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作者：Pavani, Jessica; Loschi, Rosangela H.; Quintana, Fernando A.
作者单位：University of Calgary; Universidade Federal de Minas Gerais; Pontificia Universidad Catolica de Chile
摘要：Time-dependent regionalization, or spatially restricted grouping, is a significant area of research focused on understanding the evolution of spatial clusters over time. In this study we adopt a probabilistic approach to regionalization, conceptualizing it as a random partition of geographic space at each time point, with the sequence of spatial partitions exhibiting time dependency. This methodology facilitates inference regarding the temporal dynamics of clusters. We employ a product partiti...
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作者：Oudoumanessah, Geoffroy; Coudert, Thomas; Lartizien, Carole; Dojat, Michel; Christen, Thomas; Forbes, Florence
作者单位：Communaute Universite Grenoble Alpes; Centre National de la Recherche Scientifique (CNRS); Inria; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Communaute Universite Grenoble Alpes; CHU Grenoble Alpes; Institut National de la Sante et de la Recherche Medicale (Inserm); Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS); Institut National des Sciences Appliquees de Lyon - INSA Lyon; Universite Lyon 1; Institut National de la Sante et de la Recherche Medicale (Inserm); CNRS - Institute for Engineering & Systems Sciences (INSIS)
摘要：Magnetic Resonance Fingerprinting (MRF) is an emerging technology with the potential to revolutionize radiology and medical diagnostics. In comparison to traditional magnetic resonance imaging (MRI), MRF enables the rapid, simultaneous, noninvasive acquisition and reconstruction of multiple tissue parameters, paving the way for novel diagnostic techniques. In the original matching approach, reconstruction is based on the search for the best matches between in vivo acquired signals and a dictio...
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作者：Zhang, Ningning; Zhu, Ke
作者单位：University of Hong Kong
摘要：The conditional variance, skewness, and kurtosis play a central role in time series analysis. To learn the three conditional moments (CMs), the News Impact Curve (NIC) has been widely used. Since these CMs are unobserved, their NICs are typically assumed to have certain parametric forms and then learned within a parametric model, which accounts for the dynamics of all three CMs. However, this inevitably brings two issues: the risk of model misspecification and the instability of model estimati...
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作者：Zhu, Guojun; Wang, Ruiyue; Li, Rong; Zhang, Sanguo; Ma, Shuangge; Qiao, Guanzhong; Mei, Hao
作者单位：Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Yale University; Tsinghua University; Renmin University of China
摘要：Human disease network (HDN) analysis, which jointly considers a large number of diseases and focuses on their interconnections, is getting increasingly popular and can shed important insight not possessed by individual-disease-based analysis. Multiple network analysis techniques have been developed for HDNs, although new developments are still strongly needed. In this article we adopt latent space modeling, which has proven powerful in other network analysis contexts and offers unique, insight...
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作者：Zhu, Wanchuang; Zhao, Benjamin Zi Hao; Luo, Simon; Deng, Ke
作者单位：University of Sydney; Macquarie University; University of New South Wales Sydney; Tsinghua University
摘要：While federated learning is a popular framework for distributed learning in the machine learning community that allows a global model to be trained across decentralized devices without data exchanging, it is vulnerable to Byzantine attacks where some involved devices are manipulated to poison the model training. Defending federated learning from various Byzantine attacks has been an active research topic in machine learning in recent years. This paper proposes a novel defense strategy called M...
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作者：Pavani, Jessica; Loschi, Rosangela H.; Quintana, Fernando A.
作者单位：University of Calgary; Universidade Federal de Minas Gerais; Pontificia Universidad Catolica de Chile
摘要：Time-dependent regionalization, or spatially restricted grouping, is a significant area of research focused on understanding the evolution of spatial clusters over time. In this study we adopt a probabilistic approach to regionalization, conceptualizing it as a random partition of geographic space at each time point, with the sequence of spatial partitions exhibiting time dependency. This methodology facilitates inference regarding the temporal dynamics of clusters. We employ a product partiti...
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作者：Oudoumanessah, Geoffroy; Coudert, Thomas; Lartizien, Carole; Dojat, Michel; Christen, Thomas; Forbes, Florence
作者单位：Communaute Universite Grenoble Alpes; Centre National de la Recherche Scientifique (CNRS); Inria; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Communaute Universite Grenoble Alpes; CHU Grenoble Alpes; Institut National de la Sante et de la Recherche Medicale (Inserm); Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS); Institut National des Sciences Appliquees de Lyon - INSA Lyon; Universite Lyon 1; Institut National de la Sante et de la Recherche Medicale (Inserm); CNRS - Institute for Engineering & Systems Sciences (INSIS)
摘要：Magnetic Resonance Fingerprinting (MRF) is an emerging technology with the potential to revolutionize radiology and medical diagnostics. In comparison to traditional magnetic resonance imaging (MRI), MRF enables the rapid, simultaneous, noninvasive acquisition and reconstruction of multiple tissue parameters, paving the way for novel diagnostic techniques. In the original matching approach, reconstruction is based on the search for the best matches between in vivo acquired signals and a dictio...
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作者：Zhang, Ningning; Zhu, Ke
作者单位：University of Hong Kong
摘要：The conditional variance, skewness, and kurtosis play a central role in time series analysis. To learn the three conditional moments (CMs), the News Impact Curve (NIC) has been widely used. Since these CMs are unobserved, their NICs are typically assumed to have certain parametric forms and then learned within a parametric model, which accounts for the dynamics of all three CMs. However, this inevitably brings two issues: the risk of model misspecification and the instability of model estimati...
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作者：Zhu, Guojun; Wang, Ruiyue; Li, Rong; Zhang, Sanguo; Ma, Shuangge; Qiao, Guanzhong; Mei, Hao
作者单位：Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Yale University; Tsinghua University; Renmin University of China
摘要：Human disease network (HDN) analysis, which jointly considers a large number of diseases and focuses on their interconnections, is getting increasingly popular and can shed important insight not possessed by individual-disease-based analysis. Multiple network analysis techniques have been developed for HDNs, although new developments are still strongly needed. In this article we adopt latent space modeling, which has proven powerful in other network analysis contexts and offers unique, insight...
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作者：Zhu, Wanchuang; Zhao, Benjamin Zi Hao; Luo, Simon; Deng, Ke
作者单位：University of Sydney; Macquarie University; University of New South Wales Sydney; Tsinghua University
摘要：While federated learning is a popular framework for distributed learning in the machine learning community that allows a global model to be trained across decentralized devices without data exchanging, it is vulnerable to Byzantine attacks where some involved devices are manipulated to poison the model training. Defending federated learning from various Byzantine attacks has been an active research topic in machine learning in recent years. This paper proposes a novel defense strategy called M...
