Auf Digicampus k?nnen Sie aktuelle Themen bei den Seminaren Digital Health und Computational Intelligence?finden.?Bei offenen Fragen kontaktieren Sie gerne unsere? Mitarbeiter.

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Aktuell haben wir?die folgenden offenen Themen bei Abschlussarbeiten, Projektmodulen, Forschungsmodulen und Praxismodulen.?Bei offenen Fragen und für weitere Themen kontaktieren Sie uns gerne. Finden?Sie unsere?Forschungsinteressen auf unseren?individuellen Seiten.

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• Vorhersage von Ausf?llen bei Starterbatterien (Masterarbeit mit MAN Truck & Bus SE) ( Manuel Milling, Alexander Gebhard)
• Emotional text-to-speech generation ( Shahin Amiriparian)
• Meta learning for multi-corpus speech analysis ( Maurice Gerczuk)
• Federated learning for mobile-based audio analysis ( Maurice Gerczuk)

• Encoded speech actvity recognition in noisy environments ( Manuel Milling, Andreas Triantafyllopoulos)

• Detection and direction of arrival estimation for sound events ( Manuel Milling, Andreas Triantafyllopoulos)

• Exploring optimisation algorithms for deep learning ( Manuel Milling)
• Object detection and classification of pollen on microscope images ( Manuel Milling)
• Exploring distance-based loss functions for deep learning in classification tasks ( Manuel Milling)
• Multi-modal clinical score prediction for multiple sclerosis ( Manuel Milling, Alexander Kathan)
• Exploring cross-modal interactions for emotion recognition in the wild ( Vincent Karas)
• Exploring the effectiveness of transfer learning for emotion detection ( Vincent Karas)
• Audio-visual acoustic scene classification ( Andreas Triantafyllopoulos)
• Runner wellbeing and fatigue prediction from wearable and audio data ( Andreas Triantafyllopoulos)
• Bio-acoustic event detection ( Andreas Triantafyllopoulos)
• Personalised humour recognition using linguistic features ( Alexander Kathan)
• A personalised multimodal approach to humour recognition ( Alexander Kathan)
• Exploring personalised machine learning in healthcare applications ( Alexander Kathan)
• A novel similarity-based personalisation approach for speaker-independent audio processing ( Alexander Kathan)
• Clinical score prediction for multiple sclerosis utilising personalised models ( Alexander Kathan, Manuel Milling)

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