„supervised classification“

Suchergebnisse

761 Treffer

• Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition
  Le, Trang ; Winsnes, Casper F. ; Axelsson, Ulrika ; Xu, Hao ; Mohanakrishnan Kaimal, Jayasankar ; Mahdessian, Diana ; Dai, Shubin ; Makarov, Ilya S. ; Ostankovich, Vladislav ; Xu, Yang ; Benhamou, Eric ; Henkel, Christof ; Solovyev, Roman A. ; Banić, Nikola ; Bošnjak, Vito ; Bošnjak, Ana ; Miličević, Andrija ; Ouyang, Wei ; Lundberg, Emma
• Evaluation of two semi-supervised learning methods and their combination for automatic classification of bone marrow cells
  Nakamura, Iori ; Ida, Haruhi ; Yabuta, Mayu ; Kashiwa, Wataru ; Tsukamoto, Maho ; Sato, Shigeki ; Ota, Syuichi ; Kobayashi, Naoki ; Masauzi, Hiromi ; Okada, Kazunori ; Kaga, Sanae ; Miwa, Keiko ; Kanai, Hiroshi ; Masauzi, Nobuo
• An interpretable semi-supervised framework for patch-based classification of breast cancer
  Shawi, Radwa El ; Kilanava, Khatia ; Sakr, Sherif
• Comparison of semi-supervised deep learning algorithms for audio classification
  Cances, Léo ; Labbé, Etienne ; Pellegrini, Thomas
• Self-supervised classification of subcellular morphometric phenotypes reveals extracellular matrix-specific morphological responses
  Wong, Kin Sun ; Zhong, Xueying ; Low, Christine Siok Lan ; Kanchanawong, Pakorn
• A novel method for prediction of skin disease through supervised classification techniques
  Meena, K. ; Veni, N. N. Krishna ; Deepapriya, B. S. ; Vardhini, P. A. Harsha ; Kalyani, B. J. D. ; Sharmila, L.
• OCFSP: self-supervised one-class classification approach using feature-slide prediction subtask for feature data
  Hayashi, Toshitaka ; Fujita, Hamido
• Self-supervised patient-specific features learning for OCT image classification
  Fang, Leyuan ; Guo, Jiahuan ; He, Xingxin ; Li, Muxing
• Supervised learning algorithms in the classification of plant populations with different degrees of kinship
  Skowronski, Leandro ; Moraes, Paula Martin de ; Moraes, Mario Luiz Teixeira de ; Gonçalves, Wesley Nunes ; Constantino, Michel ; Costa, Celso Soares ; Fava, Wellington Santos ; Costa, Reginaldo B.
• SWIN transformer based contrastive self-supervised learning for animal detection and classification
  Agilandeeswari, L. ; Meena, S. Divya
• Powertrain development with artificial intelligence – history, work processes, concepts, methods and application examples
  Mirfendreski, Aras 2022 Springer
• Powertrain Development with Artificial Intelligence – History, Work Processes, Concepts, Methods and Application Examples
  Mirfendreski, Aras 2022 Springer Berlin Heidelberg
• Semi-supervised medical image classification via increasing prediction diversity
  Liu, Peng ; Qian, Wenhua ; Cao, Jinde ; Xu, Dan
• A Tailored Complex Medical Decision Analysis Model for Diabetic Retinopathy Classification Based on Optimized Un-Supervised Feature Learning Approach
  Jena, Manaswini ; Mishra, Debahuti ; Mishra, Smita Prava ; Mallick, Pradeep Kumar
• Machine Learning Techniques for Parkinson’s Disease Detection using Wearables during a Timed-up-and-Go-Test
  Hossein Tabatabaei, Seyed Amir ; Pedrosa, David ; Eggers, Carsten ; Wullstein, Max ; Kleinholdermann, Urs ; Fischer, Patrick ; Sohrabi, Keywan
• Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised fault classification
  Wang, Weijun ; Wang, Yun ; Wang, Jun ; Fang, Xinyun ; He, Yuchen
• Semi-supervised Mode Classification of Inter-city Trips from Cellular Network Data
  Breyer, Nils ; Rydergren, Clas ; Gundlegård, David
• Stockwell transform and semi-supervised feature selection from deep features for classification of BCI signals
  Salimpour, Sahar ; Kalbkhani, Hashem ; Seyyedi, Saeed ; Solouk, Vahid
• THE USE OF OPEN SOURCE SOFTWARE FOR MONITORING BEE DIVERSITY IN NATURAL SYSTEMS: THE BEEMS PROJECT
  Dabove, P. ; Di Pietra, V.
• Supervised machine learning aided behavior classification in pigeons
  Wittek, Neslihan ; Wittek, Kevin ; Keibel, Christopher ; Güntürkün, Onur