Fabian Mörchen

Affiliations:
  • Amazon, Seattle, WA, USA
  • Siemens Corporate Research, Princeton, NJ, USA (former)
  • University of Marburg, Germany (former)


According to our database1, Fabian Mörchen authored at least 44 papers between 2004 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Fair Effect Attribution in Parallel Online Experiments.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2020
Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2016
An efficient pattern mining approach for event detection in multivariate temporal data.
Knowl. Inf. Syst., 2016

2015
Mining sequential patterns for classification.
Knowl. Inf. Syst., 2015

2014
Finding Robust Itemsets under Subsampling.
ACM Trans. Database Syst., 2014

Mining Compressing Sequential Patterns.
Stat. Anal. Data Min., 2014

Log-based predictive maintenance.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Finding Critical Thresholds for Defining Bursts in Event Logs.
Trans. Large Scale Data Knowl. Centered Syst., 2013

Zips: mining compressing sequential patterns in streams.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

2012
Scaling up Kernel SVM on Limited Resources: A Low-rank Linearization Approach.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Inductive Kernel Low-rank Decomposition with Priors: A Generalized Nystrom Method
CoRR, 2012

Patient-friendly detection of early peripheral arterial diseases (PAD) by budgeted sensor selection.
Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare, 2012

Mining recent temporal patterns for event detection in multivariate time series data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011
Efficient mining of all margin-closed itemsets with applications in temporal knowledge discovery and classification by compression.
Knowl. Inf. Syst., 2011

Single pass text classification by direct feature weighting.
Knowl. Inf. Syst., 2011

Finding Robust Itemsets under Subsampling.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Finding Critical Thresholds for Defining Bursts.
Proceedings of the Data Warehousing and Knowledge Discovery, 2011

2010
Hierarchical document clustering using local patterns.
Data Min. Knowl. Discov., 2010

Robust Mining of Time Intervals with Semi-interval Partial Order Patterns.
Proceedings of the SIAM International Conference on Data Mining, 2010

2009
Multi-Version Music Search Using Acoustic Feature Union and Exact Soft Mapping.
Int. J. Semantic Comput., 2009

Tutorial CIDM-T Temporal pattern mining in symbolic time point and time interval data.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009

2008
Maximum Common Binding Modes (MCBM): Consensus Docking Scoring Using Multiple Ligand Information and Interaction Fingerprints.
J. Chem. Inf. Model., 2008

COSIN: content-based retrieval system for cover songs.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Anticipating annotations and emerging trends in biomedical literature.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Using Exact Locality Sensitive Mapping to Group and Detect Audio-Based Cover Songs.
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008

Organic Pie Charts.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Emerging Trend Prediction in Biomedical Literature.
Proceedings of the AMIA 2008, 2008

2007
Unsupervised pattern mining from symbolic temporal data.
SIGKDD Explor., 2007

Efficient mining of understandable patterns from multivariate interval time series.
Data Min. Knowl. Discov., 2007

Classification in music research.
Adv. Data Anal. Classif., 2007

2006
Time series knowlegde mining.
PhD thesis, 2006

Modeling timbre distance with temporal statistics from polyphonic music.
IEEE Trans. Speech Audio Process., 2006

Understandable models Of music collections based on exhaustive feature generation with temporal statistics.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Algorithms for time series knowledge mining.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

An algorithm for fast and reliable ESOM learning.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005
Extracting interpretable muscle activation patterns with time series knowledge mining.
Int. J. Knowl. Based Intell. Eng. Syst., 2005

Optimizing time series discretization for knowledge discovery.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Databionic Visualization of Music Collections According to Perceptual Distance.
Proceedings of the ISMIR 2005, 2005

Visual Mining in Music Collections.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

Finding Persisting States for Knowledge Discovery in Time Series.
Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004
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, 2004

Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method.
Proceedings of the Knowledge Discovery in Databases: PKDD 2004, 2004

Mining Hierarchical Temporal Patterns in Multivariate Time Series.
Proceedings of the KI 2004: Advances in Artificial Intelligence, 2004

Discovering Temporal Knowledge in Multivariate Time Series.
Proceedings of the Classification, 2004


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