胡毓志

AJAMT: A Real-Time Interactive Multi-Instrument Accompaniment Generation System for Human-AI Collaborative Jam Sessions using Large Language Model Agents

資訊科學與工程研究所・共同指導：袁賢銘

大語言模型、即時互動式伴奏、雙智能體協作、即時緩衝區、ABC 記譜法、延遲解耦、Large Language Models、Agentic System、Real-time Accompaniment、ABC Notation、Latency Decoupling

Optimizing GNN-Based Social Recommendations on DPU-Based PIM devices

網路工程研究所・共同指導：吳俊峯

圖神經網路、社交推薦系統、社群圖、記憶體中處理、負載平衡、向量重用、graph Neural Network、social recommendation systems、processing- in-Memory、load balance、vector reuse

Application of Explainable Machine Learning to Medical Diagnosis: Case Studies of Periprosthetic Joint Infection and Candidemia

資訊科學與工程研究所・共同指導：李昕潔、郭峯志

人工關節周圍感染、念珠菌血症、堆疊泛化模型、可解釋機器學習、Periprosthetic Joint Infection、Candidemia、Stacked Generalization Models、Explainable Machine Learning

Feasibility Analysis of Applying Machine Learning to Medical Diagnosis: A Case Study of Lung Adenocarcinoma Classification

資訊科學與工程研究所

機器學習、資料融合、特徵挑選、不平衡處理、多模態學習、Machine Learning、Data Fusion、Feature Selection、Imbalance Handling、Multi-modal Learning

Applying Fine-Grained Classification For Knee Osteoarthritis Prediction

資訊科學與工程研究所

神經網路、醫療影像分析、細粒度分類、膝蓋退化性關節炎、X光影像、Neural Networks、Medical Images Analysis、Fine-Grained Classification、Knee Osteoarthritis、X-ray Image

Automatic Strawberry Anthracnose Estimation via EfficientNet-B2 with CBAM

數據科學與工程研究所

深度學習、神經網路、EfficientNet、草莓炭疽病檢測、CBAM、Neural Networks、Deep Learning、Strawberry Anthracnose、Convolution Block Attention Network

Enhancing Protein-Protein Interaction Prediction with Protein Language Models and Gene Ontology Embeddings

生醫工程研究所

蛋白質-蛋白質交互作用、蛋白質語言模型、嵌入、異質特徵、複合表示、機器學習、Protein-Protein Interaction、Protein Language Model、Embedding、heterogeneous feature、composite representation、Machine Learning

Web-based Prosthesis Joint Infection Diagnostic System: Frontend and Backend Development Using Docker and Machine Learning

智慧醫電工程研究所

資料探勘、機器學習、集成學習、全端開發、視覺化互動、data mining、machine learning、ensemble learning、full-stack development、Docker、interactive visualization

Applying BERT Semantic Embedding for Session-Based Music Recommendation

數據科學與工程研究所・共同指導：張書銘

神經網路、序列推薦、音樂、基於內容的推薦、推薦系統、Neural Networks、Session-based Recommendations、Music、Content-based Recommendations、Recommendations

Application of Machine Learning in Brainwave Emotion Discrimination

生醫工程研究所

腦波、情緒識別、機器學習、深度學習、Two-stage模型、特徵提取、通道篩選、Brainwaves、Emotion recognition、Machine learning、Deep learning、Two-stage model、Feature extraction、Channel selection

Detecting the Local Advanced Rectal Cancer from CT Images by Deep Learning Methods

多媒體工程研究所・共同指導：盧鴻興

局部晚期直腸癌、CT、卷積神經網絡、深度學習、LARC、CNN、deep learning

Analyzing the relationship between player styles and scaffolding behaviors in game-based learning: A case study of Minecraft Game Playin

資訊科學與工程研究所・共同指導：孫春在

遊戲式學習、鷹架、學習風格、遊戲風格、相關性分析、多元回歸分析、Game-based learning、scaffolding、learning styles、player styles、correlation analysis、multiple regression analysis

Application of Deep Learning on Stock Technical Indicator : Improving Loss Function for Return on Investment

資訊科學與工程研究所

深度學習、股票、技術分析、Deep Learning、Stock、Technical analysis

Detecting Protein-Protein Interaction and Binding Residues Using a Hybrid Feature Representation and a Stacked Meta-Learning Scheme

資訊科學與工程研究所

蛋白質、胺基酸、蛋白質交互作用、蛋白質結合區塊、複合式特徵、堆疊型後設學習法、protein、amino acid、protein–protein interaction、protein binding site、hybrid feature、stacked generalization

Machine Learning-Based Residue–Residue Interaction Prediction

生醫工程研究所

殘基–殘基交互作用、堆疊泛化、機器學習、residue–residue interactions、stacked generalization、machine learning

Simulation-based Ensemble Active Learning

數據科學與工程研究所

主動學習、整合、集成、動態、多臂吃角子老虎、模擬、Active Learning、Ensemble、Dynamic、Multi-Armed Bandit、Simulation

Adaptive Imputation by Generative Modeling

數據科學與工程研究所

資料探勘、機器學習、遺失值、填補缺值、生成模型、data mining、machine learning、missing data、imputation、generative models

Prediction of periprosthetic joint infection two-stage revision failure by machine learning

生醫工程研究所

機器學習、人工關節周邊假體感染、兩階段翻修手術、Machine Learning、Periprosthetic joint infection、Two-stage revision

Application of Machine Learning to Diagnosis of Periprosthetic Joint Infection: Comparison between Ensemble Meta Machine Learning and 2018 International Consensus Meeting Scoring System

數據科學與工程研究所

機器學習、資料探勘、Explainable AI、Stacking

A Study on Predicting Alzheimer's Disease Using Machine Learning

數據科學與工程研究所

阿茲海默症、機器學習、分類技術、Alzheimer's disease、machine learning、classification

Evolutionary Path Simulation for Influenza A Viruses

生醫工程研究所

A型流感病毒、演化、突變、模擬、Influenza A Viruses、Evolution、Mutation、Simulation

Protein-protein interaction prediction using meta-learning

數據科學與工程研究所

蛋白質相互作用、機器學習、基因本體論、protein-protein interaction、meta-learning、gene ontology

Application of Data Mining to Blood Pressure Prediction in Surgery

生醫工程研究所

病人手術中血壓、時間序列預測、序列比對、卷積類神經網路、patient blood pressure during surgery、time series prediction、sequence alignment、convolution neural network

Using GPGPU to Accelerate A Distance-Based Learning Algorithm on A Bagging Architecture

資訊科學與工程研究所

監督式學習、分類法、以距離為基礎的學習法、Supervised learning、classification、(dis)similarity-based learning

Simulation Analysis of Influenza A Virus Sequence Evolution Based on EVT Adaptive Models

生醫工程研究所

A 型流感病毒、突變、演化路徑、模擬、influenza A viruses、mutation、evolutionary path、simulation

A Hybrid Music Recommendation System Based On Collective Matrix Factorization and Tag Semantics

資訊科學與工程研究所

推薦系統、協同過濾、矩陣分解、大眾分類法、recommendation system、collaborative filtering、matrix factorization

A Feasibility Study of Distance-Based Learning Algorithms That Utilize Labeled and Unlabeled Training Data

資訊科學與工程研究所

半監督式學習、已標記訓練資料、未標記訓練資料、假說、假說空間、Semi-supervised learning、labeled、unlabeled、hypothesis、hypothesis space

Prediction of Postoperative Nausea and Vomiting Using a Data Mining Approach

生醫工程研究所

病人自控麻醉裝置、術後噁心嘔吐、病人自控麻醉裝置之使用行為、patient-controlled-analgesia、postoperative nausea and vomiting、demand behavior

Applying Meta Decision Tree Approach to B-cell Epitope Prediction

資訊科學與工程研究所

B細胞表位、機器學習、表位預測、B cell epitope、machine-learning、epitope prediction

Label Propagation Through Distance Transformation and Its Applications to Biomedical Classification Problems

生醫工程研究所

半監督式學習、分類法、以距離為基礎的學習法、距離轉換、類別傳遞、Semi-supervised learning、classification、(dis)similarity-based learning、distance transformation、label propagation

Applying Distance Transformation to Pairwise Distance-based Active Learning

資訊科學與工程研究所

分類、轉導式、歸納式、主動學習、徵詢、classification、transductive、inductive、active learning、inquiry

Influenza A Virus Sequence Evolution Simulation based on EVT Adaptive Model

生醫工程研究所

A型流感病毒、演化模擬、適應演化、演化路徑、單次突變、環境模擬、Influenza A virus、evolution simulation、adaptive simulation、adaptive walk、evolution path、evolution trajectory、one-step mutation、environment simulation

A Meta Decision Tree combined with Blast Approach for Intrusion Detection

資訊科學與工程研究所

入侵偵測系統、BLAST、Meta決策樹、UNM 數據集、NSL-KDD數據集、IDS、MDT、UNM dataset、NSL-KDD dataset

Applying Local Expansion and Optimization to Overlapping Community Structure Detection and Analysis

資訊科學與工程研究所

社群結構偵測、區域式擴展與最佳化、種子節點、效益函數、Community structure detection、Local expansion and optimization、Seed Vertices、Benefit function

A Data Mining Approach for Patient-Controlled Analgesia Consumption Prediction

生醫工程研究所

病人自控麻醉裝置、病人自控麻醉裝置之使用行為、分群、分類、迴歸、patient-controlled-analgesia、PCA demand behavior、clustering、classification、regression

Prediction of Immune Diseases by Physicochemical Properties of Antigen Proteins

資訊科學與工程研究所

免疫疾病、免疫抗原、IEDB、資料探勘、物理化學屬性、屬性選擇、Immune-related diseases、Immunogen、Data mining、physicochemical features、feature selection

Identification and Cluster Analysis of Sequence Signature Mutations over Time in Influenza A Viruses.

生醫工程研究所

A型流感病毒、重要特徵位置、分群、Influenza A Viruses、ARI、Signature、Clustering

Applying Cascade Learning to B-cell Epitope Prediction

生醫工程研究所

機器學習、B細胞抗原表位預測、構象表位、線性表位、meta learning、B cell epitope prediction、conformational epitope、linear epitope

A Stacking Approach for B-cell Epitope Prediction

生醫工程研究所

B細胞表位、預測、機器學習、B-cell epitope、prediction、machine learning、meta learning

Applying Distance Transformation to Pairwise Distance-based Machine Learning.

生醫工程研究所

分類法、以距離為基礎的學習演算法、距離轉換、classification、(dis)similarity-based learning、distance transformation

Identification and Analysis of Sequence Signatures over time in Influenza A Viruses.

資訊科學與工程研究所

重要特徵位置、A型流感、時間軸演變、influenza A viruses、IAV、chronological、signatures

Super-Twisting Algorithm-Based Terminal Sliding Mode Control with Application to a Bioreactor System

生醫工程研究所

生物反應器系統、終端順滑模態控制、超扭曲演算法、bioreactor systems、terminal sliding mode control、super twisting algorithm

Predicting lysine acetylation site based on protein domain information and multilevel support vector machines

生醫工程研究所

賴胺酸乙醯化預測、機器學習、蛋白質區域、lysine acetylation prediction、machine learning、protein domain

Sequence Signature Finding and Analysis of Influenza A Viruses

資訊科學與工程研究所

A型流感病毒、重要特徵、Influenza A viruses、Signature、Adjusted Rand Index

A Locality Based Similarity Transformation Method for Clustering Algorithms

資訊科學與工程研究所

分群演算法、相似度轉換、凹凸形狀資料分布、維度縮減、Clustering algorithms、Similarity transformation、Non-convex shaped clusters、Dimensional reduction

Prediction of continuous B-cell epitopes using protein free energy associated with mutation-induced conformational changes

生醫工程研究所

B細胞表位、預測、突變、蛋白質自由能、epitope、prediction、point mutation、energy

Alignment of a sequence of EM images to form a three-dimensional volume data

生醫工程研究所・共同指導：荊宇泰

影像對位、電子顯微影像、Alignment、EM images