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STEPHAN DREISEITL
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Name
Affiliation
Papers
STEPHAN DREISEITL
Upper Austria Univ Appl Sci, Dept Software Engn, A-4232 Hagenberg, Austria
38
Collaborators
Citations
PageRank
53
338
34.80
Referers
Referees
References
1089
334
172
Search Limit
100
1000
Publications (38 rows)
Collaborators (53 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Evaluating Novel Features for Aggressive Language Detection.
0
0.34
2018
Evaluating Parallel Minibatch Training For Machine Learning Applications
0
0.34
2017
Using concept hierarchies to improve calculation of patient similarity.
2
0.42
2016
A Symbolic Regression Based Scoring System Improving Peptide Identifications for MS Amanda
0
0.34
2015
Feature Selection for Unsupervised Learning via Comparison of Distance Matrices
0
0.34
2013
Testing the calibration of classification models from first principles.
0
0.34
2012
Differences in examination characteristics of pigmented skin lesions: results of an eye tracking study.
1
0.37
2012
Effects of data grouping on calibration measures of classifiers
1
0.48
2011
An evaluation of heuristics for rule ranking.
1
0.35
2010
Demoting redundant features to improve the discriminatory ability in cancer data.
5
0.52
2009
Feature Selection Based on Pairwise Classification Performance
3
0.47
2009
A new rule-based algorithm for identifying metabolic markers in prostate cancer using tandem mass spectrometry.
11
0.69
2008
On the Combination of Logistic Regression and Local Probability Estimates
1
0.36
2008
Improving calibration of logistic regression models by local estimates.
1
0.46
2008
Applying a decision support system in clinical practice: results from melanoma diagnosis.
1
0.35
2007
Training multiclass classifiers by maximizing the volume under the ROC surface
1
0.35
2007
Approximation properties of haplotype tagging.
21
0.37
2006
Do physicians value decision support? A look at the effect of decision support systems on physician opinion.
22
1.47
2005
Nomographic representation of logistic regression models: a case study using patient self-assessment data.
4
0.66
2005
Effects of data anonymization by cell suppression on descriptive statistics and predictive modeling performance.
4
1.36
2002
Disambiguation data: extracting information from anonymized sources.
5
1.42
2002
Comparing imperfect measurements with the Bland-Altman technique: application in gene expression analysis.
0
0.34
2002
Logistic regression and artificial neural network classification models: a methodology review.
191
11.64
2002
Conflict Management In Multiagent Robotic System: Fsm And Fuzzy Logic Approach
0
0.34
2001
A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions.
46
4.39
2001
Conflict Management in an Intelligent Multiagent Robotics System Based on FSM Approach
1
0.38
2001
Hiding information by cell suppression.
3
0.73
2001
Building knowledge in a complex preterm birth problem domain.
1
0.38
2000
Conflict management in an intelligent multiagent robotic system
0
0.34
2000
Risk stratification in heart failure using artificial neural networks.
7
0.74
2000
Classifying Pigmented Skin Lesions With Machine Learning Methods
0
0.34
2000
Self-Organizing Maps for Visualization of Medical Data Sets.
0
0.34
1999
Evaluating variable selection methods for diagnosis of myocardial infarction.
4
1.22
1999
Clinical Data Processing Tools: A Machine Learning Resource.
0
0.34
1999
Lifelong Learning Approach to Intelligent Agents Modeling
0
0.34
1997
Robotic agent control combining reactive and learning capabilities
0
0.34
1996
Hybrid Evolutionary Programming: the Tools for CAST
1
0.48
1995
Automatic Generation of C++ Code for Neural Network Simulation
0
0.34
1993
1