Sökning: "Sławomir Nowaczyk"
Visar resultat 1 - 5 av 17 avhandlingar innehållade orden Sławomir Nowaczyk.
1. Conditional Partial Plans for Rational Situated Agents Capable of Deductive Reasoning and Inductive Learning
Sammanfattning : Rational, autonomous agents that are able to achieve their goals in dynamic, partially observable environments are the ultimate dream of Artificial Intelligence research since its beginning. The goal of this PhD thesis is to propose, develop and evaluate a framework well suited for creating intelligent agents that would be able to learn from experience, thus becoming more efficient at solving their tasks. LÄS MER
2. Deep Evidential Doctor
Sammanfattning : Recent years have witnessed an unparalleled surge in deep neural networks (DNNs) research, surpassing traditional machine learning (ML) and statistical methods on benchmark datasets in computer vision, audio processing and natural language processing (NLP). Much of this success can be attributed to the availability of numerous open-source datasets, advanced computational resources and algorithms. LÄS MER
3. Predicting clinical outcomes via machine learning on electronic health records
Sammanfattning : The rising complexity in healthcare, exacerbated by an ageing population, results in ineffective decision-making leading to detrimental effects on care quality and escalates care costs. Consequently, there is a need for smart decision support systems that can empower clinician's to make better informed care decisions. LÄS MER
4. Self-Monitoring using Joint Human-Machine Learning : Algorithms and Applications
Sammanfattning : The ability to diagnose deviations and predict faults effectively is an important task in various industrial domains for minimizing costs and productivity loss and also conserving environmental resources. However, the majority of the efforts for diagnostics are still carried out by human experts in a time-consuming and expensive manner. LÄS MER
5. Together We Learn More : Algorithms and Applications for User-Centric Anomaly Detection
Sammanfattning : Anomaly detection is the problem of identifying data points or patterns that do not conform to normal behavior. Anomalies in data often correspond to important and actionable information such as frauds in financial applications, faults in production units, intrusions in computer systems, and serious diseases in patient records. LÄS MER