...Ibtissam Amalou; Oumaima Anzal; Naoual Mouhni; Abdelmounaim Abdali Purpose This paper’s purpose is to enhance multivariate time series forecasting accuracy by introducing a novel preprocessing step: leveraging advanced image deep learning denoising models via a transfer learning approach. We...

... assumed that the amount of unlabeled data is much larger than that of labeled data. Therefore, the goal of SSL is to allow the model to utilize the unlabeled data, thereby alleviating the need for a large amount of labeled data. This includes transfer learning. The essence of transfer learning...

... and contextual semantic representation-based clickbait detection approach employing transfer learning. This method can modify the semantic representation of each word based on context and assist the model in more precisely interpreting the original meaning of news articles. As indicated in Figure 2...

... social media played during the Hirak. Results revealed that most individuals had a positive attitude toward the Hirak. Moreover, the presented experiments provided important insights into the possible use of both basic machine learning and transfer learning models to analyze SA of Algerian text datasets...

... Transfer learning Pretraining Domain wordpiece tokens Joint extraction model Scientific data Bert-CRF model Text mining In the era of big data, the exponential growth of scientific data raises severe challenges to the traditional utilization of scientific data. The “labor-intensive” research...

...Chanattra Ammatmanee; Lu Gan Purpose Because of the fast-growing digital image collections on online platforms and the transfer learning ability of deep learning technology, image classification could be improved and implemented for the hostel domain, which has complex clusters of image contents...

... classifying the lesions as melanoma and non-melanoma. Design/methodology/approach In this work, a transfer learning (TL) framework Transfer Constituent Support Vector Machine (TrCSVM) is designed for melanoma classification based on feature-based domain adaptation (FBDA) leveraging the support vector...