Abstract Machine learning has been widely adopted for fault detection and diagnosis (FDD)
in heating, ventilation and air conditioning (HVAC) systems over the past decade due to the …

Conversations have become a critical data format on social media platforms. Understanding
conversation from emotion, content and other aspects also attracts increasing attention from …

Melanoma is a fatal skin cancer that is curable and has dramatically increasing survival rate
when diagnosed at early stages. Learning-based methods hold significant promise for the …

Speech Emotion Recognition (SER) requires a thorough understanding of both the linguistic
content of an utterance (ie, textual information) and how the speaker utters it (ie, acoustic …

In the last few years, the multi-modal emotion recognition has become an important research
issue in the affective computing community due to its wide range of applications that include …

In the light of the current COVID-19 pandemic, the need for remote digital health assessment
tools is greater than ever. This statement is especially pertinent for elderly and vulnerable …

In recent years, speech emotion recognition technology is of great significance in
widespread applications such as call centers, social robots and health care. Thus, the …

For several years now, smart building energy systems have been a research area of
intensive activity. In light of the increasing need for sustainable buildings and energy …

Whilst deep learning techniques have achieved excellent emotion prediction, they still
require large amounts of labelled training data, which are (a) onerous and tedious to …

Studies on emotion recognition (ER) show that combining lexical and acoustic information
results in more robust and accurate models. The majority of the studies focus on settings …