Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Wallapak Tavanapong"'
IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models
Autor:
Mohammed Khaleel, Lei Qi, Wallapak Tavanapong, Johnny Wong, Adisak Sukul, David A. M. Peterson
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-14 (2022)
Abstract Recent advances in deep neural networks have achieved outstanding success in natural language processing tasks. Interpretation methods that provide insight into the decision-making process of these models have received an influx of research
Externí odkaz:
https://doaj.org/article/5efa4849d9484c91a08f40a27c39b748
Autor:
Wallapak Tavanapong, JungHwan Oh, Michael A. Riegler, Mohammed Khaleel, Bhuvan Mittal, Piet C. de Groen
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 26:3950-3965
During the past decades, many automated image analysis methods have been developed for colonoscopy. Real-time implementation of the most promising methods during colonoscopy has been tested in clinical trials, including several recent multi-center st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fe673d331815d557b8dba0688753466
https://doi.org/10.1109/jbhi.2022.3160098
https://doi.org/10.1109/jbhi.2022.3160098
Publikováno v:
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2048b7cafb7e79c1ecfabe23f2706225
https://doi.org/10.5220/0011749100003414
https://doi.org/10.5220/0011749100003414
Publikováno v:
Policy Studies Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da7ed6612485c84fa68f9676e9e24292
https://doi.org/10.1111/psj.12485
https://doi.org/10.1111/psj.12485
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8543a8abeff35919676ba5bf6f7cad79
https://doi.org/10.1109/icip46576.2022.9897357
https://doi.org/10.1109/icip46576.2022.9897357
Autor:
Wallapak Tavanapong, Minh Tran
Publikováno v:
Proceedings of The 17th International Symposium on Computer and Information Sciences ISBN: 9780429332821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ac3f93787eb5a694da3d9a3589c24d4
https://doi.org/10.1201/9780429332821-14
https://doi.org/10.1201/9780429332821-14
Autor:
Wallapak Tavanapong, Jacob Pratt, JungHwan Oh, Mohammed Khaleel, Johnny S. Wong, Piet C. de Groen
Publikováno v:
Biomedical Signal Processing and Control. 83:104609
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58dca85ab1fd734a8b40ae5ce66fe36f
https://doi.org/10.1016/j.bspc.2023.104609
https://doi.org/10.1016/j.bspc.2023.104609
Publikováno v:
Advances in Visual Computing ISBN: 9783031207129
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb153e07cfd55ce12ca167312a6dcac3
https://doi.org/10.1007/978-3-031-20713-6_33
https://doi.org/10.1007/978-3-031-20713-6_33
Publikováno v:
CBMS
Most state-of-the-art local interpretation methods explain the behavior of deep learning classification models by assigning importance scores to image pixels based on how influential each pixel was towards the final decision. These interpretations ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88630773903c41ca4560c5ebf9ecf2ce
https://doi.org/10.1109/cbms52027.2021.00012
https://doi.org/10.1109/cbms52027.2021.00012
Publikováno v:
Multimedia Tools and Applications. 78:21731-21758
In recent years, more and more image retargeting techniques have been proposed to facilitate our daily life, in particular those based on the use of seam carving, warping or the combination of them. However, these techniques can only retarget the sou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::232a1c014bb73703f88b210656b3bdd4
https://doi.org/10.1007/s11042-019-7462-2
https://doi.org/10.1007/s11042-019-7462-2