Source: https://www-ai.cs.uni-dortmund.de/FORSCHUNG/index.html
Timestamp: 2019-04-26 15:45:01+00:00

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The artificial intelligence unit works on the discovery, management and application of knowledge. The main topics of our research cover a wide range of current problems, methods and application areas.
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.
Stolpe/2017a Marco Stolpe. Distributed Analysis of Vertically Partitioned Sensor Measurements under Communication Constraints. TU Dortmund University, Dortmund, 2017.
Odom/etal/2016a Odom, P and Kumaraswamy, R. and Kersting, K. and Natarajan, S.. Learning through Advice-Seeking via Transfer. In James Cussens and Alessandra Russo (editors), Proceedings of the 26th International Conference on Inductive Logic (ILP), Springer, 2016.
Stolpe/2016a Marco Stolpe. The Internet of Things: Opportunities and Challenges for Distributed Data Analysis. In SIGKDD Explorations, Vol. 18, No. 1, pages 15-34, 2016.
Taylor/etal/2016a Taylor, Joseph and Sharmanska, and Kersting, Kristian and Weir, David and Quadrianto, Novi. Learning using Unselected Features (LUFe). In S. Kambhampati (editors), Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016.
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.
Arnu/2014a David Arnu. Zusammenhangsanalyse von Materialeigenschaften und Röntgenbeugung (XRD) für ternäre Systeme. 2014.
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.
Czogalla/2014a Czogalla, Jan. Verbesserung der Lehre durch Frameworking. In Gesellschaft für Informatik e.V. (editors), Lecture Notes in Informatics - Informatiktage 2014, Vol. S - 13, pages 245--248, Gesellschaft für Informatik e.V., 2014.
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.
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.
Neumann/etal/2013b Neumann, Marion and Moreno, Plinio and Antanas, Laura and Garnett, Roman and Kersting, Kristian. Graph Kernels for Object Category Prediction in Task-Dependent Robot Grasping. In Adamic,L. and Getoor, L. and Huang, B. and Leskovec, J. and McAuley, J. (editors), Working Notes of the International Workshop on Mining and Learning with Graphs, Chicago, IL, USA, 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.
Gieseke/etal/2012a Fabian Gieseke and Gabriel Moruz and Jan Vahrenhold. Resilient K-d Trees: K-Means in Space Revisited. In Frontiers of Computer Science, Vol. 6, No. 2, pages 166-178, 2012.
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.
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.
Natarajan/etal/2012c Natarajan, Sriraam and Khot, Tushar and Kersting, Kristian and Gutmann, Bernd and Shavlik, Jude. Gradient-based boosting for statistical relational learning: The relational dependency network case. In Machine Learning Journal, Vol. 86, No. 1, 2012.
Scheffer/Vahrenhold/2012a Christian Scheffer and Jan Vahrenhold. Approximating Geodesic Distances on 2-Manifolds in $R^3$. In Computational Geometry: Theory & Applications, 2012.
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.
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.
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.
Sanner/Kersting/2010a Sanner, Scott and Kersting, Kristian. Symbolic Dynamic Programming for First-order POMDPs. In Fox, M. and Poole, D. (editors), Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10), Atlanta, USA, 2010.
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.
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.
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.
Kersting/Driessens/2008a Kersting, Kristian and Driessens, Kurt. Non-Parametric Policy Gradients: A Unified Treatment of Propositional and Relational Domains. In McCallum, A. and Roweis, S. (editors), Proceedings of the 25th International Conference on Machine Learning, Helsinki, Finland, 2008.
Milch/etal/2008a Milch, Brian and Zettlemoyer, Luke S. and Kersting, Kristian and Haimes, Michael and Kaelbling, Leslie Pack. Lifted Probabilistic Inference with Counting Formulas. In Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, Chicago, Illinois, 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.
Kersting/etal/2007a Kersting, Kristian and Plagemann, Christian and Pfaff, Patrick and Burgard, Wolfram. Most Likely Heteroscedastic Gaussian Process Regression. In Ghahramani, Z. (editors), Proceedings of the 24th Annual International Conference on Machine Learning, Corvallis, OR, USA, 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.
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.
Haustein/Pleumann/2005a Stefan Haustein and Jorg Pleumann. A Model-Driven Runtime Environment for Web Applications. In Software and Systems Modeling, 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.
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.
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 R\"uping (editors), ICML Workshop on Multiple View Learning, 2005.
Klinkenberg/2004a Klinkenberg, Ralf. Learning Drifting Concepts: Example Selection vs. Example Weighting. In Intelligent Data Analysis (IDA), Special Issue on Incremental Learning Systems Capable of Dealing with Concept Drift, Vol. 8, No. 3, pages 281--300, 2004.
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.
Novak/etal/2003c Novak, Jasminko and Fleischmann, Monika and Strauss, Wolfgang and Wurst, Michael and Morik, Katharina and Kunz, Christoph and Ziegler, J"urgen. Verbindung heterogener Experten-Communities durch die Entdeckung, Visualisierung und Nutzbarmachung von stillem Wissen - das AWAKE Projekt. In Mensch und Computer, 2003.
Ritthoff/Klinkenberg/2003a Ritthoff, Oliver and Klinkenberg, Ralf. Evolutionary Feature Space Transformation using Type-Restricted Generators. In Cantu-Paz, E. et al. (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2003) - Part II, pages 1606--1607, Springer, 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/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.
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.
Klinkenberg/2001a Klinkenberg, Ralf. Using Labeled and Unlabeled Data to Learn Drifting Concepts. In Kubat, Miroslav and Morik, Katharina (editors), Workshop notes of the IJCAI-01 Workshop on \em Learning from Temporal and Spatial Data, pages 16--24, IJCAI, Menlo Park, CA, USA, AAAI Press, 2001.
Klinkenberg/Joachims/2000a Klinkenberg, Ralf and Joachims, Thorsten. Detecting Concept Drift with Support Vector Machines. In Langley, Pat (editors), Proceedings of the Seventeenth International Conference on Machine Learning (ICML), pages 487--494, San Francisco, CA, USA, Morgan Kaufmann, 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.
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.
Haustein/Luedecke/99a Haustein, Stefan and Ludecke, Sascha. Kombination von Agenten- und Blackboard-Technologien fur betriebswirtschaftliche Anwendungen. In Proceedings des Workshops "Agententechnologie" auf der KI 99: Agententechnologie -- Multiagentensysteme in der Informationslogistik und wirtschaftswissenschaftliche Perspektiven der Agenten-Konzeptionalisierung, pages 9 -- 15, 1999.
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.
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/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.
Rieger/Klingspor/99a Rieger, Anke and Klingspor, Volker. Program Optimization for Real-Time Performance. In K. Morik and V. Klingspor and M. Kaiser (editors), Making Robots Smarter -- Combining Sensing and Action through Robot Learning, Kluwer Academic Press, 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.
Klinkenberg/Renz/98a Klinkenberg, Ralf and Renz, Ingrid. Adaptive Information Filtering: Learning in the Presence of Concept Drifts. In Sahami, Mehran and Craven, Mark and Joachims, Thorsten and McCallum, Andrew (editors), Workshop Notes of the ICML/AAAI-98 Workshop \em Learning for Text Categorization, pages 33--40, Menlo Park, CA, USA, AAAI Press, 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.
Rieger/Klingspor/98a Anke Rieger and Klingspor, Volker. Program Optimization for Real-Time Performance. In V. Klingspor and M. Kaiser and A. Giordana and H. van Brussel (editors), Making Robots Smart -- Behavioral Learning Combines Sensing and Action, Kluwer Academic Press, 1998.

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