All Stories

  1. SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild
  2. I see it in your eyes: Training the shallowest-possible CNN to recognise emotions and pain from muted web-assisted in-the-wild video-chats in real-time
  3. I Know How you Feel Now, and Here's why!: Demystifying Time-Continuous High Resolution Text-Based Affect Predictions in the Wild
  4. Big Data Multimedia Mining: Feature Extraction Facing Volume, Velocity, and Variety
  5. Humans Inside: Cooperative Big Multimedia Data Mining
  6. Deep Scalogram Representations for Acoustic Scene Classification
  7. Tracking Authentic and In-the-wild Emotions Using Speech
  8. Learning Image-based Representations for Heart Sound Classification
  9. Snoring classified: The Munich-Passau Snore Sound Corpus
  10. How Good Is Your Model ‘Really’? On ‘Wildness’ of the In-the-Wild Speech-Based Affect Recognisers
  11. Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis
  12. A Novel Graphical Technique for Combinational Logic Representation and Optimization
  13. The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge
  14. Classification of Melodic Motifs in Raga Music with Time-series Matching