2016	—	`book`	Computational Sustainability Jörg Lässig, Kristian Kersting, Katharina Morik
2016	—	`conf`	INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. ECML/PKDD (3) 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
2016	J	`jnl`	Integer undirected graphical models for resource-constrained systems. Neurocomputing Nico Piatkowski, Sangkyun Lee, Katharina Morik
2016	J	`jnl`	Interpretable domain adaptation via optimization over the Stiefel manifold. Mach. Learn. Christian Pölitz, Wouter Duivesteijn, Katharina Morik
2016	J	`jnl`	Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. CoRR Elena Erdmann, Karin Boczek, Lars Koppers, Gerret von Nordheim, Christian Pölitz, Alejandro Molina, Katharina Morik, Henrik Müller, Jörg Rahnenführer, Kristian Kersting
2016	J	`jnl`	Mining Urban Data (Part B). Inf. Syst. Gennady L. Andrienko, Dimitrios Gunopulos, Yannis E. Ioannidis, Vana Kalogeraki, Ioannis Katakis, Katharina Morik, Olivier Verscheure
2016	J	`jnl`	Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten. Autom. Mario Wiegand, Marco Stolpe, Jochen Deuse, Katharina Morik
2016	—	`conf`	Resource-Aware Steel Production Through Data Mining. ECML/PKDD (3) Hendrik Blom, Katharina Morik
2016	A*	`conf`	Stochastic Discrete Clenshaw-Curtis Quadrature. ICML Nico Piatkowski, Katharina Morik
2016	—	`ch.`	Sustainable Industrial Processes by Embedded Real-Time Quality Prediction. Computational Sustainability Marco Stolpe, Hendrik Blom, Katharina Morik
2015	—	`conf`	Big Data und Data Mining in den Digital Humanities. DHd Christian Pölitz, Katharina Morik
2015	A*	`conf`	Data Driven Science: SIGKDD Panel. KDD Katharina Morik, Hugh F. Durrant-Whyte, Gary C. Hill, Dietmar Müller, Tanya Y. Berger-Wolf
2015	—	`conf`	Discovering Neutrinos Through Data Analytics. ECML/PKDD (3) Mathis Börner, Wolfgang Rhode, Tim Ruhe, Katharina Morik
2015	—	`conf`	Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI. MUD@ICML Thomas Liebig, Marco Stolpe, Katharina Morik
2015	—	`conf`	Investigation of Word Senses over Time Using Linguistic Corpora. TSD Christian Pölitz, Thomas Bartz, Katharina Morik, Angelika Störrer
2015	—	`conf`	Online Analysis of High-Volume Data Streams in Astroparticle Physics. ECML/PKDD (3) Christian Bockermann, Kai Brügge, Jens Buß, Alexey Egorov, Katharina Morik, Wolfgang Rhode, Tim Ruhe
2015	—	`ed.`	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. MUD@ICML Ioannis Katakis, François Schnitzler, Thomas Liebig, Dimitrios Gunopulos, Katharina Morik, Gennady L. Andrienko, Shie Mannor
2014	—	`conf`	Combining a Gauss-Markov model and Gaussian process for traffic prediction in Dublin city center. EDBT/ICDT Workshops François Schnitzler, Thomas Liebig, Shie Mannor, Katharina Morik
2014	—	`conf`	Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. ECML/PKDD (3) 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
2014	B	`conf`	Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. EDBT 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
2014	—	`conf`	Predictive Trip Planning - Smart Routing in Smart Cities. EDBT/ICDT Workshops Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
2014	C	`conf`	Resource-Aware Data Analysis. DATA Katharina Morik
2014	—	`conf`	Route Planning with Real-Time Traffic Predictions. LWA Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
2014	—	`conf`	SHrimp: Descriptive Patterns in a Tree. LWA Sibylle Hess, Nico Piatkowski, Katharina Morik
2014	C	`conf`	The Integer Approximation of Undirected Graphical Models. ICPRAM Nico Piatkowski, Sangkyun Lee, Katharina Morik
2014	—	`conf`	Towards an Integer Approximation of Undirected Graphical Models. LWA Nico Piatkowski, Katharina Morik
2014	—	`conf`	Using Data Mining and the CLARIN Infrastructure to Extend Corpus-based Linguistic Research. CLARIN Annual Conference Thomas Bartz, Christian Pölitz, Katharina Morik, Angelika Storrer
2013	—	`conf`	Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines. ECML/PKDD (3) Marco Stolpe, Kanishka Bhaduri, Kamalika Das, Katharina Morik
2013	—	`ch.`	Maschinelles Lernen und Data Mining. Handbuch der Künstlichen Intelligenz Stefan Wrobel, Thorsten Joachims, Katharina Morik
2013	—	`conf`	Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems. MSM/MUSE Nico Piatkowski, Jochen Streicher, Olaf Spinczyk, Katharina Morik
2013	J	`jnl`	Spatio-temporal random fields: compressible representation and distributed estimation. Mach. Learn. Nico Piatkowski, Sangkyun Lee, Katharina Morik
2012	J	`jnl`	Introduction to data mining for sustainability. Data Min. Knowl. Discov. Katharina Morik, Kanishka Bhaduri, Hillol Kargupta
2012	J	`jnl`	Mobility Data Mining and Privacy (Dagstuhl Seminar 12331). Dagstuhl Reports Christopher W. Clifton, Bart Kuijpers, Katharina Morik, Yücel Saygin
2012	J	`jnl`	Multi-objective frequent termset clustering. Knowl. Inf. Syst. Katharina Morik, Andreas Kaspari, Michael Wurst, Marcin Skirzynski
2012	—	`conf`	Separable Approximate Optimization of Support Vector Machines for Distributed Sensing. ECML/PKDD (2) Sangkyun Lee, Marco Stolpe, Katharina Morik
2011	—	`ch.`	Fast-Ensembles of Minimum Redundancy Feature Selection. Ensembles in Machine Learning Applications Benjamin Schowe, Katharina Morik
2011	—	`conf`	Inspecting Sample Reusability for Active Learning. Active Learning and Experimental Design @ AISTATS Katrin Tomanek, Katharina Morik
2011	—	`conf`	Learning from Label Proportions by Optimizing Cluster Model Selection. ECML/PKDD (3) Marco Stolpe, Katharina Morik
2011	—	`conf`	Parallel Loopy Belief Propagation in Conditional Random Fields. LWA Nico Piatkowski, Katharina Morik
2010	—	`ch.`	Clustering the Web 2.0. Advances in Machine Learning II Katharina Morik, Michael Wurst
2010	—	`conf`	Enhancing Ubiquitous Systems through System Call Mining. ICDM Workshops Katharina Morik, Felix Jungermann, Nico Piatkowski, Michael Engel
2010	—	`conf`	Fast-Ensembles of Minimum Redundancy Feature Selection. LWA Benjamin Schowe, Katharina Morik
2010	—	`ch.`	Medicine: Applications of Machine Learning. Encyclopedia of Machine Learning Katharina Morik
2010	—	`ch.`	Nemoz - A Distributed Framework for Collaborative Media Organization. Ubiquitous Knowledge Discovery Katharina Morik
2010	—	`conf`	Towards Adjusting Mobile Devices to User's Behaviour. MSM/MUSE Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe, Jochen Streicher
2010	—	`conf`	Towards Adjusting Mobile Devices to User's Behaviour. LWA Peter Fricke, Felix Jungermann, Katharina Morik, Nico Piatkowski, Olaf Spinczyk, Marco Stolpe
2009	—	`conf`	Handling Texts ? A Challenge for Data Mining. EGC Katharina Morik
2009	—	`conf`	Relation Extraction for Monitoring Economic Networks. LWA Martin Had, Felix Jungermann, Katharina Morik
2009	C	`conf`	Relation Extraction for Monitoring Economic Networks. NLDB Martin Had, Felix Jungermann, Katharina Morik
2008	J	`jnl`	About the non-convex optimization problem induced by non-positive semidefinite kernel learning. Adv. Data Anal. Classif. Ingo Mierswa, Katharina Morik
2008	—	`conf`	Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining. LWA Felix Jungermann, Katharina Morik
2008	C	`conf`	Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining. NLDB Felix Jungermann, Katharina Morik
2008	J	`jnl`	Guest Editors' Introduction: Special issue of Selected Papers from ECML PKDD 2008. Data Min. Knowl. Discov. Walter Daelemans, Bart Goethals, Katharina Morik
2008	J	`jnl`	Guest Editors' introduction: special issue of selected papers from ECML PKDD 2008. Mach. Learn. Walter Daelemans, Bart Goethals, Katharina Morik
2008	—	`ed.`	Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I ECML/PKDD (1) Walter Daelemans, Bart Goethals, Katharina Morik
2008	—	`ed.`	Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II ECML/PKDD (2) Walter Daelemans, Bart Goethals, Katharina Morik
2008	—	`conf`	On the Automated Creation of Understandable Positive Security Models for Web Applications. LWA Christian Bockermann, Ingo Mierswa, Katharina Morik
2008	A*	`conf`	On the Automated Creation of Understandable Positive Security Models for Web Applications. PerCom Christian Bockermann, Ingo Mierswa, Katharina Morik
2008	—	`ch.`	Research Challenges in Ubiquitous Knowledge Discovery. Next Generation of Data Mining 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
2007	—	`conf`	07181 Abstracts Collection -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns Michael R. Berthold, Katharina Morik, Arno Siebes
2007	—	`conf`	07181 Introduction -- Parallel Universes and Local Patterns . Parallel Universes and Local Patterns Michael R. Berthold, Katharina Morik, Arno Siebes
2007	J	`jnl`	Distributed feature extraction in a p2p setting - a case study. Future Gener. Comput. Syst. Michael Wurst, Katharina Morik
2007	—	`conf`	Multi-Aspect Tagging for Collaborative Structuring. Parallel Universes and Local Patterns Katharina Morik, Michael Wurst
2007	—	`ed.`	Parallel Universes and Local Patterns, 01.05. - 04.05.2007 Parallel Universes and Local Patterns Michael R. Berthold, Katharina Morik, Arno Siebes
2006	—	`conf`	Aspect-Based Tagging for Collaborative Media Organization. WebMine Oliver Flasch, Andreas Kaspari, Katharina Morik, Michael Wurst
2006	—	`conf`	Localized Alternative Cluster Ensembles for Collaborative Structuring. ECML Michael Wurst, Katharina Morik, Ingo Mierswa
2005	—	`conf`	A Benchmark Dataset for Audio Classification and Clustering. ISMIR Helge Homburg, Ingo Mierswa, Bülent Möller, Katharina Morik, Michael Wurst
2005	C	`conf`	Applications of Knowledge Discovery. IEA/AIE Katharina Morik
2005	J	`jnl`	Automatic Feature Extraction for Classifying Audio Data. Mach. Learn. Ingo Mierswa, Katharina Morik
2005	—	`ed.`	Local Pattern Detection, International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers Local Pattern Detection Katharina Morik, Jean-François Boulicaut, Arno Siebes
2005	J	`jnl`	Merkmalsextraktion aus Audiodaten Evolutionäre Aufzucht von Methodenbäumen. Inform. Spektrum Ingo Mierswa, Katharina Morik
2005	—	`conf`	Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data. GECCO Workshops Ingo Mierswa, Katharina Morik
2005	J	`jnl`	Musik und Informatik. Inform. Spektrum Katharina Morik
2005	J	`jnl`	Schülerinnen und Schüler an der Universität. Inform. Spektrum Katharina Morik, Georgi Ostrowski, Tobias Pröger
2004	—	`conf`	04161 Abstracts Collection - Detecting Local Patterns. Detecting Local Patterns Jean-François Boulicaut, Katharina Morik, Arno Siebes
2004	—	`conf`	Analysing Customer Churn in Insurance Data - A Case Study. PKDD Katharina Morik, Hanna Köpcke
2004	—	`ed.`	Detecting Local Patterns, 12.04. - 16.04.2004 Detecting Local Patterns Jean-François Boulicaut, Katharina Morik, Arno Siebes
2004	—	`conf`	Features for Learning Local Patterns in Time-Stamped Data. Local Pattern Detection Katharina Morik, Hanna Köpcke
2003	—	`ch.`	Maschinelles Lernen und Data Mining. Handbuch der Künstlichen Intelligenz Stefan Wrobel, Katharina Morik, Thorsten Joachims
2003	—	`conf`	Support vector machines and learning about time. ICASSP (4) Stefan Rüping, Katharina Morik
2003	Misc	`conf`	Verbindung heterogener Experten-Communities durch die Entdeckung, Visualisierung und Nutzbarmachung von stillem Wissen - das AWAKE Projekt. MuC Jasminko Novak, Monika Fleischmann, Wolfgang Strauss, Michael Wurst, Katharina Morik, Christoph Kunz, Jürgen Ziegler
2002	—	`conf`	A Multistrategy Approach to the Classification of Phases in Business Cycles. ECML Katharina Morik, Stefan Rüping
2002	—	`conf`	Detecting Interesting Instances. Pattern Detection and Discovery Katharina Morik
2002	—	`conf`	End-User Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management. PAKM Katharina Morik, Christian Hüppe, Klaus Unterstein
2002	J	`jnl`	End-user access to multiple sources: incorporating knowledge discovery into knowledge management. Intell. Syst. Account. Finance Manag. Katharina Morik, Christian Hüppe, Klaus Unterstein
2002	—	`conf`	The MiningMart Approach. GI Jahrestagung Katharina Morik, Martin Scholz
2001	Misc	`conf`	Development of Decision Support Algorithms for Intensive Care Medicine: A Hybrid System of Time Series Analysis and a Knowledge Base System. AMIA Michael Imhoff, Katharina Morik, Ursula Gather
2000	J	`jnl`	Erratum to "Knowledge discovery and knowledge validation in intensive care". Artif. Intell. Medicine Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather
2000	J	`jnl`	Knowledge discovery and knowledge validation in intensive care. Artif. Intell. Medicine Katharina Morik, Michael Imhoff, Peter Brockhausen, Thorsten Joachims, Ursula Gather
2000	—	`conf`	The Representation Race - Preprocessing for Handling Time Phenomena. ECML Katharina Morik
1999	A*	`conf`	Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring. ICML Katharina Morik, Peter Brockhausen, Thorsten Joachims
1999	Misc	`conf`	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 Michael Imhoff, Ursula Gather, Katharina Morik
1999	B	`conf`	Tailoring Representations to Different Requirements. ALT Katharina Morik
1998	A*	`conf`	How to Tailor Representations to Different Requirements. KR Katharina Morik
1998	J	`jnl`	Rekonstruktion von Theorieübergängen: Tag/Nachtzyklus-Erklärungen von Kindern verschiedener Altersgruppen. Kognitionswissenschaft Martin Mühlenbrock, Katharina Morik
1997	J	`jnl`	A Multistrategy Approach to Relational Knowledge Discovery in Databases. Mach. Learn. Katharina Morik, Peter Brockhausen
1997	—	`conf`	Knowledge Discovery in databases - An Inductive Logic Programming Approach. Foundations of Computer Science: Potential - Theory - Cognition Katharina Morik
1996	J	`jnl`	Induktion für alle Fälle! Künstliche Intell. Katharina Morik
1996	J	`jnl`	Learning Concepts from Sensor Data of a Mobile Robot. Mach. Learn. Volker Klingspor, Katharina Morik, Anke D. Rieger
1995	J	`jnl`	Editorial: Themenheft Informatik-Ausbildung. Inform. Spektrum Brigitte Bartsch-Spörl, Katharina Morik, Dieter Steinbauer
1994	J	`jnl`	A Polynomial Approach to the Constructive Induction of Structural Knowledge. Mach. Learn. Jörg-Uwe Kietz, Katharina Morik
1994	J	`jnl`	Guest Editorial. Mach. Learn. Katharina Morik, Francesco Bergadano, Wray L. Buntine
1994	J	`jnl`	Knowledgeable learning using MOBAL: A medical case study. Appl. Artif. Intell. Katharina Morik, George Potamias, Vassilis Moustakis, Giorgos Charissis
1994	J	`jnl`	What online machine learning can do for knowledge acquisition - a case study. Knowl. Acquis. Edgar Sommer, Katharina Morik, Jean-Michel André, Marc Uszynski
1993	J	`jnl`	Balanced Cooperative Modeling. Mach. Learn. Katharina Morik
1993	J	`jnl`	Europäisches Netzwerk für Maschinelles Lernen. Künstliche Intell. Katharina Morik
1992	J	`jnl`	9. Internationale Konferenz zum maschinellen Lernen. Künstliche Intell. Katharina Morik
1992	B	`conf`	Applications of Machine Learning. EKAW Katharina Morik
1992	J	`jnl`	Machine Learning and Knowledge Acquisition, Summary of Research Contributions Presented at IJCAI'91. AI Commun. Francesco Bergadano, Yves Kodratoff, Katharina Morik
1991	J	`jnl`	Machine Learning Toolbox (MLT). Künstliche Intell. Katharina Morik
1991	J	`jnl`	Maschinelles Lernen in der Bundesrepublik Deutschland: Ergebnis einer Umfrage. Künstliche Intell. Katharina Morik
1991	—	`conf`	Panel: Four Stances on Knowledge Acquisition and Machine Learning. EWSL Thomas R. Addis, Yves Kodratoff, Ramón López de Mántaras, Katharina Morik, Enric Plaza
1991	J	`jnl`	Underlying assumptions of knowledge acquisition and machine learning. Knowl. Acquis. Katharina Morik
1989	—	`conf`	A Bootstrapping Approach to Concept Clustering. ML Katharina Morik, Jörg-Uwe Kietz
1989	J	`jnl`	Bericht des Arbeitskreises Strukturfragen der KI. Künstliche Intell. Katharina Morik, Thomas Christaller
1989	J	`jnl`	Integration issue in knowledge acquisition systems. SIGART Newsl. Katharina Morik
1989	—	`ed.`	Knowledge Representation and Organization in Machine Learning [Workshop, 1987, Schloß Ehringerfeld, Germany] Knowledge Representation and Organization in Machine Learning Katharina Morik
1989	—	`ed.`	Proceedings of the 4th European Working Session on Learning, Montpellier, France, 4-6 December 1989 EWSL Katharina Morik
1987	J	`jnl`	Acquiring Domain Models. Int. J. Man Mach. Stud. Katharina Morik
1987	—	`ed.`	GWAI-87, 11th German Workshop on Artificial Intelligence, Geseke, Germany, September 28 - October 2, 1987, Proceedings GWAI Katharina Morik
1987	—	`conf`	Sloppy Modeling. Knowledge Representation and Organization in Machine Learning Katharina Morik
1986	—	`ch.`	Talking it Over: The Natural Language Dialog System HAM-ANS. Cooperative Interfaces to Information Systems Wolfgang Hoeppner, Katharina Morik, Heinz Marburger
1985	—	`conf`	Partnermodellierung in Beratungsdialogen. Sprachverarbeitung in Information und Dokumentation Katharina Morik
1985	—	`conf`	Representing and Processing Copula and Full-Verb Sentences in HAM-ANS. GWAI Stephan Busemann, Wolfgang Hoeppner, Heinz Marburger, Katharina Morik
1985	J	`jnl`	The Real Estate Agent: Modeling Users By Uncertain Reasoning. AI Mag. Katharina Morik, Claus-Rainer Rollinger
1985	A	`conf`	User Modelling, Dialog Structure, And Dialog Strategy In Ham-Ans. EACL Katharina Morik
1984	J	`jnl`	Customers' Requirements for Natural Language Systems: Results of an Inquiry. Int. J. Man Mach. Stud. Katharina Morik
1983	A*	`conf`	Beyond Domain-Independence: Experience With the Development of a German Language Access System to Highly Diverse Background Systems. IJCAI Wolfgang Hoeppner, Thomas Christaller, Heinz Marburger, Katharina Morik, Bernhard Nebel, Mike O'Leary, Wolfgang Wahlster
1983	A*	`conf`	Demand and Requirements for Natural Language Systems - Results of an Inquiry. IJCAI Katharina Morik
1983	—	`conf`	Partnermodellierung im Evidenzraum. GWAI Katharina Morik, Claus-Rainer Rollinger
1982	—	`—`	Überzeugungssysteme der künstlichen Intelligenz: Validierung vor d. Hintergrund linguist. Theorien über implizierte Äusserungen. Katharina Morik
1981	—	`conf`	Verarbeitung von externer und interner Situation in Überzeugungssystemen. GWAI Katharina Morik