Discovering Temporal Knowledge in Multivariate Time Series. - Fabian Mörchen; Alfred Ultsch (GfKl, 2004)

Mining Hierarchical Temporal Patterns in Multivariate Time Series. - Fabian Mörchen; Alfred Ultsch (KI, 2004)

Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method. - Fabian Mörchen; Alfred Ultsch; Olaf Hoos (PKDD, 2004)

Analysis of speedup as function of block size and cluster size for parallel feed-forward neural networks on a Beowulf cluster. - Fabian Mörchen (IEEE Trans. Neural Networks, 2004)

Finding Persisting States for Knowledge Discovery in Time Series. - Fabian Mörchen; Alfred Ultsch (GfKl, 2005)

Visual Mining in Music Collections. - Fabian Mörchen; Alfred Ultsch; Mario Nöcker; Christian Stamm (GfKl, 2005)

Databionic Visualization of Music Collections According to Perceptual Distance. - Fabian Mörchen; Alfred Ultsch; Mario Nöcker; Christian Stamm (ISMIR, 2005)

Optimizing time series discretization for knowledge discovery. - Fabian Mörchen; Alfred Ultsch (KDD, 2005)

Extracting interpretable muscle activation patterns with time series knowledge mining. - Fabian Mörchen; Alfred Ultsch; Olaf Hoos (Int. J. Knowl. Based Intell. Eng. Syst., 2005)

An algorithm for fast and reliable ESOM learning. - Mario Nöcker; Fabian Mörchen; Alfred Ultsch (ESANN, 2006)

Algorithms for time series knowledge mining. - Fabian Mörchen (KDD, 2006)

Understandable models Of music collections based on exhaustive feature generation with temporal statistics. - Fabian Mörchen; Ingo Mierswa; Alfred Ultsch (KDD, 2006)

Modeling timbre distance with temporal statistics from polyphonic music. - Fabian Mörchen; Alfred Ultsch; Michael Thies; Ingo Lohken (IEEE Trans. Speech Audio Process., 2006)

Time series knowlegde mining. - Fabian Mörchen (2006)

Classification in music research. - Claus Weihs; Uwe Ligges; Fabian Mörchen; Daniel Müllensiefen (Adv. Data Anal. Classif., 2007)

Efficient mining of understandable patterns from multivariate interval time series. - Fabian Mörchen; Alfred Ultsch (Data Min. Knowl. Discov., 2007)

Unsupervised pattern mining from symbolic temporal data. - Fabian Mörchen (SIGKDD Explor., 2007)

Emerging Trend Prediction in Biomedical Literature. - Fabian Mörchen; Dmitriy Fradkin; Mathäus Dejori; Bernd Wachmann (AMIA, 2008)

Organic Pie Charts. - Fabian Mörchen (ICDM, 2008)

Using Exact Locality Sensitive Mapping to Group and Detect Audio-Based Cover Songs. - Yi Yu 001; J. Stephen Downie; Fabian Mörchen; Lei Chen 002; Kazuki Joe (ISM, 2008)

Anticipating annotations and emerging trends in biomedical literature. - Fabian Mörchen; Mathäus Dejori; Dmitriy Fradkin; Julien Etienne; Bernd Wachmann; Markus Bundschus (KDD, 2008)

COSIN: content-based retrieval system for cover songs. - Yi Yu 001; J. Stephen Downie; Fabian Mörchen; Lei Chen 002; Kazuki Joe; Vincent Oria (ACM Multimedia, 2008)

Maximum Common Binding Modes (MCBM): Consensus Docking Scoring Using Multiple Ligand Information and Interaction Fingerprints. - Steffen Renner; Swetlana Derksen; Sebastian Radestock; Fabian Mörchen (J. Chem. Inf. Model., 2008)

Tutorial CIDM-T Temporal pattern mining in symbolic time point and time interval data. - Fabian Mörchen (CIDM, 2009)

Multi-Version Music Search Using Acoustic Feature Union and Exact Soft Mapping. - Yi Yu 001; Kazuki Joe; Vincent Oria; Fabian Mörchen; J. Stephen Downie; Lei Chen 002 (Int. J. Semantic Comput., 2009)

Robust Mining of Time Intervals with Semi-interval Partial Order Patterns. - Fabian Mörchen; Dmitriy Fradkin (SDM, 2010)

Hierarchical document clustering using local patterns. - Hassan H. Malik; John R. Kender; Dmitriy Fradkin; Fabian Mörchen (Data Min. Knowl. Discov., 2010)

Finding Critical Thresholds for Defining Bursts. - Bibudh Lahiri; Ioannis Akrotirianakis; Fabian Moerchen (DaWaK, 2011)

Finding Robust Itemsets under Subsampling. - Nikolaj Tatti; Fabian Moerchen (ICDM, 2011)

Single pass text classification by direct feature weighting. - Hassan H. Malik; Dmitriy Fradkin; Fabian Mörchen (Knowl. Inf. Syst., 2011)

Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression. - Fabian Moerchen; Michael Thies; Alfred Ultsch (Knowl. Inf. Syst., 2011)

Mining recent temporal patterns for event detection in multivariate time series data. - Iyad Batal; Dmitriy Fradkin; James H. Harrison Jr.; Fabian Moerchen; Milos Hauskrecht (KDD, 2012)

Patient-friendly detection of early peripheral arterial diseases (PAD) by budgeted sensor selection. - Qiaojun Wang; Kai Zhang 001; Ivan Marsic; John K.-J. Li; Fabian Moerchen (PervasiveHealth, 2012)

Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method - Kai Zhang 001; Liang Lan; Jun Liu 003; Andreas Rauber; Fabian Moerchen (CoRR, 2012)

Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach. - Kai Zhang 001; Liang Lan; Zhuang Wang; Fabian Moerchen (AISTATS, 2012)

Zips: mining compressing sequential patterns in streams. - Hoang Thanh Lam; Toon Calders; Jie Yang 028; Fabian Mörchen; Dmitriy Fradkin (IDEA@KDD, 2013)

Finding Critical Thresholds for Defining Bursts in Event Logs. - Bibudh Lahiri; Ioannis Akrotirianakis; Fabian Moerchen (Trans. Large Scale Data Knowl. Centered Syst., 2013)

Log-based predictive maintenance. - Ruben Sipos; Dmitriy Fradkin; Fabian Mörchen; Zhuang Wang (KDD, 2014)

Mining Compressing Sequential Patterns. - Hoang Thanh Lam; Fabian Mörchen; Dmitriy Fradkin; Toon Calders (Stat. Anal. Data Min., 2014)

Finding Robust Itemsets under Subsampling. - Nikolaj Tatti; Fabian Moerchen; Toon Calders (ACM Trans. Database Syst., 2014)

Mining sequential patterns for classification. - Dmitriy Fradkin; Fabian Mörchen (Knowl. Inf. Syst., 2015)

An efficient pattern mining approach for event detection in multivariate temporal data. - Iyad Batal; Gregory F. Cooper; Dmitriy Fradkin; James H. Harrison Jr.; Fabian Moerchen; Milos Hauskrecht (Knowl. Inf. Syst., 2016)

Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback. - Fabian Moerchen; Patrick Ernst; Giovanni Zappella (CIKM, 2020)

Fair Effect Attribution in Parallel Online Experiments. - Alexander Buchholz; Vito Bellini; Giuseppe Di Benedetto; Yannik Stein; Matteo Ruffini; Fabian Moerchen (WWW (Companion Volume), 2022)