• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 615 matches

• 2023
• 
  Hadi S. Jomaa:
  Transfer Learning for Automated Machine Learning: Meta-feature Learning, Black-box Hyperparameter Optimization and Applications. University of Hildesheim, Germany, 2023
• 
  Mahdi Aghaabbasi, Mujahid Ali, Michal Jasiñski, Zbigniew Leonowicz, Tomás Novák:
  On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice. IEEE Access 11: 19762-19774 (2023)
• 
  Luis Japa, Marcello Serqueira, Israel Mendonça, Masayoshi Aritsugi, Eduardo Bezerra, Pedro Henrique González:
  A Population-Based Hybrid Approach for Hyperparameter Optimization of Neural Networks. IEEE Access 11: 50752-50768 (2023)
• 
  Nyoman Bogi Aditya Karna, Made Adi Paramartha Putra, Syifa Maliah Rachmawati, Mideth B. Abisado, Gabriel Avelino R. Sampedro:
  Toward Accurate Fused Deposition Modeling 3D Printer Fault Detection Using Improved YOLOv8 With Hyperparameter Optimization. IEEE Access 11: 74251-74262 (2023)
• 
  Kieu-Xuan Thuc, Manh Kha Hoang, Nguyen Van Cuong, Luyen V. Tong:
  A Metaheuristics-Based Hyperparameter Optimization Approach to Beamforming Design. IEEE Access 11: 52250-52259 (2023)
• 
  Dedy Rahman Wijaya, Nailatul Fadhilah Syarwan, Muhammad Agus Nugraha, Dahliar Ananda, Tora Fahrudin, Rini Handayani:
  Seafood Quality Detection Using Electronic Nose and Machine Learning Algorithms With Hyperparameter Optimization. IEEE Access 11: 62484-62495 (2023)
• 
  Balaji Mohan, Jihad Badra:
  A novel automated SuperLearner using a genetic algorithm-based hyperparameter optimization. Adv. Eng. Softw. 175: 103358 (2023)
• 
  Alejandro Morales Hernández, Inneke Van Nieuwenhuyse, Sebastian Rojas-Gonzalez:
  A survey on multi-objective hyperparameter optimization algorithms for machine learning. Artif. Intell. Rev. 56(8): 8043-8093 (2023)
• 
  Daniyal Asif, Mairaj Bibi, Muhammad Shoaib Arif, Aiman Mukheimer:
  Enhancing Heart Disease Prediction through Ensemble Learning Techniques with Hyperparameter Optimization. Algorithms 16(6): 308 (2023)
• 
  Renato Bruni, Gianpiero Bianchi, Pasquale Papa:
  Hyperparameter Black-Box Optimization to Improve the Automatic Classification of Support Tickets. Algorithms 16(1): 46 (2023)
• 
  Daniel S. Soper:
  Hyperparameter Optimization Using Successive Halving with Greedy Cross Validation. Algorithms 16(1): 17 (2023)
• 
  Anthony J. Dunn, Stefano Coniglio, Mohamed H. ElRefai, Paul R. Roberts, Benedict M. Wiles, Alain B. Zemkoho:
  Deep learning and hyperparameter optimization for assessing one's eligibility for a subcutaneous implantable cardioverter-defibrillator. Ann. Oper. Res. 328(1): 309-335 (2023)
• 
  Duong Tran Anh, Manish Pandey, Varun Narayan Mishra, Kiran Kumari Singh, Kourosh Ahmadi, Saeid Janizadeh, Thanh-Hai Tran, Nguyen Thi Thuy Linh, Nguyen Mai Dang:
  Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm. Appl. Soft Comput. 132: 109848 (2023)
• 
  Wei-Chang Yeh, Yi-Ping Lin, Yun-Chia Liang, Chyh-Ming Lai, Chia-Ling Huang:
  Simplified swarm optimization for hyperparameters of convolutional neural networks. Comput. Ind. Eng. 177: 109076 (2023)
• 
  Yu-ting Huang, Yu-Long Bai, Lin Ding, Ya-Jie Zhu, Yong-jie Ma:
  Application of a Hybrid Model Based on ICEEMDAN, Bayesian Hyperparameter Optimization GRU and the ARIMA in Nonferrous Metal Price Prediction. Cybern. Syst. 54(1): 27-59 (2023)
• 
  Abbas Jafar, Myungho Lee:
  High-speed hyperparameter optimization for deep ResNet models in image recognition. Clust. Comput. 26(5): 2605-2613 (2023)
• 
  Hyunki Seong, Chanyoung Chung, David Hyunchul Shim:
  Model Parameter Identification via a Hyperparameter Optimization Scheme for Autonomous Racing Systems. IEEE Control. Syst. Lett. 7: 1652-1657 (2023)
• 
  Deepali Bassi, Hardeep Singh:
  The Effect of Dual Hyperparameter Optimization on Software Vulnerability Prediction Models. e Informatica Softw. Eng. J. 17(1): 230102 (2023)
• 
  Nedim Muzoglu, Ahmet Mesrur Halefoglu, Muhammed Onur Avci, Melike Kaya Karaaslan, Bekir Siddik Binboga Yarman:
  Detection of COVID-19 and its pulmonary stage using Bayesian hyperparameter optimization and deep feature selection methods. Expert Syst. J. Knowl. Eng. 40(1) (2023)
• 
  Fayadh Alenezi, Ammar Armghan, Kemal Polat:
  A multi-stage melanoma recognition framework with deep residual neural network and hyperparameter optimization-based decision support in dermoscopy images. Expert Syst. Appl. 215: 119352 (2023)
• 
  Laura Fdez-Díaz, José Ramón Quevedo, Elena Montañés:
  Regularized boosting with an increasing coefficient magnitude stop criterion as meta-learner in hyperparameter optimization stacking ensemble. Neurocomputing 551: 126516 (2023)
• 
  César H. Valencia, Marley M. B. R. Vellasco, Karla Figueiredo:
  Echo State Networks: Novel reservoir selection and hyperparameter optimization model for time series forecasting. Neurocomputing 545: 126317 (2023)
• 
  Konstantinos Filippou, George Aifantis, George A. Papakostas, George E. Tsekouras:
  Structure Learning and Hyperparameter Optimization Using an Automated Machine Learning (AutoML) Pipeline. Inf. 14(4): 232 (2023)
• 
  Dushi Wen, Sirui Zheng, Jiazhen Chen, Zhouyi Zheng, Chen Ding, Lei Zhang:
  Hyperparameter-Optimization-Inspired Long Short-Term Memory Network for Air Quality Grade Prediction. Inf. 14(4): 243 (2023)
• 
  Raden Aurelius Andhika Viadinugroho, Dedi Rosadi:
  A weighted metric scalarization approach for multiobjective BOHB hyperparameter optimization in LSTM model for sentiment analysis. Inf. Sci. 644: 119282 (2023)
• 
  Çagatay Demirel, A. Aylin Tokuç, Ahmet Tezcan Tekin:
  Click prediction boosting via Bayesian hyperparameter optimization-based ensemble learning pipelines. Intell. Syst. Appl. 17: 200185 (2023)
• 
  Seyed Matin Malakouti:
  Babysitting hyperparameter optimization and 10-fold-cross-validation to enhance the performance of ML methods in predicting wind speed and energy generation. Intell. Syst. Appl. 19: 200248 (2023)
• 
  Ugur Erkan, Abdurrahim Toktas, Deniz Ustun:
  Hyperparameter optimization of deep CNN classifier for plant species identification using artificial bee colony algorithm. J. Ambient Intell. Humaniz. Comput. 14(7): 8827-8838 (2023)
• 
  Dongmei Liu, Haibin Ouyang, Steven Li, Chunliang Zhang, Zhi-Hui Zhan:
  Hyperparameters optimization of convolutional neural network based on local autonomous competition harmony search algorithm. J. Comput. Des. Eng. 10(4): 1280-1297 (2023)
• 
  Jianlong Zhang, Tianhong Wang, Bin Wang, Chen Chen, Gang Wang:
  Hyperparameter optimization method based on dynamic Bayesian with sliding balance mechanism in neural network for cloud computing. J. Cloud Comput. 12(1): 109 (2023)

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