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    Author information
    First name: Björn W.
    Last name: Schuller
    DBLP: 54/4934
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    Below you find the publications which have been written by this author.

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    Conference paper
    George Trigeorgis, Konstantinos Bousmalis, Stefanos Zafeiriou, Björn W. Schuller.
    A Deep Matrix Factorization Method for Learning Attribute Representations.
    IEEE Trans. Pattern Anal. Mach. Intell. 2017, Volume 39 (0) 2017
    Conference paper
    Gil Keren, Sivan Sabato, Björn W. Schuller.
    Tunable Sensitivity to Large Errors in Neural Network Training.
    Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA. 2017 (0) 2017
    Journal article
    Björn W. Schuller.
    Editorial: IEEE Transactions on Affective Computing - Challenges and Chances.
    IEEE Trans. Affective Computing 2017, Volume 8 (0) 2017
    Conference paper
    Jun Deng, Xinzhou Xu, Zixing Zhang, Sascha Frühholz, Björn W. Schuller.
    Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition.
    IEEE Signal Process. Lett. 2017, Volume 24 (0) 2017
    Conference paper
    Panagiotis Tzirakis, George Trigeorgis, Mihalis A. Nicolaou, Björn W. Schuller, Stefanos Zafeiriou.
    End-to-End Multimodal Emotion Recognition using Deep Neural Networks.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Dieu Linh Tran, Robert Walecki, Ognjen Rudovic, Stefanos Eleftheriadis, Björn W. Schuller, Maja Pantic.
    DeepCoder: Semi-parametric Variational Autoencoders for Facial Action Unit Intensity Estimation.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic, Björn W. Schuller, Maja Pantic.
    Deep Structured Learning for Facial Action Unit Intensity Estimation.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Jun Deng, Sascha Frühholz, Zixing Zhang, Björn W. Schuller.
    Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning.
    IEEE Access 2017, Volume 5 (0) 2017
    Conference paper
    Erik Marchi, Fabio Vesperini, Stefano Squartini, Björn W. Schuller.
    Deep Recurrent Neural Network-Based Autoencoders for Acoustic Novelty Detection.
    Comp. Int. and Neurosc. 2017, Volume 2017 (0) 2017
    Conference paper
    Björn W. Schuller.
    Can Affective Computing Save Lives? Meet Mobile Health.
    IEEE Computer 2017, Volume 50 (0) 2017
    Conference paper
    Zixing Zhang, Jürgen T. Geiger, Jouni Pohjalainen, Amr El-Desoky Mousa, Björn W. Schuller.
    Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Gil Keren, Sivan Sabato, Björn W. Schuller.
    Fast Single-Class Classification and the Principle of Logit Separation.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Nicholas Cummins, Bogdan Vlasenko, Hesam Sagha, Björn W. Schuller.
    Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features.
    Artificial Intelligence in Medicine - 16th Conference on Artificial Intelligence in Medicine, AIME 2017, Vienna, Austria, June 21-24, 2017, Proceedings 2017 (0) 2017
    Conference paper
    Jing Han, Zixing Zhang, Fabien Ringeval, Björn W. Schuller.
    Reconstruction-error-based learning for continuous emotion recognition in speech.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Yue Zhang 0014, Yifan Liu, Felix Weninger, Björn W. Schuller.
    Multi-task deep neural network with shared hidden layers: Breaking down the wall between emotion representations.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Florian Eyben, Matthias Unfried, Gerhard Hagerer, Björn W. Schuller.
    Automatic multi-lingual arousal detection from voice applied to real product testing applications.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Jing Han, Zixing Zhang, Fabien Ringeval, Björn W. Schuller.
    Prediction-based learning for continuous emotion recognition in speech.
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017 2017 (0) 2017
    Conference paper
    Xinzhou Xu, Jun Deng, Nicholas Cummins, Zixing Zhang, Chen Wu, Li Zhao, Björn W. Schuller.
    A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech.
    IEEE/ACM Trans. Audio, Speech Language Processing 2017, Volume 25 (0) 2017
    Conference paper
    Jun Deng, Nicholas Cummins, Maximilian Schmitt, Kun Qian, Fabien Ringeval, Björn W. Schuller.
    Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations.
    Proceedings of the 2017 International Conference on Digital Health, London, United Kingdom, July 2-5, 2017 2017 (0) 2017
    Conference paper
    Zixing Zhang, Felix Weninger, Martin Wöllmer, Jing Han, Björn W. Schuller.
    Towards intoxicated speech recognition.
    2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Johanna Bohm, Florian Eyben, Maximilian Schmitt, Harald Kosch, Björn W. Schuller.
    Seeking the SuperStar: Automatic assessment of perceived singing quality.
    2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Romain Sabathe, Eduardo Coutinho, Björn W. Schuller.
    Deep recurrent music writer: Memory-enhanced variational autoencoder-based musical score composition and an objective measure.
    2017 International Joint Conference on Neural Networks, IJCNN 2017, Anchorage, AK, USA, May 14-19, 2017 2017 (0) 2017
    Conference paper
    Zixing Zhang, Nicholas Cummins, Björn W. Schuller.
    Advanced Data Exploitation in Speech Analysis: An overview.
    IEEE Signal Process. Mag. 2017, Volume 34 (0) 2017
    Conference paper
    Kun Qian, Christoph Janott, Vedhas Pandit, Zixing Zhang, Clemens Heiser, Winfried Hohenhorst, Michael Herzog, Werner Hemmert, Björn W. Schuller.
    Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis.
    IEEE Trans. Biomed. Engineering 2017, Volume 64 (0) 2017
    Conference paper
    Gerhard Hagerer, Vedhas Pandit, Florian Eyben, Björn W. Schuller.
    Enhancing LSTM RNN-Based Speech Overlap Detection by Artificially Mixed Data.
    AES International Conference Semantic Audio 2017, Erlangen, Germany, June 22-24, 2017 2017 (0) 2017
    Show item 1 to 25 of 413  

    Your query returned 413 matches in the database.