Sökning: "Skövde Artificial Intelligence Lab SAIL"
Visar resultat 1 - 5 av 9 avhandlingar innehållade orden Skövde Artificial Intelligence Lab SAIL.
1. Integrating domain knowledge into deep learning : Increasing model performance through human expertise
Sammanfattning : The research in this thesis is focused on how deep learning models can be designed and implemented to better emulate and integrate the heuristic reasoning process of human experts. Several case studies, within the domains of steel making and drug discovery, are conducted in order to evaluate the performance of these models, in comparison to models that do not consider human expert knowledge from the targeted domain. LÄS MER
2. Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications
Sammanfattning : Human operators of modern surveillance systems are confronted with an increasing amount of trajectory data from moving objects, such as people, vehicles, vessels, and aircraft. A large majority of these trajectories reflect routine traffic and are uninteresting. LÄS MER
3. Towards Enhanced Tactical Support Systems
Sammanfattning : Fighter pilots operate high-performing powerful aircraft, equipped with complex sensor systems, in a dynamic and hostile environment. The pilots need to have control over their own aircraft as well as the developing situation surrounding them. LÄS MER
4. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations
Sammanfattning : Machine learning (ML) has been employed in a wide variety of domains where micro-data (i.e., personal data) are used in the training process. LÄS MER
5. Distributed and federated learning of support vector machines and applications
Sammanfattning : Machine Learning (ML) has achieved remarkable success in solving classification, regression, and related problems over the past decade. In particular the exponential growth of digital data, makes using ML inevitable and necessary to exploit the wealth of information hidden inside the data. LÄS MER
