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    Chapter and Conference Paper

    Personalization Models for Human Activity Recognition with Distribution Matching-Based Metrics

    Building activity recognition systems conventionally involves training a common model from all data of training users and utilizing this model to recognize activities of unseen subjects. However, participants ...

    Huy Thong Nguyen, Hyeokhyen Kwon in Deep Learning for Human Activity Recogniti… (2021)

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    Chapter and Conference Paper

    Stacking for Ensembles of Local Experts in Metabonomic Applications

    Recently, Ensembles of local experts have successfully been applied for the automatic detection of drug-induced organ toxicities based on spectroscopic data. For suitable Ensemble composition an expert selecti...

    Kai Lienemann, Thomas Plötz, Gernot A. Fink in Multiple Classifier Systems (2009)

  3. Chapter and Conference Paper

    Automatic Classification of NMR Spectra by Ensembles of Local Experts

    A new approach for the automatic detection of drug-induced organ toxicities based on Nuclear Magnetic Resonance Spectroscopy data from biofluids is presented in this paper. Spectral data from biofluids contain...

    Kai Lienemann, Thomas Plötz, Gernot A. Fink in Structural, Syntactic, and Statistical Pat… (2008)

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    Chapter and Conference Paper

    On the Application of SVM-Ensembles Based on Adapted Random Subspace Sampling for Automatic Classification of NMR Data

    We present an approach for the automatic classification of Nuclear Magnetic Resonance Spectroscopy data of biofluids with respect to drug induced organ toxicities. Classification is realized by an Ensemble of ...

    Kai Lienemann, Thomas Plötz, Gernot A. Fink in Multiple Classifier Systems (2007)