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Found 6 papers, 1 papers with code
Low-Complexity Signal Detection for the Splitting Receiver Scheme
Based on the three-dimensional (3D) received signal of the splitting receiver, we derive an equivalent two-dimensional (2D) signal model and develop a low-complexity signal detection method for the practical modulation scheme.
Splitting Receiver with Joint Envelope and Coherent Detection
This letter proposes a new splitting receiver design with joint envelope detection (ED) and coherent detection (CD).
MDFEND: Multi-domain Fake News Detection
In this paper, we first design a benchmark of fake news dataset for MFND with domain label annotated, namely Weibo21, which consists of 4, 488 fake news and 4, 640 real news from 9 different domains.
Gradual Machine Learning for Aspect-level Sentiment Analysis
The state-of-the-art solutions for Aspect-Level Sentiment Analysis (ALSA) were built on a variety of deep neural networks (DNN), whose efficacy depends on large amounts of accurately labeled training data.
Gradual Machine Learning for Entity Resolution
Using ER as a test case, we demonstrate that gradual machine learning is a promising paradigm potentially applicable to other challenging classification tasks requiring extensive labeling effort.
