Sökning: "interpretable model"

Visar resultat 21 - 25 av 61 uppsatser innehållade orden interpretable model.

1. 21. Survivability Prediction and Analysis using Interpretable Machine Learning : A Study on Protecting Ships in Naval Electronic Warfare

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Sidney Rydström; [2022]
   Nyckelord :Electronic warfare; machine learning; statistics; Artificial Neural Networks; ANN; multi-layer perceptron; multi-task learning; interpretable machine learning; Shapley values; kernel SHAP;

   Sammanfattning : Computer simulation is a commonly applied technique for studying electronic warfare duels. This thesis aims to apply machine learning techniques to convert simulation output data into knowledge and insights regarding defensive actions for a ship facing multiple hostile missiles. LÄS MER

3. 22. Enhancement of an Ad Reviewal Process through Interpretable Anomaly Detecting Machine Learning Models

   Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

   Författare :Eric Dahlgren; [2022]
   Nyckelord :Interpretable Machine Learning; Explainable AI; Anomaly Detection;

   Sammanfattning : Technological advancements made in recent decades in the fields of artificial intelligence (AI) and machine learning (ML) has lead to further automation of tasks previously performed by humans. Manually reviewing and assessing content uploaded to social media and marketplace platforms is one of said tasks that is both tedious and expensive to perform, and could possibly be automated through ML based systems. LÄS MER

4. 23. Sequential Deep Learning Models for Neonatal Sepsis Detection : A suitability assessment of deep learning models for event detection in physiological data

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

   Författare :Henrik Alex Siren; [2022]
   Nyckelord :Neonatal sepsis; Deep learning; Recurrent models; Convolutional models; Physiological data; Neonatal sepsis; Djupinlärning; RNN-modeller; CNN-modeller; Fysiologisk data;

   Sammanfattning : Sepsis is a life-threatening condition that neonatal patients are especially susceptible to. Fortunately, improved bedside monitoring has enabled the collection and use of continuous vital signs data for the purpose of detecting conditions such as sepsis. LÄS MER

5. 24. Comparison of Logistic Regression and an Explained Random Forest in the Domain of Creditworthiness Assessment

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

   Författare :Marcus Ankaräng; Jakob Kristiansson; [2021]
   Nyckelord :Classification; Creditworthiness; Explainable Artificial Intelligence; Logistic Regression; Machine Learning; Random Forest; SHAP; XAI;

   Sammanfattning : As the use of AI in society is developing, the requirement of explainable algorithms has increased. A challenge with many modern machine learning algorithms is that they, due to their often complex structures, lack the ability to produce human-interpretable explanations. LÄS MER

7. 25. Detection of plant diseases in tomato leaves : With focus on providing explainability and evaluating user trust

   Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Nishanth Vijay; [2021]
   Nyckelord :;

   Sammanfattning : The transmission of diseases from unhealthy to healthy plants is one of the most disastrous threats to the agriculture industry. Diseases transferred spread like wild fire and have the potential to infest the whole farm if not detected early. LÄS MER