„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Learning-Based Longitudinal Prediction Models for Mortality Risk in Very-Low-Birth-Weight Infants: A Nationwide Cohort Study
  Na, Jae Yoon ; Jung, Donggoo ; Cha, Jong Ho ; Kim, Daehyun ; Son, Joonhyuk ; Hwang, Jae Kyoon ; Kim, Tae-Hyun ; Park, Hyun-Kyung
• The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity
  Zheng, Hui ; Sivonxay, Eric ; Christensen, Rasmus ; Gallant, Max ; Luo, Ziyao ; McDermott, Matthew ; Huck, Patrick ; Smedskjær, Morten M. ; Persson, Kristin A.
• Structural causal models reveal confounder bias in linear program modelling
  Zečević, Matej ; Dhami, Devendra ; Kersting, Kristian
• Imitation learning-driven approximation of stochastic control models
  Pozzi, Andrea ; Incremona, Alessandro ; Toti, Daniele
• Development and external validation of machine learning models for the early prediction of malnutrition in critically ill patients: a prospective observational study
  Liu, Yi ; Xu, Yehua ; Guo, Lixia ; Chen, Zhongbin ; Xia, Xueqin ; Chen, Feng ; Tang, Li ; Jiang, Hua ; Xie, Caixia
• The value of triglyceride–glucose index–related indices in evaluating migraine: perspectives from multi–centre cross–sectional studies and machine learning models
  Yan, Zixuan ; Duan, Lincheng ; Yin, Hong ; Wang, Muchen ; Li, Jingwen ; Li, Chenghua ; Wang, Xiao ; Cai, Dingjun ; Liang, Fanrong ; Qi, Wenchuan
• Predicting carotid atherosclerosis in latent autoimmune diabetes in adult patients using machine learning models: a retrospective study
  Chen, Xiaoqin ; Li, Zhitong ; Fan, Xiaoying ; Yan, Yuanyuan ; Liu, Shiwei
• Multi-query network learning for hoi detection via vision-language models
  Shi, Leideng ; Zhang, Juan
• Machine learning and data-driven methods in computational surface and interface science
  Hörmann, Lukas ; Stark, Wojciech G. ; Maurer, Reinhard J.
• A machine learning approach to designing and understanding tough, degradable polyamides
  Amamoto, Yoshifumi ; Koganemaru, Chie ; Kojio, Ken ; Takahara, Atsushi ; Yamamoto, Sayoko ; Okazawa, Kazuki ; Tsuji, Yuta ; Aritake, Toshimitsu ; Terayama, Kei
• Advancements in Hybrid Machine Learning Models for Biomedical Disease Classification Using Integration of Hyperparameter-Tuning and Feature Selection Methodologies: A Comprehensive Review
  Dhanka, Sanjay ; Sharma, Abhinav ; Kumar, Ankur ; Maini, Surita ; Vundavilli, Haswant
• Machine learning-based design strategy for weak vibration pipes conveying fluid
  Deng, Tianchang ; Ding, Hu ; Kitipornchai, S. ; Yang, Jie
• Developing ultrasound-based machine learning models for accurate differentiation between sclerosing adenosis and invasive ductal carcinoma
  Liu, Guohao ; Yang, Na ; Qu, Yikun ; Chen, Guangxin ; Wen, Guiqiong ; Li, Gai ; Deng, Li ; Mai, Yuanqi
• FuzzyML: fuzzy based machine learning models for predicting agricultural prices
  Sarkar, Anita ; Paul, Ranjit Kumar ; Yeasin, Md ; Singh, Ankit Kumar ; Paul, A. K.
• Graph Neural Network for Hyperspectral Image Clustering
  Ding, Yao ; Zhang, Zhili ; Hu, Haojie ; Guan, Renxiang ; Feng, Jie ; Lv, Zhiyong 2025 Springer Nature Singapore, Imprint: Springer
• Interactive visual performance space exploration of operational amplifiers with differentiable neural network surrogate models
  Uhlmann, Yannick ; Moldenhauer, Till ; Scheible, Jürgen 2025 Hochschule Reutlingen
• Empowering coronary heart disease diagnosis: a comprehensive analysis of machine learning models on clinical data with explainable AI insights
  Sadhukhan, Bikash ; Gupta, Pratick ; Narayan, Atulya ; Mourya, Akshay Kumar ; Kumar, Shivam
• Impact of analytical bias on machine learning models for sepsis prediction using laboratory data
  Yesil, Meryem Rumeysa ; Talli, Ilaria ; Pelloso, Michela ; Cosma, Chiara ; Pangrazzi, Elisa ; Plebani, Mario ; Ustundag, Yasemin ; Padoan, Andrea
• Pavement Roughness Prediction on Local Roads: Machine Learning Models and Classification Granularity
  Yamany, Mohamed S. ; Elshaboury, Nehal ; Abdelaty, Ahmed ; Smadi, Omar ; Ksaibati, Khaled
• DisruptionBench and Complimentary New Models: Two Advancements in Machine Learning Driven Disruption Prediction
  Spangher, Lucas ; Bonotto, Matteo ; Arnold, William ; Chayapathy, Dhruva ; Gallingani, Tommaso ; Spangher, Alexander ; Cannarile, Francesco ; Bigoni, Daniele ; Marchi, Eliana de ; Rea, Cristina