Publicatii recente
Publicatii recente
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Interval-state cellular automata and their applications to image segmentation (2017)
Abstract We present a new type of optimization algorithms, adapted for neural network training. These algorithms are based upon sequential operator splitting technique for some associated dynamical systems. Furthermore, we […]
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Evolutionary curriculum learning approach for transferable cellular automata rule optimization (2020)
Abstract This paper proposes a novel method for supervised optimization of cellular automata rules using curriculum learning. The optimized edge detector manages to generalize a rule from synthetic data that […]
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A Step Towards Preschoolers’ Satisfaction Assessment Support by Facial Expression Emotions Identification (2020)
Abstract Children of nowadays grow in a digital landscape, so education has embraced the advantages brought by the multimedia technology progress. Appropriate interactive learning experiences positively influence learners’ performance. However, […]
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Robustness analysis of transferable cellular automata rules optimized for edge detection (2020)
Abstract Edge detection is an important component in many computer vision tasks since edges convey information about the objects in an image. This paper presents a comparative analysis of the […]
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Initial validation of an automatic algorithm for whole heart segmentation from cardiac MRI images using atrial volume determination (2020)
Citare Mărginean, R., Manole, S., Popa, L., Coman, M., Pop, S., Budurea, C., Andreica, A., Dioşan, L., Bálint, Z., Initial validation of an automatic algorithm for whole heart segmentation from […]
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An initial study of feature extraction’s methods in facial expression recognition (2019)
Abstract Facial Expression Recognition is a sub-branch of Affective Computing that specializes in extracting human emotions and facial features from visual input (images and videos) and tagging them to specific […]
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A Transfer Learning Approach on the Optimization of Edge Detectors for Medical Images Using Particle Swarm Optimization (2021)
Abstract Edge detection is a fundamental image analysis task, as it provides insight on the content of an image. There are weaknesses in some of the edge detectors developed until […]
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Region-of-Interest-Based Cardiac Image Segmentation with Deep Learning (2021)
Abstract Despite the promising results obtained by deep learning methods in the field of medical image segmentation, lack of sufficient data always hinders performance to a certain degree. In this […]
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Feasibility of Automatic Seed Generation Applied to Cardiac MRI Image Analysis (2020)
Abstract We present a method of using interactive image segmentation algorithms to reduce specific image segmentation problems to the task of finding small sets of pixels identifying the regions of […]
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Butterfly Effect in Chaotic Image Segmentation (2020)
Abstract The exploitation of the important features exhibited by the complex systems found in the surrounding natural and artificial space will improve computational model performance. Therefore, the purpose of the […]
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