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2010 – 2019
- 2017
[c18]Martin Lachmann, Tilman Stark, Martin Golz, Eberhard Manske:
Evaluation of Deep Autoencoders for Prediction of Adjustment Points in the Mass Production of Sensors. ML4CPS 2017: 9-16- 2016
- [c17]Jarek Krajewski, Sebastian Schnieder, Christopher Monschau, Raphael Titt, David Sommer, Martin Golz:
Large Sleepy Reading Corpus (LSRC): Applying Read Speech for Detecting Sleepiness. ITG Symposium on Speech Communication 2016: 1-4 - 2013
- [c16]Sven Schirmer, Christian Heinze, Martin Golz, Udo Trutschel:
Evolutionary Simulations to Determine the Human Circadian Period Using an Extended Sleep-Wake Model. UKSim 2013: 51-54 - 2012
- [c15]Udo Trutschel, Martin Golz, Christian Heinze, David Sommer, Bill Sirois, David Edwards:
Heart rate measures reflect the interaction of low mental workload and fatigue during driving simulation. AutomotiveUI 2012: 261-264 - 2011
- [c14]Yili Xia, Ling Li
, Jianting Cao, Martin Golz, Danilo P. Mandic:
A collaborative filtering approach for quasi-brain-death EEG analysis. ICASSP 2011: 645-648 - 2010
- [c13]Jarek Krajewski, David Sommer, Thomas Schnupp, Tom Laufenberg, Christian Heinze, Martin Golz:
Applying nonlinear dynamics features for speech-based fatigue detection. MB 2010: 23:1-23:5 - [c12]Jarek Krajewski, Martin Golz, Sebastian Schnieder, Thomas Schnupp, Christian Heinze, David Sommer:
Detecting fatigue from steering behaviour applying continuous wavelet transform. MB 2010: 24:1-24:4 - [c11]Jarek Krajewski, Thomas Schnupp, Sebastian Schnieder, David Sommer, Christian Heinze, Martin Golz:
Pattern recognition methods: a novel analysis for the pupillographic sleepiness test. MB 2010: 25:1-25:4
2000 – 2009
- 2009
- [c10]Martin Golz, David Sommer, Udo Trutschel:
Data Reduction or Data Fusion in Bisoginal Processing? BIOSIGNALS 2009: 440-445 - [c9]David Sommer, Martin Golz, Udo Trutschel, Dave Edwards:
Determination of Driver's Hypovigilance from Biosignals. ICAART 2009: 130-135 - [c8]David Sommer, Martin Golz, Udo Trutschel, Dave Edwards:
Biosignal Based Discrimination between Slight and Strong Driver Hypovigilance by Support-Vector Machines. ICAART (Revised Selected Papers) 2009: 177-187 - 2007
- [j1]Martin Golz, David Sommer, Mo Chen, Udo Trutschel, Danilo P. Mandic:
Feature Fusion for the Detection of Microsleep Events. J. VLSI Signal Process. 49(2): 329-342 (2007) - [c7]Wai Yie Leong, Danilo P. Mandic, Martin Golz, David Sommer:
Blind Extraction of Microsleep Events. DSP 2007: 207-210 - 2006
- [c6]Martin Golz, David Sommer:
The Performance of LVQ Based Automatic Relevance Determination Applied to Spontaneous Biosignals. KES (3) 2006: 1256-1263 - [c5]Mo Chen, David Sommer, Su Lee Goh, Temujin Gautama, Dragan Obradovic, Martin Golz, Mary J. Morrell, Hui Wang, Danilo P. Mandic:
A Novel Tool for Sequential Fusion of Nonlinear Features: A Sleep Psychology Application. MFI 2006: 474-478 - 2005
- [c4]David Sommer, Martin Golz:
A Comparison of Validation Methods for Learning Vector Quantization and for Support Vector Machines on Two Biomedical Data Sets. GfKl 2005: 150-157 - [c3]Danilo P. Mandic, Dragan Obradovic, Anthony Kuh, Tülay Adali, Udo Trutschel, Martin Golz, Philippe De Wilde, Javier A. Barria, Anthony G. Constantinides, Jonathon A. Chambers:
Data Fusion for Modern Engineering Applications: An Overview. ICANN (2) 2005: 715-721 - [c2]David Sommer, Mo Chen, Martin Golz, Udo Trutschel, Danilo P. Mandic:
Fusion of State Space and Frequency- Domain Features for Improved Microsleep Detection. ICANN (2) 2005: 753-759 - 2001
- [c1]David Sommer, Martin Golz:
Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps. ICANN 2001: 642-649
Coauthor Index
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