( en | de | ru )

 

Disambiguation of "Kühn, Jens-Peter"

Author of the publication

copydeleteadd this publication to your clipboard
Identifying Relevant Features for a Multi-factorial Disorder with Constraint-Based Subspace Clustering.

, , , and . CBMS, page 207-212. IEEE Computer Society, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Jens-Peter Kühn

Peter Kühn

Peter Kühn

Jens Walter Kühn

Peter Kühn

 

Other publications of authors with the same name

Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis, , , and . Expert Systems with Applications, 41 (11): 5405-5415 (September 2014)ESWA IMPACT FACTOR: 1.965 (2013).Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets., , , and . ECML/PKDD (3), volume 8726 of Lecture Notes in Computer Science, page 460-463. Springer, (2014)Identifying Relevant Features for a Multi-factorial Disorder with Constraint-Based Subspace Clustering., , , and . CBMS, page 207-212. IEEE Computer Society, (2016)Learning and inspecting classification rules from longitudinal epidemiological data to identify predictive features on hepatic steatosis., , , and . Expert Syst. Appl., 41 (11): 5405-5415 (2014)Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets, , , and . European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), volume 8726 of Lecture Notes in Computer Science, page 460-463. Springer Berlin Heidelberg, (2014)Subpopulation Discovery in Epidemiological Data with Subspace Clustering, , , and . Foundations of Computing and Decision Sciences (FCDS), 39 (4): 271-300 (2014)Mining longitudinal epidemiological data to understand a reversible disorder, , , and . Proc. of the 13th Int. Symposium on Intelligent Data Analysis (IDA'14), Leuven, Belgium, Springer, (2014)accepted 08/2014, to appear.Building a Bayesian Network to Understand the Interplay of Variables in an Epidemiological Population-Based Study, , , , , , and . Proc. of the 31th IEEE Int. Symposium on Computer-Based Medical Systems (CBMS18), page 88-93. (2018)A fast and accurate automatic lung segmentation and volumetry method for MR data used in epidemiological studies., , , , , , , , and . Comput. Medical Imaging Graph., 36 (4): 281-293 (2012)Mining Longitudinal Epidemiological Data to Understand a Reversible Disorder., , , and . IDA, volume 8819 of Lecture Notes in Computer Science, page 120-130. Springer, (2014)