Sebastian Mika

29 papers A* 2A 1B 1C 1Journal 13Unranked 9

Year	Rank	Type	Title / Venue / Authors
2013	—	`conf`	Kernels, Pre-images and Optimization. Empirical Inference John C. Snyder, Sebastian Mika, Kieron Burke, Klaus-Robert Müller
2009	J	`jnl`	Benchmark Data Set for in Silico Prediction of Ames Mutagenicity. J. Chem. Inf. Model. Katja Hansen, Sebastian Mika, Timon Schroeter, Andreas Sutter, Antonius ter Laak, Thomas Steger-Hartmann, Nikolaus Heinrich, Klaus-Robert Müller
2009	J	`jnl`	Bias-Correction of Regression Models: A Case Study on hERG Inhibition. J. Chem. Inf. Model. Katja Hansen, Fabian Rathke, Timon Schroeter, Georg Rast, Thomas Fox, Jan M. Kriegl, Sebastian Mika
2008	J	`jnl`	A Probabilistic Approach to Classifying Metabolic Stability. J. Chem. Inf. Model. Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Katja Hansen, Antonius ter Laak, Philip Lienau, Andreas Reichel, Nikolaus Heinrich, Klaus-Robert Müller
2007	J	`jnl`	Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach. J. Chem. Inf. Model. Anton Schwaighofer, Timon Schroeter, Sebastian Mika, Julian Laub, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller
2007	J	`jnl`	Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. J. Comput. Aided Mol. Des. Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller
2007	J	`jnl`	Estimating the domain of applicability for machine learning QSAR models: a study on aqueous solubility of drug discovery molecules. J. Comput. Aided Mol. Des. Timon Schroeter, Anton Schwaighofer, Sebastian Mika, Antonius ter Laak, Detlev Sülzle, Ursula Ganzer, Nikolaus Heinrich, Klaus-Robert Müller
2005	J	`jnl`	Classifying 'Drug-likeness' with Kernel-Based Learning Methods. J. Chem. Inf. Model. Klaus-Robert Müller, Gunnar Rätsch, Sören Sonnenburg, Sebastian Mika, Michael Grimm, Nikolaus Heinrich
2004	A*	`conf`	A kernel view of the dimensionality reduction of manifolds. ICML Jihun Ham, Daniel D. Lee, Sebastian Mika, Bernhard Schölkopf
2003	J	`jnl`	Constructing Descriptive and Discriminative Nonlinear Features: Rayleigh Coefficients in Kernel Feature Spaces. IEEE Trans. Pattern Anal. Mach. Intell. Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller
2002	—	`conf`	Adapting Codes and Embeddings for Polychotomies. NIPS Gunnar Rätsch, Alexander J. Smola, Sebastian Mika
2002	J	`jnl`	Constructing Boosting Algorithms from SVMs: An Application to One-Class Classification. IEEE Trans. Pattern Anal. Mach. Intell. Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Klaus-Robert Müller
2002	—	`ch.`	Kern Fisher Diskriminanten. Ausgezeichnete Informatikdissertationen Sebastian Mika
2002	—	`—`	Kern Fisher Diskriminaten. Sebastian Mika
2001	A	`conf`	An improved training algorithm for kernel Fisher discriminants. AISTATS Sebastian Mika, Alexander J. Smola, Bernhard Schölkopf
2001	J	`jnl`	An introduction to kernel-based learning algorithms. IEEE Trans. Neural Networks Klaus-Robert Müller, Sebastian Mika, Gunnar Rätsch, Koji Tsuda, Bernhard Schölkopf
2001	C	`conf`	Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. ICANN Koji Tsuda, Gunnar Rätsch, Sebastian Mika, Klaus-Robert Müller
2001	—	`conf`	On the Convergence of Leveraging. NIPS Gunnar Rätsch, Sebastian Mika, Manfred K. Warmuth
2001	J	`jnl`	Regularized Principal Manifolds. J. Mach. Learn. Res. Alexander J. Smola, Sebastian Mika, Bernhard Schölkopf, Robert C. Williamson
2000	—	`conf`	A Mathematical Programming Approach to the Kernel Fisher Algorithm. NIPS Sebastian Mika, Gunnar Rätsch, Klaus-Robert Müller
2000	A*	`conf`	Barrier Boosting. COLT Gunnar Rätsch, Manfred K. Warmuth, Sebastian Mika, Takashi Onoda, Steven Lemm, Klaus-Robert Müller
2000	J	`jnl`	Engineering support vector machine kernels that recognize translation initiation sites. Bioinform. Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Thomas Lengauer, Klaus-Robert Müller
2000	B	`conf`	Robust Ensemble Learning for Data Mining. PAKDD Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Sebastian Mika, Takashi Onoda, Klaus-Robert Müller
1999	—	`conf`	Engineering Support Vector Machine Kerneis That Recognize Translation Initialion Sites. German Conference on Bioinformatics Alexander Zien, Gunnar Rätsch, Sebastian Mika, Bernhard Schölkopf, Christian Lemmen, Alexander J. Smola, Thomas Lengauer, Klaus-Robert Müller
1999	J	`jnl`	Input space versus feature space in kernel-based methods. IEEE Trans. Neural Networks Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola
1999	—	`conf`	Invariant Feature Extraction and Classification in Kernel Spaces. NIPS Sebastian Mika, Gunnar Rätsch, Jason Weston, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller
1999	—	`conf`	Regularized Principal Manifolds. EuroCOLT Alexander J. Smola, Robert C. Williamson, Sebastian Mika, Bernhard Schölkopf
1999	—	`conf`	v-Arc: Ensemble Learning in the Presence of Outliers. NIPS Gunnar Rätsch, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, Takashi Onoda, Sebastian Mika
1998	—	`conf`	Kernel PCA and De-Noising in Feature Spaces. NIPS Sebastian Mika, Bernhard Schölkopf, Alexander J. Smola, Klaus-Robert Müller, Matthias Scholz, Gunnar Rätsch