An Intersection Cut from the Dual of the Unit Hypercube. - Egon Balas; V. Joseph Bowman; Fred W. Glover; David Sommer (Oper. Res., 1971)

Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps. - David Sommer; Martin Golz (ICANN, 2001)

A Comparison of Validation Methods for Learning Vector Quantization and for Support Vector Machines on Two Biomedical Data Sets. - David Sommer; Martin Golz (GfKl, 2005)

Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection. - David Sommer; Mo Chen 006; Martin Golz; Udo Trutschel; Danilo P. Mandic (ICANN (2), 2005)

The Performance of LVQ Based Automatic Relevance Determination Applied to Spontaneous Biosignals. - Martin Golz; David Sommer (KES (3), 2006)

Alertness Assessment Using Data Fusion and Discrimination Ability of LVQ-Networks. - Udo Trutschel; David Sommer; Acacia Aguirre; Todd Dawson; Bill Sirois (KES (3), 2006)

A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application. - Mo Chen 006; David Sommer; Su Lee Goh; Temujin Gautama; Dragan Obradovic; Martin Golz; Mary J. Morrell; Hui Wang; Danilo P. Mandic (MFI, 2006)

Blind Extraction of Microsleep Events. - Wai Yie Leong; Danilo P. Mandic; Martin Golz; David Sommer (DSP, 2007)

Feature Fusion for the Detection of Microsleep Events. - Martin Golz; David Sommer; Mo Chen 006; Udo Trutschel; Danilo P. Mandic (J. VLSI Signal Process., 2007)

Data Reduction or Data Fusion in Bisoginal Processing? - Martin Golz; David Sommer; Udo Trutschel (BIOSIGNALS, 2009)

Determination of Driver's Hypovigilance from Biosignals. - David Sommer; Martin Golz; Udo Trutschel; Dave Edwards (ICAART, 2009)

Biosignal Based Discrimination between Slight and Strong Driver Hypovigilance by Support-Vector Machines. - David Sommer; Martin Golz; Udo Trutschel; Dave Edwards (ICAART (Revised Selected Papers), 2009)

Analyse des Mikroschlafs mit Methoden der computergestützten Intelligenz. - David Sommer (2009)

Detecting fatigue from steering behaviour applying continuous wavelet transform. - Jarek Krajewski; Martin Golz; Sebastian Schnieder; Thomas Schnupp; Christian Heinze; David Sommer (MB, 2010)

Applying nonlinear dynamics features for speech-based fatigue detection. - Jarek Krajewski; David Sommer; Thomas Schnupp; Tom Laufenberg; Christian Heinze; Martin Golz (MB, 2010)

Pattern recognition methods: a novel analysis for the pupillographic sleepiness test. - Jarek Krajewski; Thomas Schnupp; Sebastian Schnieder; David Sommer; Christian Heinze; Martin Golz (MB, 2010)

Evaluation of Dynamic Transfer Nodes for Distributed Cooperative On-Demand Transportation. - Markus Duchon; David Sommer; Michael Dürr (VTC Fall, 2011)

Heart rate measures reflect the interaction of low mental workload and fatigue during driving simulation. - Udo Trutschel; Martin Golz; Christian Heinze; David Sommer; Bill Sirois; David Edwards (AutomotiveUI, 2012)

Applying multiple classifiers and non-linear dynamics features for detecting sleepiness from speech. - Jarek Krajewski; Sebastian Schnieder; David Sommer; Anton Batliner; Björn W. Schuller (Neurocomputing, 2012)

Large Sleepy Reading Corpus (LSRC): Applying Read Speech for Detecting Sleepiness. - Jarek Krajewski; Sebastian Schnieder; Christopher Monschau; Raphael Titt; David Sommer; Martin Golz (ITG Symposium on Speech Communication, 2016)

Creating impact resonance through a culture of Holistic Discoverability. - David Sommer (Learn. Publ., 2017)

System identification of a hysteresis-controlled pump system using SINDy. - Gregor Thiele 001; Arne Fey; David Sommer; Jörg Krüger (ICSTCC, 2020)

OptTopo: Automated set-point optimization for coupled systems using topology information. - Gregor Thiele 001; Theresa Johanni; David Sommer; Martin Eigel; Jörg Krüger (CoDIT, 2022)

Tensor-Train Kernel Learning for Gaussian Processes. - Max Kirstein; David Sommer; Martin Eigel (COPA, 2022)

Decomposition of Industrial Systems for Energy Efficiency Optimization with OptTopo. - Gregor Thiele 001; Theresa Johanni; David Sommer; Jörg Krüger (CoRR, 2022)

Less interaction with forward models in Langevin dynamics. - Martin Eigel; Robert Gruhlke; David Sommer (CoRR, 2022)

Approximating Langevin Monte Carlo with ResNet-like Neural Network architectures. - Martin Eigel; Charles Miranda; Janina Schütte; David Sommer (CoRR, 2023)

Dynamical low-rank approximations of solutions to the Hamilton-Jacobi-Bellman equation. - Martin Eigel; Reinhold Schneider; David Sommer (Numer. Linear Algebra Appl., 2023)

Generative Modelling with Tensor Train approximations of Hamilton-Jacobi-Bellman equations. - David Sommer; Robert Gruhlke; Max Kirstein; Martin Eigel; Claudia Schillings (CoRR, 2024)

Less Interaction with Forward Models in Langevin Dynamics: Enrichment and Homotopy. - Martin Eigel; Robert Gruhlke; David Sommer (SIAM J. Appl. Dyn. Syst., 2024)

Sampling from Boltzmann Densities with Physics Informed Low-Rank Formats. - Paul Hagemann; Janina Schütte; David Sommer; Martin Eigel; Gabriele Steidl (SSVM (1), 2025)