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- research-articleMarch 2024
Network traffic matrix prediction with incomplete data via masked matrix modeling
Information Sciences: an International Journal (ISCI), Volume 657, Issue CFeb 2024https://doi.org/10.1016/j.ins.2023.119835AbstractTraffic matrix (TM) prediction aims to forecast future traffic data for networks using historical traffic matrices. TM prediction plays a critical role in solving network engineering tasks such as routing management, capacity planning, and ...
- research-articleOctober 2022
ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification
- Chengchuang Lin,
- Hanbiao Chen,
- Jiesheng Huang,
- Jing Peng,
- Li Guo,
- Zhirong Yang,
- Jiahua Du,
- Shuangyin Li,
- Aihua Yin,
- Gansen Zhao
Computational Biology and Chemistry (COBC), Volume 100, Issue COct 2022https://doi.org/10.1016/j.compbiolchem.2022.107731AbstractChromosome karyotyping analysis is a vital cytogenetics technique for diagnosing genetic and congenital malformations, analyzing gestational and implantation failures, etc. Since the chromosome classification as an essential stage in ...
- research-articleAugust 2022
A context-enhanced sentence representation learning method for close domains with topic modeling
Information Sciences: an International Journal (ISCI), Volume 607, Issue CAug 2022, Pages 186–210https://doi.org/10.1016/j.ins.2022.05.113Highlights- Context-enhanced mechanism fosters sentence embeddings learning in closed domains.
Sentence representation approaches have been widely used and proven to be effective in many text modeling tasks and downstream applications. Many recent proposals are available on learning sentence representations based on deep neural ...
- research-articleJuly 2022
- research-articleJanuary 2022
MDD-TSVM: A novel semisupervised-based method for major depressive disorder detection using electroencephalogram signals
- Hongtuo Lin,
- Chufan Jian,
- Yang Cao,
- Xiaoguang Ma,
- Hailiang Wang,
- Fen Miao,
- Xiaomao Fan,
- Jinzhu Yang,
- Gansen Zhao,
- Hui Zhou
Computers in Biology and Medicine (CBIM), Volume 140, Issue CJan 2022https://doi.org/10.1016/j.compbiomed.2021.105039AbstractMajor depressive disorder (MDD) is a common mental illness characterized by persistent feeling of depressed mood and loss of interest. It would cause, in a severe case, suicide behaviors. In clinical settings, automatic MDD detection ...
Highlights- A semisupervised-based major depressive disorder (MDD) detection method named MDD-TSVM is proposed.
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- ArticleSeptember 2021
Identification of Incorrect Karyotypes Using Deep Learning
Artificial Neural Networks and Machine Learning – ICANN 2021Sep 2021, Pages 453–464https://doi.org/10.1007/978-3-030-86362-3_37AbstractKaryotyping is a vital cytogenetics technique widely applied in prenatal diagnosis and genetic screening. Heavily dependent on the experience of the cytogeneticist and easily affected by the attention, karyotype analysis is a time-consuming and ...
- research-articleJune 2021
A Clinical Dataset and Various Baselines for Chromosome Instance Segmentation
- Runhua Huang,
- Chengchuang Lin,
- Aihua Yin,
- Hanbiao Chen,
- Li Guo,
- Gansen Zhao,
- Xiaomao Fan,
- Shuangyin Li,
- Jinji Yang
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 19, Issue 1Pages 31–39https://doi.org/10.1109/TCBB.2021.3089507<italic>Background:</italic> In medicine, chromosome karyotyping analysis plays a crucial role in prenatal diagnosis for diagnosing whether a fetus has severe defects or genetic diseases. However, chromosome instance segmentation is the most critical ...
- research-articleApril 2021
Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling
Knowledge-Based Systems (KNBS), Volume 218, Issue CApr 2021https://doi.org/10.1016/j.knosys.2021.106827AbstractBecause of its efficiency, word embedding has been widely used in many natural language processing and text modeling tasks. It aims to represent each word by a vector so such that the geometry between these vectors can capture the ...
- research-articleJune 2020
CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture
- Chengchuang Lin,
- Gansen Zhao,
- Zhirong Yang,
- Aihua Yin,
- Xinming Wang,
- Li Guo,
- Hanbiao Chen,
- Zhaohui Ma,
- Lei Zhao,
- Haoyu Luo,
- Tianxing Wang,
- Bichao Ding,
- Xiongwen Pang,
- Qiren Chen
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 19, Issue 3Pages 1285–1293https://doi.org/10.1109/TCBB.2020.3003445<italic>Background:</italic> In medicine, karyotyping chromosomes is important for medical diagnostics, drug development, and biomedical research. Unfortunately, chromosome karyotyping is usually done by skilled cytologists manually, which requires ...
- research-articleJuly 2019
Asynchronous Multivariate Time Series Early Prediction for ICU Transfer
ICIMH 2019: Proceedings of the 2019 International Conference on Intelligent Medicine and HealthJuly 2019, Pages 17–22https://doi.org/10.1145/3348416.3348424The forecasting of whether a patient should be transferred into intensive care units (ICU) is a matter of life and death since it will raise survival rate for patients if they get treated properly and carefully in time. However, we found that recent ...
- articleJuly 2015
Resource Constrained Data Stream Clustering with Concept Drifting for Processing Sensor Data
International Journal of Data Warehousing and Mining (IJDWM-IGI), Volume 11, Issue 3July 2015, Pages 49–67Wireless sensors and mobile devices have been widely deployed as data collecting devices for monitoring real world systems. A large amount of stream data is generated in real-time, which has to be processed in real-time as well. One of the common ...