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Augmentace dat (Czech Wikipedia)

Analysis of information sources in references of the Wikipedia article "Augmentace dat" in Czech language version.

Last modified:

Ref.Un. Ref.Website
Global rank Czech rank
2113doi.org
2nd place
4th place
2012worldcat.org
4th place
2nd place
94nih.gov
5th place
8th place
77elsevier.com
365th place
150th place
52ieee.org
912th place
826th place
41springer.com
182nd place
137th place
32web.archive.org
1st place
1st place
31mdpi.com
1,887th place
372nd place
11sciencedirect.com
137th place
75th place
11jair.org
low place
low place

doi.org (Global: 2nd place; Czech: 4th place)

  • MUMUNI, Alhassan; MUMUNI, Fuseini. Data augmentation: A comprehensive survey of modern approaches. Array. 2022-12-01, roč. 16, s. 100258. Dostupné online [cit. 2025-01-25]. ISSN 2590-0056. doi:10.1016/j.array.2022.100258.
  • HASSAN, Haseeb; REN, Zhaoyu; ZHAO, Huishi. Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks. Computers in Biology and Medicine. 2022-02-01, roč. 141, s. 105123. Dostupné online [cit. 2025-01-25]. ISSN 0010-4825. doi:10.1016/j.compbiomed.2021.105123. PMID 34953356.
  • SALEH, Alzayat; SHEAVES, Marcus; JERRY, Dean. Applications of deep learning in fish habitat monitoring: A tutorial and survey. Expert Systems with Applications. 2024-03-15, roč. 238, s. 121841. Dostupné online [cit. 2025-01-25]. ISSN 0957-4174. doi:10.1016/j.eswa.2023.121841.
  • XIE, Yangchen; CHEN, Xinyuan; ZHAN, Hongjian. Weakly supervised scene text generation for low-resource languages. Expert Systems with Applications. 2024-03-01, roč. 237, s. 121622. Dostupné online [cit. 2025-01-25]. ISSN 0957-4174. doi:10.1016/j.eswa.2023.121622.
  • SHORTEN, Connor; KHOSHGOFTAAR, Taghi M.; FURHT, Borko. Text Data Augmentation for Deep Learning. Journal of Big Data. 2021-07-19, roč. 8, čís. 1, s. 101. Dostupné online [cit. 2025-01-16]. ISSN 2196-1115. doi:10.1186/s40537-021-00492-0. PMID 34306963. (anglicky)
  • WANG, Shujuan; DAI, Yuntao; SHEN, Jihong. Research on expansion and classification of imbalanced data based on SMOTE algorithm. Scientific Reports. 2021-12-15, roč. 11. Dostupné v archivu pořízeném z originálu dne 2024-11-21. doi:10.1038/. (anglicky)
  • CHAWLA, N. V.; BOWYER, K. W.; HALL, L. O. SMOTE: Synthetic Minority Over-sampling Technique. Journal of Artificial Intelligence Research. 2002-06-01, roč. 16, s. 321–357. Dostupné online [cit. 2025-01-16]. ISSN 1076-9757. doi:10.1613/jair.953. (anglicky)
  • AMIRRUDDIN, Amiratul Diyana; MUHARAM, Farrah Melissa; ISMAIL, Mohd Hasmadi. Synthetic Minority Over-sampling TEchnique (SMOTE) and Logistic Model Tree (LMT)-Adaptive Boosting algorithms for classifying imbalanced datasets of nutrient and chlorophyll sufficiency levels of oil palm (Elaeis guineensis) using spectroradiometers and unmanned aerial vehicles. Computers and Electronics in Agriculture. 2022-02-01, roč. 193, s. 106646. Dostupné online [cit. 2025-01-25]. ISSN 0168-1699. doi:10.1016/j.compag.2021.106646.
  • ELREEDY, Dina; ATIYA, Amir F. A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance. Information Sciences. 2019-12-01, roč. 505, s. 32–64. Dostupné online [cit. 2025-01-29]. ISSN 0020-0255. doi:10.1016/j.ins.2019.07.070.
  • TONG, Kang; WU, Yiquan; ZHOU, Fei. Recent advances in small object detection based on deep learning: A review. Image and Vision Computing. 2020-05-01, roč. 97, s. 103910. Dostupné online [cit. 2025-01-25]. ISSN 0262-8856. doi:10.1016/j.imavis.2020.103910.
  • KUMAR, Teerath; BRENNAN, Rob; MILEO, Alessandra. Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions. IEEE Access. 2024, roč. 12, s. 187536–187571. Dostupné online [cit. 2025-01-25]. ISSN 2169-3536. doi:10.1109/ACCESS.2024.3470122.
  • BIRD, Jordan J.; PRITCHARD, Michael; FRATINI, Antonio. Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation. IEEE Robotics and Automation Letters. 2021-04, roč. 6, čís. 2, s. 3498–3504. Dostupné online [cit. 2025-01-16]. ISSN 2377-3766. doi:10.1109/LRA.2021.3056355.
  • ANICET ZANINI, Rafael; LUNA COLOMBINI, Esther. Parkinson’s Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer. Sensors. 2020-05-03, roč. 20, čís. 9, s. 2605. Dostupné online [cit. 2025-01-16]. ISSN 1424-8220. doi:10.3390/s20092605. PMID 32375217. (anglicky)

elsevier.com (Global: 365th place; Czech: 150th place)

linkinghub.elsevier.com

  • MUMUNI, Alhassan; MUMUNI, Fuseini. Data augmentation: A comprehensive survey of modern approaches. Array. 2022-12-01, roč. 16, s. 100258. Dostupné online [cit. 2025-01-25]. ISSN 2590-0056. doi:10.1016/j.array.2022.100258.
  • HASSAN, Haseeb; REN, Zhaoyu; ZHAO, Huishi. Review and classification of AI-enabled COVID-19 CT imaging models based on computer vision tasks. Computers in Biology and Medicine. 2022-02-01, roč. 141, s. 105123. Dostupné online [cit. 2025-01-25]. ISSN 0010-4825. doi:10.1016/j.compbiomed.2021.105123. PMID 34953356.
  • SALEH, Alzayat; SHEAVES, Marcus; JERRY, Dean. Applications of deep learning in fish habitat monitoring: A tutorial and survey. Expert Systems with Applications. 2024-03-15, roč. 238, s. 121841. Dostupné online [cit. 2025-01-25]. ISSN 0957-4174. doi:10.1016/j.eswa.2023.121841.
  • XIE, Yangchen; CHEN, Xinyuan; ZHAN, Hongjian. Weakly supervised scene text generation for low-resource languages. Expert Systems with Applications. 2024-03-01, roč. 237, s. 121622. Dostupné online [cit. 2025-01-25]. ISSN 0957-4174. doi:10.1016/j.eswa.2023.121622.
  • AMIRRUDDIN, Amiratul Diyana; MUHARAM, Farrah Melissa; ISMAIL, Mohd Hasmadi. Synthetic Minority Over-sampling TEchnique (SMOTE) and Logistic Model Tree (LMT)-Adaptive Boosting algorithms for classifying imbalanced datasets of nutrient and chlorophyll sufficiency levels of oil palm (Elaeis guineensis) using spectroradiometers and unmanned aerial vehicles. Computers and Electronics in Agriculture. 2022-02-01, roč. 193, s. 106646. Dostupné online [cit. 2025-01-25]. ISSN 0168-1699. doi:10.1016/j.compag.2021.106646.
  • ELREEDY, Dina; ATIYA, Amir F. A Comprehensive Analysis of Synthetic Minority Oversampling Technique (SMOTE) for handling class imbalance. Information Sciences. 2019-12-01, roč. 505, s. 32–64. Dostupné online [cit. 2025-01-29]. ISSN 0020-0255. doi:10.1016/j.ins.2019.07.070.
  • TONG, Kang; WU, Yiquan; ZHOU, Fei. Recent advances in small object detection based on deep learning: A review. Image and Vision Computing. 2020-05-01, roč. 97, s. 103910. Dostupné online [cit. 2025-01-25]. ISSN 0262-8856. doi:10.1016/j.imavis.2020.103910.

ieee.org (Global: 912th place; Czech: 826th place)

ieeexplore.ieee.org

  • KUMAR, Teerath; BRENNAN, Rob; MILEO, Alessandra. Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions. IEEE Access. 2024, roč. 12, s. 187536–187571. Dostupné online [cit. 2025-01-25]. ISSN 2169-3536. doi:10.1109/ACCESS.2024.3470122.
  • BIRD, Jordan J.; PRITCHARD, Michael; FRATINI, Antonio. Synthetic Biological Signals Machine-Generated by GPT-2 Improve the Classification of EEG and EMG Through Data Augmentation. IEEE Robotics and Automation Letters. 2021-04, roč. 6, čís. 2, s. 3498–3504. Dostupné online [cit. 2025-01-16]. ISSN 2377-3766. doi:10.1109/LRA.2021.3056355.

jair.org (Global: low place; Czech: low place)

  • CHAWLA, N. V.; BOWYER, K. W.; HALL, L. O. SMOTE: Synthetic Minority Over-sampling Technique. Journal of Artificial Intelligence Research. 2002-06-01, roč. 16, s. 321–357. Dostupné online [cit. 2025-01-16]. ISSN 1076-9757. doi:10.1613/jair.953. (anglicky)

mdpi.com (Global: 1,887th place; Czech: 372nd place)

nih.gov (Global: 5th place; Czech: 8th place)

ncbi.nlm.nih.gov

pmc.ncbi.nlm.nih.gov

  • WANG, Shujuan; DAI, Yuntao; SHEN, Jihong. Research on expansion and classification of imbalanced data based on SMOTE algorithm. Scientific Reports. 2021-12-15, roč. 11. Dostupné v archivu pořízeném z originálu dne 2024-11-21. doi:10.1038/. (anglicky)

sciencedirect.com (Global: 137th place; Czech: 75th place)

  • Data Augmentation - an overview | ScienceDirect Topics. www.sciencedirect.com [online]. [cit. 2025-01-30]. Dostupné online.

springer.com (Global: 182nd place; Czech: 137th place)

link.springer.com

web.archive.org (Global: 1st place; Czech: 1st place)

  • WANG, Shujuan; DAI, Yuntao; SHEN, Jihong. Research on expansion and classification of imbalanced data based on SMOTE algorithm. Scientific Reports. 2021-12-15, roč. 11. Dostupné v archivu pořízeném z originálu dne 2024-11-21. doi:10.1038/. (anglicky)
  • Albumentations Documentation - What is image augmentation. albumentations.ai [online]. [cit. 2025-01-29]. Dostupné v archivu pořízeném dne 2025-01-15. (anglicky)

worldcat.org (Global: 4th place; Czech: 2nd place)