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Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges
When 5G began its commercialisation journey around 2020, the discussion on the vision of 6G also surfaced.
Real-time Bidding campaigns optimization using attribute selection
In contrast, the objective of our research consists of optimising RTB campaigns by finding out configurations that maximise both the number of impressions and their average profitability.
ZeLiC and ZeChipC: Time Series Interpolation Methods for Lebesgue or Event-based Sampling
Although the interpolation methods for periodic sampling have been a topic of research for a long time, there is a lack of study in methods capable of taking advantage of the Lebesgue sampling characteristics to reconstruct time series more accurately.
EVE: Explainable Vector Based Embedding Technique Using Wikipedia
We present an unsupervised explainable word embedding technique, called EVE, which is built upon the structure of Wikipedia.
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