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Efficient multi-task based facial landmark and gesture detection in monocular images
(SciTePress, Science and Technology Publications, Lda, 2021)
[EN] The communication between persons includes several channels to exchange information between individuals.
The non-verbal communication contains valuable information about the context of the conversation and it is
a ...
On-demand serverless video surveillance with optimal deployment of deep neural networks
(SciTePress, Science and Technology Publications, Lda, 2021)
[EN] We present an approach to optimally deploy Deep Neural Networks (DNNs) in serverless cloud architectures.
A serverless architecture allows running code in response to events, automatically managing the required
computing ...
Transfer learning in hierarchical dialogue topic classification with neural networks
(IEEE, 2020-09-28)
Knowledge transfer between tasks can significantly improve the efficiency of machine learning algorithms. In supervised natural language understanding problems, this sort of improvement is critical since the availability ...
Speech emotion recognition in Spanish TV Debates
(ISCA, 2022)
Emotion recognition from speech is an active field of study that can help build more natural human-machine interaction systems. Even though the advancement of deep learning technology has brought improvements in this task, ...
Multimodal feature evaluation and fusion for emotional well-being monitorization
(Springer, 2022-04-26)
Mental health is a global issue that plays an important roll in the overall well-being of a person. Because of this, it is important to preserve it, and conversational systems have proven to be helpful in this task. This ...
Mental Health Monitoring from Speech and Language
(ISCA, 2022)
Concern for mental health has increased in the last years due to its impact in people life quality and its consequential effect on healthcare systems. Automatic systems that can help in the diagnosis, symptom monitoring, ...
Characterising the rankings produced by combinatorial optimisation problems and finding their intersections.
(Association for Computing Machinery, 2019-07)
[EN] The aim of this paper is to introduce the concept of intersection between combinatorial optimisation problems. We take into account that most algorithms, in their machinery, do not consider the exact objective function ...