Results 111 to 120 of about 3,330 (201)

Identity-Aware Lightweight MobileNetV2 with Distillation and Optuna for Face Spoofing Detection [PDF]

Presentation attacks, commonly known as face spoofing, remain a major security challenge in facial recognition-based authentication systems because forged media such as printed photos and replayed videos can deceive biometric verification.
Sahputra, Alif, Muhammad, Alva Hendi
core  

Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest

To address the limitation of traditional machine learning models in explaining the rockburst intensity prediction process, this study proposes an interpretable rockburst intensity prediction model.
Shunchuan Wu, Yaxi Shen, Yongbing Wang, Zhiquan Yang, Jiaxin Wang   +4 more
core   +1 more source

Heart disease prediction using rough neutrosophic sets and dual-attention neural networks: RNS-OptiDANet. [PDF]

Front Artif Intell
Ashika T, Hannah Grace G.
europepmc   +1 more source

An interpretable model for landslide susceptibility assessment based on Optuna hyperparameter optimization and Random Forest

This study proposed an interpretable model that combines Random Forest (RF), Optuna hyperparameter optimization, and SHapley Additive exPlanations (SHAP) to achieve optimal landslide susceptibility evaluation and provide explanations in the northwest ...
Jiangcheng Huang, Xuan Ji, Xuan Luo, Xin Xiao, Yi Zou, Meng Li, Yungang Li, Luyi Yang, Pengwu Yang   +8 more
core   +1 more source

Prediction of Ligand Binding to Transthyretin Using Machine Learning Algorithms and Low-Dimensional Molecular Descriptors: A Tox24 Challenge Study. [PDF]

Chem Res Toxicol
Stefaniak F.
europepmc   +1 more source

PERAMALAN KUNJUNGAN WISATAWAN MANCANEGARA MENGGUNAKAN MODEL SARIMA-XGBOOST DENGAN OPTIMASI OPTUNA

The Indonesian tourism sector has experienced significant changes following the COVID-19 pandemic, highlighting the need for accurate forecasting systems to support data-driven policy decisions.
Malva, Maisie Yunita
core  

Pronóstico de la velocidad del viento entre 80-95 km sobre la costa peruana utilizando EM, VMD, LSTM y Optuna

Universidad Nacional Agraria La Molina. Escuela de Posgrado. Maestría en Estadística AplicadaEl análisis de la predicción del viento en la mesósfera y baja termósfera (MLT) es esencial para entender mejor las dinámicas atmosféricas sobre Lima y
Mauricio Timana Christian
core  

Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings. [PDF]

Sci Rep
Khafagy M, Khafagy M, Swillam MA.
europepmc   +1 more source

Machine learning model optimization with optuna for accurate prediction of strength and crack behavior in prestressed concrete beams. [PDF]

Sci Rep
Wen Y, Guo R, Duan Z, Tong Y, Tang X, Pan T, Fu C.   +6 more
europepmc   +1 more source

easytrack: A napari plugin for automated parameter tuning in cell tracking. [PDF]

MicroPubl Biol
Huygelen T, Lowe A, Mao Y, Vicente-Munuera P.   +3 more
europepmc   +1 more source