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19 papers · 1 filter
The choice of scaling technique matters for classification performance
Lucas B. V. de Amorim, George D. C. Cavalcanti, Rafael M. O. Cruz
Dataset scaling, also known as normalization, is an essential preprocessing step in a machine learning pipeline. It is aimed at adjusting attributes scales in a way that they all v…
Multidimensional analysis using sensor arrays with deep learning for high-precision and high-accuracy diagnosis
Julie Payette, Sylvain G. Cloutier, Fabrice Vaussenat
In the upcoming years, artificial intelligence (AI) is going to transform the practice of medicine in most of its specialties. Deep learning can help achieve better and earlier pro…
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong lu, Jiali Li +5
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in each domain is driven by a growing body of annotated data, increased computational re…
An Approach to Build Consistent Software Architecture Diagrams Using Devops System Descriptors
Jalves Nicacio, Fabio Petrillo
System architecture diagrams play an essential role in understanding system architecture. They encourage more active discussion among participants and make it easier to recall syst…
Opportunities for Intelligent Reflecting Surfaces in 6G-Empowered V2X Communications
Wali Ullah Khan, Asad Mahmood, Arash Bozorgchenani +7
This paper first describes the introduction of 6G-empowered V2X communications and IRS technology. Then it discusses different use case scenarios of IRS enabled V2X communications…
Gaze Estimation Approach Using Deep Differential Residual Network
Longzhao Huang, Yujie Li, Xu Wang +3
Gaze estimation, which is a method to determine where a person is looking at given the person's full face, is a valuable clue for understanding human intention. Similarly to other…