E-LIB Suche - Ergebnisse für: Lin, Shou-De

1

Unilateral boundary time series forecasting:

Chang, Chao-Min ; Li, Cheng-Te ; Lin, Shou-De
Frontiers in Big Data. 7 (2024) - p. , 2024

Link: https://doi.org/10.3389/..

2

Handling Concept Drift in Non-stationary Bandit Through Pre..:

, In: Lecture Notes in Computer Science; Trends and Applications in Knowledge Discovery and Data Mining,

Tsai, Yun-Da ; Lin, Shou-De - p. 161-173 , 2024

Link: https://doi.org/10.1007/..

3

lil'HDoC: An Algorithm for Good Arm Identification Under Sm..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,

Tsai, Tzu-Hsien ; Tsai, Yun-Da ; Lin, Shou-De - p. 78-89 , 2024

Link: https://doi.org/10.1007/..

4

Incremental Data Drifting: Evaluation Metrics, Data Generat..:

Pai, Yu-Tung ; Sun, Nien-En ; Li, Cheng-Te.
ACM Transactions on Intelligent Systems and Technology. , 2024

Link: https://doi.org/10.1145/..

5

GraphFC: Customs Fraud Detection with Label Scarcity:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,

Singh, Karandeep ; Tsai, Yu-Che ; Li, Cheng-Te.. - p. 4829-4835 , 2023

Link: https://dl.acm.org/doi/1..

6

UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledg..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,

Tseng, Yen-Ching ; Chen, Zu-Mu ; Yeh, Mi-Yen. - p. 53-65 , 2023

Link: https://doi.org/10.1007/..

7

Pseudo Triplet Networks for Classification Tasks with Cross..:

, In: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management,

Liow, Cayon ; Li, Cheng-Te ; Yang, Chun-Pai. - p. 4079-4083 , 2023

Link: https://dl.acm.org/doi/1..

8

Learning Privacy-Preserving Embeddings for Image Data to Be..:

Li, Chu-Chen ; Li, Cheng-Te ; Lin, Shou-De
ACM Transactions on Intelligent Systems and Technology. , 2023

Link: https://doi.org/10.1145/..

9

Conditional Sentence Rephrasing without Parallel Training C..:

, In: 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW),

Lee, Yen-Ting ; Li, Cheng-Te ; Lin, Shou-De - p. 1-1 , 2022

Link: https://doi.org/10.1109/..

10

Bayesian mixture variational autoencoders for multi-modal l..:

Liao, Keng-Te ; Huang, Bo-Wei ; Yang, Chih-Chun.
Machine Learning. 111 (2022) 12 - p. 4329-4357 , 2022

Link: https://doi.org/10.1007/..

11

SMITH: A Self-supervised Downstream-Aware Framework for Mis..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,

Yang, Chih-Chun ; Li, Cheng-Te ; Lin, Shou-De - p. 499-510 , 2022

Link: https://doi.org/10.1007/..

12

Towards ℓ1 Regularization for Deep Neural Networks: Model S..:

, In: 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA),

Shen, Ta-Chun ; Yang, Chun-Pai ; Yen, Ian En-Hsu. - p. 1-9 , 2022

Link: https://doi.org/10.1109/..

13

Toward an Effective Black-Box Adversarial Attack on Functio..:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,

Tsai, Yun-Da ; Chen, ChengKuan ; Lin, Shou-De - p. 4165-4172 , 2021

Link: https://dl.acm.org/doi/1..

14

EMI for information engineering students:

, In: Rethinking EMI,

Chen, Sally ; Lin, Shou-De - p. 42-60 , 2021

Link: https://doi.org/10.4324/..

15

Unseen Filler Generalization In Attention-based Natural Lan..:

, In: 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI),

Chen, Chin-Hui ; Fu, Yi-Fu ; Cheng, Hsiao-Hua. - p. 42-51 , 2020

Link: https://doi.org/10.1109/..