Results 21 to 30 of about 22,279 (217)

Enhancing Credit Risk Classification Using LightGBM with Deep Feature Synthesis

Journal of Information Systems and Informatics
In the digital financial services era, Peer-to-Peer (P2P) lending has emerged as a significant innovation in fintech. However, credit risk remains a major concern due to the potential for payment failures, which can cause losses for platforms and ...
Sarah Rosdiana Tambunan, Junita Amalia, Kristina Margaret Sitorus, Yehezchiel Abed Rafles Sibuea, Lucas Ronaldi Hutabarat   +4 more
doaj   +1 more source

Machine Learning at Microsoft with ML .NET

, 2019
Machine Learning is transitioning from an art and science into a technology available to every developer. In the near future, every application on every platform will incorporate trained models to encode data-based decisions that would be impossible for ...
Ahmed, Zeeshan, Amizadeh, Saeed, Bilenko, Mikhail, Carr, Rogan, Chin, Wei-Sheng, Dekel, Yael, Dupre, Xavier, Eksarevskiy, Vadim, Erhardt, Eric, Eseanu, Costin, Filipi, Senja, Finley, Tom, Goswami, Abhishek, Hoover, Monte, Inglis, Scott, Interlandi, Matteo, Katzenberger, Shon, Kazmi, Najeeb, Krivosheev, Gleb, Luferenko, Pete, Matantsev, Ivan, Matusevych, Sergiy, Moradi, Shahab, Nazirov, Gani, Ormont, Justin, Oshri, Gal, Pagnoni, Artidoro, Parmar, Jignesh, Roy, Prabhat, Shah, Sarthak, Siddiqui, Mohammad Zeeshan, Weimer, Markus, Zahirazami, Shauheen, Zhu, Yiwen   +33 more
core   +1 more source

Prediction of potential small molecule−miRNA associations based on heterogeneous network representation learning

Frontiers in Genetics, 2022
MicroRNAs (miRNAs) are closely associated with the occurrences and developments of many complex human diseases. Increasing studies have shown that miRNAs emerge as new therapeutic targets of small molecule (SM) drugs. Since traditional experiment methods
Jianwei Li, Jianwei Li, Hongxin Lin, Yinfei Wang, Zhiguang Li, Baoqin Wu   +5 more
doaj   +1 more source

Population‐Based Multi‐Omics and Cohort Study Identifying Predictive Biomarkers and Therapeutic Targets for Psoriatic Disease

Advanced Science, EarlyView.
Psoriatic disease (PsD) is a chronic skin disease, with challenges in early risk stratification and drug development. Through gene‐level causal inference framework and expression level validation, combined with longitudinal cohort study, CDSN and PRSS8 have been identified as candidate biomarkers and therapeutic targets for PsD.
Tianxing Wu, Jialiang Luo, Haoyuan Qiu, Weijie Shao, Yueyang Lu, Meixuan Luo, Zhaofeng Lin, Yan Zhang, Libo Zhang, Hong Wang, Jia Zhou, Guangfeng Ruan, Peihua Cao, Daming Zuo   +13 more
wiley   +1 more source

Machine learning-driven sedation-analgesia optimization in mechanically ventilated sepsis patients: a retrospective MIMIC-IV analysis

Frontiers in Pharmacology
BackgroundIn the intensive care unit (ICU), septic patients frequently require endotracheal intubation followed by invasive mechanical ventilation. Nonetheless, the optimal sedation-analgesia regimen for these critically ill patients remains undetermined.
Qinxue Hu, Tao Xu, Xiaolan Gao, Xianying Lei, Lirong Hu   +4 more
doaj   +1 more source

Application of near-infrared spectroscopy and CNN-TCN for the identification of foreign fibers in cotton layers

Journal of Natural Fibers, 2023
Foreign fibers in cotton layers have a particular impact on the quality of the cotton. Traditional image processing methods are ineffective in detecting foreign fibers in cotton layers, which are time-consuming and costly.
Yu Hong Du, Xueliang Li, Weijia Ren, Hengli Zuo   +3 more
doaj   +1 more source

Improving the predictability of take-off times with Machine Learning : a case study for the Maastricht upper area control centre area of responsibility [PDF]

, 2018
The uncertainty of the take-off time is a major contribution to the loss of trajectory predictability. At present, the Estimated Take-Off Time (ETOT) for each individual flight is extracted from the Enhanced Traffic Flow Management System (ETFMS ...
Ballerini, Franck, Belkoura, Seddik, Dalmau Codina, Ramon, Naessens, Herbert, Wagnick, Sebastian   +4 more
core  

TreeGrad: Transferring Tree Ensembles to Neural Networks

, 2019
Gradient Boosting Decision Tree (GBDT) are popular machine learning algorithms with implementations such as LightGBM and in popular machine learning toolkits like Scikit-Learn.
C Siu, DH Wolpert, F Pedregosa, JA Blackard, JH Friedman, K Nakai, L Breiman, SK Murthy   +7 more
core   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

Personal bankruptcy prediction using machine learning techniques

Economics and Business Review
It has become crucial to have an early prediction model that provides accurate assurance for users about the financial situation of consumers. Recent studies have focused on predicting corporate bankruptcies and credit defaults, not personal bankruptcies.
Brygała Magdalena, Korol Tomasz
doaj   +1 more source