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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 ...
Ideafix: a decision tree-based method for the refinement of variants in FFPE DNA sequencing data
(Oxford University Press, 2021-12)
[EN]Increasingly, treatment decisions for cancer patients are being made from next-generation sequencing results generated from formalin-fixed and paraffin-embedded (FFPE) biopsies. However, this material is prone to ...
Embedding-based real-time change point detection with application to activity segmentation in smart home time series data
(Elsevier, 2021-12-15)
[EN]Human activity recognition systems are essential to enable many assistive applications. Those systems can be sensor-based or vision-based. When sensor-based systems are deployed in real environments, they must segment ...
Ensemble learning via feature selection and multiple transformed subsets: Application to image classification
(Elsevier, 2021-12)
[EN]In the machine learning field, especially in classification tasks, the model's design and construction are very important. Constructing the model via a limited set of features may sometimes bound the classification ...
On the use of high-order feature propagation in Graph Convolution Networks with Manifold Regularization
(Elsevier, 2022-01)
Graph Convolutional Networks (GCNs) have received a lot of attention in pattern recognition and machine learning. In this paper, we present a revisited scheme for the new method called "GCNs with Manifold Regularization" ...
Multimodal Mixed Reality Impact on a Hand Guiding Task with a Holographic Cobot
(MDPI, 2020-10-31)
In the context of industrial production, a worker that wants to program a robot using the hand-guidance technique needs that the robot is available to be programmed and not in operation. This means that production with ...
Mining Characteristic Patterns for Comparative Music Corpus Analysis
(MDPI, 2020-03-14)
A core issue of computational pattern mining is the identification of interesting patterns. When mining music corpora organized into classes of songs, patterns may be of interest because they are characteristic, describing ...
A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments
(MDPI, 2022-01-18)
Behavior modeling has multiple applications in the intelligent environment domain. It has been used in different tasks, such as the stratification of different pathologies, prediction of the user actions and activities, ...
Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms
(MDPI, 2021-12-20)
In this paper, we tackle the problem of deploying face recognition (FR) solutions in heterogeneous Internet of Things (IoT) platforms. The main challenges are the optimal deployment of deep neural networks (DNNs) in the ...
Egocentric Vision-based Action Recognition: A survey
(Elsevier, 2022-02)
[EN] The egocentric action recognition EAR field has recently increased its popularity due to the affordable and lightweight wearable cameras available nowadays such as GoPro and similars. Therefore, the amount of egocentric ...