Essays about: "Explainable artificial intelligence XAI"
Showing result 6 - 10 of 25 essays containing the words Explainable artificial intelligence XAI.
-
6. Explainable AI by Training Introspection
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : 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. READ MORE
-
7. Explainable Machine Learning for Lead Time Prediction : A Case Study on Explainability Methods and Benefits in the Pharmaceutical Industry
University essay from KTH/Hållbar produktionsutveckling (ML)Abstract : Artificial Intelligence (AI) has proven to be highly suitable for a wide range of problems in manufacturing environments, including the prediction of lead times. Most of these solutions are based on ”black-box” algorithms, which hinder practitioners to understand the prediction process. READ MORE
-
8. What do you mean? : The consequences of different stakeholders’ logics in machine learning and how disciplinary differences should be managed within an organization
University essay from Uppsala universitet/Institutionen för informatik och mediaAbstract : This research paper identifies the disciplinary differences of stakeholders and its effects on working cross-functional in the context of machine learning. This study specifically focused on 1) how stakeholders with disciplinary differences interpret a search system, and 2) how the multi-disciplines should be managed in an organization. READ MORE
-
9. Interpretable Outlier Detection in Financial Data : Implementation of Isolation Forest and Model-Specific Feature Importance
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : Market manipulation has increased in line with the number of active players in the financialmarkets. The most common methods for monitoring financial markets are rule-based systems,which are limited to previous knowledge of market manipulation. READ MORE
-
10. Increasing the Trustworthiness ofAI-based In-Vehicle IDS usingeXplainable AI
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : 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. READ MORE
