MssNet: An Efficient Spatial Attention Model for Early Recognition of Alzheimer's Disease [0.03%]
MssNet：一种有效的空间注意模型，用于阿尔茨海默病的早期识别
Jiayu Ye,Dan Pan,An Zeng et al.
Jiayu Ye et al.
Deep learning models are widely used in medical image-guided disease recognition and have achieved outstanding performance. Voxel-based models are typically the default choice for deep learning-based MRI analysis, which require high computa...
Optimisation of Non-Pharmaceutical Measures in COVID-19 Growth via Neural Networks [0.03%]
基于神经网络优化新冠肺炎增长期的非药物干预措施
Annalisa Riccardi,Jessica Gemignani,Francisco Fernandez-Navarro et al.
Annalisa Riccardi et al.
On [Formula: see text] March, the World Health Organisation declared a pandemic. Through this global spread, many nations have witnessed exponential growth of confirmed cases brought under control by severe mass quarantine or lockdown measu...
ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data [0.03%]
基于自适应分布模型的协作聚类方法（ADCoC）：从神经影像数据中解析疾病异质性
Hangfan Liu,Michel J Grothe,Tanweer Rashid et al.
Hangfan Liu et al.
Conventional clustering techniques for neuroimaging applications usually focus on capturing differences between given subjects, while neglecting arising differences between features and the potential bias caused by degraded data quality. In...
Quantifying Mobility and Mixing Propensity in the Spatiotemporal Context of a Pandemic Spread [0.03%]
量化疫情空间时间背景下的人口流动和聚集倾向
Satyaki Roy,Preetom Biswas,Preetam Ghosh
Satyaki Roy
COVID-19 is the most acute global public health crisis of this century. Current trends in the global infected and death numbers suggest that human mobility leading to high social mixing are key players in infection spread, making it imperat...
A System-Driven Taxonomy of Attacks and Defenses in Adversarial Machine Learning [0.03%]
基于系统的对抗机器学习攻击与防御分类法
Koosha Sadeghi,Ayan Banerjee,Sandeep K S Gupta
Koosha Sadeghi
Machine Learning (ML) algorithms, specifically supervised learning, are widely used in modern real-world applications, which utilize Computational Intelligence (CI) as their core technology, such as autonomous vehicles, assistive robots, an...