a person in the record
Sebastian Mika
Dr.-Ing. Technische Universität Berlin 2002
Wikidata names Bernhard Schölkopf, Klaus-Robert Müller, and Stefan Jähnichen as doctoral advisors. Linked to Wikidata, OpenAlex, and 2 other registers.
How to read the markscited by a repository's recordstated by Wikidata or indexed by OpenAlexclaimed on an ORCID list, or inferred
Advisors on Wikidata3
From Wikidata, shown separately from the thesis records.
- stated by Wikidata
- stated by Wikidata
- stated by Wikidata
The line above and below4 steps
The advisors of their advisors, four steps up at most, in the thesis records and on Wikidata, each kind marked; a person in both is listed once.
- 1 step up
stated by WikidataBernhard Schölkopfstated by WikidataKlaus-Robert Müllerstated by WikidataStefan Jähnichen
- 2 steps up
stated by WikidataVladimir Vapnikstated by WikidataWolfram Menzel
- 3 steps up
stated by WikidataAlexander Lernerstated by WikidataErnst-August Behrensstated by WikidataReinhold Baer
- 4 steps up
stated by WikidataErich Heckestated by WikidataHellmuth Kneserstated by WikidataRichard Courant
Education and career1
From Wikidata, shown separately from the thesis records. Each place opens its Wikidata item.
- undated
Papers in OpenAlex30
1998most in 2007: 62018
writes on Machine Learning and Algorithms, Machine Learning and Data Classification, Computational Drug Discovery Methods, Stochastic Gradient Optimization Techniques, Machine Learning in Materials Science
This person holds multiple possibly linked authorship records (high confidence)
- indexed by OpenAlex1998 · 6 authorscited 876
- indexed by OpenAlex2004 · 4 authorscited 539
- indexed by OpenAlexcited 372
Benchmark Data Set for in Silico Prediction of Ames Mutagenicity
2009 · Journal of Chemical Information and Modeling · 8 authors - indexed by OpenAlexcited 175
Invariant Feature Extraction and Classification in Kernel Spaces
1999 · 6 authors - indexed by OpenAlexcited 160
- indexed by OpenAlex2003 · 1 authorcited 121
- indexed by OpenAlexcited 103
Kernel PCA Pattern Reconstruction via Approximate Pre-Images
1998 · Perspectives in neural computing · 5 authors - indexed by OpenAlex2001 · Electrical engineering and applied signal processing series/The electrical engineering and applied signal processing series · 5 authorscited 98
- indexed by OpenAlexcited 85
Classifying ‘Drug-likeness' with Kernel-Based Learning Methods
2005 · Journal of Chemical Information and Modeling · 6 authors - indexed by OpenAlexcited 80
Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach
2007 · Journal of Chemical Information and Modeling · 9 authors
the 25 most cited of 30
- indexed by OpenAlex2007 · Journal of Computer-Aided Molecular Design · 8 authorscited 70
- indexed by OpenAlex1999 · Lecture notes in computer science · 4 authorscited 55
- indexed by OpenAlex2018 · CRC Press eBooks · 4 authorscited 50
- indexed by OpenAlex2000 · The MIT Press eBooks · 6 authorscited 44
- indexed by OpenAlex2007 · Journal of Computer-Aided Molecular Design · 8 authorscited 40
- indexed by OpenAlex2008 · Journal of Chemical Information and Modeling · 9 authorscited 39
- indexed by OpenAlex2002 · 3 authorscited 35
- indexed by OpenAlex2011 · Springer eBooks · 7 authorscited 32
- indexed by OpenAlex2000 · Conference on Learning Theory · 6 authorscited 32
- indexed by OpenAlexcited 31
Machine Learning Models for Lipophilicity and Their Domain of Applicability
2007 · Molecular Pharmaceutics · 8 authors - indexed by OpenAlexcited 30
How Wrong Can We Get? A Review of Machine Learning Approaches and Error Bars
2009 · Combinatorial Chemistry & High Throughput Screening · 4 authors - indexed by OpenAlex2002 · The MIT Press eBooks · 3 authorscited 30
- indexed by OpenAlexcited 28
Predicting Lipophilicity of Drug‐Discovery Molecules using Gaussian Process Models
2007 · ChemMedChem · 8 authors - indexed by OpenAlexcited 27
Bias-Correction of Regression Models: A Case Study on hERG Inhibition
2009 · Journal of Chemical Information and Modeling · 7 authors - indexed by OpenAlexcited 26
Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers
2001 · Lecture notes in computer science · 4 authors