14 citations · 39 across the 12 of their papers we have counts for
12 papers
Empowering Learner-Centered Instruction: Integrating ChatGPT Python API and Tinker Learning for Enhanced Creativity and Problem-Solving Skills
Yun-Cheng Tsai
The ChatGPT Python API plays a crucial role in promoting Learner-Centered Instruction (LCI) and aligns with the principles of Tinker Learning, allowing students to discover their l…
Empowering Young Learners to Explore Blockchain with User-Friendly Tools: A Method Using Google Blockly and NFTs
Yun-Cheng Tsai, Jiun-Yu Huang, Da-Ru Chiou
As blockchain technology continues to gain attention, there is a growing need to make it more accessible to young learners in K-12 education. However, the technical complexity and…
The Value Chain of Education Metaverse
Yun-Cheng Tsai
Since the end of 2021, the Metaverse has been booming. Many unknown possibilities are gradually being realized, but many people only determined that they use Virtual Reality (VR),…
Financial Vision Based Reinforcement Learning Trading Strategy
Yun-Cheng Tsai, Fu-Min Szu, Jun-Hao Chen +1
Recent advances in artificial intelligence (AI) for quantitative trading have led to its general superhuman performance in significant trading performance. However, the potential r…
Dynamic Deep Convolutional Candlestick Learner
Jun-Hao Chen, Yun-Cheng Tsai
Candlestick pattern is one of the most fundamental and valuable graphical tools in financial trading that supports traders observing the current market conditions to make the prope…
Financial Vision Based Differential Privacy Applications
Jun-Hao Chen, Yi-Jen Wang, Yun-Cheng Tsai +1
The importance of deep learning data privacy has gained significant attention in recent years. It is probably to suffer data breaches when applying deep learning to cryptocurrency…
Adversarial Robustness of Deep Convolutional Candlestick Learner
Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai +1
Deep learning (DL) has been applied extensively in a wide range of fields. However, it has been shown that DL models are susceptible to a certain kinds of perturbations called \emp…
Data Augmentation for Deep Candlestick Learner
Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen +1
To successfully build a deep learning model, it will need a large amount of labeled data. However, labeled data are hard to collect in many use cases. To tackle this problem, a bun…
Explainable Deep Convolutional Candlestick Learner
Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai +1
Candlesticks are graphical representations of price movements for a given period. The traders can discovery the trend of the asset by looking at the candlestick patterns. Although…
Deep Reinforcement Learning for Foreign Exchange Trading
Yun-Cheng Tsai, Chun-Chieh Wang
Reinforcement learning can interact with the environment and is suitable for applications in decision control systems. Therefore, we used the reinforcement learning method to estab…
Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks
Jun-Hao Chen, Yun-Cheng Tsai
Candlestick charts display the high, low, opening, and closing prices in a specific period. Candlestick patterns emerge because human actions and reactions are patterned and contin…
Predict Forex Trend via Convolutional Neural Networks
Yun-Cheng Tsai, Jun-Hao Chen, Jun-Jie Wang
Deep learning is an effective approach to solving image recognition problems. People draw intuitive conclusions from trading charts; this study uses the characteristics of deep lea…