In: Journal of Soils and Sediments, 2015, vol. 15, no. 8, p. 1716-1724
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In: Journal of Signal Processing Systems, 2015, vol. 78, no. 3, p. 299-312
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In: Bulletin of Volcanology, 2015, vol. 77, no. 2, p. 1-19
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In: Stochastic Environmental Research and Risk Assessment, 2015, vol. 29, no. 7, p. 1809-1822
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In: Frontiers in Genetics, 2020, vol. 11, p. -
Classification of histopathological images of cancer is challenging even for well- trained professionals, due to the fine-grained variability of the disease. Deep Convolutional Neural Networks (CNNs) showed great potential for classification of a number of the highly variable fine-grained objects. In this study, we introduce a Bilinear Convolutional Neural Networks (BCNNs) based deep learning...
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In: Journal of Informetrics, 2020, vol. 14, no. 3, p. 101038
Evaluating scholars’ achievements is an important problem in the science of science with applications in the evaluation of grant proposals and promotion applications. Since the number of scholars and the number of scholarly outputs grow exponentially with time, well-designed ranking metrics that have the potential to assist in these tasks are of prime importance. To rank scholars, it is...
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Thèse de doctorat : Université de Fribourg, 2020 ; no. 2192.
Nous vivons une ère où la quantité d’informations échangées augmente rapidement. Cette quantité croissante de données fait que la capacité de stocker, d’analyser et d’agir sur les informations une préoccupation principale (en plus des problèmes apparents de confidentialité, juridiques et éthiques qui y sont liés), soulevant la question : “Comment peut-on consommer des...
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In: Journal of Informetrics, 2020, vol. 14, no. 1, p. 101005
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a scientific paper or a patent. We assess 17 network-based metrics by their ability to identify milestone papers and patents in three large citation datasets. We find that traditional information-retrieval evaluation...
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In: Physics Reports, 2020, vol. 846, p. 1–66
Biological entities are involved in intricate and complex interactions, in which uncovering the biological information from the network concepts are of great significance. Benefiting from the advances of network science and high-throughput biomedical technologies, studying the biological systems from network biology has attracted much attention in recent years, and networks have long been...
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In: Physica A: Statistical Mechanics and its Applications, 2020, vol. 540, p. 123140
Interacting with each other, individuals in a population form various social network topologies. Models of evolutionary games on networks provide insight into how the collective behaviors of structured populations are influenced by individual decision making and network topologies. In a hierarchical society, many social resources are allocated according to certain social rankings, such as...
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