Search Results - "hyperparameter" :: K.UTB vyhledávací portál

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Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG

by Cooney, Ciaran, Korik, Attila, Folli, Raffaella, Coyle, Damien
Published in Sensors (Basel, Switzerland) (17.08.2020)

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Estimating sparse functional connectivity networks via hyperparameter-free learning model

by Sun, Lei, Xue, Yanfang, Zhang, Yining, Qiao, Lishan, Zhang, Limei, Liu, Mingxia
Published in Artificial intelligence in medicine (01.01.2021)

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Echo State Networks: Novel reservoir selection and hyperparameter optimization model for time series forecasting

by Valencia, Cesar H., Vellasco, Marley M.B.R., Figueiredo, Karla
Published in Neurocomputing (Amsterdam) (07.08.2023)

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Optimizing Depression Classification Using Combined Datasets and Hyperparameter Tuning with Optuna

by Duță, Ștefana, Sultana, Alina Elena
Published in Sensors (Basel, Switzerland) (26.03.2025)

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Hyperparameter autotuning of programs with HybridTuner

by Sauk, Benjamin, Sahinidis, Nikolaos V.
Published in Annals of mathematics and artificial intelligence (01.06.2023)

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Grammatical Evolution-Driven Algorithm for Efficient and Automatic Hyperparameter Optimisation of Neural Networks

by Vaidya, Gauri, Kshirsagar, Meghana, Ryan, Conor
Published in Algorithms (01.07.2023)

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Decoding driving states based on normalized mutual information features and hyperparameter self-optimized Gaussian kernel-based radial basis function extreme learning machine

by Chen, Jichi, Fan, Fuchang, Wei, Chunfeng, Polat, Kemal, Alenezi, Fayadh
Published in Chaos, solitons and fractals (01.10.2025)

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Hyperparameter optimization strategies for machine learning-based stochastic energy efficient scheduling in cyber-physical production systems

by Pravin, P.S, Tan, Jaswin Zhi Ming, Yap, Ken Shaun, Wu, Zhe
Published in Digital Chemical Engineering (01.09.2022)

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Hyperparameter Black-Box Optimization to Improve the Automatic Classification of Support Tickets

by Bruni, Renato, Bianchi, Gianpiero, Papa, Pasquale
Published in Algorithms (01.01.2023)

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Hyperparameter Configuration Learning for Ship Detection From Synthetic Aperture Radar Images

by Xu, Nuo, Huo, Chunlei, Zhang, Xin, Cao, Yong, Pan, Chunhong
Published in IEEE geoscience and remote sensing letters (2022)

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Hyperparameter Optimization of a Parallelized LSTM for Time Series Prediction

by Öztürk, Muhammed Maruf
Published in Vietnam journal of computer science (01.08.2023)

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Hyperparameter-tuned prediction of somatic symptom disorder using functional near-infrared spectroscopy-based dynamic functional connectivity

by Eken, Aykut, Çolak, Burçin, Bal, Ne e Burcu, Ku man, Adnan, K z lp nar, Selma Çilem, Akaslan, Damla Sayar, Baskak, Bora
Published in Journal of neural engineering (16.12.2019)

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A comparative analysis of emotion recognition from EEG signals using temporal features and hyperparameter-tuned machine learning techniques

by Hasan, Rabita, Islam, Sheikh Md. Rabiul
Published in MethodsX (01.12.2025)

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A Comparative Analysis of Different Machine Learning Algorithms Developed with Hyperparameter Optimization in the Prediction of Student Academic Success

by Demirtürk, Bahar, Harunoğlu, Tuba
Published in Applied sciences (01.06.2025)

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A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning

by Kwon, Joon, Lecué, Guillaume, Lerasle, Matthieu
Published in Electronic journal of statistics (01.01.2021)

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Deep Learning and Bayesian Hyperparameter Optimization: A Data-Driven Approach for Diamond Grit Segmentation toward Grinding Wheel Characterization

by Sicard, Damien, Briois, Pascal, Billard, Alain, Thevenot, Jérôme, Boichut, Eric, Chapellier, Julien, Bernard, Frédéric
Published in Applied sciences (01.12.2022)

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Hyperparameter Optimization of an hp-Greedy Reduced Basis for Gravitational Wave Surrogates

by Cerino, Franco, Diaz-Pace, J. Andrés, Tassone, Emmanuel A., Tiglio, Manuel, Villegas, Atuel
Published in Universe (Basel) (01.01.2024)

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Klasifikasi Cacat Biji Kopi Menggunakan Metode Transfer Learning dengan Hyperparameter Tuning Gridsearch

by Michael, Aryo, Rusman, Juprianus
Published in Jurnal Teknologi dan Manajemen Informatika (27.06.2023)

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Data size considerations and hyperparameter choices in case-based reasoning approach to glucose prediction

by Zulj, Sara, Carvalho, Paulo, Ribeiro, Rogério T., Andrade, Rita, Magjarevic, Ratko
Published in Biocybernetics and biomedical engineering (01.04.2021)

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Scalable Graph Learning with Graph Convolutional Networks and Graph Attention Networks: Addressing Class Imbalance Through Augmentation and Optimized Hyperparameter Tuning

by Touate, Chaima Ahle, Ayachi, Rachid El, Biniz, Mohamed
Published in International journal of advanced computer science & applications (2025)

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