„Learning algorithms“

Suchergebnisse

4.428 Treffer

• Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography
  Cho, Baek Hwan ; Lee, Da Young ; Park, Kyung-Ah ; Oh, Sei Yeul ; Moon, Jong Hak ; Lee, Ga-In ; Noh, Hoon ; Chung, Joon Kyo ; Kang, Min Chae ; Chung, Myung Jin
• Estimation of Semiarid Forest Canopy Cover Using Optimal Field Sampling and Satellite Data with Machine Learning Algorithms
  Mahdavi, Ali ; Aziz, Jalal
• Comparing different supervised machine learning algorithms for disease prediction
  Uddin, Shahadat ; Khan, Arif ; Hossain, Md Ekramul ; Moni, Mohammad Ali
• Identification of infectious disease-associated host genes using machine learning techniques
  Barman, Ranjan Kumar ; Mukhopadhyay, Anirban ; Maulik, Ujjwal ; Das, Santasabuj
• DeepECA: an end-to-end learning framework for protein contact prediction from a multiple sequence alignment
  Fukuda, Hiroyuki ; Tomii, Kentaro
• Rule-based and machine learning algorithms identify patients with systemic sclerosis accurately in the electronic health record
  Jamian, Lia ; Wheless, Lee ; Crofford, Leslie J. ; Barnado, April
• Modeling aspects of the language of life through transfer-learning protein sequences
  Heinzinger, Michael ; Elnaggar, Ahmed ; Wang, Yu ; Dallago, Christian ; Nechaev, Dmitrii ; Matthes, Florian ; Rost, Burkhard
• The assessment of efficient representation of drug features using deep learning for drug repositioning
  Moridi, Mahroo ; Ghadirinia, Marzieh ; Sharifi-Zarchi, Ali ; Zare-Mirakabad, Fatemeh
• Predicting skilled delivery service use in Ethiopia: dual application of logistic regression and machine learning algorithms
  Tesfaye, Brook ; Atique, Suleman ; Azim, Tariq ; Kebede, Mihiretu M.
• Predicting rice blast disease: machine learning versus process-based models
  Nettleton, David F. ; Katsantonis, Dimitrios ; Kalaitzidis, Argyris ; Sarafijanovic-Djukic, Natasa ; Puigdollers, Pau ; Confalonieri, Roberto
• Machine learning with the TCGA-HNSC dataset: improving usability by addressing inconsistency, sparsity, and high-dimensionality
  Rendleman, Michael C. ; Buatti, John M. ; Braun, Terry A. ; Smith, Brian J. ; Nwakama, Chibuzo ; Beichel, Reinhard R. ; Brown, Bart ; Casavant, Thomas L.
• Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models
  Esteban-Medina, Marina ; Peña-Chilet, María ; Loucera, Carlos ; Dopazo, Joaquín
• Positive-unlabelled learning of glycosylation sites in the human proteome
  Li, Fuyi ; Zhang, Yang ; Purcell, Anthony W. ; Webb, Geoffrey I. ; Chou, Kuo-Chen ; Lithgow, Trevor ; Li, Chen ; Song, Jiangning
• DeepUbi: a deep learning framework for prediction of ubiquitination sites in proteins
  Fu, Hongli ; Yang, Yingxi ; Wang, Xiaobo ; Wang, Hui ; Xu, Yan
• A deep learning method to more accurately recall known lysine acetylation sites
  Wu, Meiqi ; Yang, Yingxi ; Wang, Hui ; Xu, Yan
• Performance of machine-learning algorithms to pattern recognition and classification of hearing impairment in Brazilian farmers exposed to pesticide and/or cigarette smoke
  Tomiazzi, Jamile Silveira ; Pereira, Danillo Roberto ; Judai, Meire Aparecida ; Antunes, Patrícia Alexandra ; Favareto, Ana Paula Alves
• Performance evaluation of RBF- and SVM-based machine learning algorithms for predictive mineral prospectivity modeling: integration of S-A multifractal model and mineralization controls
  Ghezelbash, Reza ; Maghsoudi, Abbas ; Carranza, Emmanuel John M.
• Analysis of protein features and machine learning algorithms for prediction of druggable proteins
  Sun, Tanlin ; Lai, Luhua ; Pei, Jianfeng
• Experimental exposure to gasohol impairs sperm quality with recognition of the classification pattern of exposure groups by machine learning algorithms
  Vieira, Kátia Cristina de Melo Tavares ; Fernandes, Andressa Ágata ; Silva, Karina Martins ; Pereira, Viviane Ribas ; Pereira, Danillo Roberto ; Favareto, Ana Paula Alves
• Integrative analysis and machine learning on cancer genomics data using the Cancer Systems Biology Database (CancerSysDB)
  Krempel, Rasmus ; Kulkarni, Pranav ; Yim, Annie ; Lang, Ulrich ; Habermann, Bianca ; Frommolt, Peter