Browsing Computer Science by Subject "Machine learning"
Now showing items 1-6 of 6
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An Active Data Representation of Videos for Automatic Scoring of Oral Presentation Delivery Skills and Feedback Generation
(2020)Public speaking is an important skill, the acquisition of which requires dedicated and time consuming training. In recent years, researchers have started to investigate automatic methods to support public speaking skills ... -
Hybrid modelling for stroke care: Review and suggestions of new approaches for risk assessment and simulation of scenarios
(2021)Stroke is an example of a complex and multi-factorial disease involving multiple organs, timescales, and disease mechanisms. To deal with this complexity, and to realize Precision Medicine of stroke, mathematical models ... -
Investigating the use of recurrent motion modelling for speech gesture generation
(2018)The growing use of virtual humans demands generating increasingly realistic behavior for them while minimizing cost and time. Gestures are a key ingredient for realistic and engaging virtual agents and consequently automatized ... -
Optimising Energy Efficiency in UAV-Assisted Networks using Multi-Agent Reinforcement Learning
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2023)The demand for cellular connectivity continues to witness unprecedented growth over the years. Unmanned Aerial Vehicles (UAVs) equipped with small cells can provide ubiquitous connectivity to static and mobile ground users ... -
An Overview on Application of Machine Learning Techniques in Optical Networks
(2019)Today’s telecommunication networks have become sources of enormous amounts of widely heterogeneous data. This information can be retrieved from network traffic traces, network alarms, signal quality indicators, users’ ... -
Predicting cognitive load levels from speech data
(Springer, 2015)An analysis of acoustic features for a ternary cognitive load classification task and an application of a classification boosting method to the same task are presented. The analysis is based on a data set that ...