Sökning: "Skövde Artificial Intelligence Lab SAIL"

Visar resultat 1 - 5 av 10 avhandlingar innehållade orden Skövde Artificial Intelligence Lab SAIL.

1. 1. Advancing Deep Learning-based Driver Intention Recognition : Towards a safe integration framework of high-risk AI systems

   Författare :Koen Vellenga; H. Joe Steinhauer; Alexander Karlsson; Göran Falkman; Christian Berger; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; deep learning; uncertainty estimation; driver intention recognition; INF302 Autonomous Intelligent Systems; INF302 Autonoma intelligenta system; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

   Sammanfattning : Progress in artificial intelligence (AI), onboard computation capabilities, and the integration of advanced sensors in cars have facilitated the development of Advanced Driver Assistance Systems (ADAS). These systems aim to continuously minimize human driving errors. LÄS MER

3. 2. Integrating domain knowledge into deep learning : Increasing model performance through human expertise

   Författare :Niclas Ståhl; Göran Falkman; Alexander Karlsson; Gunnar Mathiason; Jonas Boström; Keith Downing; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; INF301 Data Science; INF301 Data Science; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

   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

4. 3. Conformal anomaly detection : Detecting abnormal trajectories in surveillance applications

   Författare :Rikard Laxhammar; Göran Falkman; Pontus Svenson; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Anomaly detection; conformal prediction; trajectory analysis; video surveillance; maritime surveillance; Technology; Teknik; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

   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

5. 4. Towards Enhanced Tactical Support Systems

   Författare :Ulrika Ohlander; Maria Riveiro; Göran Falkman; Jens Alfredson; Mårtensson Lena; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; teamwork; decision support; user participation; fighter aircraft; Natural sciences; Naturvetenskap; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

   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

7. 5. Towards Privacy Preserving Micro-data Analysis : A machine learning based perspective under prevailing privacy regulations

   Författare :Navoda Senavirathne; Vicenç Torra; Maria Riveiro; Sonja Buchegger; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Data anonymization; data privacy; privacy-preserving machine learning; privacy preserving data publishing; personal data protection; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

   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