Information fusion for edge intelligence: A survey

Y Zhang, C Jiang, B Yue, J Wan, M Guizani - Information Fusion, 2022 - Elsevier
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 …

Hawkes processes for events in social media

MA Rizoiu, Y Lee, S Mishra, L **e - Frontiers of multimedia research, 2017 - dl.acm.org
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 …

Deep learning for video classification and captioning

Z Wu, T Yao, Y Fu, YG Jiang - Frontiers of multimedia research, 2017 - dl.acm.org
Deep learning for video classification and captioning Page 1 IPART MULTIMEDIA
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …

Analyzing free-standing conversational groups: A multimodal approach

X Alameda-Pineda, Y Yan, E Ricci, O Lanz… - Proceedings of the 23rd …, 2015 - dl.acm.org
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 …

Laughter research: A review of the ILHAIRE project

S Dupont, H Çakmak, W Curran, T Dutoit… - Toward Robotic Socially …, 2016 - Springer
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 …

eXplainable cooperative machine learning with NOVA

T Baur, A Heimerl, F Lingenfelser, J Wagner… - KI-Künstliche …, 2020 - Springer
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 …

Kristina: A knowledge-based virtual conversation agent

L Wanner, E André, J Blat, S Dasiopoulou… - Advances in Practical …, 2017 - Springer
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 …

Investigating multisensory integration in emotion recognition through bio-inspired computational models

EM Benssassi, J Ye - IEEE Transactions on Affective …, 2021 - ieeexplore.ieee.org
Emotion understanding represents a core aspect of human communication. Our social
behaviours are closely linked to expressing our emotions and understanding others' …

Speech emotion recognition with early visual cross-modal enhancement using spiking neural networks

E Mansouri-Benssassi, J Ye - 2019 International joint …, 2019 - ieeexplore.ieee.org
Speech emotion recognition (SER) is an important part of affective computing and signal
processing research areas. A number of approaches, especially deep learning techniques …

Robot and cloud-assisted multi-modal healthcare system

Y Ma, Y Zhang, J Wan, D Zhang, N Pan - Cluster Computing, 2015 - Springer
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 …