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Computational Models in Electroencephalography [PDF]
Brain Topography, 2021 AbstractComputational models lie at the intersection of basic neuroscience and healthcare applications because they allow researchers to test hypotheses in silico and predict the outcome of experiments and interactions that are very hard to test in reality.
Katharina Glomb +5 more
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Cardiac computational modelling
Revista Española de Cardiología (English Edition), 2021 Cardiovascular diseases currently have a major social and economic impact, constituting one of the leading causes of mortality and morbidity. Personalized computational models of the heart are demonstrating their usefulness both to help understand the mechanisms underlying cardiac disease, and to optimize their treatment and predict the patient's ...
Bragard, Jean R. +8 more
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Computational Modeling: Human Dynamic Model [PDF]
Frontiers in Neurorobotics, 2020 Improvements in quantitative measurements of human physical activity are proving extraordinarily useful for studying the underlying musculoskeletal system. Dynamic models of human movement support clinical efforts to analyze, rehabilitate injuries.
Lijia Liu +3 more
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Co-MLHAN: contrastive learning for multilayer heterogeneous attributed networks
Applied Network Science, 2022 Graph representation learning has become a topic of great interest and many works focus on the generation of high-level, task-independent node embeddings for complex networks. However, the existing methods consider only few aspects of networks at a time.
Liliana Martirano +2 more
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Understanding the growth of the Fediverse through the lens of Mastodon
Applied Network Science, 2021 Open-source, Decentralized Online Social Networks (DOSNs) are emerging as alternatives to the popular yet centralized and profit-driven platforms like Facebook or Twitter.
Lucio La Cava +2 more
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A Novel Imbalanced Ensemble Learning in Software Defect Predication
IEEE Access, 2021 With the availability of high-speed Internet and the advent of Internet of Things devices, modern software systems are growing in both size and complexity. Software defect prediction (SDP) guarantees the high quality of such complex systems. However, the
Jianming Zheng +4 more
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Spatial Domain Indirect Holography for a Full Phaseless Approach to Biomedical Microwave Imaging
IEEE Open Journal of Antennas and Propagation, 2022 Microwave imaging approaches generally require the knowledge of the complex incident field distribution inside the imaging domain. This task can be accomplished by probing the observation domain, thus resulting in a time-consuming process, or assuming a ...
Sandra Costanzo +2 more
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Advanced Engineering Research, 2020 Introduction. Modeling serves as a methodological basis for modern science and a tool for cognitive activity. It can be considered as a thinking activity mediated and optimized through information models. In this case, logical operations of cognition and
M. V. Yadrovskaya
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Graph convolutional and attention models for entity classification in multilayer networks
Applied Network Science, 2021 Graph Neural Networks (GNNs) are powerful tools that are nowadays reaching state of the art performances in a plethora of different tasks such as node classification, link prediction and graph classification.
Lorenzo Zangari +3 more
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Sculpting Computational‐Level Models [PDF]
Topics in Cognitive Science, 2017 AbstractIn this commentary, I advocate for strict relations between Marr's levels of analysis. Under a strict relationship, each level is exactly implemented by the subordinate level. This yields two benefits. First, it brings consistency for multilevel explanations.
Blokpoel, M., Blokpoel, M.
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