Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data.

H. Xu, C. Li, M. Rahaman, Y. Yao, Z. Li, J. Zhang, F. Kulwa, X. Zhao, S. Qi, and Y. Teng. IEEE Access, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Norbert Kulwatz

Thomas Gregor Frank

Systemische Inflammationsmarker und Koronarkalzifizierungen im Mehrzeilenspiral-Computertomographen bei Patienten mit Verdacht auf koronare HerzkrankheitT. Frank. Uni Erlangen-Nürnberg, (2009)

Peter Franke

Designing embodied interactive software agents for e-learning: principles, components, and rolesP. Franke. Uni Marburg, (2008)

Frank Frank

Katrin Fränkel

Other publications of authors with the same name

A Multi-scale CNN-CRF Framework for Environmental Microorganism Image Segmentation.J. Zhang, C. Li, F. Kulwa, X. Zhao, C. Sun, Z. Li, T. Jiang, and H. Li. CoRR, (2020)An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data.H. Xu, C. Li, M. Rahaman, Y. Yao, Z. Li, J. Zhang, F. Kulwa, X. Zhao, S. Qi, and Y. Teng. IEEE Access, (2020)A Multidataset Characterization of Window-Based Hyperparameters for Deep CNN-Driven sEMG Pattern Recognition.F. Kulwa, H. Zhang, O. Samuel, M. Asogbon, E. Scheme, R. Khushaba, A. McEwan, and G. Li. IEEE Trans. Hum. Mach. Syst., 54 (1): 131-142 (February 2024)DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.M. Rahaman, C. Li, Y. Yao, F. Kulwa, X. Wu, X. Li, and Q. Wang. Comput. Biol. Medicine, (2021)A Novel Duo-Stage driven Deep Neural Network Approach for Mitigating Electrode Shift Impact on Myoelectric Pattern Recognition Systems.F. Kulwa, O. Samuel, M. Asogbon, T. Oyemakinde, O. Obe, and G. Li. MeMeA, page 1-6. IEEE, (2023)Foldover Features for Dynamic Object Behaviour Description in Microscopic Videos.X. Li, C. Li, F. Kulwa, M. Rahaman, W. Zhao, X. Wang, D. Xue, Y. Yao, Y. Cheng, J. Li and 2 other author(s). IEEE Access, (2020)Inspection of EEG Signals for Noninvasive Blood Glucose Monitoring in Prediabetes Diagnosis.T. Igbe, O. Samuel, J. Li, F. Kulwa, A. Kandwal, and Z. Nie. MeMeA, page 1-5. IEEE, (2023)Segmentation of Weakly Visible Environmental Microorganism Images Using Pair-wise Deep Learning Features.F. Kulwa, C. Li, M. Grzegorzek, M. Rahaman, K. Shirahama, and S. Kosov. CoRR, (2022)Enhanced Deep Transfer Learning Model based on Spatial-Temporal driven Scalograms for Precise Decoding of Motor Intent in Stroke Survivors.O. Samuel, M. Asogbon, F. Kulwa, A. Zangene, T. Oyemakinde, T. Igbe, A. McEwan, Y. Li, and G. Li. EMBC, page 1-4. IEEE, (2023)Segmentation of weakly visible environmental microorganism images using pair-wise deep learning features.F. Kulwa, C. Li, M. Grzegorzek, M. Rahaman, K. Shirahama, and S. Kosov. Biomed. Signal Process. Control., 79 (Part): 104168 (2023)

BibSonomy

Disambiguation of "Kulwa, Frank"