Fabian Mörchen

32 papers A* 7A 1B 1C 2Misc 2Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2015 J jnl
Mining sequential patterns for classification.
Knowl. Inf. Syst.
Dmitriy Fradkin, Fabian Mörchen
2014 A* conf
Log-based predictive maintenance.
KDD
Ruben Sipos, Dmitriy Fradkin, Fabian Mörchen, Zhuang Wang
2014 J jnl
Mining Compressing Sequential Patterns.
Stat. Anal. Data Min.
Hoang Thanh Lam, Fabian Mörchen, Dmitriy Fradkin, Toon Calders
2013 — conf
Zips: mining compressing sequential patterns in streams.
IDEA@KDD
Hoang Thanh Lam, Toon Calders, Jie Yang, Fabian Mörchen, Dmitriy Fradkin
2011 J jnl
Single pass text classification by direct feature weighting.
Knowl. Inf. Syst.
Hassan H. Malik, Dmitriy Fradkin, Fabian Mörchen
2010 J jnl
Hierarchical document clustering using local patterns.
Data Min. Knowl. Discov.
Hassan H. Malik, John R. Kender, Dmitriy Fradkin, Fabian Mörchen
2010 A conf
Robust Mining of Time Intervals with Semi-interval Partial Order Patterns.
SDM
Fabian Mörchen, Dmitriy Fradkin
2009 J jnl
Multi-Version Music Search Using Acoustic Feature Union and Exact Soft Mapping.
Int. J. Semantic Comput.
Yi Yu, Kazuki Joe, Vincent Oria, Fabian Mörchen, J. Stephen Downie, Lei Chen
2009 C conf
Tutorial CIDM-T Temporal pattern mining in symbolic time point and time interval data.
CIDM
Fabian Mörchen
2008 A* conf
Anticipating annotations and emerging trends in biomedical literature.
KDD
Fabian Mörchen, Mathäus Dejori, Dmitriy Fradkin, Julien Etienne, Bernd Wachmann, Markus Bundschus
2008 A* conf
COSIN: content-based retrieval system for cover songs.
ACM Multimedia
Yi Yu, J. Stephen Downie, Fabian Mörchen, Lei Chen, Kazuki Joe, Vincent Oria
2008 Misc conf
Emerging Trend Prediction in Biomedical Literature.
AMIA
Fabian Mörchen, Dmitriy Fradkin, Mathäus Dejori, Bernd Wachmann
2008 J jnl
Maximum Common Binding Modes (MCBM): Consensus Docking Scoring Using Multiple Ligand Information and Interaction Fingerprints.
J. Chem. Inf. Model.
Steffen Renner, Swetlana Derksen, Sebastian Radestock, Fabian Mörchen
2008 A* conf
Organic Pie Charts.
ICDM
Fabian Mörchen
2008 C conf
Using Exact Locality Sensitive Mapping to Group and Detect Audio-Based Cover Songs.
ISM
Yi Yu, J. Stephen Downie, Fabian Mörchen, Lei Chen, Kazuki Joe
2007 J jnl
Classification in music research.
Adv. Data Anal. Classif.
Claus Weihs, Uwe Ligges, Fabian Mörchen, Daniel Müllensiefen
2007 J jnl
Efficient mining of understandable patterns from multivariate interval time series.
Data Min. Knowl. Discov.
Fabian Mörchen, Alfred Ultsch
2007 J jnl
Unsupervised pattern mining from symbolic temporal data.
SIGKDD Explor.
Fabian Mörchen
2006 A* conf
Algorithms for time series knowledge mining.
KDD
Fabian Mörchen
2006 B conf
An algorithm for fast and reliable ESOM learning.
ESANN
Mario Nöcker, Fabian Mörchen, Alfred Ultsch
2006 J jnl
Modeling timbre distance with temporal statistics from polyphonic music.
IEEE Trans. Speech Audio Process.
Fabian Mörchen, Alfred Ultsch, Michael Thies, Ingo Lohken
2006 — —
Time series knowlegde mining.
Fabian Mörchen
2006 A* conf
Understandable models Of music collections based on exhaustive feature generation with temporal statistics.
KDD
Fabian Mörchen, Ingo Mierswa, Alfred Ultsch
2005 — conf
Databionic Visualization of Music Collections According to Perceptual Distance.
ISMIR
Fabian Mörchen, Alfred Ultsch, Mario Nöcker, Christian Stamm
2005 J jnl
Extracting interpretable muscle activation patterns with time series knowledge mining.
Int. J. Knowl. Based Intell. Eng. Syst.
Fabian Mörchen, Alfred Ultsch, Olaf Hoos
2005 — conf
Finding Persisting States for Knowledge Discovery in Time Series.
GfKl
Fabian Mörchen, Alfred Ultsch
2005 A* conf
Optimizing time series discretization for knowledge discovery.
KDD
Fabian Mörchen, Alfred Ultsch
2005 — conf
Visual Mining in Music Collections.
GfKl
Fabian Mörchen, Alfred Ultsch, Mario Nöcker, Christian Stamm
2004 J jnl
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
Fabian Mörchen
2004 — conf
Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method.
PKDD
Fabian Mörchen, Alfred Ultsch, Olaf Hoos
2004 — conf
Discovering Temporal Knowledge in Multivariate Time Series.
GfKl
Fabian Mörchen, Alfred Ultsch
2004 Misc conf
Mining Hierarchical Temporal Patterns in Multivariate Time Series.
KI
Fabian Mörchen, Alfred Ultsch