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Skin lesion computational diagnosis of dermoscopic images: Ensemble models based on input feature manipulation
(Elsevier B.V., 2017-10-01)
Background and objectives: The number of deaths worldwide due to melanoma has risen in recent times, in part because melanoma is the most aggressive type of skin cancer. Computational systems have been developed to assist ...
Exploring efficient analysis alternatives on feature models
(Association for Computing Machinery, 2017)
Do #ifdef-based Variation Points Realize Feature Model Constraints?
(ACM, 2015-11)
Two mechanisms widely used in the Software Product Lines (SPL) Engineering are the feature model and the conditional compilation. The former models the variability in the problem space and the latter realizes it in the ...
Reviewing Diagnosis Solutions for Valid Product Configurations in the Automated Analysis of Feature Models
(2019)
A Feature Model (FM) is an information model to represent commonalities and variabilities for all the products of a Software Product Line (SPL). The complexity and big size of real feature models makes their manual analysis ...
A Depth Video-based Human Detection and Activity Recognition using Multi-features and Embedded Hidden Markov Models for Health Care Monitoring Systems
Increase in number of elderly people who are living independently needs especial care in the form of healthcare monitoring systems. Recent advancements in depth video technologies have made human activity recognition (HAR) ...
A Feature Extraction Method Based on Feature Fusion and its Application in the Text-Driven Failure Diagnosis Field
As a basic task in NLP (Natural Language Processing), feature extraction directly determines the quality of text clustering and text classification. However, the commonly used TF-IDF (Term Frequency & Inverse Document ...
Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery
(Nature Publishing Group, 2017-05-25)
Quantitative structure–activity relationship modeling using machine learning techniques constitutes a complex computational problem, where the identification of the most informative molecular descriptors for predicting a ...