Publicatii recente
Publicatii recente
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Detecting Communities in Networks: a Decentralized Approach Based on Multiagent Reinforcement Learning (2020)
Abstract An important problem in network science is finding relevant community structures in complex networks. A community structure is a partition of the network nodes into clusters or modules, such […]
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AutoPPI: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction (2021)
Abstract Proteins are essential molecules, that must correctly perform their roles for the good health of living organisms. The majority of proteins operate in complexes and the way they interact […]
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Autonomous on-wrist acceleration-based fall detection systems: unsolved challenges (2021)
Abstract Fall detection (FD) has been the focus of many research studies during the last years. Developing reliable FD systems is relevant, for instance, to provide support to the elderly […]
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Stochastic remote neighborhoods control GrowCut’s segmentation semantics (2020)
Citare Marginean, R., Andreica, A., Diosan, L., Bálint, Z., Stochastic remote neighborhoods control GrowCut’s segmentation semanticsMECO45 45th Conference of the Middle European Cooperation in Statistical Physics , 2020
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Developing Smart Edutainment for Preschoolers. A Multidisciplinary Approach (2020)
Abstract Education has suffered multiple changes due to technological progress. Even though the current generation of preschoolers (aged 3 to 6 years in our country) is called digital native, there […]
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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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