Sökning: "explainable predictions"
Visar resultat 1 - 5 av 24 uppsatser innehållade orden explainable predictions.
1. Utvärdering av tolkningsbara maskininlärningsmodeller för att prediktera processegenskaper vid kartongtillverkning
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : To produce paperboard is a complex process which requires sophisticated monitoring to achieve a paperboard of high quality. Holmen Iggesund is a company in the paperboard manufacturing industry, aiming to produce paperboard of world leading quality. Therefore, they continuously develop their knowledge the production process. LÄS MER
2. Explainable AI by Training Introspection
Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Deep Neural Networks (DNNs) are known as black box algorithmsthat lack transparency and interpretability for humans. eXplainableArtificial Intelligence (XAI) is introduced to tackle this problem. MostXAI methods are utilized post-training, providing explanations of themodel to clarify its predictions and inner workings for human understanding. LÄS MER
3. Explaining Mortality Prediction With Logistic Regression
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Explainability is a key component in building trust for computer calculated predictions when they are applied to areas with influence over individual people. This bachelor thesis project report focuses on the explanation regarding the decision making process of the machine learning method Logistic Regression when predicting mortality. LÄS MER
4. Explainable Reinforcement Learning for Gameplay
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : State-of-the-art Machine Learning (ML) algorithms show impressive results for a myriad of applications. However, they operate as a sort of a black box: the decisions taken are not human-understandable. LÄS MER
5. Increasing the Trustworthiness ofAI-based In-Vehicle IDS usingeXplainable AI
Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologiSammanfattning : An in-vehicle intrusion detection system (IV-IDS) is one of the protection mechanisms used to detect cyber attacks on electric or autonomous vehicles where anomaly-based IDS solution have better potential at detecting the attacks especially zero-day attacks. Generally, the IV-IDS generate false alarms (falsely detecting normal data as attacks) because of the difficulty to differentiate between normal and attack data. LÄS MER