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Fuzzy integral based information fusion for classification of highly confusable non-speech sounds.

, , and . Pattern Recognition, 41 (5): 1814-1823 (2008)

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Acoustic Event Detection and Classification., , , , , and . Computers in the Human Interaction Loop, Springer, (2009)Robust neonatal EEG seizure Detection through Adaptive Background Modeling., , , and . Int. J. Neural Syst., (2013)Instantaneous Measure of EEG Channel Importance for Improved Patient-Adaptive Neonatal Seizure Detection., , , , and . IEEE Trans. Biomed. Engineering, 59 (3): 717-727 (2012)Improving the Performance of Acoustic Event Classification by Selecting and Combining Information Sources Using the Fuzzy Integral., , and . MLMI, volume 3869 of Lecture Notes in Computer Science, page 357-368. Springer, (2005)Detection of acoustic events in interactive seminar data with temporal overlaps., and . INTERSPEECH, page 2594-2597. ISCA, (2008)Selection of features and combination of classifiers using a fuzzy approach for acoustic event classification., , and . INTERSPEECH, page 2989-2992. ISCA, (2005)Validation of an Automated Seizure Detection System on Healthy Babies - Histogram-based Energy Normalization for Montage Mismatch Compensation., , , , and . BIOSIGNALS, page 312-317. INSTICC Press, (2010)Discriminative and Generative Classification Techniques Applied to Automated Neonatal Seizure Detection., , , , and . IEEE J. Biomedical and Health Informatics, 17 (2): 297-304 (2013)Dynamic time warping based neonatal seizure detection system., , , , and . EMBC, page 4919-4922. IEEE, (2012)Acoustic event detection in meeting-room environments., and . Pattern Recognition Letters, 30 (14): 1281-1288 (2009)