Search Results - "Buyue Qian"

A Reconstruction Error Based Framework for Multi-Label and Multi-View Learning by Buyue Qian, Xiang Wang, Jieping Ye, Davidson, Ian

“…A significant challenge to make learning techniques more suitable for general purpose use is to move beyond i) complete supervision, ii) low dimensional data,…”
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An interpretable risk prediction model for healthcare with pattern attention by Kamal, Sundreen Asad, Yin, Changchang, Qian, Buyue, Zhang, Ping

“…The availability of massive amount of data enables the possibility of clinical predictive tasks. Deep learning methods have achieved promising performance on…”
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Study on automatic detection and classification of breast nodule using deep convolutional neural network system by Wang, Feiqian, Liu, Xiaotong, Yuan, Na, Qian, Buyue, Ruan, Litao, Yin, Changchang, Jin, Ciping

“…Conventional ultrasound manual scanning and artificial diagnosis approaches in breast are considered to be operator-dependence, slight slow and error-prone. In…”
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The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence by Huang, Kai, Jiang, Zixi, Li, Yixin, Wu, Zhe, Wu, Xian, Zhu, Wu, Chen, Mingliang, Zhang, Yu, Zuo, Ke, Li, Yi, Yu, Nianzhou, Liu, Siliang, Huang, Xing, Su, Juan, Yin, Mingzhu, Qian, Buyue, Wang, Xianggui, Chen, Xiang, Zhao, Shuang

“…Background: Skin and subcutaneous disease is the fourth-leading cause of the nonfatal disease burden worldwide and constitutes one of the most common burdens…”
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Stacked Residual Recurrent Neural Networks with Cross-Layer Attention for Text Classification by Lan, Yangyang, Hao, Yazhou, Xia, Kui, Qian, Buyue, Li, Chen

“…Text classification is a fundamental task in natural language processing and is essential for many tasks like sentiment analysis and question classification…”
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Learning Multiple Relative Attributes With Humans in the Loop by Buyue Qian, Xiang Wang, Nan Cao, Yu-Gang Jiang, Davidson, Ian

“…Semantic attributes have been recognized as a more spontaneous manner to describe and annotate image content. It is widely accepted that image annotation using…”
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On constrained spectral clustering and its applications by Wang, Xiang, Qian, Buyue, Davidson, Ian

“…Constrained clustering has been well-studied for algorithms such as K -means and hierarchical clustering. However, how to satisfy many constraints in these…”
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Deep Similarity-Based Batch Mode Active Learning with Exploration-Exploitation by Changchang Yin, Buyue Qian, Shilei Cao, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Davidson, Ian

“…Active learning aims to reduce manual labeling efforts by proactively selecting the most informative unlabeled instances to query. In real-world scenarios,…”
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A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification by Song, Lingyun, Liu, Jun, Qian, Buyue, Sun, Mingxuan, Yang, Kuan, Sun, Meng, Abbas, Samar

“…Deep convolutional neural networks (CNNs) have shown superior performance on the task of single-label image classification. However, the applicability of CNNs…”
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Using cross-domain knowledge augmentation to explore comorbidity in electronic health records data by Zhang, Kaiyuan, Qian, Buyue, Zhang, Xiyuan, Zheng, Qinghua

“…Research concentrating on specific diseases or employing single datasets, such as medical histories and thematic data, has garnered considerable attention…”
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Identifying suspicious groups of affiliated-transaction-based tax evasion in big data by Ruan, Jianfei, Yan, Zheng, Dong, Bo, Zheng, Qinghua, Qian, Buyue

“…•A hybrid method for detecting affiliated transaction-based tax evasion.•The method relies on both structural and business characteristics of…”
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Marrying Medical Domain Knowledge With Deep Learning on Electronic Health Records: A Deep Visual Analytics Approach by Li, Rui, Yin, Changchang, Yang, Samuel, Qian, Buyue, Zhang, Ping

“…Deep learning models have attracted significant interest from health care researchers during the last few decades. There have been many studies that apply deep…”
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Scalable Constrained Spectral Clustering via the Randomized Projected Power Method by Weifeng Zhi, Buyue Qian, Davidson, Ian

“…Constrained spectral clustering is an important area with many applications. However, most previous work has only been applied to relatively small data sets:…”
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Improving rail network velocity: A machine learning approach to predictive maintenance by Li, Hongfei, Parikh, Dhaivat, He, Qing, Qian, Buyue, Li, Zhiguo, Fang, Dongping, Hampapur, Arun

“…•Develop innovative machine-learning techniques for railway predictive maintenance.•Address big data challenges coming from large and complex multi-detector…”
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Context-Aware and Time-Aware Attention-Based Model for Disease Risk Prediction With Interpretability by Zhang, Xianli, Qian, Buyue, Li, Yang, Cao, Shilei, Davidson, Ian

“…Thanks to the huge accumulation of Electronic Health Records (EHRs), numerous deep learning based predictive models were proposed for this task. Among them,…”
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Fast Pairwise Query Selection for Large-Scale Active Learning to Rank by Buyue Qian, Xiang Wang, Jun Wang, Hongfei Li, Nan Cao, Weifeng Zhi, Davidson, Ian

“…Pair wise learning to rank algorithms (such as Rank SVM) teach a machine how to rank objects given a collection of ordered object pairs. However, their…”
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Exploring Patient Risk Groups with Incomplete Knowledge by Wang, Xiang, Wang, Fei, Wang, Jun, Qian, Buyue, Hu, Jianying

“…Patient risk stratification, which aims to stratify a patient cohort into a set of homogeneous groups according to some risk evaluation criteria, is an…”
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Sparse Relational Topical Coding on multi-modal data by Song, Lingyun, Liu, Jun, Luo, Minnan, Qian, Buyue, Yang, Kuan

“…•A novel non-probabilistic relational topic model is proposed for modeling both multi-modal documents and the links between them.•Sparse latent representations…”
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Knowledge Guided Short-Text Classification for Healthcare Applications by Shilei Cao, Buyue Qian, Changchang Yin, Xiaoyu Li, Jishang Wei, Qinghua Zheng, Davidson, Ian

“…The need for short-text classification arises in many text mining applications particularly health care applications. In such applications shorter texts mean…”
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A relative similarity based method for interactive patient risk prediction by Qian, Buyue, Wang, Xiang, Cao, Nan, Li, Hongfei, Jiang, Yu-Gang

“…This paper investigates the patient risk prediction problem in the context of active learning with relative similarities. Active learning has been extensively…”
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