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Showing result 1 - 5 of 71 essays matching the above criteria.

1. 1. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)

   University essay from Lunds universitet/Graduate School

   Author : Luis Felipe Villota Macias; [2024]
   Keywords : Agonistic peace; antagonism; big data analytics; binary logistic regression; computational content analysis; Colombia; Colombian peace process; discord; Facebook; machine learning; peace process; public opinion and sentiment; social media; Law and Political Science; Social Sciences;

   Abstract : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. READ MORE

3. 2. Expert Knowledge Elicitation for Machine Learning : Insights from a Survey and Industrial Case Study

   University essay from Jönköping University/Jönköping AI Lab (JAIL)

   Author : Samuel Svensson; Oskar Persson; [2023]
   Keywords : knowledge elicitation; machine learning; expert knowledge; informed machine learning; hybrid machine learning; survey; taxonomy;

   Abstract : While machine learning has shown success in many fields, it can be challenging when there are limitations with insufficient training data. By incorporating knowledge into the machine learning pipeline, one can overcome such limitations. Therefore, eliciting expert knowledge can play an important role in the machine learning project pipeline. READ MORE

4. 3. A requirements engineering approach in the development of an AI-based classification system for road markings in autonomous driving : a case study

   University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Author : Srija Sunkara; [2023]
   Keywords : Requirements Engineering; Machine Learning; Goal-Oriented Requirements Engineering; Autonomous Driving; Point Cloud Classification;

   Abstract : Background: Requirements engineering (RE) is the process of identifying, defining, documenting, and validating requirements. However, RE approaches are usually not applied to AI-based systems due to their ambiguity and is still a growing subject. READ MORE

5. 4. Human-Centered Explainability Attributes In Ai-Powered Eco-Driving : Understanding Truck Drivers' Perspective

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Ermela Gjona; [2023]
   Keywords : Explainable AI; XAI; human-centered explainable AI; HCXAI; explainability; AI-powered systems; eco-driving; user needs;

   Abstract : The growing presence of algorithm-generated recommendations in AI-powered services highlights the importance of responsible systems that explain outputs in a human-understandable form, especially in an automotive context. Implementing explainability in recommendations of AI-powered eco-driving is important in ensuring that drivers understand the underlying reasoning behind the recommendations. READ MORE

6. 5. Exploring GPT models as biomedical knowledge bases : By evaluating prompt methods for extracting information from language models pre-trained on scientific articles

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Ebba Hellberg; [2023]
   Keywords : Language model; GPT; knowledge probing; information extraction; prompt methods; Språkmodell; GPT; kunskapsbas; informationsextraktion; prompt-metoder;

   Abstract : Scientific findings recorded in literature help continuously guide scientific advancements, but manual approaches to accessing that knowledge are insufficient due to the sheer quantity of information and data available. Although pre-trained language models are being explored for their utility as knowledge bases and structured data repositories, there is a lack of research for this application in the biomedical domain. READ MORE