Results 211 to 220 of about 62,767 (259)

Scene classification in dance art using deep learning with squeeze and excitation networks and the Advanced Beluga Whale Optimization Algorithm. [PDF]

Sci Rep
Dong Y, Sun L.
europepmc   +1 more source

Physics‐encoded transfer learning for scale‐up modeling of CHO cell bioreactors

AIChE Journal, EarlyView.
Abstract Developing reliable predictive models for mammalian cell bioreactors, particularly Chinese hamster ovary (CHO) cultures widely used in biopharmaceutical manufacturing, remains challenging due to severe data scarcity in industrial‐scale reactors.
Muyang Li, Ming Xiao, Zhe Wu
wiley   +1 more source

A manta ray-bayesian optimization approach for hyperparameter-tuned convolutional neural networks in lung cancer classification. [PDF]

Sci Rep
Samal S, Sunder S, Gadekellu TR, Yagin FH, Shawi RE, Ahmed N.   +5 more
europepmc   +1 more source

Explainable IAOA-CNN-CBAM-SVR model for predicting air consumption of auxiliary nozzles with limited sample size. [PDF]

PLoS One
Shen M, Cao Y, Xiong X, Wang Z, Yu L, Yang X, Lv Y.   +6 more
europepmc   +1 more source

Particle peak velocity prediction based on risk-oriented hybrid ensemble learning. [PDF]

Sci Rep
Ge L, He J, Zhang Z, Yin L, Jia S, Zhao Y.   +5 more
europepmc   +1 more source

Hybrid Aquila optimizer-Harris Hawks optimization for CNN hyperparameter tuning in brain tumor classification. [PDF]

Sci Rep
Kumar M, Mohd N, Shivam G, Goyal A, Parashar D, Khan R.   +5 more
europepmc   +1 more source

Efficacy of Spectral-Aided Visual Enhancer in Classification of Esophageal Cancer. [PDF]

Cancers (Basel)
Koh KY, Mukundan A, Karmakar R, Atulbhai CT, Chen TH, Weng WC, Wang HC.   +6 more
europepmc   +1 more source

Scalable HMO-CNN-SVM Framework for Skin Lesion Classification: A Metaheuristic-Driven Approach With Parallelizable Optimization for Cluster Deployment. [PDF]

Biomed Eng Comput Biol
Fendzi Mbasso W, Harrison A, Mamadiyarov Z, Liu Z, Kumar R, Shaikh MS, Metwally Mahmoud M.   +6 more
europepmc   +1 more source

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Reproducible Hyperparameter Optimization

Journal of Computational and Graphical Statistics, 2021
A key issue in machine learning research is the lack of reproducibility. We illustrate what role hyperparameter search plays in this problem and how regular hyperparameter search methods can lead t...
Lars Hertel, Pierre Baldi, Daniel L. Gillen   +2 more
openaire   +1 more source

Hyperparameter Optimization Machines

2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2016
Algorithm selection and hyperparameter tuning are omnipresent problems for researchers and practitioners. Hence, it is not surprising that the efforts in automatizing this process using various meta-learning approaches have been increased. Sequential model-based optimization (SMBO) is ne of the most popular frameworks for finding optimal hyperparameter
Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme   +2 more
openaire   +1 more source