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Information fusion for edge intelligence: A survey
Edge intelligence capability is expected to enable the development of a new paradigm
integrated with edge computing and artificial intelligence. However, due to the multisource …
integrated with edge computing and artificial intelligence. However, due to the multisource …
Hawkes processes for events in social media
This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
processes, for modeling discrete, inter-dependent events over continuous time. We start by …
Deep learning for video classification and captioning
Today's digital contents are inherently multimedia: text, audio, image, video, and so on.
Video, in particular, has become a new way of communication between Internet users with …
Video, in particular, has become a new way of communication between Internet users with …
Analyzing free-standing conversational groups: A multimodal approach
During natural social gatherings, humans tend to organize themselves in the so-called free-
standing conversational groups. In this context, robust head and body pose estimates can …
standing conversational groups. In this context, robust head and body pose estimates can …
Laughter research: a review of the ILHAIRE project
Laughter is everywhere. So much so that we often do not even notice it. First, laughter has a
strong connection with humour. Most of us seek out laughter and people who make us …
strong connection with humour. Most of us seek out laughter and people who make us …
Kristina: A knowledge-based virtual conversation agent
We present an intelligent embodied conversation agent with linguistic, social and emotional
competence. Unlike the vast majority of the state-of-the-art conversation agents, the …
competence. Unlike the vast majority of the state-of-the-art conversation agents, the …
eXplainable cooperative machine learning with NOVA
In the following article, we introduce a novel workflow, which we subsume under the term
“explainable cooperative machine learning” and show its practical application in a data …
“explainable cooperative machine learning” and show its practical application in a data …
Investigating multisensory integration in emotion recognition through bio-inspired computational models
Emotion understanding represents a core aspect of human communication. Our social
behaviours are closely linked to expressing our emotions and understanding others' …
behaviours are closely linked to expressing our emotions and understanding others' …
Speech emotion recognition with early visual cross-modal enhancement using spiking neural networks
Speech emotion recognition (SER) is an important part of affective computing and signal
processing research areas. A number of approaches, especially deep learning techniques …
processing research areas. A number of approaches, especially deep learning techniques …
Robot and cloud-assisted multi-modal healthcare system
With the rise of the robot and cloud computing technology, human-centric healthcare service
attracts widely attention in order to meet the great challenges of traditional healthcare …
attracts widely attention in order to meet the great challenges of traditional healthcare …