Katharina Morik

ORCID

Publication Activity (10 Years)

Years Active: 1981-2024
Publications (10 Years): 95

Top Venues

University of Hamburg, Germany (PHD)

Education History

University of Hamburg, Germany

PHD

Publications

Raphael Fischer, Thomas Liebig, Katharina Morik
Towards more sustainable and trustworthy reporting in machine learning. Data Min. Knowl. Discov. 38 (4) (2024)
Sebastian Buschjäger, Katharina Morik
regularization. Data Min. Knowl. Discov. 37 (3) (2023)
Raphael Fischer, Matthias Jakobs, Katharina Morik
Energy Efficiency Considerations for Popular AI Benchmarks. CoRR (2023)
Simon Koschel, Sebastian Buschjäger, Claudio Lucchese, Katharina Morik
Fast Inference of Tree Ensembles on ARM Devices. CoRR (2023)
Lukas Pfahler, Katharina Morik
Self-Supervised Pretraining of Graph Neural Network for the Retrieval of Related Mathematical Expressions in Scientific Articles. CoRR (2022)
Katharina Morik, Helena Kotthaus, Raphael Fischer, Sascha Mücke, Matthias Jakobs, Nico Piatkowski, Andreas Pauly, Lukas Heppe, Danny Heinrich
Yes we care!-Certification for machine learning methods through the care label framework. Frontiers Artif. Intell. 5 (2022)
Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
A Unified Framework for Assessing Energy Efficiency of Machine Learning. PKDD/ECML Workshops (1) (2022)
Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik
Randomized outlier detection with trees. Int. J. Data Sci. Anal. 13 (2) (2022)
Martin Senz, Mirko Bunse, Katharina Morik
Certifiable Active Class Selection in Multi-Class Classification. IAL@PKDD/ECML (2022)
Amal Saadallah, Hanna Mykula, Katharina Morik
Online Adaptive Multivariate Time Series Forecasting. ECML/PKDD (6) (2022)
Amal Saadallah, Felix Finkeldey, Jens Buß, Katharina Morik, Petra Wiederkehr, Wolfgang Rhode
Simulation and sensor data fusion for machine learning application. Adv. Eng. Informatics 52 (2022)
Mikail Yayla, Sebastian Buschjäger, Aniket Gupta, Jian-Jia Chen, Jörg Henkel, Katharina Morik, Kuan-Hsun Chen, Hussam Amrouch
FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit Errors. IEEE Trans. Computers 71 (7) (2022)
Kuan-Hsun Chen, Chiahui Su, Christian Hakert, Sebastian Buschjäger, Chao-Lin Lee, Jenq-Kuen Lee, Katharina Morik, Jian-Jia Chen
Efficient Realization of Decision Trees for Real-Time Inference. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Amal Saadallah, Matthias Jakobs, Katharina Morik
Explainable online ensemble of deep neural network pruning for time series forecasting. Mach. Learn. 111 (9) (2022)
Mikail Yayla, Simon Thomann, Sebastian Buschjäger, Katharina Morik, Jian-Jia Chen, Hussam Amrouch
Reliable Binarized Neural Networks on Unreliable Beyond Von-Neumann Architecture. IEEE Trans. Circuits Syst. I Regul. Pap. 69 (6) (2022)
Sebastian Buschjäger, Sibylle Hess, Katharina Morik
Shrub Ensembles for Online Classification. AAAI (2022)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías Jiménez, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Ethics Inf. Technol. 23 (S1) (2021)
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Sascha Mücke, Andreas Pauly, Matthias Jakobs, Nico Piatkowski
Yes We Care! - Certification for Machine Learning Methods through the Care Label Framework. CoRR (2021)
Philipp-Jan Honysz, Alexander Schulze-Struchtrup, Sebastian Buschjäger, Katharina Morik
Providing Meaningful Data Summarizations Using Examplar-based Clustering in Industry 4.0. CoRR (2021)
Amal Saadallah, Katharina Morik
Online Ensemble Aggregation using Deep Reinforcement Learning for Time Series Forecasting. DSAA (2021)
Mirko Bunse, Katharina Morik
Active Class Selection with Uncertain Class Proportions. IAL@PKDD/ECML (2021)
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Bit Error Tolerance Metrics for Binarized Neural Networks. CoRR (2021)
Amal Saadallah, Maryam Tavakol, Katharina Morik
An Actor-Critic Ensemble Aggregation Model for Time-Series Forecasting. ICDE (2021)
Sebastian Buschjäger, Sibylle Hess, Katharina Morik
Shrub Ensembles for Online Classification. CoRR (2021)
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski
The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning. CoRR (2021)
Philipp-Jan Honysz, Sebastian Buschjäger, Katharina Morik
GPU-Accelerated Optimizer-Aware Evaluation of Submodular Exemplar Clustering. CoRR (2021)
Felix Gonsior, Sascha Mücke, Katharina Morik
Structure Search for Normalizing Flows. LWDA (2021)
Sebastian Buschjäger, Katharina Morik
There is no Double-Descent in Random Forests. CoRR (2021)
Lukas Pfahler, Mirko Bunse, Katharina Morik
Noisy Labels for Weakly Supervised Gamma Hadron Classification. CoRR (2021)
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Margin-Maximization in Binarized Neural Networks for Optimizing Bit Error Tolerance. DATE (2021)
Amal Saadallah, Katharina Morik
Meta-Adversarial Training of Neural Networks for Binary Classification. IJCNN (2021)
Mirko Bunse, Katharina Morik
Certification of Model Robustness in Active Class Selection. ECML/PKDD (2) (2021)
Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik, Björn B. Brandenburg
Efficiently Approximating the Worst-Case Deadline Failure Probability Under EDF. RTSS (2021)
Amal Saadallah, Matthias Jakobs, Katharina Morik
Explainable Online Deep Neural Network Selection Using Adaptive Saliency Maps for Time Series Forecasting. ECML/PKDD (1) (2021)
Lukas Pfahler, Katharina Morik
Explaining Deep Learning Representations by Tracing the Training Process. CoRR (2021)
Sebastian Buschjäger, Philipp-Jan Honysz, Lukas Pfahler, Katharina Morik
Very Fast Streaming Submodular Function Maximization. ECML/PKDD (3) (2021)
Sebastian Buschjäger, Katharina Morik
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement. CoRR (2021)
Amal Saadallah, Katharina Morik
Active Sampling for Learning Interpretable Surrogate Machine Learning Models. DSAA (2020)
Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik
Very Fast Streaming Submodular Function Maximization. CoRR (2020)
Raphael Fischer, Matthias Jakobs, Sascha Mücke, Katharina Morik
Solving Abstract Reasoning Tasks with Grammatical Evolution. LWDA (2020)
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
Resource-Constrained On-Device Learning by Dynamic Averaging. PKDD/ECML Workshops (2020)
Sebastian Buschjäger, Philipp-Jan Honysz, Katharina Morik
Generalized Isolation Forest: Some Theory and More Applications Extended Abstract. DSAA (2020)
Mirko Bunse, Dorina Weichert, Alexander Kister, Katharina Morik
Optimal Probabilistic Classification in Active Class Selection. ICDM (2020)
Lukas Heppe, Michael Kamp, Linara Adilova, Danny Heinrich, Nico Piatkowski, Katharina Morik
Resource-Constrained On-Device Learning by Dynamic Averaging. CoRR (2020)
Lukas Pfahler, Katharina Morik
Semantic Search in Millions of Equations. KDD (2020)
Sebastian Buschjäger, Jian-Jia Chen, Kuan-Hsun Chen, Mario Günzel, Christian Hakert, Katharina Morik, Rodion Novkin, Lukas Pfahler, Mikail Yayla
Towards Explainable Bit Error Tolerance of Resistive RAM-Based Binarized Neural Networks. CoRR (2020)
Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Giovanna Tinetti, Subhajit Sarkar, James M. Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petkovic, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR (2020)
Raphael Fischer, Nico Piatkowski, Charlotte Pelletier, Geoffrey I. Webb, François Petitjean, Katharina Morik
No Cloud on the Horizon: Probabilistic Gap Filling in Satellite Image Series. DSAA (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. CoRR (2020)
Sebastian Buschjäger, Lukas Pfahler, Jens Buß, Katharina Morik, Wolfgang Rhode
On-Site Gamma-Hadron Separation with Deep Learning on FPGAs. ECML/PKDD (4) (2020)
Felix Finkeldey, Amal Saadallah, Petra Wiederkehr, Katharina Morik
Real-time prediction of process forces in milling operations using synchronized data fusion of simulation and sensor data. Eng. Appl. Artif. Intell. 94 (2020)
Sebastian Buschjäger, Lukas Pfahler, Katharina Morik
Generalized Negative Correlation Learning for Deep Ensembling. CoRR (2020)
Mirco Nanni, Gennady L. Andrienko, Albert-László Barabási, Chiara Boldrini, Francesco Bonchi, Ciro Cattuto, Francesca Chiaromonte, Giovanni Comandé, Marco Conti, Mark Coté, Frank Dignum, Virginia Dignum, Josep Domingo-Ferrer, Paolo Ferragina, Fosca Giannotti, Riccardo Guidotti, Dirk Helbing, Kimmo Kaski, János Kertész, Sune Lehmann, Bruno Lepri, Paul Lukowicz, Stan Matwin, David Megías, Anna Monreale, Katharina Morik, Nuria Oliver, Andrea Passarella, Andrea Passerini, Dino Pedreschi, Alex Pentland, Fabio Pianesi, Francesca Pratesi, Salvatore Rinzivillo, Salvatore Ruggieri, Arno Siebes, Vicenç Torra, Roberto Trasarti, Jeroen van den Hoven, Alessandro Vespignani
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. Trans. Data Priv. 13 (1) (2020)
Amal Saadallah, Nico Piatkowski, Felix Finkeldey, Petra Wiederkehr, Katharina Morik
Learning Ensembles in the Presence of Imbalanced Classes. ICPRAM (2019)
Mirko Bunse, Katharina Morik
What Can We Expect from Active Class Selection? LWDA (2019)
Amal Saadallah, Florian Priebe, Katharina Morik
A Drift-Based Dynamic Ensemble Members Selection Using Clustering for Time Series Forecasting. ECML/PKDD (1) (2019)
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. AAAI (2019)
Sebastian Buschjäger, Thomas Liebig, Katharina Morik
Gaussian Model Trees for Traffic Imputation. ICPRAM (2019)
Sascha Mücke, Nico Piatkowski, Katharina Morik
Hardware Acceleration of Machine Learning Beyond Linear Algebra. PKDD/ECML Workshops (1) (2019)
Mirko Bunse, Nico Piatkowski, Tim Ruhe, Katharina Morik, Wolfgang Rhode
A Data Science Perspective on Deconvolution. GI-Jahrestagung (2019)
Lukas Pfahler, Jonathan Schill, Katharina Morik
The Search for Equations - Learning to Identify Similarities Between Mathematical Expressions. ECML/PKDD (3) (2019)
Felix Gonsior, Nico Piatkowski, Katharina Morik
Another View on Optimization as Probabilistic Inference. LWDA (2019)
Sibylle Hess, Katharina Morik, Nico Piatkowski
The PRIMPing Routine - Tiling through Proximal Alternating Linearized Minimization. CoRR (2019)
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. CoRR (2019)
Maryam Tavakol, Sebastian Mair, Katharina Morik
HyperUCB: Hyperparameter Optimization Using Contextual Bandits. PKDD/ECML Workshops (1) (2019)
Sascha Mücke, Nico Piatkowski, Katharina Morik
Learning Bit by Bit: Extracting the Essence of Machine Learning. LWDA (2019)
Sibylle Hess, Nico Piatkowski, Katharina Morik
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. CoRR (2019)
Sibylle Hess, Katharina Morik
C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. CoRR (2019)
Raphael Fischer, Nico Piatkowski, Katharina Morik
Parameter Sharing for Spatio-Temporal Process Models. LWDA (2019)
Mirko Bunse, Nico Piatkowski, Katharina Morik, Tim Ruhe, Wolfgang Rhode
Unification of Deconvolution Algorithms for Cherenkov Astronomy. DSAA (2018)
Katharina Morik, Christian Bockermann, Sebastian Buschjäger
Big Data Science. Künstliche Intell. 32 (1) (2018)
Georg von der Brüggen, Nico Piatkowski, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik
Efficiently Approximating the Probability of Deadline Misses in Real-Time Systems. ECRTS (2018)
Sibylle Hess, Nico Piatkowski, Katharina Morik
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. SDM (2018)
Lukas Pfahler, Katharina Morik
Nyström-SGD: Fast Learning of Kernel-Classifiers with Conditioned Stochastic Gradient Descent. ECML/PKDD (2) (2018)
Erich Schubert, Sibylle Hess, Katharina Morik
The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering. LWDA (2018)
Lukas Pfahler, Frederik Elwert, Samira Tabti, Katharina Morik, Volker Krech
What do you do with 5 million posts? Versuche zum distant reading religiöser Online-Foren. DHd (2018)
Nico Piatkowski, Katharina Morik
Fast Stochastic Quadrature for Approximate Maximum-Likelihood Estimation. UAI (2018)
Mirko Bunse, Nico Piatkowski, Katharina Morik
Towards a Unifying View on Deconvolution in Cherenkov Astronomy. LWDA (2018)
Sebastian Buschjäger, Katharina Morik
Decision Tree and Random Forest Implementations for Fast Filtering of Sensor Data. IEEE Trans. Circuits Syst. I Regul. Pap. (1) (2018)
Sebastian Buschjäger, Kuan-Hsun Chen, Jian-Jia Chen, Katharina Morik
Realization of Random Forest for Real-Time Evaluation through Tree Framing. ICDM (2018)
Lukas Pfahler, Katharina Morik, Frederik Elwert, Samira Tabti, Volkhard Krech
Learning Low-Rank Document Embeddings with Weighted Nuclear Norm Regularization. DSAA (2017)
Gennady L. Andrienko, Dimitrios Gunopulos, Yannis E. Ioannidis, Vana Kalogeraki, Ioannis Katakis, Katharina Morik, Olivier Verscheure
Mining Urban Data (Part C). Inf. Syst. 64 (2017)
Sibylle Hess, Katharina Morik
C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. ECML/PKDD (1) (2017)
Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik
Dynamic route planning with real-time traffic predictions. Inf. Syst. 64 (2017)
Sibylle Hess, Katharina Morik, Nico Piatkowski
The PRIMPING routine - Tiling through proximal alternating linearized minimization. Data Min. Knowl. Discov. 31 (4) (2017)
Frederik Elwert, Samira Tabti, Volkhard Krech, Katharina Morik, Lukas Pfahler
relNet - Modellierung von Themen und Strukturen religiöser Online-Kommunikation. DHd (2017)
Sebastian Buschjäger, Katharina Morik, Maik Schmidt
Summary Extraction on Data Streams in Embedded Systems. IOTSTREAMING@PKDD/ECML (2017)
Gennady L. Andrienko, Dimitrios Gunopulos, Yannis E. Ioannidis, Vana Kalogeraki, Ioannis Katakis, Katharina Morik, Olivier Verscheure
Mining Urban Data (Part B). Inf. Syst. 57 (2016)
Hendrik Blom, Katharina Morik
Resource-Aware Steel Production Through Data Mining. ECML/PKDD (3) (2016)
Nikolaos Panagiotou, Nikolas Zygouras, Ioannis Katakis, Dimitrios Gunopulos, Nikos Zacheilas, Ioannis Boutsis, Vana Kalogeraki, Stephen Lynch, Brendan O'Brien, Dermot Kinane, Jakub Marecek, Jia Yuan Yu, Rudi Verago, Elizabeth Daly, Nico Piatkowski, Thomas Liebig, Christian Bockermann, Katharina Morik, François Schnitzler, Matthias Weidlich, Avigdor Gal, Shie Mannor, Hendrik Stange, Werner Halft, Gennady L. Andrienko
INSIGHT: Dynamic Traffic Management Using Heterogeneous Urban Data. ECML/PKDD (3) (2016)
Nico Piatkowski, Katharina Morik
Stochastic Discrete Clenshaw-Curtis Quadrature. ICML (2016)
Nico Piatkowski, Sangkyun Lee, Katharina Morik
Integer undirected graphical models for resource-constrained systems. Neurocomputing 173 (2016)
Elena Erdmann, Karin Boczek, Lars Koppers, Gerret von Nordheim, Christian Pölitz, Alejandro Molina, Katharina Morik, Henrik Müller, Jörg Rahnenführer, Kristian Kersting
Machine Learning meets Data-Driven Journalism: Boosting International Understanding and Transparency in News Coverage. CoRR (2016)
Christian Pölitz, Wouter Duivesteijn, Katharina Morik
Interpretable domain adaptation via optimization over the Stiefel manifold. Mach. Learn. 104 (2-3) (2016)
Mario Wiegand, Marco Stolpe, Jochen Deuse, Katharina Morik
Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten. Autom. 64 (7) (2016)
Christian Pölitz, Thomas Bartz, Katharina Morik, Angelika Störrer
Investigation of Word Senses over Time Using Linguistic Corpora. TSD (2015)
Katharina Morik, Hugh F. Durrant-Whyte, Gary C. Hill, Dietmar Müller, Tanya Y. Berger-Wolf
Data Driven Science: SIGKDD Panel. KDD (2015)
Thomas Liebig, Marco Stolpe, Katharina Morik
Distributed Traffic Flow Prediction with Label Proportions: From in-Network towards High Performance Computation with MPI. MUD@ICML (2015)
Mathis Börner, Wolfgang Rhode, Tim Ruhe, Katharina Morik
Discovering Neutrinos Through Data Analytics. ECML/PKDD (3) (2015)
Christian Bockermann, Kai Brügge, Jens Buß, Alexey Egorov, Katharina Morik, Wolfgang Rhode, Tim Ruhe
Online Analysis of High-Volume Data Streams in Astroparticle Physics. ECML/PKDD (3) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Katharina Morik