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Found 5 papers, 2 papers with code
Autosen: improving automatic wifi human sensing through cross-modal autoencoder
AutoSen establishes a direct link between amplitude and phase through automated cross-modal autoencoder learning.
Identification of urinary biomarkers of food intake for onion by untargeted LC-MS metabolomics
Scope: Biomarkers of food intake (BFIs) are useful tools for objective assessment of food intake and compliance.
Credible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images
Based on this uncertainty, a novel decision-level fusion strategy is proposed to ensure that the view with lower risk obtains more weight, making the classification more credible.
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu
In this work, we present JIZHI - a Model-as-a-Service system - that per second handles hundreds of millions of online inference requests to huge deep models with more than trillions of sparse parameters, for over twenty real-time recommendation services at Baidu, Inc.
Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach
This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework.
BIG-bench Machine Learning
Physics-informed machine learning
