Hyperparameter Optimization EM Algorithm via Bayesian Optimization and Relative Entropy by Dawei Zou, Chunhua Ma, Peng Wang, Yanqiu Geng

Subjects: “…hyperparameters optimization…”
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Unveiling the secrets of neural network scaling for ECG classification by Byeong Tak Lee, Joon-myoung Kwon, Yong-Yeon Jo

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Enhancing patient rehabilitation outcomes: artificial intelligence-driven predictive modeling for home discharge in neurological and orthopedic conditions by Leonardo Buscarini, Paola Romano, Elena Sofia Cocco, Carlo Damiani, Sanaz Pournajaf, Marco Franceschini, Francesco Infarinato

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On the Utilization of Emoji Encoding and Data Preprocessing with a Combined CNN-LSTM Framework for Arabic Sentiment Analysis by Hussam Alawneh, Ahmad Hasasneh, Mohammed Maree

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A New Hyperparameter Tuning Framework for Regression Tasks in Deep Neural Network: Combined-Sampling Algorithm to Search the Optimized Hyperparameters by Nguyen Huu Tiep, Hae-Yong Jeong, Kyung-Doo Kim, Nguyen Xuan Mung, Nhu-Ngoc Dao, Hoai-Nam Tran, Van-Khanh Hoang, Nguyen Ngoc Anh, Mai The Vu

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Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction by Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas

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A novel approach based on XGBoost classifier and Bayesian optimization for credit card fraud detection by Mohammed Tayebi, Said El Kafhali

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Hyperparameters optimization of evolving spiking neural network using artificial bee colony for unsupervised anomaly detection by Rehan Rabie, Sahran Shahnorbanun, Alyasseri Zaid Abdi Alkareem, Sani Nor Samsiah, Al-Betar Mohammed Azmi

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Electromyography-Based Human-in-the-Loop Bayesian Optimization to Assist Free Leg Swinging by Salvador Echeveste, Pranav A. Bhounsule

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Modified particle swarm optimization (MPSO) optimized CNN’s hyperparameters for classification by Murinto Murinto, Sri Winiarti

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Hyperparameter Optimization for Problem-Based Custom CNN Architectures Using a Smart Grid Search Method by H. Aktas

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Hyperparameter optimization of machine learning models for predicting actual evapotranspiration by Chalachew Muluken Liyew, Elvira Di Nardo, Stefano Ferraris, Rosa Meo

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A Physics-Based Hyper Parameter Optimized Federated Multi-Layered Deep Learning Model for Intrusion Detection in IoT Networks by Chirag Jitendra Chandnani, Vedik Agarwal, Shlok Chetan Kulkarni, Aditya Aren, D. Geraldine Bessie Amali, Kathiravan Srinivasan

Subjects: “…Hyperparameter optimization…”
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Development of the Optuna-NGBoost-SHAP model for estimating ground settlement during tunnel excavation by Yuxin Chen, Mohammad Hossein Kadkhodaei, Jian Zhou

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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

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Debris Flow Susceptibility Prediction Using Transfer Learning: A Case Study in Western Sichuan, China by Tiezhu Li, Qidi Huang, Qigang Chen

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TransUNet Image 3D Reconstruction with Hyperparameter Optimization by Xiaofang Wang, Zhihao Luo, Mingrui Gou, Kerui Mao, Liang Zhou

Subjects: “…hyperparameter optimization…”
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Optimizing travel time reliability with XAI: A Virginia interstate network case using machine learning and meta-heuristics by Navid Khorshidi, Shahriar Afandizadeh Zargari, Soheil Rezashoar, Hamid Mirzahossein

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An interpretable model for landslide susceptibility assessment based on Optuna hyperparameter optimization and Random Forest by Xin Xiao, Yi Zou, Jiangcheng Huang, Xuan Luo, Luyi Yang, Meng Li, Pengwu Yang, Xuan Ji, Yungang Li

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Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach by Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma

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