學校開始上課。
新加坡科技設計大學Prof. Tony Quek演講(EC9032-2教室)。
碩士論文口試:
朱育承:針對不平衡數據集之XGBoost損失函式設計與比較(The Design and Comparison of XGBoost Loss Function for Imbalance Dataset)
鄭鈺城:以集成學習為基礎之心電圖偵測血鉀異常(Using ECG to detect Abnormal Blood Potassium based on Ensemble Learning)
莊凱崴:等價數據集之生成設計(The Design of Equivalent Dataset Generation)
陳立超:時序照片集之查找辨識(Search and Recognition of Time Series Dataset)
碩士論文口試:
葉明蓁:非可靠網路下之聯合學習自適性合成策略選擇(Adaptive Model Aggregation for Federated Learning under Unreliable Networks)
碩士論文口試:
李昱賢:在軟體定義網路中以多路徑適應性路由支援MDC流量傳輸(Multipath Adaptive Routing in Software Defined Network for Multiple Description Coding Traffic)
碩士論文口試:
林佳誼:可攜式快速神經網路架構搜尋之實作(Implementation of the Portable Fast Platform-Aware Neural Architecture Search)
黃柏健:網路壅塞控制效能測量與分析(Network congestion control performance measure and analysis)
2023-08-11
碩士論文口試
陳守倫:用於時間序列分類之集成學習方法:以心電圖為例(Ensemble-based Algorithms for Time Series Classification: A Case Study of Electrocardiography)
洪宗啟:基於集成學習之不平衡醫療數據分類法:以川崎氏症為例(Ensemble Learning Strategies for Improving the Performance of Medical Data Classification on Imbalanced Datasets: A Case Study of Kawasaki Disease)
黃立至:設計並實作以NFT為基礎之去中心化資料交易平台(Design and Implement a Decentralized Data Marketplace Based on NFT)
王昱翔:以圖神經網路為基礎之方法解決時間序列分類問題(A Graph Neural Network Based Approach for Time Series Classification Problems)
2023-09-04
2023-09-05
碩士論文口試
周德昀:深度學習處理非平衡影像分類問題:以獵場動物辨識為例(Solving Imbalanced Image Classification Problems Using Deep Learning: A Case Study in Recognizing Hunting Animals)
王楷翔:基於啟發式分群之不平衡數據的分類方法(Imbalance data classification method based on heuristic clustering)
許耀元:K-mean分群下陰性樣本減量以解決不平衡資料分類(A K-means clustering based under-sampling method for imbalanced dataset classification)
宋仕麒:基於通道和空間可靠性的DCF和KF演算法的移動物件追蹤(Moving target tracking based on Discriminative Correlation Filter with Channel and Spatial Reliability and Kalman filter algorithm)