In this thesis, we make four contributions to Transport-layer Multi-connectivity (TLMC) in wireless networks. First, we address the challenges in deploying and using MPTCP as a higher-layer steering function in the 5G ...

This thesis provides a quantitative examination of multiparty casual talk, a speech genre which is fundamental to human social life. Multiparty casual conversation has been reported to comprise chat and chunk phases, where ...

Optical network disaggregation is a novel technological paradigm enabling the mitigation of lock- in vendor constraints imposed within legacy systems, by aiming to standardise the control inter- faces embedded in optical ...

Neural Networks have become one of the most successful machine learning algorithms and are playing a key role in enabling machine vision and speech recognition. Their computational complexity and memory demands are challenging ...

Convolutional neural networks (CNNs) have become a paradigm for designing vision based intelligent systems. These models are controlled by a vast amount of parameters, which are learned thanks to the availability of annotated ...

We explore the use of continuous rating scales for human evaluation in the context of machine translation evaluation, comparing two assessor-intrinsic quality-control techniques that do not rely on agreement with expert ...

This paper presents the results of the WMT17 Metrics Shared Task. We asked participants of this task to score the outputs of the MT systems involved in the WMT17 news translation task and Neural MT training task. We collected ...

This article outlines issues in the current ecosystem of data sharing based on consent and the role of identity and identification. It argues how the consent mechanism is hostile to individuals in the form of: (a) inscrutable ...