„Meta-Learning“

Suchergebnisse

4.366 Treffer

• Machine-learning driven strategies for adapting immunotherapy in metastatic NSCLC
  Saad, Maliazurina B. ; Al-Tashi, Qasem ; Hong, Lingzhi ; Verma, Vivek ; Li, Wentao ; Boiarsky, Daniel ; Li, Shenduo ; Petranovic, Milena ; Wu, Carol C. ; Carter, Brett W. ; Shroff, Girish S. ; Cascone, Tina ; Le, Xiuning ; Elamin, Yasir Y. ; Altan, Mehmet ; Heeke, Simon ; Sheshadri, Ajay ; Chang, Joe Y. ; Lee, Percy P. ; Liao, Zhongxing ; Gibbons, Don L. ; Vaporciyan, Ara A. ; Lee, J. Jack ; Wistuba, Ignacio I. ; Haymaker, Cara ; Mirjalili, Seyedali ; Jaffray, David ; Gainor, Justin F. ; Lou, Yanyan ; Feder
• MSA-Net: a multi-scale and adversarial learning network for segmenting bone metastases in low-resolution SPECT imaging
  Wu, Yusheng ; Lin, Qiang ; He, Yang ; Zeng, XianWu ; Cao, Yongchun ; Man, ZhengXing ; Liu, Caihong ; Hao, Yusheng ; Cai, Zhengqi ; Ji, Jinshui ; Huang, Xiaodi
• Navigating chemical design spaces for metal-ion batteries via machine-learning-guided phase-field simulations
  Taghavian, Hamed ; Vanoppen, Viktor ; Berg, Erik ; Broqvist, Peter ; Sjölund, Jens
• Advances in postmortem interval estimation: A systematic review of machine learning and metabolomics across various tissue types
  AlJuhani, Abdulkreem Abdullah ; Desoky, Rodan Mahmoud ; Binshalhoub, Abdulaziz A. ; Alzahrani, Mohammed Jamaan ; Alraythi, Mofareh Shubban ; Alzahrani, Farouq Faisal
• A novel meta-learning method based on relation network for train bearing fault diagnosis
  Zhong, Hao ; He, Deqiang ; Sun, Haimeng ; He, Changfu ; Lao, Zhenpeng
• Do Pedagogical Agents Enhance Student Motivation? Unraveling the Evidence Through Meta-Analysis
  Gladstone, Jessica R. ; Schroeder, Noah L. ; Heidig, Steffi ; Zhang, Shan ; Palaguachi, Chris ; Pitera, Marcin
• Effects of Adding Illustrations to Texts on Students' Science Achievement: A Meta-Analysis
  Lei, Hao ; Chen, Libing ; Chiu, Ming Ming ; Fang, Longyue ; Ding, Yuxin
• A Hybrid Approach with L-SHADE and OWCO: Towards a Faster Convergence Metaheuristic
  Goel, Lavika ; Ramola, Siddharth Chand ; Mishra, Aishwarya
• Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia
  Ivanova, E. A. ; Suleymanov, A. R. ; Nikitin, D. A. ; Semenov, M. V. ; Abakumov, E. V.
• Impact of metal oxides on thermal response of zirconia coated diesel engines fueled by Momordica biodiesel machine learning insights
  Shaisundaram, V. S. ; Elumalai, P. V. ; Padmanabhan, S. ; Ramachandran, U. Nalini ; Tripathi, Abhishek Kumar ; Yaping, Cui ; Goud, B. Nagaraj ; Prabhakar, S.
• Tree model machine learning to identify liquid metal-based alloy superconductor
  Hua, Chen ; Liu, Jing
• Cultural learning of metacognition: evidence from blind individuals
  Bamberger, Marissa R. ; Harris, Lindsay N.
• Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites
  Pradhan, Sunil Kumar ; Kabiraj, Subhayu ; Gupta, Shivin Kumar ; Singh, Abhishek ; Chavan, Padmakar G. ; Patil, Shubham S. ; Pandey, Trilok Nath
• Systematic review and meta-analysis of deep learning for MSI-H in colorectal cancer whole slide images
  Li, Huo ; Qin, Jing ; Li, Zhongzhuan ; Ouyang, Rong ; Chen, Zhixin ; Huang, Shijiang ; Qin, Shufen ; Huang, Qiliang
• Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment
  Abroudi, Ali Shakeri ; Djamali, Melika ; Azizi, Hossein
• HyMD2I: Hybrid Metaheuristic-Deep Learning Approach for Intrusion Detection in IoT
  Boubertakh, Oumeima ; Sahnoun, Ali ; Zitouni, Abdelhafid ; Harous, Saad
• Establishment of an interpretable MRI radiomics-based machine learning model capable of predicting axillary lymph node metastasis in invasive breast cancer
  Zhang, Dingyi ; Shen, Mengyi ; Zhang, Li ; He, Xin ; Huang, Xiaohua
• Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data
  Wei, Fangqiao ; Wu, Zailong ; Li, Guanghui ; Sun, Xiangyu ; Shi, Xiangru ; Tan, Lei ; Ai, Tianxiang ; Qu, Long ; Zheng, Shuguo
• Predicting liver metastasis in colorectal cancer patients using routine biochemical tests enhanced by machine learning
  Erdat, Efe Cem ; Yalciner, Merih ; Kavak, Engin Eren ; Dilli, Ismail ; Cakmak Oksuzoglu, Omur Berna ; Akbulut, Hakan ; Utkan, Gungor
• Machine learning-assisted finite element modeling of additively manufactured meta-materials
  Meynen, Alexander ; Kolken, HMA ; Mulier, Michiel ; Zadpoor, Amir A. ; Scheys, Lennart