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Syahidah Izza Rufaida

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Journal Articles

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2023
[j3]
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  - https://dblp.org/rec/journals/access/RufaidaPLSK23
Syahidah Izza Rufaida, Tryan Aditya Putra, Jenq-Shiou Leu, Tian Song, Takafumi Katayama:
Looking Closer to the Transferability Between Natural and Medical Images in Deep Learning. IEEE Access 11: 79838-79850 (2023)
2020
[j2]
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Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu:
Enhanced Skin Condition Prediction Through Machine Learning Using Dynamic Training and Testing Augmentation. IEEE Access 8: 40536-40546 (2020)
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Syahidah Izza Rufaida, Jenq-Shiou Leu, Kuan-Wu Su, Azril Haniz, Jun-ichi Takada:
Construction of an indoor radio environment map using gradient boosting decision tree. Wirel. Networks 26(8): 6215-6236 (2020)

Conference and Workshop Papers

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2023
[c2]
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Syahidah Izza Rufaida, Jenq-Shiou Leu:
Adversarial Reprogramming as Natural Multitask and Compression Enabler. VTC2023-Spring 2023: 1-5
2021
[c1]
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Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu:
Enabling Large Scale Deep Learning on Smart Device by Exploiting Edge-Cloud Computational Paradigm. VTC Fall 2021: 1-5

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