AIMC Topic: Ensemble Learning

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Enhancing biomedical relation extraction through data-centric and preprocessing-robust ensemble learning approach.

Database : the journal of biological databases and curation May 22, 2025
The paper describes our biomedical relation extraction system, which is designed to participate in the BioCreative VIII challenge Track 1: BioRED Track, which emphasizes the relation extraction from biomedical literature. Our system employs an ensemb...
Data Mining Ensemble Learning Humans Machine Learning
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Accurate prediction of virulence factors using pre-train protein language model and ensemble learning.

BMC genomics May 21, 2025
BACKGROUND: As bacterial pathogens develop increasing resistance to antibiotics, strategies targeting virulence factors (VFs) have emerged as a promising and effective approach for treating bacterial infections. Existing methods mainly relied on sequ...
Machine Learning Virulence Factors Ensemble Learning Computational Biology Bacterial Proteins
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iPiDA-LGE: a local and global graph ensemble learning framework for identifying piRNA-disease associations.

BMC biology May 9, 2025
BACKGROUND: Exploring piRNA-disease associations can help discover candidate diagnostic or prognostic biomarkers and therapeutic targets. Several computational methods have been presented for identifying associations between piRNAs and diseases. Howe...
Neural Networks, Computer Genetic Predisposition to Disease Humans Ensemble Learning Piwi-Interacting RNA Computational Biology RNA, Small Interfering
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UAV-based water pollutants detection and classification framework using multi-modal and multi-sensor ensemble learning.

Environmental monitoring and assessment May 9, 2025
The massive increment in water pollutants due to the release of plastic, industrial, and household waste has threatened the delicate balance of ecosystems and the well-being of human life. Therefore, detection and monitoring of such water pollutants ...
Machine Learning Remote Sensing Technology Ensemble Learning Unmanned Aerial Devices Environmental Monitoring Water Pollutants, Chemical
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Ensemble learning based on matrix completion improves microbe-disease association prediction.

Briefings in bioinformatics Mar 4, 2025
Microbes have a profound impact on human health. Identifying disease-associated microbes would provide helpful guidance for drug development and disease treatment. Through an enormous experimental effort, limited disease-associated microbes have been...
Ensemble Learning Humans Algorithms Computational Biology Machine Learning
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Prospective and External Validation of an Ensemble Learning Approach to Sensitively Detect Intravenous Fluid Contamination in Basic Metabolic Panels.

Clinical chemistry Feb 3, 2025
BACKGROUND: Intravenous (IV) fluid contamination within clinical specimens causes an operational burden on the laboratory when detected, and potential patient harm when undetected. Even mild contamination is often sufficient to meaningfully alter res...
Ensemble Learning Sensitivity and Specificity Male Prospective Studies Female Machine Learning Algorithms Humans
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Exploring Ensemble Learning Techniques for Infant Mortality Prediction: A Technical Analysis of XGBoost Stacking AdaBoost and Bagging Models.

Birth defects research Feb 1, 2025
BACKGROUND: Infant mortality remains a critical public health issue, reflecting the overall health and well-being of a population. Accurate prediction of infant mortality is crucial, as it enables healthcare providers to identify at-risk populations ...
Humans Machine Learning Ensemble Learning Boosting Machine Learning Algorithms Infant India Female Infant Mortality Infant, Newborn
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EnsembleSE: identification of super-enhancers based on ensemble learning.

Briefings in functional genomics Jan 15, 2025
Super-enhancers (SEs) are typically located in the regulatory regions of genes, driving high-level gene expression. Identifying SEs is crucial for a deeper understanding of gene regulatory networks, disease mechanisms, and the development and physiol...
Computational Biology Animals Humans Ensemble Learning Deep Learning Machine Learning Enhancer Elements, Genetic
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Research on the financial early warning models based on ensemble learning algorithms: Introducing MD&A and stock forum comments textual indicators.

PloS one Jan 1, 2025
This study analyzes 284 publicly listed companies first designated as ST or *ST between 2015 and 2023. It utilizes two types of textual indicators: Management's Discussion and Analysis (MD&A) and stock forum comments. PCA and MLP are employed for dim...
Humans Machine Learning Models, Economic Algorithms Ensemble Learning
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Ensemble learning guided survival prediction and chemotherapy benefit analysis in high-grade chondrosarcoma: A study based on the surveillance, epidemiology, and end results (SEER) database.

Journal of orthopaedic surgery (Hong Kong) Jan 1, 2025
The chemotherapy benefit for high-grade chondrosarcoma remains controversial. Ensemble learning has better overall performance than single computational approaches for clinical decision. The primary objective was to select prognostic variables and d...
Adolescent Child Male Middle Aged Adult Female Bone Neoplasms Prognosis SEER Program Young Adult Chondrosarcoma Survival Rate Aged Neoplasm Grading Retrospective Studies Humans Ensemble Learning Machine Learning
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