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Automatic playlist generation using Convolutional Neural Networks and Recurrent Neural Networks
2019 27th European Signal Processing Conference (EUSIPCO), 2019Nowadays, a great part of music consumption on music streaming services are based on playlists. Playlists are still mainly manually generated by expert curators, or users, process that in several cases is not a feasible with huge amount of music to deal with. There is the need of effective automatic playlist generation techniques.
Irene R. T. +4 more
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Intrusion Detection Using Convolutional Recurrent Neural Network
Proceedings of the 2019 8th International Conference on Computing and Pattern Recognition, 2019There are two main problems in the current abnormal network traffic monitoring methods: feature dependence and low accuracy. To solve these problems, we propose a novel deep learning model OCL based on network traffic in this paper. Our OCL model consists of one-dimensional convolutional neural network and long short-term memory.
Tongtong Su, Huazhi Sun, Sheng Wang
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Convolutional neural networks for prostate cancer recurrence prediction
SPIE Proceedings, 2017Accurate prediction of the treatment outcome is important for cancer treatment planning. We present an approach to predict prostate cancer (PCa) recurrence after radical prostatectomy using tissue images. We used a cohort whose case vs. control (recurrent vs. non-recurrent) status had been determined using post-treatment follow up.
Neeraj Kumar 0002 +6 more
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Combination of Convolutional and Recurrent Neural Networks for Heartbeat Classification
2020Electrocardiogram (ECG) plays an essential role in the medical field, it records the electrical activity of the heart over time and provides information about the heart condition. Hence, the cardiologist uses it to detect the abnormalities of the heart and to diagnose the heart diseases. Convolutional Neural Networks (CNNs) have proven their ability in
Abdelrahman M. Shaker +3 more
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Benchmarking Convolutional and Recurrent Neural Networks for Malware Classification
2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC), 2019Malware detection and classification are attracting more research nowadays due to the increasing number of malware and ransomware instances targeting financial, educational and industrial systems. In artificial intelligence, we witness a resurgence of neural networks against the symbolic school which is manifested by many breakthroughs in gaming, image
Haïdar Safa +2 more
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Rumor Detection with Hierarchical Recurrent Convolutional Neural Network
2019Automatic rumor detection for events on online social media has attracted considerable attention in recent years. Usually, the events on social media are divided into several time segments, and for each segment, corresponding text will be converted as vectors for various neural network models to detect rumors.
Xiang Lin +4 more
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Direction Finding Using Convolutional Neural Networks and Convolutional Recurrent Neural Networks
2020 28th Signal Processing and Communications Applications Conference (SIU), 2020Fehmi Ayberk Uçkun +3 more
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