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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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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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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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Energies, 2022 The capacity limitations of distribution networks, the increasing demands for electricity installation in terms of electricity quality parameters, and the development of electromobility all increase the need to implement systems in order to stabilize and
Rafał Kuźniak +3 more
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Using CamiTK for rapid prototyping of interactive Computer Assisted Medical Intervention applications [PDF]
, 2013 Computer Assisted Medical Intervention (CAMI hereafter) is a complex multi-disciplinary field. CAMI research requires the collaboration of experts in several fields as diverse as medicine, computer science, mathematics, instrumentation, signal processing,
Bailet, Mathieu +13 more
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Prediction and Simulation of electrical and optical characteristics of an OLED based on P3BEdotBT3A organic material [PDF]
E3S Web of Conferences, 2022 The OLED “organic light-emitting diode” has been highly industrialized for several years, especially since their use in smartphones and televisions. OLEDs have attracted a lot of attention because of their desirable characteristics including their low ...
El karkri Anass +2 more
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Data in Brief, 2023 Non-Fungible Tokens (NFTs) have emerged as the most representative application of blockchain technology in recent years, fostering the development of the Web3.
Davide Costa +2 more
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