Results 11 to 20 of about 5,483,449 (298)
Recurrent Convolutional Neural Network for Sequential Recommendation
The World Wide Web Conference, 2019 The sequential recommendation, which models sequential behavioral patterns among users for the recommendation, plays a critical role in recommender systems. However, the state-of-the-art Recurrent Neural Networks (RNN) solutions rarely consider the non-linear feature interactions and non-monotone short-term sequential patterns, which are essential for ...
Chengfeng Xu +7 more
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Hypergraph Convolutional Recurrent Neural Network
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020 In this study, we present a hypergraph convolutional recurrent neural network (HGC-RNN), which is a prediction model for structured time-series sensor network data. Representing sensor networks in a graph structure is useful for expressing structural relationships among sensors.
Jaehyuk Yi, Jinkyoo Park
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Convolutional recurrent neural networks for music classification [PDF]
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 5 pages, ICASSP 2017 submitted.
Keunwoo Choi +3 more
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ECG Classification With a Convolutional Recurrent Neural Network
Computing in Cardiology Conference (CinC), 2020 4 pages, 3 figures, presented at Computing in Cardiology 2020, under review for conference ...
Halla Sigurthorsdottir +3 more
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IEEE Access, 2020 In this paper, ultrasound imaging of benign and malignant thyroid nodules to predict the depth of the learning algorithm, built on circulation volume product thyroid ultrasound image neural network forecasting model.
Yinghui Lu, Yi Yang, Wan Chen
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Solution of Text Title Selection Based on Neural Network [PDF]
Jisuanji gongcheng, 2018 To choose the most appropriate answer from the waiting list as the title of the article,this paper proposes a model which is based on Convolutional Neural Network(CNN) and Recurrent Neural Network(RNN).The model contains the characteristics of extracting
Lü Guoying,GUAN Yong,LI Ru,GUO Shaoru,TAN Hongye
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Deep Learning for Recognition of Digital Modulations: A Detailed Study [PDF]
AUT Journal of Electrical Engineering, 2022 The automatic modulation recognition of the received signal is very attractive in both military and civilian applications. In the recent years, deep learning techniques have received much attention due to their excellent performance in signal, audio ...
MohammadMohsen Jadidi, Abbas Mohammadi
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Convolutional Recurrent Neural Networks for Glucose Prediction [PDF]
IEEE Journal of Biomedical and Health Informatics, 2020 Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with Type 1 diabetes mellitus (T1DM) such as the artificial pancreas and insulin bolus calculators leverage machine learning techniques for predicting subcutaneous glucose for improved control.
Kezhi Li +4 more
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Sentiment analysis of Indonesian reviews using fine-tuning IndoBERT and R-CNN
Ilkom Jurnal Ilmiah, 2022 Reviews are a form of user experience information on a product or service that can be used as a reference for potential consumers’ preferences to buy, use, or consume a product.
Herlina Jayadianti +5 more
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Convolutional Neural Networks with Recurrent Neural Filters [PDF]
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018 Accepted by EMNLP 2018 as a short ...
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