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_MG_3330Q_small.png Email: katharina.morik At sign tu-dortmund.de
Phone:  
Room-No.: im Ruhestand

Consultation hour:
Wednesdays: 10-12 o'clock, advance announcement by office required.
During the semester break (solely by arrangement)

About

After completing her doctorate in 1981 at the University of Hamburg on belief systems of artificial intelligence, Katharina Morik worked in the project that developed the Hamburg application-oriented natural language system HAM-ANS at the University of Hamburg. At the TU Berlin she took over the internal project management for the joint project LERNER in 1985, in which the first German knowledge acquisition system integrating machine learning was developed. After her habilitation at the TU Berlin (1988), she continued her focus on designing such a system as an assistant to the knowledge engineer (sloppy modeling) within the ESPRIT project "Machine Learning Toolbox" at the Society for Mathematics and Data Processing in St. Augustin. In 1991 she accepted the call for the C4 professorship in the Department of Computer Science at the University of Dortmund.

Together with Professor Yves Kodratoff she organised the first European Summer School on Machine Learning and gave a course on this topic at ECAI. She organized the eleventh German workshop on Artificial Intelligence in 1987 and the International Workshop on Knowledge Representation and Organization in Machine Learning in the same year. In 1989 she organised the fourth "European Working Session on Learning". At the IJCAI-91 she organized together with Francesco Bergadano and Wray Buntine the workshop "Evaluating and Changing Representation in Machine Learning". In 1988 she founded the Section 1.1.3 for Machine Learning in the German Informatics Society, of which she was the spokesperson until 1993. Since the foundation of the "European Network of Excellence for Machine Learning and Related Fields" and the "European Network of Excellence for Knowledge Discovery", she has headed its committee for education and is also responsible for education and training issues in the European Coordinated Action "Ubiquitous Computing and Knowledge Discovery". In 1999, she organized the intensive course for artificial intelligence: Knowledge Discovery and Data Mining. In summer 2006 and spring 2008 she organised the summer school "Ubiquitous Knowledge Discovery". Together with Xindong Wu she founded the IEEE International Conference on Data Mining, of which she was the program committee chair in 2004. In 2008 she co-chaired the internationally second most popular conference on machine learning and data mining, ECML/PKDD 2008, together with Bart Goethals and Walter Daelemans.

  • She is speaker of the SFB876, which is in its third phase and has been working at the TU Dortmund since January 2011
  • Together with Stefan Wrobel, Katharina Morik heads one of the 4 competence centers for machine learning, the Competence Center for Machine Learning Rhine-Ruhr (ML2R).
  • In Juli 2022, ML2R became the sustainably funded Lamarr-Institute for Machine Learning and Artificial Intelligence.
  • Katharina Morik coordinated the cooperation of the centers among themselves and with the French AI centers.
  • Katharina Morik is on the scientific advisory board of Rapidminer (formerly Rapid-I).
  • She is co-founder and member of the Scientific Council of the European Institute for Participatory Media.
  • From the beginning until 2022 she has led the working group "Technological Enablers" in the Platform Learning Systems (with Volker Markl).
  • Katharina Morik is a member of the North Rhine-Westphalian Academy of Sciences and Arts and the German Academy of Engineering Sciences.
  • In 2019 she was appointed as a Fellow of the Gesellschaft für Informatik e.V. (German Informatics Society).

Awards

  • Best paper award: Jasminko Novak, Monika Fleischmann, Wolfgang Strauss, Michael Wurst, Katharina Morik, Jürgen Ziegler, Christoph Kunz (2002): Augmenting the knowledge bandwidth and connecting heterogeneous expert communities through uncovering tacit knowledge. 4th IEEE and ACM (SIGGRAPH) International Workshop on Knowledge Media Networking (KMN)
  • Honorable mention KDD-Cup 2004: best solution in the protein homology task (together with Martin Scholz and the student project KDD CUP)
  • Best student paper award Yahoo: Oliver Flasch, Andreas Kaspari, Katharina Morik, Michael Wurst (2006): Aspect-based Tagging for Collaborative Media Organization. In: Berendt, Menasalvas (eds) Workshop Ubiquitous Knowledge Discovery for Users (UKDU'06) also Proceedings of WebMine 2006, 122-141, Springer
  • Best paper award AIS Tech: Katharina Morik, Hendrik Blom, Norbert Webber, Tobias Beckers, Hans-Jürgen Odenthal, Jochen Schlüter (2014): Reliable BOF Endpoint Prediction by a Real-Time Data-Driven Model. Procs Association for Iron and Steel Technology, 2014 Indianapolis
  • Best industrial track paper award ECML PKDD: Christian Bockermann, Kai Brügge, Jens Buss, Alexey Egorov, Katharina Morik, Wolfgang Rhode, Tim Ruhe (2015): Online Analysis of High-Volume Data Streams in Astroparticle Physics. ECML PKDD Procs. 100 – 115.
  • Best paper award of PDFL Workshop at ECML PKDD: Lukas Heppe, Michael Kamp, Linara Adilova, Nico Piatkowski, Danny Heinrich, Katharina Morik (2020): Resource-Constrained On-Device Learning by Dynamic Averaging
  • Since 2015 Member of the Academy of Engineering Sciences
  • Since 2016 member of the North Rhine-Westphalian Academy of Sciences and Arts
  • Since 2019 Fellow of the Gesellschaft für Informatik e.V.

Presentation Slides

Misc

Editorial Board Member of

Projects

Research Topics

 

Reflections On AI And Humanity Raja Chatila, Virginia Digum, Michael Fisher, Fosca Gianotti, Katharina Morik, Stuart Russell and Karen Yeung, Reflections on Artificial Intelligence for Humanity: Trustworthy AI , Springer, 2021, ISBN 978-3-030-69127-1
Daten - Wem gehren sie? Katharina, Morik, Walter Krämer (Hg.) Daten - wem gehören sie, wer speichert sie, wer darf auf sie zugreifen? Ferdinand Schöningh, 2018, ISBN: 978-3-506-79248-8
Springerl Jörg Lässig, Kristian Kersting, Katharina Morik, Computational Sustainability. Studies in Computational Intelligence, Volume 645 2016, Springer, ISBN: 9783319318561, 2016.
Machine Learning and Knowledge in Databases Walter Daelemans, Bart Goethals, Katharina Morik (eds), Machine Learning and Knowledge Discovery in Databases European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I-II, Lecture Notes in Computer Science 5211 - 5212, Springer 2008, ISBN 9783540874782
Local Pattern Detection Katharina Morik, Jean-Francois Boulicaut, Arno Siebes (eds), Local Pattern Detection, International Seminar Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers, Springer 2005, ISBN 9783540265436
Informatik Kompakt - eine grundlegende Einführung mit Java Katharina Morik, Volker Klingspor Informatik kompakt - eine grundlegende Einführung mit Java, Springer 2005, ISBN 9783540243045
Making Robots Smarter - Combining Sensins and Action through Robot Learning Katharina Morik, Michael Kaiser, Volker Klingspor (eds) Making Robots Smarter - Combining Sensing and Action through Robot Learning Springer US 1999, ISBN 9781461373889
Knowledge Acquisition and Machine Learning Katharina Morik, Stefan Wrobel, Jörg-Uwe Kietz, Werner Emde Knowledge Acquisition and Machine Learning, Theory, Methods, and Applications, Academic Press 1993, ISBN 9780125062305
Knowledge Representation and Organization in Machine Learning Katharina Morik (ed), Knowledge Representation and Organization in Machine Learning Lecture Notes in Artificial Intelligence, Springer 1989, ISBN 9783540507680
EWSL-89 - Proceedings of the 4th European Working Session on Learning Katharina Morik (ed), EWSL-89 - Proceedings of the 4th European Working Session on Learning, Pitman 1989, ISBN 9780273088110
GWAI-87 11th German Workshop on Artificial Intelligence Katharina Morik (ed) GWAI-87 11th German Workshop on Artificial Intelligence Geseke, September 28 - October 2, 1987 Proceedings, Springer 1987, ISBN 978-3-540-18388-4

 

Publications

Fischer/etal/2023a Raphael Fischer and Jakobs, Matthias and Morik, Katharina. Energy efficiency considerations for popular AI benchmarks. In AAAI-2 Workshop AI for Innovation, 2023.
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. Arrow Symbol
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.
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. Arrow Symbol
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. Arrow Symbol
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.
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. Arrow Symbol
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. Arrow Symbol
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. Arrow Symbol
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. Arrow Symbol
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. Arrow Symbol
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. Arrow Symbol
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.
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. Arrow Symbol
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. Arrow Symbol
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. Arrow Symbol
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.
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. Arrow Symbol
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. Arrow Symbol
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. Arrow Symbol
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. Arrow Symbol
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.
Pfahler/etal/2019b Pfahler, Lukas and Schill, Jonathan and Morik, Katharina. The Search for Equations - Learning to Identify Similarities between Mathematical Expressions. In Procs. ECML PKDD2019, Springer, 2019. Arrow Symbol
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. Arrow Symbol
Buschjaeger/Morik/2017b Buschjäger, Sebastian and Morik, Katharina. Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data. In IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 65-I, No. 1, pages 209--222, 2018. Arrow Symbol
Hess/etal/2018a Hess, Sibylle and Piatkowski, Nico and Morik, Katharina. The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. In 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, SIAM, 2018. Arrow Symbol
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.
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. In 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. In Journal of Plastics Technology, Vol. 2018, No. 5, pages 301-347, 2018. Arrow Symbol
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. In 30th Euromicro Conference on Real-Time Systems, ECRTS 2018, July 3-6, 2018, Barcelona, Spain, LIPIcs, 2018.
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. In ADASS XXVII, 2017.
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. In Schriftenreihe der Wissenschaftlichen Gesellschaft für Arbeits- und Betriebsorganisation (WGAB) e.V., 2017.
Hess/etal/2017a Hess, Sibylle and Morik, Katharina and Piatkowski, Nico. The PRIMPING routine---Tiling through proximal alternating linearized minimization. In Data Mining and Knowledge Discovery, Vol. 31, No. 4, pages 1090--1131, 2017. Arrow Symbol
Hess/Morik/2017a Hess, Sibylle and Morik, Katharina. C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, Springer, 2017. Arrow Symbol
Liebig/etal/2017b Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina. Dynamic Route Planning with Real-Time Traffic Predictions. In Information Systems, Vol. 64, pages 258--265, Elsevier, 2017. Arrow Symbol
Morik/etal/2017a Morik, Katharina and Bockermann, Christian and Buschjäger, Sebastian. Big Data Science. In German journal on Artificial Intelligence (KI 2017), Vol. 32, No. 1, pages 27--36, 2017. Arrow Symbol
Pfahler/etal/2017a Pfahler, Lukas and Morik, Katharina and Elwert, Frederik and Tabti, Samira and Krech, Volkhard. Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization. In Proceedings of the 4th IEEE International Conference on Data Science and Advanced Analytics, 2017.
Erdmann/etal/2016b Erdmann, Elena and Boczek, Karin and Koppers, Lars and von Nordheim, Gerret and Poelitz, Christian and Molina, Alejandro and Morik, Katharina and Mueller, Henrik and Rahnenfuehrer, Joerg and Kersting, Kristian. Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. In Proceedings of the 2016 ICML Workshop on #Data4Good: Machine Learning in Social Good Applications, 2016.
Piatkowski/etal/2016a Piatkowski, Nico and Lee, Sangkyun and Morik, Katharina. Integer undirected graphical models for resource-constrained systems. In Neurocomputing, Vol. 173, No. 1, pages 9--23, Elsevier, 2016. Arrow Symbol
Piatkowski/Morik/2016a Piatkowski, Nico and Morik, Katharina. Stochastic Discrete Clenshaw-Curtis Quadrature. In Proceedings of the 33rd International Conference on Machine Learning, ICML 2016, New York, USA, 19-24 June 2016, JMLR.org, 2016. Arrow Symbol
Poelitz/etal/2016a Poelitz, Christian and Duivesteijn, Wouter and Morik, Katharina. Interpretable Domain Adaptation via Optimization over the Stiefel Manifold. In Machine Learning, Vol. 104, No. 2-3, pages 315-336, 2016.
Ruhe/etal/2016c Ruhe, T. and Börner, M. and Wornowizki, M. and Voigt, T. and Rhode, W. and Morik, K.. Mining for Spectra -- The Dortmund Spectrum Estimation Algorithm. In Marco Molinaro, Keith Shortridge, and Fabio Pasian (editors), 26th Astronomical Data Analysis Software and Systems conference (ADASS), Vol. 521, pages 394, Astronomical Society of the Pacific, 2016. Arrow Symbol
Stolpe/etal/2016a Stolpe, Marco and Blom, Hendrik and Morik, Katharina. Sustainable Industrial Processes by Embedded Real-Time Quality Prediction. In Kersting, Kristian and Lässig, Jörg and Morik, Katharina (editors), Computational Sustainability, pages 201--243, Springer, 2016. Arrow Symbol
Wiegand/etal/2016a Wiegand, Mario and Stolpe, Marco and Deuse, Jochen and Morik, Katharina. Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten. In at-Automatisierungstechnik, Vol. 64, No. 7, pages 521--533, 2016.
Bockermann/etal/2015a Bockermann, Christian and Brügge, Kai and Buß, Jens and Egorov, Alexey and Morik, Katharina and Rhode, Wolfgang and Ruhe, Tim. Online Analysis of High-Volume Data Streams in Astroparticle Physics. In European Conference on Machine Learning (ECML PKDD 2015), Industrial Track, Springer, 2015.
Boerner/etal/2015a Börner, Mathis and Rhode, Wolfgang and Ruhe, Tim and Morik, Katharina. Discovering Neutrinos through Data Analytics. In European Conference on Machine Learning (ECML PKDD 2015), Springer, 2015.
Buss/etal/2015a Buss, Jens and Ahnen, M.L. and Balbo, M. and Bergmann, M. and Biland, Adrian and Bockermann, Christian and Bretz, Thomas and Brügge, K. A. and Dorner, Daniela and Einecke, Sabrina and Freiwald, Jan and Hempfling, Christina and Hildebrand, D. and Hughes, Gareth and Lustermann, Werner and Mannheim, Karl and Meier, K. and Morik, Katharina and Müller, Sebastian and Neise, Dominik and Neronov, A. and Nöthe, Max and Rhode, Wolfgang and Temme, Fabian and Thaele, Julia and Toscano, Simona and Vogler, Patrick and Walter, Roland and Wilbert, A.. FACT -- Influence of SiPM Crosstalk on the Performance of an Operating Cherenkov Telescope. In Proceedings, 34th International Cosmic Ray Conference (ICRC 2015), Vol. 34, No. 1130, pages 863, The Hague, 2015. Arrow Symbol
Schwermer/Lee/2015a Schwermer, Melanie and Lee, Sangkyun and Köster, Johannes and van Maerken, Tom and Stephan, Harald and Eggert, Angelika and Morik, Katharina and Schulte, Johannes H. and Schramm, Alexander. Sensitivity to cdk1-inhibition is modulated by p53 status in preclinical models of embryonal tumors. In Oncotarget, 2015.
Stolpe/etal/2015a Marco Stolpe and Thomas Liebig and Katharina Morik. Communication-efficient learning of traffic flow in a network of wireless presence sensors. In Proceedings of the Workshop on Parallel and Distributed Computing for Knowledge Discovery in Data Bases (PDCKDD 2015), pages (to appear), CEUR-WS, 2015.
Aartsen/etal/2014c IceCube Collaboration and Morik, Katharina. Development of a General Analysis and Unfolding Scheme and its Application to Measure the Energy Spectrum of Atmospheric Neutrinos with IceCube. In European Physical Journal C, 2014.
Artikis/etal/2014a Alexander Artikis and Matthias Weidlich and Francois Schnitzler and Ioannis Boutsis and Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik and Vana Kalogeraki and Jakub Marecek and Avigdor Gal and Shie Mannor and Dimitrios Gunopulos and Dermot Kinane. Heterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management. In Proceedings of the 17th International Conference on Extending Database Technology, 2014. Arrow Symbol
Blom/etal/2014a Schlüter, Jochen and Odenthal, Hans-Jürgen and Uebber, Norbert and Blom, Hendrik and Beckers, Tobias and Morik, Katharina. Reliable BOF endpoint prediction by novel data-driven modeling. In AISTech Conference Proceedings, AISTech, 2014.
Liebig/etal/2014d Thomas Liebig and Nico Piatkowski and Christian Bockermann and Katharina Morik. Route Planning with Real-Time Traffic Predictions. In Proceedings of the LWA 2014 Workshops: KDML, IR, FGWM, pages 83-94, 2014. Arrow Symbol
Piatkowski/etal/2014a Piatkowski, Nico and Sangkyun, Lee and Morik,Katharina. The Integer Approximation of Undirected Graphical Models. In De Marsico, Maria and Tabbone, Antoine and Fred, Ana (editors), ICPRAM 2014 - Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods, ESEO, Angers, Loire Valley, France, 6-8 March, 2014, pages 296--304, SciTePress, 2014. Arrow Symbol
Piatkowski/etal/2015b Piatkowski, Nico and Streicher, Jochen and Olaf, Spinczyk and Morik, Katharina. Open Smartphone Data for Structured Mobility and Utilization Analysis in Ubiquitous Systems. In Atzmueller, Martin and Chin, Alvin and Scholz, Christoph and Trattner, Christoph (editors), Mining, Modeling and Recommending Things in Social Media, Vol. 8940, pages 116 -- 130, Springer, 2014. Arrow Symbol
Schnitzler/etal/2014b Schnitzler, Francois and Artikis, Alexander and Weidlich, Matthias and Boutsis, Ioannis and Liebig, Thomas and Piatkowski, Nico and Bockermann, Christian and Morik, Katharina and Kalogeraki, Vana and Marecek, Jakub and Gal, Avigdor and Mannor, Shie and Kinane, Dermot and Gunopulos, Dimitrios. Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. In Proceedings of the European Conference on Machine Learning (ECML), Nectar Track, pages 520-523, Springer, 2014.
Bohnen/etal/2013a Bohnen, Fabian and Stolpe, Marco and Deuse, Jochen and Morik, Katharina. Using a Clustering Approach with Evolutionary Optimized Attribute Weights to Form Product Families for Production Leveling. In Windt, Katja (editors), Robust Manufacturing Control, pages 189--202, Berlin, Heidelberg, Springer, 2013. Arrow Symbol
Czogalla/Morik/2013a Czogalla, Jan and Morik, Katharina. Rapid Development of RapidMiner Extensions. In Fischer, Simon and Mierswa, Ingo and Mendes Moreira, Jõao and Soares, Carlos (editors), Proceedings of the 4th RapidMiner Community Meeting and Conference (RCOMM 2013), pages 51--57, 2013.
Lieber/etal/2013a Lieber, Daniel and Stolpe, Marco and Konrad, Benedikt and Deuse, Jochen and Morik, Katharina. Quality Prediction in Interlinked Manufacturing Processes based on Supervised & Unsupervised Machine Learning. In Procedia CIRP - 46th CIRP Conf. on Manufacturing Systems, Vol. 7, pages 193-198, Elsevier, 2013. Arrow Symbol
Morik/2013a Morik, Katharina. Some Machine Learning Approaches to the Analysis of Temporal Data. In Becker, Claudia and Fried, Roland and Kuhnt, Sonja (editors), Robustness and Complex Data Structures -- Festschrift in Honor of Ursula Gather, pages 279 - 299, Springer, 2013.
Stolpe/etal/2013a Stolpe, M. and Bhaduri, K. and Das, K. and Morik, K.. Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines. In Blockeel, Hendrik and Kersting, Kristian and Nijssen, Siegfried and \vZelezný, Filip (editors), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III, pages 321--336, Springer, 2013.
Streicher/etal/2013b Streicher, Jochen and Piatkowski, Nico and Morik, Katharina and Spinczyk, Olaf. Open Smartphone Data for Mobility and Utilization Analysis in Ubiquitous Environments. In Atzmüller, Martin and Scholz, Christoph (editors), Proceedings of the 4th International Workshop on Mining Ubiquitous and Social Environments (MUSE), 2013.
Lieber/etal/2012a Lieber, Daniel and Konrad, Benedikt and Deuse, Jochen and Stolpe, Marco and Morik, Katharina. Sustainable Interlinked Manufacturing Processes through Real-Time Quality Prediction. In Dornfeld, David A. and Linke, Barbara S. (editors), Leveraging Technology for a Sustainable World, pages 393-398, CIRP, Berlin, Heidelberg, Springer, 2012. Arrow Symbol
Morik/etal/2011a Morik, Katharina and Kaspari, Andreas and Wurst, Michael and Skirzynski, Marcin. Multi-Objective Frequent Termset Clustering. In Knowledge and Information Systems, Vol. 30, No. 3, pages 715-738, 2012.
Morik/etal/2012a Morik, Katharina and Bhaduri, Kanishka and Kargupta, Hillol. Introduction to data mining for sustainability. In Data Mining and Knowledge Discovery, Vol. 24, No. 2, pages 311 -- 324, 2012.
Morik/etal/2012b Morik, Katharina and Blom, Hendrik and Odenthal, Hans-Jürgen and Uebber, Norbert. Resource-Aware Steel Production Through Data Mining. In SustKDD workshop at KDD, Beijing, China, 2012.
Piatkowski/Morik/2011a Piatkowski, Nico and Morik, Katharina. Parallel Inference on Structured Data with CRFs on GPUs. In International Workshop at ECML PKDD on Collective Learning and Inference on Structured Data (COLISD), Athens, Greece, 2011.
Ruhe/etal/2011b Ruhe, Tim and Morik, Katharina and Rhode, Wolfgang. Data Mining Ice Cubes. In Gabriel, Carlos et alii (editors), Astronomical Data Analysis Software and Systems, 2011.
Schowe/Morik/2011b Schowe, Benjamin and Morik, Katharina. Fast-Ensembles of Minimum Redundancy Feature Selection. In Okun, Oleg and Valentini, Giorgio and Re, Matteo (editors), Ensembles in Machine Learning Applications, pages 75--95, Springer, 2011.
Stolpe/etal/2011a Stolpe, Marco and Morik, Katharina and Konrad, Benedikt and Lieber, Daniel and Deuse, Jochen. Challenges for Data Mining on Sensor Data of Interlinked Processes. In Proceedings of the Next Generation Data Mining Summit (NGDM) 2011, 2011. Arrow Symbol
Stolpe/Morik/2011a Stolpe, M. and Morik, K.. Learning from Label Proportions by Optimizing Cluster Model Selection. In Gunopulos, Dimitrios and Hofmann, Thomas and Malerba, Donato and Vazirgiannis, Michalis (editors), Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III, pages 349--364, Springer, 2011.
Tomanek/Morik/2011a Tomanek, Katrin and Morik, Katharina. Inspecting Sample Reusability for Active Learning. In Guyon, Isabelle (editors), Proceedings of the Active Learning and Experimental Design workshop
 at AISTATS 2010, Vol. 16, pages 169–181, JMLR Workshop and Conference Proceedings, 2011.
Fricke/etal/2010a Fricke, Peter and Jungermann, Felix and Morik, Katharina and Piatkowski, Nico and Spinczyk, Olaf and Stolpe, Marco. Towards Adjusting Mobile Devices to User's Behaviour. In Proceedings of the International Workshop at ECML PKDD on Mining Ubiquitous and Social Environments (MUSE 2010), pages 7 -- 22, 2010. Arrow Symbol
Lokuciejewski/etal/2010a Lokuciejewski, Paul and Stolpe, Marco and Morik, Katharina and Marwedel, Peter. Automatic Selection of Machine Learning Models for WCET-aware Compiler Heuristic Generation. In Proceedings of the 4th Workshop on Statistical and Machine Learning Approaches to ARchitecture and compilaTion (SMART), 2010. Arrow Symbol
Morik/2010a Morik, Katharina. Medicine: Applications in Machine Learning. In Sammut, Claude and Webb, Geoffrey I. (editors), Encyclopedia of Machine Learning, pages 654-661, Springer, 2010.
Morik/etal/2010a Morik, Katharina and Stolpe, Marco and Deuse, Jochen and Bohnen, Fabian and Reichel, Ulrich. Prognosemodelle zur Ermittlung der Produkteigenschaften -- Einsatz von Data-Mining-Verfahren im Walzwerk. In stahl und eisen, No. 10, pages 80--82, 2010.
Morik/etal/2010c Morik, Katharina and Jungermann, Felix and Piatkowski, Nico and Engel,Michael. Enhancing Ubiquitous Systems Through System Call Mining. In Large-scale Analytics for Complex Instrumented Systems (LACIS), Workshop at ICDM 2010, 2010. Arrow Symbol
Schowe/Morik/2010a Schowe, Benjamin and Morik, Katharina. Fast-Ensembles of Minimum Redundancy Feature Selection. In Okun, Oleg and Valentini, Giorgio and Re, Matteo (editors), Workshop at ECML PKDD on Supervised and Unsupervised Ensemble Methods and their Applications - SUEMA 2010, 2010. Arrow Symbol
Schulte/Schowe/2010a Johannes H. Schulte and Benjamin Schowe and Pieter Mestdagh and Lars Kaderali and Prabhav Kalaghatgi and Stefanie Schlierf and Joelle Vermeulen and Bent Brockmeyer and Kristian Pajtler and Theresa Thor and Katleen de Preter and Frank Speleman and Katharina Morik and Angelika Eggert and Jo Vandesompele and Alexander Schramm. Accurate Prediction of Neuroblastoma Outcome based on miRNA Expression Profiles. In International Journal of Cancer, 2010. Arrow Symbol
Had/etal/2009a Had, Martin and Jungermann, Felix and Morik, Katharina. Relation Extraction for Monitoring Economic Networks. In Horacek, H. and Metais, E. and Munoz, R. and Wolska, M. (editors), Proceedings of the 14th International Conference on Applications of Natural Language to Information Systems (NLDB), Vol. 5723, pages 103--114, Springer, 2009.
Lokuciejewski/etal/2009a Lokuciejewski, Paul and Gedikli, Fatih and Marwedel, Peter and Morik, Katharina. Automatic WCET Reduction by Machine Learning Based Heuristics for Function Inlining. In SMART '09: Proc. of the 3rd Workshop on Statistical and Machine Learning Approaches to Architecture and Compilation, pages 1--15, Paphos / Cyprus, 2009.
Morik/etal/2009a May, Michael and Berendt, Bettina and Cornuejols, Antoine and Gama, Joao and Giannotti, Fosca and Hotho, Andreas and Malerba, Donato and Menesalvas, Ernestina and Morik, Katharina and Pedersen, Rasmus and Saitta, Lorenza and Saygin, Yucel and Schuster, Assaf and Vanhoof, Koen. Research Challenges in Ubiquitous Knowledge Discovery. In Kargupta and Han and Yu and Motwani and Kumar (editors), Next Generation of Data Mining, pages 131--151, CRC Press, 2009.
Schramm/Mierswa/2009a Schramm, Alexander and Mierswa, Ingo and Kaderali, Lars and Morik, Katharina and Eggert, Angelika and Schulte, Johannes H.. Reanalysis of neuroblastoma expression profiling data using improved methodology and extended follow-up increases validity of outcome prediction. In Cancer Letters, Vol. 282, No. 1, pages 56--62, 2009.
Jungermann/Morik/2008b Jungermann, Felix and Morik, Katharina. Enhanced Services for Targeted Information Retrieval by Event Extraction and Data Mining. In Proceedings of the 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008, Vol. 5039/2008, pages 335 - 336, Springer, 2008.
Mierswa/etal/2008a Mierswa, Ingo and Morik, Katharina and Wurst, Michael. Handling Local Patterns in Collaborative Structuring. In Masseglia, Florent and Poncelet, Pascal and Teisseire, Maguelonne (editors), Successes and New Directions in Data Mining, pages 167 -- 186, IGI Global, 2008.
Mierswa/etal/2008b Mierswa, Ingo and Morik, Katharina and Wurst, Michael. Collaborative Use of Features in a Distributed System for the Organization of Music Collections. In Shen and Shephard and Cui and Liu (editors), Intelligent Music Information Systems: Tools and Methodologies, pages 147--176, Igi Global Publishing, 2008.
Mierswa/Morik/2008a Mierswa, Ingo and Morik, Katharina. About the Non-Convex Optimization Problem Induced by Non-positive Semidefinite Kernel Learning. In Advances in Data Analysis and Classification, Vol. 2, No. 3, pages 241--258, 2008.
Morik/etal/2008a Daelemans, Walter and Goethals, Bart and Morik, Katharina. Guest Editors Introduction: Special issue of Selected Papers from ECML PKDD 2008. In Data Mining and Knowledge Discovery, Vol. 17, No. 1, pages 1-2, 2008.
Berthold/etal/2007a Berthold, Michael and Morik, Katharina and Siebes, Arno. Introduction -- Parallel Universes and Local Patterns. In Berthold, Michael and Morik, Katharina and Siebes, Arno (editors), Parallel Universes and Local Patterns, No. 07181, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.
Bockermann/etal/2007a Bockermann, Christian and Mierswa, Ingo and Morik, Katharina. On the Automated Creation of Understandable Positive Security Models for Web Applications. In 2nd International Workshop on Web and Pervasive Security, pages 554--559, 2007.
Flasch/etal/2007a Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Nemoz - A Distributed Framework for Collaborative Media Organization. In Proceedings of the Third International Workshop on Distributed Frameworks for Multimedia Applications, 2007.
Flasch/etal/2007b Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Aspect-Based Tagging for Collaborative Media Organization. In Berendt, Bettina and Hotho, Andreas and Mladenic, Dunja and Semeraro, Giovanni (editors), From Web to Social Web: Discovering and Deploying User and Content Profiles, Vol. 4737, pages 122-141, Springer, 2007. Arrow Symbol
Mierswa/etal/2007b Mierswa, Ingo and Morik, Katharina and Wurst, Michael. Collaborative Use of Features in a Distributed System for the Organization of Music Collections. In Shen, Shepherd, Cui, and Liu (editors), Intelligent Music Information Systems: Tools and Methodologies, pages 147 - 175, Information Science Reference, 2007.
Morik/Wurst/2007a Morik, Katharina and Wurst, Michael. Multi-Aspect Tagging for Collaborative Structuring. In Michael R. Berthold and Katharina Morik and Arno Siebes (editors), Parallel Universes and Local Patterns, No. 07181, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany, 2007.
Ritter/etal/2007a Morik, Katharina and Mühlenbrock, Martin. In Order to Learn -- How the Sequence of Topics Influences Learning. pages 119--136, Oxford University Press, 2007.
Wurst/Morik/2007a Wurst, Michael and Morik, Katharina. Distributed Feature Extraction in a P2P Setting - A Case Study. In Future Generation Computer Systems, Special Issue on Data Mining, Vol. 23, No. 1, pages 69 -- 75, Amsterdam, The Netherlands, Elsevier Science Publishers B. V., 2007. Arrow Symbol
Flasch/etal/2006a Flasch, Oliver and Kaspari, Andreas and Morik, Katharina and Wurst, Michael. Aspect-Based Tagging for Collaborative Media Organization. In Berendt, Bettina and others (editors), Workshop Ubiquitous Knowledge Discovery for Users (UKDU'06), 2006.
Morik/Rueping/2006a Morik, Katharina and Rüping, Stefan. Klassifikations-/Clustermethoden und Konjunkturanalyse. Duncker & Humbolt, 2006.
Morik/Rueping/2006b Morik, Katharina and Rüping, Stefan. An Inductive Logic Programming Approach to the Classification of Phases in Business Cycles. In Heilemann, U. and Weihs, Claus (editors), Classification and Clustering in Business Cycle Analysis, Duncker & Humbolt, 2006.
Wurst/etal/2006a Wurst, Michael and Morik, Katharina and Mierswa, Ingo. Localized Alternative Cluster Ensembles for Collaborative Structuring. In Johannes Fürnkranz and Tobias Scheffer and Myra Spiliopoulou (editors), Proceedings of the European Conference on Machine Learning, pages 485--496, Berlin, Springer, 2006.
Homburg/etal/2005a Homburg, Helge and Mierswa,Ingo and Moller, Bulent and Morik, Katharina and Wurst, Michael. A Benchmark Dataset for Audio Classification and Clustering. In Joshua D. Reiss and Geraint A. Wiggins (editors), Proc. of the International Symposium on Music Information Retrieval 2005, pages 528--531, London, UK, Queen Mary University, 2005.
Mierswa/Morik/2005a Mierswa, Ingo and Morik, Katharina. Automatic Feature Extraction for Classifying Audio Data. In Machine Learning Journal, Vol. 58, pages 127--149, 2005.
Mierswa/Morik/2005b Mierswa, Ingo and Morik, Katharina. Method trees: building blocks for self-organizable representations of value series: how to evolve representations for classifying audio data. In Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2005, Workshop on Self-Organization In Representations For Evolutionary Algorithms: Building complexity from simplicity, pages 293--300, New York, NY, USA, ACM, 2005.
Mierswa/Morik/2005c Mierswa, Ingo and Morik, Katharina. Evolutionäre Aufzucht von Methodenbäumen zur Merkmalsextraktion aus Audiodaten. In Informatik Spektrum, Themenheft Musik, Vol. 28, No. 5, pages 381--388, 2005.
Morik/2005a Morik, Katharina. Informatik Spektrum, Themenheft Musik. 2005. Arrow Symbol
Morik/etal/2005b Morik, Katharina and Schmidt-Traub, Henner and Hicking, Bernd and Köpcke, Hanna and Mierswa, Ingo. Optimierung von Aufstellungsentwurfen für Chemieanlagen. In Industriemanagement, Vol. 21, No. 3, pages 25--28, 2005.
Morik/etal/2005c Morik, Katharina and Boulicaut, Jean-François and Siebes, Arno. Local Pattern Detection. Vol. 3539, Springer, 2005. Arrow Symbol
Morik/Klingspor/2005a Morik, Katharina and Klingspor, Volker. Informatik kompakt. Springer, 2005.
Morik/Koepcke/2005a Morik, Katharina and Köpcke, Hanna. Features for Learning Local Patterns in Time-Stamped Data. In Katharina Morik and Jean-Francois Boulicaut and Arno Siebes (editors), Local Pattern Detection: International Seminar, Dagstuhl Castle, Germany, April 12-16, 2004, Revised Selected Papers, Vol. LNCS 3539, pages 98--114, Springer, 2005.
Roessler/Morik/2005a Roessler, Marc and Morik, Katharina. Using Unlabeled Texts for Named-Entity Recognition. In Tobias Scheffer and Stefan Rüping (editors), ICML Workshop on Multiple View Learning, 2005. Arrow Symbol
Morik/Koepcke/2004a Morik, Katharina and Köpcke, Hanna. Analysing Customer Churn in Insurance Data - A Case Study. In Jean-Francois Boulicaut and Floriana Esposito and Fosca Giannotti and Dino Pedreschi (editors), PKDD '04: Proceedings of the 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Vol. 3202, pages 325--336, New York, NY, USA, Springer, 2004.
Morik/Scholz/2004a Morik, Katharina and Scholz, Martin. The MiningMart Approach to Knowledge Discovery in Databases. In Ning Zhong and Jiming Liu (editors), Intelligent Technologies for Information Analysis, pages 47--65, Springer, 2004.
Haustein/etal/2003a Haustein, Stefan and Morik, Katharina and Pleumann, Jörg. The InfoLayer - A Simple Knowledge Management System Put To Use in Academica. In I-Know-03, Springer, 2003.
Novak/etal/2003c Novak, Jasminko and Fleischmann, Monika and Strauss, Wolfgang and Wurst, Michael and Morik, Katharina and Kunz, Christoph and Ziegler, Jürgen. Verbindung heterogener Experten-Communities durch die Entdeckung, Visualisierung und Nutzbarmachung von stillem Wissen - das AWAKE Projekt. In Mensch und Computer, 2003.
Rueping/Morik/2003a Rüping, Stefan and Morik, Katharina. Support Vector Machines and Learning about Time. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'03), 2003.
Daniel/etal/2002a Daniel, Guido and Dienstuhl, J. and Engell, S. and Felske, S. and Goser, K. and Klinkenberg, R. and Morik, K. and Ritthoff, O. and Schmidt-Traub, H.. Novel Learning Tasks, Optimization, and Their Application. In Schwefel, H.-P. and Wegener, I. and Weinert, K. (editors), Advances in Computational Intelligence -- Theory and Practice, pages 245--318, Berlin, Germany, Springer, 2002.
Kleiner/etal/2002a Kleiner, M. and Dirksen, U. and Chatti, K. and Morik, K. and Ritthoff, O.. Online-Regelung fuer das Profilbiegen mit Methoden der Computational Intelligence. In Gronau, N. and Krallmann, H. and Scholz-Reiter, B. (editors), Industrie Management, No. 6, pages 29--32, Berlin, GITO-Verlag, 2002.
Klinkenberg/etal/2002a Klinkenberg, Ralf and Ritthoff, Oliver and Morik, Katharina. Novel Learning Tasks From Practical Applications. In Henze, Nicola and Kókai, Gabriella and Zeidler, Jens (editors), LLA'02: Lehren -- Lernen -- Adaptivitat, Proceedings of the workshop of the special interest groups Machine Learning (FGML), Intelligent Tutoring Systems (ILLS), and Adaptivity and User Modeling in Interactive Systems (ABIS) of the German Computer Science Society (GI), pages 46--59, Hannover, Germany, University of Hannover, 2002.
Morik/2002a Morik, Katharina. Detecting Interesting Instances. In Hand, David J. and Adams, Niall M. and Bolton, Richard J. (editors), Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery, Vol. 2447, pages 13-23, Berlin, Springer, 2002.
Morik/etal/2002a 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. In Schmitt, Manfred and Teodorescu, Horia-Nicolai and Jain, Ashlesha and Jain, Ajita and Jain, Sandhya and Jain, Lakhmi C. (editors), Studies in Fuzzi- ness and Soft Computing., Vol. 96, pages 71--99, Physica-Verlag, 2002.
Morik/etal/2002b Morik, Katharina and Hüppe, Christian and Unterstein, Klaus. End-user Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management. In Karagiannis, Reimer (editors), Practical Aspects of Knowledge Management, pages 232 -- 243, Springer, 2002.
Morik/etal/2003c Morik, Katharina and Hüppe, Christian and Unterstein, Klaus. End-user Access to Multiple Sources - Incorporating Knowledge Discovery into Knowledge Management. In Int. Journal of Intelligent Systems in Accounting, Finance, and Management, 2002.
Morik/Rueping/2002a Morik, Katharina and Rüping, Stefan. A Multistrategy Approach to the Classification of Phases in Business Cycles. In Elomaa, Taprio and Mannila, Heikki and Toivonen, Hannu (editors), Machine Learning: ECML 2002, Vol. 2430, pages 307--318, Berlin, Springer, 2002.
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. Augmenting the knowledge bandwidth and connecting heterogeneous communities through uncovering tacit knowledge. In Proceedings of the IEEE Workshop on Knowledge Media Networking (KMN 2002), 2002.
Imhoff/etal/2000a Imhoff, Michael and Gather, Ursula and Morik, Katharina. Dynamic Knowledge Discovery and Validation for Medical Decision Support. In Healthcare Information and Management Society 2000, Dallas, 2000.
Morik/2000a Morik, Katharina. The Representation Race - Preprocessing for Handling Time Phenomena. In Ramon L\'opez de M\'antaras and Enric Plaza (editors), Proceedings of the 11th European Conference on Machine Learning (ECML), Vol. 1810, pages 4--19, Berlin, Heidelberg, New York, Springer, 2000. Arrow Symbol
Morik/etal/2000a Morik, Katharina and Imhoff, Michael and Brockhausen, Peter and Joachims, Thorsten and Gather, Ursula. Knowledge Discovery and Knowledge Validation in Intensive Care. In Artificial Intelligence in Medicine, Vol. 19, No. 3, pages 225--249, 2000.
Morik/Haustein/2000a Morik, Katharina and Haustein, Stefan. The Challenge of Discovering Meta--Data. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, American Association for Artificial Intelligence (AAAI), AAAI press, 2000.
Wrobel/etal/2000a Wrobel, Stephan and Morik, Katharina and Joachims, Thorsten. Maschinelles Lernen und Data Mining. In Görz, G. and Rollinger, C.-R. and Schneeberger, J (editors), Einführung in die Künstliche Intelligenz, pages 517--597, Oldenburg, 2000.
Kaiser/etal/99a Kaiser, Michael and Friedrich, Holger and Klingspor, Volker and Morik, Katharina. Learning in Human-Robot Communication. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, Kluwer Academic Press, 1999.
Klingspor/Morik/99a Volker Klingspor and Morik, Katharina. Learning Understandable Concepts for Robot Navigation. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, Kluwer, 1999.
Klingspor/Morik/99b Klingspor, Volker and Morik, Katharina. Towards Concept Formation Grounded on Perception and Action of an Autonomus Mobile Robot. In J. Dean and H. Cruse and H. Ritter (editors), Prerational Intelligence: Adaptive behavior and intelligent systems without symbols and logic. Vol. 2., Vol. 2, Kluwer Press, 1999.
Klingspor/Morik/99c Volker Klingspor and Morik, Katharina. Learning Operational Concepts as the Basis for Human-Robot Communication. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, Kluwer, 1999.
Morik/99b Katharina Morik. Tailoring Representations to Different Requirements. In Osamu Watanabe and Takashi Yokomori (editors), Algorithmic Learning Theory -- Procs. 10th Int. Conf. ALT99, pages 1 -- 12, Springer, 1999. Arrow Symbol
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. In ICML '99: Proceedings of the Sixteenth International Conference on Machine Learning, pages 268--277, San Francisco, CA, USA, Morgan Kaufmann Publishers Inc., 1999.
Morik/etal/99b K. Morik and V. Klingspor and M. Kaiser. Making Robots Smarter -- Combining Sensing and Action through Robot Learning. Kluwer Academic Press, 1999.
Morik/etal/99c Morik, Katharina and Pigeotb, Iris and Robers, Ursula. CORA -- A knowledge-based system for the analysis of case-control studies. In Computer Methods and Programs in Biomedicine, Vol. 58, pages 35--50, Amsterdam, Elsevier, 1999.
Morik/Imhoff/99a Morik, Katharina and Imhoff, Michael. Vergleich medizinischen Wissens und des aus einer intensivmedizinischen Datenbank gewonnenen Wissens am Beispiel des haemodynamischen Monitorings. In W.Kuckelt and K.Hankeln (editors), 9th Int. Symposium on Indensive Care, Lengerich, Berlin, Riga, Scottsdale (Az.), Wien, Zagreb, Pabstscience Publishers, 1999.
Morik/Muehlenbrock/99a Morik, Katharina and Muehlenbrock, Martin. Conceptual Change in the Explanations of Phenomena in Astronomy. In Daniel Kayser and Stella Vosniadou (editors), Modelling Changes in Understanding, pages 138--167, Pergamon, 1999.
Morik/Wessel/99a Morik, Katharina and Wessel, Stephanie. Incremental Signal to Symbol Processing. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, pages 185 --198, Kluwer Academic Publ., 1999.
Brockhausen/Morik/98a Brockhausen, Peter and Morik, Katharina. Wissensentdeckung in relationalen Datenbanken: Eine Herausforderung für das maschinelle Lernen. In Gholamreza Nakhaeizadeh (editors), Data Mining, theoretische Aspekte und Anwendungen, pages 193--211, Physica Verlag, 1998.
Muehlenbrock/Morik/98a Mühlenbrock, Martin and Morik, Katharina. Rekonstruktion des Erwerbs einer Begriffsstruktur zur Erklärung des Tag/Nacht-Zyklus. In Kognitionswissenschaft, Vol. 2, 1998.
Morik/97b Morik, Katharina. Operationale Beschreibungen des Lernens. In F. Rapp (editors), Die konstruierte Welt -- Theorie als Erzeugungsprinzip, pages 115--129, Projekt Verlag, 1997.
Morik/97c Morik, Katharina. Knowledge Discovery in Databases -- An Inductive Logic Programming Approach. In Freksa, Jantzen and Valk (editors), Foundations of Computer Science -- Theory, Cognition, Applications, pages 429--436, Springer, 1997.
Morik/Brockhausen/97a Morik, Katharina and Brockhausen, Peter. A Multistrategy Approach to Relational Knowledge Discovery in Databases. In Machine Learning Journal, Vol. 27, No. 3, pages 287--312, Kluwer, 1997.
Morik/etal/97a Morik, Katharina and Pigeot, Iris and Robers, Ursula. The Use of Inductive Logic Programming for the Development of the Statistical Software Tool CORA. In Workshop Logische Programmierung, München, 1997.
Brockhausen/Morik/96a Brockhausen, Peter and Morik, Katharina. Direct Access of an ILP Algorithm to a Database Management System. In Pfaringer, Bernhard and Furnkranz, Johannes (editors), Data Mining with Inductive Logic Programming (ILP for KDD), pages 95--110, Bari, Italy, 1996.
Klingspor/etal/96a Klingspor, Volker and Morik, Katharina and Rieger, Anke. Learning Concepts from Sensor Data of a Mobile Robot. In Machine Learning, Vol. 23, No. 2/3, pages 305-332, 1996.
Morik/Brockhausen/96a Morik, Katharina and Brockhausen, Peter. A Multistrategy Approach to Relational Knowledge Discovery in Databases. In Michalski, Ryszard S. and Wnek, Janusz (editors), Proceedings of the Third International Workshop on Multistrategy Learning (MSL-96), pages 17--27, Palo Alto, AAAI Press, 1996.
Morik/Vosniadou/95a Morik, Katharina. A Developmental Case Study on Sequential Learning: The Day-Night Cycle. In Peter Reimann and Hans Spada (editors), Learning in Humans and Machines - Towards an Interdisciplinary Learning Science, pages 212 -- 227, Elsevier, 1996.
Dillmann/etal/95a Dillmann, Rüdiger and Kaiser, M. and Klingspor, V. and Morik, K. and Wallner, F.. Teaching and Understanding Intelligent Service Robots -- A Machine Learning Approach. In Procs. Workshop 8: Information Processing for Intelligent Service Robots, KI-95, 1995.
Klingspor/Morik/95a Klingspor, Volker and Morik, Katharina. Towards Concept Formation Grounded on Perception and Action of a Mobile Robot. In U. Rembold and R. Dillmann and L.O. Hertzberger and T. Kanade (editors), IAS--4, Proc. of the 4th Intern. Conference on Intelligent Autonomous Systems, pages 271--278, Amsterdam, IOS Press, 1995.
Lindner/Morik/95a Lindner, Guido and Morik, Katharina. Coupling a Relational Learning Algorithm with a Database System. In Kodratoff and Nakhaeizadek and Taylor (editors), Statistics, Machine Learning, and Knowledge Discovery in Databases, pages 163 - 168, MLnet, 1995.
Morik/95a Morik, Katharina. Maschinelles Lernen. In Gorz, Gunther (editors), Einführung in die Künstliche Intelligenz, pages 243-297, Bonn, Germany, Addison-Wesley, 1995.
Morik/Lindner/95a Morik, Katharina and Lindner, Guido. Coupling a Relational Learning Algorithm with a Database System. In Yves Kodratoff and Gholemreza Nakhaeizadeh and Charles Taylor (editors), Statistics, Machine Learning and Knowledge Discovery in Databases, Crete, Greece, ML--Net Familiarization Workshop, 1995.
Kietz/Morik/94a Kietz, Jörg-Uwe and Morik,Katharina. A Polynomial Approach to the Constructive Induction of Structural Knowledge. In Machine Learning Journal, Vol. 14, No. 2, pages 193--217, GMD (German Natl. Research Center for Computer Science), 1994.
Klingspor/Morik/94a Klingspor, Volker and Morik, Katharina. Towards Concept Formation Grounded on Perception and Action of an Autonomous Mobile Robot. In Conf. on Prerational Intelligence in Robotics: From Sensorimotor Intelligence to Collective Behavior, pages 85--95, Center for Interdisciplinary Research, University of Bielefeld, Germany, 1994.
Morik/94a Morik, Katharina. Balanced Cooperative Modeling. In Ryszard Michalski and Gheorghe Tecuci (editors), Machine Learning -- A Multistrategy Approach, Vol. 4, pages 295--318, Morgan Kaufmann, 1994.
Morik/94b Morik, Katharina. KI und Neuroinformatik. In Fedrowitz, J. and Matejovski, D. and Kaiser, G. (editors), Zukunftsfragen der Hirnforschung, Campusverlag, 1994.
Morik/etal/94a Morik, Katharina and Potamias, George and Moustakis, Vassilis and Charissis, George. Knowledgeable Learning Using MOBAL: A Medical Case Study. In Applied Artificial Intelligence, Vol. 8, No. 4, pages 579--592, 1994.
Sommer/etal/94a Sommer,Edgar and Morik, Katharina and Andre, Jean-Michel and Uszinsky, Marc. What Online Machine Learning Can Do For Knowledge Acquisition - A Case Study. In Knowledge Acquisition, Vol. 6, No. 4, pages 435 -- 460, 1994.
Morik/93a Morik, Katharina. Balanced Cooperative Modeling. In Machine Learning, Vol. 11, pages 217--235, 1993. Arrow Symbol
Morik/93b Morik, Katharina. Maschinelles Lernen. In Gunther Gorz (editors), Einfuhrung in die Kunstliche Intelligenz, Addison Wesley, 1993.
Morik/93d Morik, Katharina. Overview of Logic-based Learning in Germany. In 8. Deutsch-Japanisches Forum Informationstechnologie, 1993.
Morik/etal/93a Morik, Katharina and Wrobel, S. and Kietz, Jörg-Uwe and Emde, W.. Knowledge Acquisition and Machine Learning - Theory, Methods, and Applications. London, Academic Press, 1993.
Morik/etal/93b Morik, Katharina and Potamias, George and Moustakis, Vassilis and Charissis, George. Knowledgeable Learning Using MOBAL - A Case Study on a Medical Domain. In Yves Kodratoff and Pat Langley (editors), Proceedings of the Applications Workshop at ECML, 1993.
Morik/etal/93c Morik, Katharina and Potamias, George and Moustakis, Vassilis and Charissis, George. Using Model-Based Learning to Support Clinical Decision Making - A Case Study. In 4th Conference on Artificial Intelligence in Medicine Europe, 1993.
Morik/Rieger/93a Katharina Morik and Anke Rieger. Learning Action-Oriented Perceptual Features for Robot Navigation. In Attilio Giordana (editors), Learning Robots -- Proceedings of ECML Workshop, 1993.
Morik/92a Morik, Katharina. Applications of Machine Learning. In Thomas Wetter and Klaus-Dieter Althoff and John Boose and Brian Gaines (editors), Current Developments in Knowledge Acquisition - EKAW92, Vol. 599, pages 9--13, Springer, 1992.
Kietz/Morik/91a Kietz, Jörg-Uwe and Morik, Katharina. Constructive Induction of Background Knowledge. In Proceedings of the Workshop W8 at the 12th IJCAI--91: Evaluating and Changing Representations in Machine Learning, 1991.
Morik/91b Morik, Katharina. Underlying Assumptions of Knowledge Acquisition and Machine Learning. In Knowledge Acquisition, Vol. 3, pages 137--156, 1991.
Morik/91d Morik, Katharina. Machine Learning Toolbox. In KI - Künstliche Intelligenz, Vol. 5, No. 1, pages 34--36, 1991.
Morik/91f Morik, Katharina. Maschinelles Lernen in Deutschland. In KI - Künstliche Intelligenz, Vol. 5, No. 1, pages 32--34, 1991.
Morik/etal/91a Morik, Katharina and others. A Common Knowledge Representation Integrating Learning Tools. In Proc. of the 1st International Workshop on Multistrategy Learning, Harpers Ferry, 1991.
Morik/90b Morik, Katharina. Integrating manual and automatic knowledge acquisition -- BLIP. In Readings in Knowledge Acquisition: Current Practices and Trends, pages 213--232, New York [u.a.], Horwood, 1990.
Emde/Morik/89a Emde, Werner and Morik, Katharina. Consultation-independent learning in BLIP. In Kodratoff, Yves and Hutchinson, Alan (editors), Machine and Human Learning, pages 93--104, East Wittering, England, Michael Horwood Publ., 1989.
Morik/89a Morik, Katharina. Integration Issues in Knowledge Acquisition Systems. In ACM Sigart Newsletter, Vol. 108, pages 124--131, 1989.
Morik/89c Morik, Katharina. Sloppy Modeling. In Morik, Katharina (editors), Knowledge Representation and Organization in Machine Learning, pages 107--134, Berlin, New York, Springer, 1989.
Morik/Kietz/89b Morik, Katharina and Kietz, Jörg-Uwe. A Bootstrapping Approach to Conceptual Clustering. In Proc. Sixth Intern. Workshop on Machine Learning, 1989.
Morik/88a Morik, Katharina. Acquiring Domain Models. In John Boose and Brian Gaines (editors), Knowledge Acquisition Tools for Expert Systems, Academic Press, 1988.
Morik/87b Morik, Katharina. User Models and Conversational Settings -- Modelling the User's Wants. In Wahlster, W. and Kobsa, A. (editors), User Models in Dialog Systems, pages 364--385, Springer, 1987.
Morik/87d Morik, Katharina. Acquiring Domain Models. In Intern. Journal of Man Machine Studies, Vol. 26, pages 93--104, 1987.
Hoeppner/etal/84a Hoeppner, Wolfgang and Morik, Katharina and Marburger, Heinz. Talking it Over: The Natural Language Dialog System HAM-ANS. In Cooperative Interfaces to Information Systems, pages 189--258, Springer, 1986.
Morik/86a Morik, Katharina. Acquiring Domain Models. In International Journal of Man-Machine Studies, 1986.
Busemann/etal/85a Busemann, Stephan and Hoeppner, W. and Marburger, H. and Morik, K.. Representing and Processing Copula and Full-Verb Sentences in HAM-ANS. In GWAI-85. German Workshop on Artificial Intelligence, 1985.
Morik/85a Morik, Katharina. Ansätze der sprachorientierten KI-Forschung. In LDV-Forum, No. 2, 1985.
Morik/85b Morik, Katharina. Partnermodellierung in Beratungsdialogen. In Sprachverarbeitung in Information und Dokumentation 10. Jahrestagung der Gesellschaft fur Linguistische Datenverarbeitung, 1985.
Morik/85c Morik, Katharina. User Modelling, Dialog Structure, and Dialog Strategy in HAM-ANS. In Procs. of 2nd EACL, 1985.
Morik/Rollinger/85a Morik, Katharina and Rollinger, Claus-Rainer. The Real Estate Agent - Modeling Users by Uncertain Reasoning. In The AI Magazine, Vol. 6, No. 2, pages 44--52, 1985. Arrow Symbol
Morik/84a Morik, Katharina. Partnermodellierung und Interessenprofile bei Dialogsystemen der Künstlichen Intelligenz. In Claus--Rainer Rollinger (editors), Probleme des (Text)-Verstehens. Ansatze der Künstlichen Intelligenz, pages 249--264, 1984.
Morik/84b Morik, Katharina. Customers' Requirements for Natural Language Systems: Results of an Inquiry. In International Journal of Man Machine Studies, 1984.
Hoeppner/etal/83a Hoeppner, Wolfgang and Morik, Katharina. Das Dialogsystem HAM-ANS: Worauf basiert es, wie funktioniert es und wem antwortet es?. In Linguistische Berichte, No. 88, 1983.
Hoeppner/etal/83b Hoeppner, Wolfgang and Christaller, Thomas and Marburger, Heinz and Morik, Katharina and Nebel, Bernhard and O'Leary, Mike and Wahlster, Wolfgang. Beyond Domain-Independence: Experience with the Development of a German Language Access System to Highly Diverse Background Systems. In Procs. of the 8th IJCAI, 1983.
Morik/83a Morik, Katharina. Demand and Requirements for Natural Language Systems -- Results of an Inquiry. In Proceedings of the 8th International Joint Conference on Artificial Intelligence (IJCAI), 1983.
Morik/Rollinger/83a Morik, Katharina and Rollinger, Claus-Rainer. Partnermodellierung im Evidenzraum. In GWAI-83. 7th German Workshop on Artificial Intelligence, 1983.
Christaller/etal/82a Christaller,Thomas and von Hahn, W. and Hoeppner, W. and Marburger, H. and Morik, K.. Wissensbasierter natürlichsprachlicher Zugang zu unterschiedlichen Diskursbereichen mit dem KI-System HAM-ANS. In R. Slama (editors), Workshop Sprachverarbeitung, Gesellschaft für Mathematik und Datenverarbeitung, Bonn, Addison-Wesley, 1982.
Morik/82a Morik, Katharina. Überzeugungssysteme der Künstlichen Intelligenz. Validierung vor dem Hintergrund linguistischer Theorien über implizite Ausserungen. Tübingen, Max Niemeyer, 1982.
Morik/81b Morik, Katharina. Verarbeitung von externer und interner Situation in Überzeugungssystemen. In Siekmann, Jörg H. (editors), German Workshop on Artificial Intelligence GWAI--81, No. 47, pages 287--296, Berlin u.a., Springer, 1981.

Software

Software

Supervised Theses