Sökning: "explainable predictions"

Visar resultat 1 - 5 av 24 uppsatser innehållade orden explainable predictions.

1. 1. Utvärdering av tolkningsbara maskininlärningsmodeller för att prediktera processegenskaper vid kartongtillverkning

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Olle Åström; [2023]
   Nyckelord :Maskininlärning; XAI;

   Sammanfattning : 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

3. 2. Explainable AI by Training Introspection

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Rozhin Dastkarvelayati; Soudabeh Ghafourian; [2023]
   Nyckelord :Explainable Artificial Intelligence XAI ; Model Improvement; XAI stability;

   Sammanfattning : 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

4. 3. Explaining Mortality Prediction With Logistic Regression

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alva Johansson Staaf; Victor Engdahl; [2022]
   Nyckelord :Machine Learning; Logistic Regression; Mortality Prediction; Explainability; MIMIC-III;

   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

5. 4. Explainable Reinforcement Learning for Gameplay

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Àlex Costa Sánchez; [2022]
   Nyckelord :Explainable Artificial Intelligence; Local Interpretable Model-agnostic Explanations; Reinforcement Learning; Shapley Additive Explanations; Intel·ligencia Artificial Interpretable; Explicacions model-agnòstiques localment interpretables; Aprenentatge per reforç; Explicacions additives de Shapley; Förklarbar artificiell intelligent; Lokala tolkningsbara modellagnostiska förklaringar; Förstärkningsinlärning; Shapleys additiv förklaringar;

   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

7. 5. Increasing the Trustworthiness ofAI-based In-Vehicle IDS usingeXplainable AI

   Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Författare :Hampus Lundberg; [2022]
   Nyckelord :Intrusion Detection System; In-Vehicle Intrusion Detection System; Machine Learning; Deep Learning; Explainable Artificial Intelligence; Trustworthiness.;

   Sammanfattning : 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