Stress 发表于 2025-3-28 18:36:34
http://reply.papertrans.cn/15/1487/148653/148653_41.pngHUSH 发表于 2025-3-28 21:54:15
Arrhythmias Classification by Integrating Stacked Bidirectional LSTM and Two-Dimensional CNNarieties of features from ECG and using them to build a classifier. However, ECG usually presents high inter- and intra-subjects variability both in morphology and timing, hence, it’s difficult for predesigned features to accurately depict the fluctuation patterns of each heartbeat. To this end, wemyocardium 发表于 2025-3-29 00:18:32
An Efficient and Resource-Aware Hashtag Recommendation Using Deep Neural Networkscommendation system is called HAZEL (HAshtag ZEro-shot Learning). Selecting right hashtags can increase exposure and attract more fans on a social media platform. With the help of the state-of-the-art deep learning technologies such as Convolutional Neural Network (CNN), the recognition accuracy has形上升才刺激 发表于 2025-3-29 03:40:45
Dynamic Student Classiffication on Memory Networks for Knowledge Tracingctly based on a number of previous practices and outcomes in their learning process. KT leverages machine learning and data mining techniques to provide better assessment, supportive learning feedback and adaptive instructions. In this paper, we propose a novel model called Dynamic Student ClassificComedienne 发表于 2025-3-29 10:30:04
Targeted Knowledge Transfer for Learning Traffic Signal Plansic signal control results in people’s waste of time in commuting, road rage in the traffic jam, and high cost for city operation. Recently, deep reinforcement learning (DRL) approaches shed lights to better optimize traffic signal plans according to the feedback received from the environment. Most ocritic 发表于 2025-3-29 13:08:56
Efficiently Finding High Utility-Frequent Itemsets Using Cutoff and Suffix Utility this model has been hindered by the following two limitations: (.) computational expensiveness of the model and (.) infrequent itemsets may be output as high utility itemsets. This paper makes an effort to address these two limitations. A generic high utility-frequent itemset model is introduced to愚笨 发表于 2025-3-29 15:55:54
http://reply.papertrans.cn/15/1487/148653/148653_47.png共同生活 发表于 2025-3-29 23:28:13
http://reply.papertrans.cn/15/1487/148653/148653_48.pngAbnormal 发表于 2025-3-30 01:58:51
Semi-interactive Attention Network for Answer Understanding in Reverse-QA and propose an improved structure called semi-interactive attention network (Semi-IAN). Two Chinese data sets for rQA are compiled. We evaluate several conventional text classification models for comparison, and experimental results indicate the promising performance of our proposed models.foliage 发表于 2025-3-30 04:55:15
Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Basesng KB embedding of the target entity and popularity dynamics from items with similar entity information. Extensive experiments on three real-world datasets demonstrate the effectiveness of the proposed model.