„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Regressive Class Modelling for Predicting Trajectories of COVID-19 Fatalities Using Statistical and Machine Learning Models
  Chowdhury, Rafiqul I. ; Hasan, M. Tariqul ; Sneddon, Gary
• Explore and Exploit with Heterotic Line Bundle Models
  Larfors, M. ; Schneider, R.
• Validation Study of QSAR/DNN Models Using the Competition Datasets
  Kato, Yoshiki ; Hamada, Shinji ; Goto, Hitoshi
• Assessing Graph‐based Deep Learning Models for Predicting Flash Point
  Sun, Xiaoyu ; Krakauer, Nathaniel J. ; Politowicz, Alexander ; Chen, Wei‐Ting ; Li, Qiying ; Li, Zuoyi ; Shao, Xianjia ; Sunaryo, Alfred ; Shen, Mingren ; Wang, James ; Morgan, Dane
• Cisplatin resistance-related multi-omics differences and the establishment of machine learning models
  Sui, Qihai ; Chen, Zhencong ; Hu, Zhengyang ; Huang, Yiwei ; Liang, Jiaqi ; Bi, Guoshu ; Bian, Yunyi ; Zhao, Mengnan ; Zhan, Cheng ; Lin, Zongwu ; Wang, Qun ; Tan, Lijie
• Predictive modeling of Persian walnut (Juglans regia L.) in vitro proliferation media using machine learning approaches: a comparative study of ANN, KNN and GEP models
  Sadat-Hosseini, Mohammad ; Arab, Mohammad M. ; Soltani, Mohammad ; Eftekhari, Maliheh ; Soleimani, Amanollah ; Vahdati, Kourosh
• Spatial modeling of land subsidence using machine learning models and statistical methods
  Sekkeravani, Mohsen Abbasi ; Bazrafshan, Ommolbanin ; Pourghasemi, Hamid Reza ; Holisaz, Arashk
• Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea
  Kim, Junho ; Mun, Sujeong ; Lee, Siwoo ; Jeong, Kyoungsik ; Baek, Younghwa
• Synthesizing Systems Biology Knowledge from Omics Using Genome‐Scale Models
  Dahal, Sanjeev ; Yurkovich, James T. ; Xu, Hao ; Palsson, Bernhard O. ; Yang, Laurence
• Ensemble machine learning models for prediction of flyrock due to quarry blasting
  Barkhordari, M. S. ; Armaghani, D. J. ; Fakharian, P.
• Machine learning models for mathematical symbol recognition: A stem to stern literature analysis
  Kukreja, Vinay ; Sakshi
• Sources of Understanding in Supervised Machine Learning Models
  Pirozelli, Paulo
• Dementia classification using MR imaging and clinical data with voting based machine learning models
  Bharati, Subrato ; Podder, Prajoy ; Thanh, Dang Ngoc Hoang ; Prasath, V. B. Surya
• Benchmarking Invasive Alien Species Image Recognition Models for a Citizen Science Based Spatial Distribution Monitoring
  Niers, Tom ; Stenkamp, Jan ; Jakuschona, Nick Pascal ; Bartoschek, Thomas ; Schade, Sven
• Generalized vec trick for fast learning of pairwise kernel models
  Viljanen, Markus ; Airola, Antti ; Pahikkala, Tapio
• Prediction of fatigue failure in small-scale butt-welded joints with explainable machine learning
  Braun, Moritz ; Kellner, Leon ; Schreiber, Sarah ; Ehlers, Sören 2021 Universitätsbibliothek der Technischen Universität Hamburg
• Designing AI‐Aided Analysis and Prediction Models for Nonprecious Metal Electrocatalyst‐Based Proton‐Exchange Membrane Fuel Cells
  Ding, Rui ; Wang, Ran ; Ding, Yiqin ; Yin, Wenjuan ; Liu, Yide ; Li, Jia ; Liu, Jianguo
• Effects of haze and dehazing on deep learning-based vision models
  Hassan, Haseeb ; Mishra, Pranshu ; Ahmad, Muhammad ; Bashir, Ali Kashif ; Huang, Bingding ; Luo, Bin
• Assessment of Recoverable Resource Uncertainty in Multivariate Deposits Through a Simple Machine Learning Technique Trained Using Geostatistical Simulations
  Mery, Nadia ; Marcotte, Denis
• Grade Control with Ensembled Machine Learning: A Comparative Case Study at the Carmen de Andacollo Copper Mine
  Silva, Camilla Zacche da ; Nisenson, Jed ; Boisvert, Jeff