Sökning: "XAI"

Visar resultat 16 - 20 av 42 uppsatser innehållade ordet XAI.

1. 16. What do you mean? : The consequences of different stakeholders’ logics in machine learning and how disciplinary differences should be managed within an organization

   Master-uppsats, Uppsala universitet/Institutionen för informatik och media

   Författare :Nina Eliasson; [2022]
   Nyckelord :Institutional Logics; Multi-Disciplinary Organizations; Explainable Artificial Intelligence XAI;

   Sammanfattning : 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. LÄS MER

3. 17. Interpretable Outlier Detection in Financial Data : Implementation of Isolation Forest and Model-Specific Feature Importance

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

   Författare :Vilhelm Söderström; Kasper Knudsen; [2022]
   Nyckelord :Outlier Detection; Explainable artificial intelligence; XAI; Isolation Forest; MI-Local-DIFFI;

   Sammanfattning : 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. LÄS MER

4. 18. XAI-assisted Radio Resource Management: Feature selection and SHAP enhancement

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

   Författare :Nicolás Sibuet Ruiz; [2022]
   Nyckelord :Deep Learning; Explainable Artficial Intelligence; 5G; Model Reduction; Deep Learning; Förklarlig AI; 5G; Modellreduktion;

   Sammanfattning : With the fast development of radio technologies, wireless systems have become more convoluted. This complexity, accompanied by an increase of the number of connections, is translated into a need for more parameters to analyse and decisions to take at each instant. LÄS MER

5. 19. 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

7. 20. Using XAI Tools to Detect Harmful Bias in ML Models

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Klaus Virtanen; [2022]
   Nyckelord :Explainable AI; XAI; Machine Learning; Bias; Bias in Machine Learning; LIME; SHAP;

   Sammanfattning : In the past decade, machine learning (ML) models have become farmore powerful, and are increasingly being used in many important contexts. At the same time, ML models have become more complex, and harder to understand on their own, which has necessitated an interesting explainable AI (XAI), a field concerned with ensuring that ML and other AI system can be understood by human users and practitioners. LÄS MER