The triage notes were in the form of semi-structured free text written either by the ambulance personnel or triage nurse in the emergency department, typically one to three sentences regarding the primary complaint, mechanism of injury and brief patient history. The model was then tasked to ...
To overcome the aforementioned challenges, we apply Deep Reinforcement Learning (DRL) to the problem of weakly-supervised anomaly detection in business process data. The proposed DRL approach is designed to exploit the small set of labeled anomalous data and explore the large set of unlabeled data,...
Metastatic brain tumors represent the most prevalent form of intracranial malignancies [1]. Brain metastases manifest in approximately 20–40% of individuals diagnosed with cancer [2, 3]. While any tumor has the potential to spread to the brain, the predominant types include lung cancer, breast ...
The GAN model significantly improved an AUC value greater than 0.65, but the traditional augmentation techniques like the synthetic minority oversampling technique (SMOTE) and random oversampling (RO) achieved less than 0.65. The major related work in the literature carries the traditional GAN ...
Moreover, regardless of the method used to counter the effects of class imbalance problems, we observed that Random Forest showed the best performance in terms of AUC. Fig. 2 ROC curves of machine learning methods with different methods tackling data imbalance; A. ADASYN; B. SMOTE_NC; C. ...
The alert eye of the volatile Richard Giddings swept down the New Haven dispatch like lightning. 多变的理查德-吉丁斯警觉的目光闪电般扫过纽黑文的报道。 With a grievous outcry he smote the table and shouted: 他愤怒地拍着桌子喊道: “Collins out of the game? Great Scott, Harry, that’s awful...
Furthermore, AI's predictive analytics can foresee potential vulnerabilities before they are exploited, offering a proactive form of security rather than a reactive one. In essence, AI empowers cybersecurity with advanced analytical tools, making it an indispensable ally in the battle against ...
usually in the form of a black-and-white block matrix, where black blocks represent pairs of moments with high similarity, and white blocks represent pairs of moments with low similarity, as shown in Fig.9[103]. RP can be used to discover important information such as periodic patterns, sim...
Moreover, to eliminate the potential problem of class imbalance, a hybrid technique of over-sampling and under-sampling via the SMOTE algorithm was adopted to overcome the issue. For continuous variables, results were expressed as mean ± standard deviation. The student t-test or Wilcoxon ...
. Multi-sample data augmentation applies to the formation of new samples using multiple samples, such as Mixup [28], SMOTE [29], and SamplePairing [30]. Unsupervised data augmentation includes two types. The first one is represented by Generative Adversarial Network (GAN) [31], which randomly...