Morik, Katharina

41 publications

MLJ 2022 Explainable Online Ensemble of Deep Neural Network Pruning for Time Series Forecasting Amal Saadallah, Matthias Jakobs, Katharina Morik

ECML-PKDD 2022 Online Adaptive Multivariate Time Series Forecasting Amal Saadallah, Hanna Mykula, Katharina Morik

AAAI 2022 Shrub Ensembles for Online Classification Sebastian Buschjäger, Sibylle Hess, Katharina Morik

ECML-PKDD 2021 Certification of Model Robustness in Active Class Selection Mirko Bunse, Katharina Morik

ECML-PKDD 2021 Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting Amal Saadallah, Matthias Jakobs, Katharina Morik

ECML-PKDD 2021 Very Fast Streaming Submodular Function Maximization Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik

ECML-PKDD 2020 On-Site Gamma-Hadron Separation with Deep Learning on FPGAs Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode

ECML-PKDD 2019 A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting Amal Saadallah, Florian Priebe, Katharina Morik

ECML-PKDD 2019 The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions Lukas Pfahler, Jonathan Schill, Katharina Morik

AAAI 2019 The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik

UAI 2018 Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation Nico Piatkowski, Katharina Morik

ECML-PKDD 2018 Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent Lukas Pfahler, Katharina Morik

ECML-PKDD 2017 C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization Sibylle Hess, Katharina Morik

ECML-PKDD 2016 INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data 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

MLJ 2016 Interpretable Domain Adaptation via Optimization over the Stiefel Manifold Christian Pölitz, Wouter Duivesteijn, Katharina Morik

ECML-PKDD 2016 Resource-Aware Steel Production Through Data Mining Hendrik Blom, Katharina Morik

ICML 2016 Stochastic Discrete Clenshaw-Curtis Quadrature Nico Piatkowski, Katharina Morik

ECML-PKDD 2015 Discovering Neutrinos Through Data Analytics Mathis Börner, Wolfgang Rhode, Tim Ruhe, Katharina Morik

ECML-PKDD 2015 Online Analysis of High-Volume Data Streams in Astroparticle Physics Christian Bockermann, Kai Brügge, Jens Buß, Alexey Egorov, Katharina Morik, Wolfgang Rhode, Tim Ruhe

ECML-PKDD 2014 Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights 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

ECML-PKDD 2013 Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines Marco Stolpe, Kanishka Bhaduri, Kamalika Das, Katharina Morik

MLJ 2013 Spatio-Temporal Random Fields: Compressible Representation and Distributed Estimation Nico Piatkowski, Sangkyun Lee, Katharina Morik

ECML-PKDD 2012 Separable Approximate Optimization of Support Vector Machines for Distributed Sensing Sangkyun Lee, Marco Stolpe, Katharina Morik

ECML-PKDD 2011 Learning from Label Proportions by Optimizing Cluster Model Selection Marco Stolpe, Katharina Morik

MLJ 2008 Guest Editors' Introduction: Special Issue of Selected Papers from ECML PKDD 2008 Walter Daelemans, Bart Goethals, Katharina Morik

ECML-PKDD 2008 Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I Walter Daelemans, Bart Goethals, Katharina Morik

ECML-PKDD 2008 Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II Walter Daelemans, Bart Goethals, Katharina Morik

ECML-PKDD 2006 Localized Alternative Cluster Ensembles for Collaborative Structuring Michael Wurst, Katharina Morik, Ingo Mierswa

MLJ 2005 Automatic Feature Extraction for Classifying Audio Data Ingo Mierswa, Katharina Morik

ECML-PKDD 2002 A Multistrategy Approach to the Classification of Phases in Business Cycles Katharina Morik, Stefan Rüping

ECML-PKDD 2000 The Representation Race - Preprocessing for Handling Time Phenomena Katharina Morik

ICML 1999 Combining Statistical Learning with a Knowledge-Based Approach - A Case Study in Intensive Care Monitoring Katharina Morik, Peter Brockhausen, Thorsten Joachims

ALT 1999 Tailoring Representations to Different Requirements Katharina Morik

MLJ 1997 A Multistrategy Approach to Relational Knowledge Discovery in Databases Katharina Morik, Peter Brockhausen

MLJ 1996 Learning Concepts from Sensor Data of a Mobile Robot Volker Klingspor, Katharina Morik, Anke D. Rieger

MLJ 1994 A Polynomial Approach to the Constructive Induction of Structural Knowledge Jörg-Uwe Kietz, Katharina Morik

MLJ 1994 Guest Editorial Katharina Morik, Francesco Bergadano, Wray L. Buntine

MLJ 1993 Balanced Cooperative Modeling Katharina Morik

ICML 1989 A Bootstrapping Approach to Concept Clustering Katharina Morik, Jörg-Uwe Kietz

IJCAI 1983 Beyond Domain-Independence: Experience with the Development of a German Language Access System to Highly Diverse Background Systems Wolfgang Hoeppner, Thomas Christaller, Heinz Marburger, Katharina Morik, Bernhard Nebel, Mike O'Leary, Wolfgang Wahlster

IJCAI 1983 Demand and Requirements for Natural Language Systems - Results of an Inquiry Katharina Morik