Embodied Large Language Models for Personalized Meeting Summarization
The rapid advancement of pervasive systems and wearables has paved the way for personal informatics systems, e.g., personal assistants and chatbots. Such systems gear towards …
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The rapid advancement of pervasive systems and wearables has paved the way for personal informatics systems, e.g., personal assistants and chatbots. Such systems gear towards …
The rapid advancement of pervasive systems and wearables has paved the way for personal informatics systems, e.g., personal assistants and chatbots. These systems can be deployed …
Federated learning and its combination with differential privacy is the latest technique for building privacy-aware machine-learning models [1]. Its primary assumption – no data …
Federated learning (FL) is a state-of-the-art machine-learning technique developed by Google, where the users’ privacy is guaranteed by implementing one simple rule: “No personal …
Federated learning and its combination with differential privacy is the latest technique for building privacy-aware machine-learning models [1]. Its primary assumption – no data …
Wearables facilitate continuous data collection to monitor diverse human behaviors, covering activity, health, and stress. This personal data, including electrocardiogram, …
Wearable devices, combined with Artificial Intelligence (AI) methods, can bring significant and sustainable improvements to our lives – from improved patient monitoring and …
In this thesis, the objective is to investigate the use of Monte Carlo Dropout, a Bayesian Deep Learning technique, to make uncertainty prediction on Neural Network outputs when …