„Classification Algorithms“

Suchergebnisse

1.926 Treffer

• Human motion sensing and recognition – a fuzzy qualitative approach
  Honghai, Liu ; Ju, Zhaojie 2017 Springer
• A review on voice pathology: Taxonomy, diagnosis, medical procedures and detection techniques, open challenges, limitations, and recommendations for future directions
  Abdulmajeed, Nuha Qais ; Al-Khateeb, Belal ; Mohammed, Mazin Abed
• Tree-based machine learning algorithms in the Internet of Things environment for multivariate flood status prediction
  Aswad, Firas Mohammed ; Kareem, Ali Noori ; Khudhur, Ahmed Mahmood ; Khalaf, Bashar Ahmed ; Mostafa, Salama A.
• Computational Probability – Algorithms and Applications in the Mathematical Sciences
  Drew, John H. ; Evans, Diane L. ; Glen, Andrew G. ; Leemis, Lawrence M. 2017 Springer International Publishing
• Classification of clustered microcalcifications using different variants of backpropagation training algorithms
  Khehra, Baljit Singh ; Pharwaha, Amar Partap Singh ; Jindal, Balkrishan ; Mavi, Bhupinder Singh
• SNARER: new molecular descriptors for SNARE proteins classification
  Auriemma Citarella, Alessia ; Di Biasi, Luigi ; Risi, Michele ; Tortora, Genoveffa
• A novel vision-based method for loosening detection of marked T-junction pipe fittings integrating GAN-based segmentation and SVM-based classification algorithms
  Deng, Xinjian ; Liu, Jianhua ; Gong, Hao ; Huang, Jiayu
• A model to predict the function of hypothetical proteins through a nine-point classification scoring schema
  Ijaq, Johny ; Malik, Girik ; Kumar, Anuj ; Das, Partha Sarathi ; Meena, Narendra ; Bethi, Neeraja ; Sundararajan, Vijayaraghava Seshadri ; Suravajhala, Prashanth
• Coding Text Answers to Open-ended Questions: Human Coders and Statistical Learning Algorithms Make Similar Mistakes
  He, Zhoushanyue ; Schonlau, Matthias 2021 SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
• Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study
  Akbarzadeh, Mahdi ; Alipour, Nadia ; Moheimani, Hamed ; Zahedi, Asieh Sadat ; Hosseini-Esfahani, Firoozeh ; Lanjanian, Hossein ; Azizi, Fereidoun ; Daneshpour, Maryam S.
• Cell-of-origin classification using the Hans and Lymph2Cx algorithms in primary cutaneous large B-cell lymphomas
  Schrader, Anne M. R. ; Groen, Ruben A. L. de ; Willemze, Rein ; Jansen, Patty M. ; Quint, Koen D. ; Wezel, Tom van ; Eijk, Ronald van ; Ruano, Dina ; Tensen, Cornelis P. ; Hauben, Esther ; Woei-A-Jin, F. J. S. H. ; Busschots, Anne M. ; den Berg, Anke van ; Diepstra, Arjan ; Vermeer, Maarten H. ; Vermaat, Joost S. P.
• Probabilistic modeling methods for cell-free DNA methylation based cancer classification
  Halla-aho, Viivi ; Lähdesmäki, Harri
• Classification of Fault and Stray Gassing in Transformer by Using Duval Pentagon and Machine Learning Algorithms
  Jia Yong, Haw ; Mohd Yousof, Mohd Fairouz ; Abd Rahman, Rahisham ; Talib, Mohd Aizam ; Azis, Norhafiz
• A Survey of Solution Path Algorithms for Regression and Classification Models
  Tang, Guangrui ; Fan, Neng
• Drug–target interaction prediction via multiple classification strategies
  Ye, Qing ; Zhang, Xiaolong ; Lin, Xiaoli
• Development of a Novel Image Analysis and Classification Algorithms to Separate Tubers from Clods and Stones
  Khazaee, Yousef ; Kheiralipour, Kamran ; Hosainpour, Adel ; Javadikia, Hossein ; Paliwal, Jitendra
• Pima Indians diabetes mellitus classification based on machine learning (ML) algorithms
  Chang, Victor ; Bailey, Jozeene ; Xu, Qianwen Ariel ; Sun, Zhili
• mSRFR: a machine learning model using microalgal signature features for ncRNA classification
  Anuntakarun, Songtham ; Lertampaiporn, Supatcha ; Laomettachit, Teeraphan ; Wattanapornprom, Warin ; Ruengjitchatchawalya, Marasri
• Clinical Explainability Failure (CEF) & Explainability Failure Ratio (EFR) – Changing the Way We Validate Classification Algorithms
  Venugopal, Vasantha Kumar ; Takhar, Rohit ; Gupta, Salil ; Mahajan, Vidur
• ESTIMATION OF LANDCOVER TYPES OVER HIMALAYAN REGION WITH THE CLASSIFICATION OF OPTICAL AND MICROWAVE-BASED IMAGE FUSION DATASET
  Singh, S. ; Tiwari, R. K. ; Sood, V.