46 Result(s)
within
Computer Science
Communications Engineering, Networks
Data Mining and Knowledge Discovery
**mo Wang
Article
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Article
Open AccessOn data efficiency of univariate time series anomaly detection models
In machine learning (ML) problems, it is widely believed that more training samples lead to improved predictive accuracy but incur higher computational costs. Consequently, achieving better data efficiency, that ...
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Open AccessHypoxia within tumor microenvironment characterizes distinct genomic patterns and aids molecular subty** for guiding individualized immunotherapy
Assessing the hypoxic status within the tumor microenvironment (TME) is crucial for its significant clinical relevance in evaluating drug resistance and tailoring individualized strategies. In this study, we p...
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Open AccessA fuel consumption-based method for develo** local-specific CO2 emission rate database using open-source big data
Emission data collection has always been a significant burden and challenge for Chinese counties to develop a CO2 emission inventory. This paper proposed a fuel consumption-based method to develop a local-specifi...
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Open AccessDEMFFA: a multi-strategy modified Fennec Fox algorithm with mixed improved differential evolutionary variation strategies
The Fennec Fox algorithm (FFA) is a new meta-heuristic algorithm that is primarily inspired by the Fennec fox's ability to dig and escape from wild predators. Compared with other classical algorithms, FFA show...
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Open AccessEstablishment of an automatic diagnosis system for corneal endothelium diseases using artificial intelligence
To use artificial intelligence to establish an automatic diagnosis system for corneal endothelium diseases (CEDs).
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Open AccessHigh-performance computing in healthcare: An automatic literature analysis perspective
The adoption of high-performance computing (HPC) in healthcare has gained significant attention in recent years, driving advancements in medical research and clinical practice. Exploring the literature on HPC ...
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Open AccessRevisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients
Predicting patient mortality risk facilitates early intervention in intensive care unit (ICU) patients at greater risk of disease progression. This study applies machine learning methods to multidimensional cl...
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Open AccessThe differences in gastric cancer epidemiological data between SEER and GBD: a joinpoint and age-period-cohort analysis
The burden of gastric cancer (GC) should be further clarified worldwide, and helped us to understand the current situation of GC.
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Open AccessFeature selection strategies: a comparative analysis of SHAP-value and importance-based methods
In the context of high-dimensional credit card fraud data, researchers and practitioners commonly utilize feature selection techniques to enhance the performance of fraud detection models. This study presents ...
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Open AccessIntegration of transcriptomic analysis and multiple machine learning approaches identifies NAFLD progression-specific hub genes to reveal distinct genomic patterns and actionable targets
Nonalcoholic fatty liver disease (NAFLD) is a leading public health problem worldwide. Approximately one fourth of patients with nonalcoholic fatty liver (NAFL) progress to nonalcoholic steatohepatitis (NASH),...
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Open AccessData-driven multinomial random forest: a new random forest variant with strong consistency
In this paper, we modify the proof methods of some previously weakly consistent variants of random forest into strongly consistent proof methods, and improve the data utilization of these variants in order to ...
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Open AccessDeep learning enables the quantification of browning capacity of human adipose samples
The recruitment of thermogenic adipocytes in human fat depots markedly improves metabolic disorders such as type 2 diabetes mellitus (T2DM). However, identification and quantification of thermogenic cells in h...
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Open AccessA machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method
Credit risk prediction is a crucial task for financial institutions. The technological advancements in machine learning, coupled with the availability of data and computing power, has given rise to more credit...
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Open AccessHybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection
Intrusion detection systems play a critical role in the mitigation of cyber-attacks on the Internet of Things (IoT) environment. Due to the integration of many devices within the IoT environment, a huge amount...
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Open AccessGeneralized Estimating Equations Boosting (GEEB) machine for correlated data
Rapid development in data science enables machine learning and artificial intelligence to be the most popular research tools across various disciplines. While numerous articles have shown decent predictive abi...
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Open AccessData reduction techniques for highly imbalanced medicare Big Data
In the domain of Medicare insurance fraud detection, handling imbalanced Big Data and high dimensionality remains a significant challenge. This study assesses the combined efficacy of two data reduction techni...
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Open AccessSearch-engine-based surveillance using artificial intelligence for early detection of coronavirus disease outbreak
The search-engine-based surveillance methods for the early warning and prediction of infectious diseases cannot achieve search engine keywords automatic filtering and real-time updating, lead to powerless for ...
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Open AccessUsability enhancement model for unstructured text in big data
The task of insights extraction from unstructured text poses significant challenges for big data analytics because it contains subjective intentions, different contextual perspectives, and information about th...
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Open AccessBEST: a web application for comprehensive biomarker exploration on large-scale data in solid tumors
Data mining from RNA-seq or microarray data has become an essential part of cancer biomarker exploration. Certain existing web servers are valuable and broadly utilized, but the meta-analysis of multiple datas...
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Open AccessResearch on sentiment analysis method of opinion mining based on multi-model fusion transfer learning
With the popularity of social media, opinion mining has gradually become a popular research field. Among these fields, sentiment analysis mining is an important research direction in the field of opinion minin...
