Lately, many scientists have focused their research on subjects like smart buildings, sensor
devices, virtual sensing, buildings management, Internet of Things (IoT), artificial intelligence …

There are many issues regarding datasets classification. One such issue is class imbalance
classification, which often occurs with extreme skewness across many real-world domains …

处理不平衡数据分类时, 传统支持向量机技术(SVM) 对少数类样本识别率较低. 鉴于SVM+
技术能利用样本间隐藏信息的启发, 提出了多任务学习的不平衡SVM+ 算法(MTL IC SVM+) …

The main challenge of data mining approaches to detect fraud in financial transaction data is
the imbalance of data classes in available datasets, with a much smaller fraud class …

The non-specificity of affective symptoms between asthma and chronic obstructive
pulmonary disease is a key challenge in medical practice. This is even more complicated …

Le travail de recherche, comme tout autre travail, nécessite de la motivation pour être
accompli d'une manière optimale. Pendant mes années de thèse j'ai été motivé, et ce grâce …