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Fabian Mörchen
Person information
- affiliation: Amazon, Seattle, WA, USA
- affiliation (former): Siemens Corporate Research, Princeton, NJ, USA
- affiliation (former): University of Marburg, Germany
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2020 – today
- 2022
- [c27]Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen:
Fair Effect Attribution in Parallel Online Experiments. WWW (Companion Volume) 2022: 77-83 - [i3]Alexander Buchholz, Vito Bellini, Giuseppe Di Benedetto, Yannik Stein, Matteo Ruffini, Fabian Moerchen:
Fair Effect Attribution in Parallel Online Experiments. CoRR abs/2210.08338 (2022) - 2020
- [c26]Fabian Moerchen, Patrick Ernst, Giovanni Zappella:
Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback. CIKM 2020: 2661-2668
2010 – 2019
- 2019
- [i2]Nikolaj Tatti, Fabian Moerchen:
Finding Robust Itemsets Under Subsampling. CoRR abs/1902.06743 (2019) - 2016
- [j16]Iyad Batal, Gregory F. Cooper, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht:
An efficient pattern mining approach for event detection in multivariate temporal data. Knowl. Inf. Syst. 46(1): 115-150 (2016) - 2015
- [j15]Dmitriy Fradkin, Fabian Mörchen:
Mining sequential patterns for classification. Knowl. Inf. Syst. 45(3): 731-749 (2015) - 2014
- [j14]Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. Stat. Anal. Data Min. 7(1): 34-52 (2014) - [j13]Nikolaj Tatti
, Fabian Moerchen, Toon Calders:
Finding Robust Itemsets under Subsampling. ACM Trans. Database Syst. 39(3): 20:1-20:27 (2014) - [c25]Ruben Sipos, Dmitriy Fradkin, Fabian Mörchen, Zhuang Wang:
Log-based predictive maintenance. KDD 2014: 1867-1876 - 2013
- [j12]Bibudh Lahiri, Ioannis Akrotirianakis, Fabian Moerchen:
Finding Critical Thresholds for Defining Bursts in Event Logs. Trans. Large Scale Data Knowl. Centered Syst. 8: 89-112 (2013) - [c24]Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin:
Zips: mining compressing sequential patterns in streams. IDEA@KDD 2013: 54-62 - 2012
- [c23]Iyad Batal, Dmitriy Fradkin, James H. Harrison Jr., Fabian Moerchen, Milos Hauskrecht:
Mining recent temporal patterns for event detection in multivariate time series data. KDD 2012: 280-288 - [c22]Qiaojun Wang, Kai Zhang, Ivan Marsic, John K.-J. Li, Fabian Moerchen:
Patient-friendly detection of early peripheral arterial diseases (PAD) by budgeted sensor selection. PervasiveHealth 2012: 89-96 - [c21]Hoang Thanh Lam, Fabian Moerchen, Dmitriy Fradkin, Toon Calders:
Mining Compressing Sequential Patterns. SDM 2012: 319-330 - [c20]Kai Zhang, Liang Lan, Zhuang Wang, Fabian Moerchen:
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach. AISTATS 2012: 1425-1434 - [i1]Kai Zhang, Liang Lan, Jun Liu, Andreas Rauber, Fabian Moerchen:
Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method. CoRR abs/1206.4619 (2012) - 2011
- [j11]Hassan H. Malik, Dmitriy Fradkin, Fabian Mörchen:
Single pass text classification by direct feature weighting. Knowl. Inf. Syst. 28(1): 79-98 (2011) - [j10]Fabian Moerchen, Michael Thies, Alfred Ultsch:
Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression. Knowl. Inf. Syst. 29(1): 55-80 (2011) - [c19]Bibudh Lahiri, Ioannis Akrotirianakis, Fabian Moerchen:
Finding Critical Thresholds for Defining Bursts. DaWaK 2011: 484-495 - [c18]Nikolaj Tatti
Finding Robust Itemsets under Subsampling. ICDM 2011: 705-714 - 2010
- [j9]Hassan H. Malik, John R. Kender, Dmitriy Fradkin, Fabian Mörchen:
Hierarchical document clustering using local patterns. Data Min. Knowl. Discov. 21(1): 153-185 (2010) - [c17]Fabian Mörchen, Dmitriy Fradkin:
Robust Mining of Time Intervals with Semi-interval Partial Order Patterns. SDM 2010: 315-326
2000 – 2009
- 2009
- [j8]Yi Yu, Kazuki Joe, Vincent Oria, Fabian Mörchen, J. Stephen Downie, Lei Chen:
Multi-Version Music Search Using Acoustic Feature Union and Exact Soft Mapping. Int. J. Semantic Comput. 3(2): 209-234 (2009) - [c16]Fabian Mörchen:
Tutorial CIDM-T Temporal pattern mining in symbolic time point and time interval data. CIDM 2009 - 2008
- [j7]Steffen Renner, Swetlana Derksen, Sebastian Radestock, Fabian Mörchen:
Maximum Common Binding Modes (MCBM): Consensus Docking Scoring Using Multiple Ligand Information and Interaction Fingerprints. J. Chem. Inf. Model. 48(2): 319-332 (2008) - [c15]Fabian Mörchen, Dmitriy Fradkin, Mathäus Dejori, Bernd Wachmann:
Emerging Trend Prediction in Biomedical Literature. AMIA 2008 - [c14]Fabian Mörchen:
Organic Pie Charts. ICDM 2008: 947-952 - [c13]Yi Yu, J. Stephen Downie, Fabian Mörchen, Lei Chen, Kazuki Joe:
Using Exact Locality Sensitive Mapping to Group and Detect Audio-Based Cover Songs. ISM 2008: 302-309 - [c12]Fabian Mörchen, Mathäus Dejori, Dmitriy Fradkin, Julien Etienne, Bernd Wachmann, Markus Bundschus:
Anticipating annotations and emerging trends in biomedical literature. KDD 2008: 954-962 - [c11]Yi Yu, J. Stephen Downie, Fabian Mörchen, Lei Chen
COSIN: content-based retrieval system for cover songs. ACM Multimedia 2008: 987-988 - 2007
- [j6]Claus Weihs, Uwe Ligges
Classification in music research. Adv. Data Anal. Classif. 1(3): 255-291 (2007) - [j5]Fabian Mörchen, Alfred Ultsch:
Efficient mining of understandable patterns from multivariate interval time series. Data Min. Knowl. Discov. 15(2): 181-215 (2007) - [j4]Fabian Mörchen:
Unsupervised pattern mining from symbolic temporal data. SIGKDD Explor. 9(1): 41-55 (2007) - 2006
- [b1]Fabian Mörchen:
Time series knowlegde mining. University of Marburg, 2006, ISBN 3-89703-670-3, pp. 1-174 - [j3]Fabian Mörchen, Alfred Ultsch, Michael Thies, Ingo Lohken:
Modeling timbre distance with temporal statistics from polyphonic music. IEEE Trans. Speech Audio Process. 14(1): 81-90 (2006) - [c10]Mario Nöcker, Fabian Mörchen, Alfred Ultsch:
An algorithm for fast and reliable ESOM learning. ESANN 2006: 131-136 - [c9]Fabian Mörchen:
Algorithms for time series knowledge mining. KDD 2006: 668-673 - [c8]Fabian Mörchen, Ingo Mierswa, Alfred Ultsch:
Understandable models Of music collections based on exhaustive feature generation with temporal statistics. KDD 2006: 882-891 - 2005
- [j2]Fabian Mörchen, Alfred Ultsch, Olaf Hoos:
Extracting interpretable muscle activation patterns with time series knowledge mining. Int. J. Knowl. Based Intell. Eng. Syst. 9(3): 197-208 (2005) - [c7]Fabian Mörchen, Alfred Ultsch:
Finding Persisting States for Knowledge Discovery in Time Series. GfKl 2005: 278-285 - [c6]Fabian Mörchen, Alfred Ultsch, Mario Nöcker, Christian Stamm:
Visual Mining in Music Collections. GfKl 2005: 724-731 - [c5]Fabian Mörchen, Alfred Ultsch, Mario Nöcker, Christian Stamm:
Databionic Visualization of Music Collections According to Perceptual Distance. ISMIR 2005: 396-403 - [c4]Fabian Mörchen, Alfred Ultsch:
Optimizing time series discretization for knowledge discovery. KDD 2005: 660-665 - 2004
- [j1]Fabian Mörchen:
Analysis of speedup as function of block size and cluster size for parallel feed-forward neural networks on a Beowulf cluster. IEEE Trans. Neural Networks 15(2): 515-527 (2004) - [c3]Fabian Mörchen, Alfred Ultsch:
Discovering Temporal Knowledge in Multivariate Time Series. GfKl 2004: 272-279 - [c2]Fabian Mörchen, Alfred Ultsch:
Mining Hierarchical Temporal Patterns in Multivariate Time Series. KI 2004: 127-140 - [c1]Fabian Mörchen, Alfred Ultsch, Olaf Hoos:
Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method. PKDD 2004: 512-514
Coauthor Index
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