Bernd Bischl


Ontology type: schema:Person     


Person Info

NAME

Bernd

SURNAME

Bischl

Publications in SciGraph latest 50 shown

  • 2019 Visualizing the Feature Importance for Black Box Models in ENERGY TRANSFER PROCESSES IN POLYNUCLEAR LANTHANIDE COMPLEXES
  • 2018-12-12 Predicting instructed simulation and dissimulation when screening for depressive symptoms in EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
  • 2018-12 A comparative study on large scale kernelized support vector machines in ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
  • 2018-09 Proceedings of Reisensburg 2014–2015 in COMPUTATIONAL STATISTICS
  • 2018-07-16 Time series anomaly detection based on shapelet learning in COMPUTATIONAL STATISTICS
  • 2018-05 Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates in STATISTICS AND COMPUTING
  • 2017-06-19 OpenML: An R package to connect to the machine learning platform OpenML in COMPUTATIONAL STATISTICS
  • 2017 RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization in LEARNING AND INTELLIGENT OPTIMIZATION
  • 2017 First Investigations on Noisy Model-Based Multi-objective Optimization in EVOLUTIONARY MULTI-CRITERION OPTIMIZATION
  • 2016 Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies in LEARNING AND INTELLIGENT OPTIMIZATION
  • 2016 On Class Imbalance Correction for Classification Algorithms in Credit Scoring in OPERATIONS RESEARCH PROCEEDINGS 2014
  • 2016 Fast Model Based Optimization of Tone Onset Detection by Instance Sampling in ANALYSIS OF LARGE AND COMPLEX DATA
  • 2016 Big Data Big data Classification Classification : Aspects on Many Features Many features and Many Observations in ANALYSIS OF LARGE AND COMPLEX DATA
  • 2015 Model-Based Multi-objective Optimization: Taxonomy, Multi-Point Proposal, Toolbox and Benchmark in EVOLUTIONARY MULTI-CRITERION OPTIMIZATION
  • 2014 MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization in LEARNING AND INTELLIGENT OPTIMIZATION
  • 2014 Benchmarking Classification Algorithms on High-Performance Computing Clusters in DATA ANALYSIS, MACHINE LEARNING AND KNOWLEDGE DISCOVERY
  • 2014 Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition in DATA ANALYSIS, MACHINE LEARNING AND KNOWLEDGE DISCOVERY
  • 2014 Support Vector Machines on Large Data Sets: Simple Parallel Approaches in DATA ANALYSIS, MACHINE LEARNING AND KNOWLEDGE DISCOVERY
  • 2014 Cell Mapping Techniques for Exploratory Landscape Analysis in EVOLVE - A BRIDGE BETWEEN PROBABILITY, SET ORIENTED NUMERICS, AND EVOLUTIONARY COMPUTATION V
  • 2013-12 Benchmarking local classification methods in COMPUTATIONAL STATISTICS
  • 2013-10 A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem in ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE
  • 2013 OpenML: A Collaborative Science Platform in ADVANCED INFORMATION SYSTEMS ENGINEERING
  • 2013 PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection in LEARNING AND INTELLIGENT OPTIMIZATION
  • 2012-09 Tuning and evolution of support vector kernels in EVOLUTIONARY INTELLIGENCE
  • 2012 A Case Study on the Use of Statistical Classification Methods in Particle Physics in CHALLENGES AT THE INTERFACE OF DATA ANALYSIS, COMPUTER SCIENCE, AND OPTIMIZATION
  • 2012 Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness in LEARNING AND INTELLIGENT OPTIMIZATION
  • 2012 Bias-Variance Analysis of Local Classification Methods in CHALLENGES AT THE INTERFACE OF DATA ANALYSIS, COMPUTER SCIENCE, AND OPTIMIZATION
  • 2010-05-03 Perceptually Based Phoneme Recognition in Popular Music in CLASSIFICATION AS A TOOL FOR RESEARCH
  • 2010 Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation in PARALLEL PROBLEM SOLVING FROM NATURE, PPSN XI
  • 2007 On the Combination of Locally Optimal Pairwise Classifiers in MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION
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