Sökning: "Elsa Olsson"
Visar resultat 1 - 5 av 21 uppsatser innehållade orden Elsa Olsson.
1. Market Value Implications of Increasing Passive Investing
Kandidat-uppsats,Sammanfattning : This study examines if recent years’ popularity and large inflow of money to passive index funds have led to inflated prices in the Swedish equity market. The problem was investigated by studying the net fund flows to passive funds and comparing them to active funds over time to measure to what extent they affect the market price-to-earnings ratio. LÄS MER
2. Det idylliska kaoset
Master-uppsats, Lunds universitet/Masterprogram: Litteratur - Kultur – MediaSammanfattning : The aim of this study is to examine idyllic romanticism and pastoral ideals in Swedish children’s literature from two distinct periods of history: the turn of the 19th and 20th centuries, and the 21st century. During the turn of the 19th and 20th centuries, Sweden underwent a radical societal change from an agricultural society to an industrial one. LÄS MER
3. Nobody Puts IKEA in the Corner
L3-uppsats, Lunds universitet/Företagsekonomiska institutionenSammanfattning : .... LÄS MER
4. Artificial Intelligence and Gender Equality: A Study on Legal Scholars’ Understanding of Gender Discrimination and Suggested Solutions
Uppsats för yrkesexamina på grundnivå, Lunds universitet/Juridiska institutionen; Lunds universitet/Juridiska fakultetenSammanfattning : The thesis aims to identify the dominant narrative within the legal research field of Artificial Intelligence (AI) and discuss the merit of the prevalent solutions offered by scholars in relation to substantive gender equality. The thesis finds the solutions from a systematic legal literature review covering AI and gender. LÄS MER
5. Domain adaptation for white blood cell classification - Bridging the gap created by optical hardware upgrades
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Collecting enough labeled images to train an artificial neural network (ANN) is a common struggle since the process is tedious, time consuming and expensive. CellaVision, a company that creates analyzers that automate the process of finding and pre-classifying abnormal blood cells using machine learning, runs into this problem regularly. LÄS MER