A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
Abstract Machine learning (ML) and deep learning (DL) have enabled algorithms to
autonomously acquire knowledge from data, facilitating predictive and decision-making …
autonomously acquire knowledge from data, facilitating predictive and decision-making …
The multimodal brain tumor image segmentation benchmark (BRATS)
In this paper we report the set-up and results of the Multimodal Brain Tumor Image
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and …
Learning a no-reference quality metric for single-image super-resolution
Numerous single-image super-resolution algorithms have been proposed in the literature,
but few studies address the problem of performance evaluation based on visual perception …
but few studies address the problem of performance evaluation based on visual perception …
Virtual, digital and hybrid twins: a new paradigm in data-based engineering and engineered data
Engineering is evolving in the same way than society is doing. Nowadays, data is acquiring
a prominence never imagined. In the past, in the domain of materials, processes and …
a prominence never imagined. In the past, in the domain of materials, processes and …
A survey of MRI-based medical image analysis for brain tumor studies
MRI-based medical image analysis for brain tumor studies is gaining attention in recent
times due to an increased need for efficient and objective evaluation of large amounts of …
times due to an increased need for efficient and objective evaluation of large amounts of …
Random forests for real time 3d face analysis
We present a random forest-based framework for real time head pose estimation from depth
images and extend it to localize a set of facial features in 3D. Our algorithm takes a voting …
images and extend it to localize a set of facial features in 3D. Our algorithm takes a voting …
Hobbit, a care robot supporting independent living at home: First prototype and lessons learned
One option to address the challenge of demographic transition is to build robots that enable
aging in place. Falling has been identified as the most relevant factor to cause a move to a …
aging in place. Falling has been identified as the most relevant factor to cause a move to a …
[책][B] Modern algorithms of cluster analysis
ST Wierzchoń, MA Kłopotek - 2018 - Springer
This chapter characterises the scope of this book. It explains the reasons why one should be
interested in cluster analysis, lists major application areas, basic theoretical and practical …
interested in cluster analysis, lists major application areas, basic theoretical and practical …
Car that knows before you do: Anticipating maneuvers via learning temporal driving models
Abstract Advanced Driver Assistance Systems (ADAS) have made driving safer over the last
decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a …
decade. They prepare vehicles for unsafe road conditions and alert drivers if they perform a …
Optimal Symmetric Multimodal Templates and Concatenated Random Forests for Supervised Brain Tumor Segmentation (Simplified) with ANTsR
Segmenting and quantifying gliomas from MRI is an important task for diagnosis, planning
intervention, and for tracking tumor changes over time. However, this task is complicated by …
intervention, and for tracking tumor changes over time. However, this task is complicated by …