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Journal Articles
- 2021
[j5]Vladimir Polovnikov, Dmitriy Alekseev
, Ivan Vinogradov, George V. Lashkia:
DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation. IEEE Access 9: 125714-125723 (2021)- 2007
- [j4]George V. Lashkia, Laurence Anthony, Hiroyasu Koshimizu:
Classification Rule Extraction Based on Relevant, Irredundant Attributes and Rule Enlargement. J. Adv. Comput. Intell. Intell. Informatics 11(4): 389-395 (2007) - 2004
- [j3]George V. Lashkia, Laurence Anthony:
Relevant, irredundant feature selection and noisy example elimination. IEEE Trans. Syst. Man Cybern. Part B 34(2): 888-897 (2004) - 2003
- [j2]George V. Lashkia, Laurence Anthony:
An inductive learning method for medical diagnosis. Pattern Recognit. Lett. 24(1-3): 273-282 (2003) - 2001
- [j1]George V. Lashkia:
Defect detection in X-ray images using fuzzy reasoning. Image Vis. Comput. 19(5): 261-269 (2001)
Conference and Workshop Papers
- 2003
- [c5]George V. Lashkia, Laurence Anthony:
Learning by Discovering Conflicts. AI 2003: 492-497 - [c4]Takuma Funahashi, Tsuyoshi Yamaguchi, Masafumi Tominaga, George V. Lashkia, Hiroyasu Koshimizu:
Face Tracking System with Fixed CCD and PTZ Camera. KES 2003: 904-910 - 2002
- [c3]George V. Lashkia:
A Noise Filtering Method for Inductive Concept Learning. AI 2002: 79-89 - [c2]George V. Lashkia:
Learning with Relevant Features and Examples. ICPR (2) 2002: 68-71 - 2001
- [c1]George V. Lashkia:
Learning with only the relevant features. SMC 2001: 298-303
Coauthor Index
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