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Haute Ecole de Gestion & Tourisme

Interactive web interface for the configuration of imaging and patient data anonymization

Viriot, Audrey ; Depeursinge, Adrien (Dir.)

Mémoire de bachelor : Haute Ecole de Gestion & Tourisme, 2020.

Karnak is a tool with normalization and de-identification capabilities for medical images in DICOM format. It is used in medical research in order to anonymize all information that can be sensitive. Algorithms of normalization and de-identification are under development by the Karnak team, but no user interface exists. Karnak is destined to be in a research pipeline. The purpose of this...

Università della Svizzera italiana

Consumer acceptance of the energy transition in Switzerland : the role of attitudes explained through a hybrid discrete choice model

Motz, Alessandra

In: Energy policy, 2021, vol. 151, no. April, p. 15 p

While several countries progress in the energy transition, the social acceptance of new infrastructures becomes increasingly important. We focus on market acceptance, and study the preferences of Swiss households with respect to selected energy sources used for electricity generation. By applying a hybrid discrete choice model with latent variables on stated preference data, we assess...

Haute école de gestion de Genève

Performing an opportunity and feasibility assessment for social enterprises to offer new services based on the circular economy

Erdenebulgan, Saikhanbayar ; Willson, Philip Edmund (Dir.)

Mémoire de bachelor : Haute école de gestion de Genève, 2020 ; TDIBM 102.

Global warming and environmental disasters are threatening the existence of humanity and businesses. As a result, many organizations and governments seek to reduce their harmful effects. They are trying to change the economic paradigm and pay more attention to social inequalities. Thus, the circular economy is a new model of an economy that can create this change. More and more businesses are...

Université de Fribourg

Unsupervised and Parameter-Free Clustering of Large Graphs for Knowledge Exploration and Recommendation

Lutov, Artem ; Cudré-Mauroux, Philippe (Dir.)

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...

Université de Fribourg

Multiscale community estimation based on temporary local balancing strategy

Zhou, Qiang ; Cai, Shi-Min ; Zhang, Yi-Cheng

In: International Journal of Modern Physics C, 2020, vol. 31, no. 04, p. 2050056

Community division in complex networks has become one of the hot topics in the field of network science. Most of the methods developed based on network topology ignore the dynamic characteristics underlying the structure. By exploring the diffusion process in the network based on random walk, this paper sums up the general rule with temporal characteristics as a temporary local balancing...

Université de Fribourg

Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data

Xu, Shuqi ; Mariani, Manuel Sebastian ; Lü, Linyuan ; Medo, Matúš

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...

Université de Fribourg

Computational network biology: Data, models, and applications

Liu, Chuang ; Ma, Yifang ; Zhao, Jing ; Nussinov, Ruth ; Zhang, Yi-Cheng ; Cheng, Feixiong ; Zhang, Zi-Ke

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...

Université de Fribourg

Ranking game on networks: The evolution of hierarchical society

Zhang, Xin-Jie ; Tanga, Yong ; Xiong, Jason ; Wang, Wei-Jia ; Zhang, Yi-Cheng

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...

Université de Fribourg

Parallel heuristic community detection method based on node similarity

Zhou, Qiang ; Cai, Shi-Min ; Zhang, Yi-Cheng

In: IEEE Access, 2019, vol. 7, p. 184145–184159

Community structure discovery can help us better understand the capabilities and functions of the network. However, many existing methods have failed to identify nodes in communities accurately. In this paper, we proposed a heuristic community detection method based on node similarities that are computed by assigning different edge weight influence factors based on different neighbor types of...