ScholarWorks@Gyeongsang National University: Seok-Jun, Buu

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Seok-Jun, Buu (부석준)

IT공과대학 (컴퓨터공학부)

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Tel 0557721382
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Deep learning:11||deep learning:8||Triplet network:8||Convolutional neural network:6||딥러닝:4||딥 러닝:3||triplet network:3||Malware classification:3||phishing detection:3||representation learning:3||4D functional magnetic resonance imaging:2||graph neural network:2||Malicious software:2||Graph embedding:2||Graph neural network:2||Metric learning:2||Deep Learning:2||Zeroday attack:2||Representation learning:2||learning classifier system:2||anomaly detection:2||metric learning:2||Continual learning:2||Mutagenic prediction:2||NER:2||Convolutional recurrent neural network:2||BSR (Buzz:2||Cryptocurrency:2||Defect detection:2||웨이브 유넷 신경망:2||phishing URL classification:2||convolutionalrecurrent triplet network:2||prototypical network:2||cryptocurrency security:2||Cybersecurity:2||cybersecurity:2||rolebased access control:2||Invehicle noise classification:2||Generative adversarial network:2||database intrusion detection:2||Autoencoder:2||Smartphone glass inspection:2||deep metric learning:2||Genetic algorithm:2||Control flow graph:2||Anomaly detection:2||Squeak:2||Data models:2||Phishing URL detection:2||Timeseries forecasting:2||Database intrusion detection:2||Transfer learning:2||Database management system:2||fraud detection:2||Transformer encoder:2||genetic algorithm:2||Transformer network:2||Triplet Network:2||Genetic algorithms:1||Genetic optimization:1||Glucose level prediction:1||Graph autoencoder:1||Graph convolution network:1||Graph convolutional network:1||Graph partitioning:1||Graph partitioning algorithm:1||HTML Clustering:1||HTML 클러스터링:1||Hardtriplets sampling:1||Image preprocessing:1||Impact noise:1||Invehicle:1||Invehicle noise:1||Intrusion detection:1||LLM Prompting:1||Large Language Model:1||Leakage Detection:1||Learnable Beamformer:1||Learnable beamformer:1||Learning classifier system:1||Logic Programming:1||Machine Learning:1||Memory management:1||Metric fewshot learning:1||Modular Bayesian network:1||Monte Carlo search:1||Multichannel Invehicle Noise:1||Multichannel sensor array:1||Natural Language Processing:1||Neural network:1||Neurosymbolic integration:1||Neurosymbolic reasoning:1||Neurosymbolic Integration:1||Noise Robustness:1||Noise measurement:1||Nonoptical human activity recognition:1||Pedestrian video:1||Phishing:1||Phishing Detection:1||Phishing detection:1||Portfolio management:1||Pose estimation:1||Predictive models:1||Prototypes:1||Prototypical network:1||Qnetwork:1||Random Word Replacement:1||Rattle) classification:1||Rattle) 분류:1||Robustness:1||Robustness to noise:1||Rolebased access control:1||SCUTFBP:1||STFT알고리즘:1||SameTag Replacement:1||Scam detection:1||Scene graph:1||Selfsupervised learning:1||Shorttime Fourier Transform (STFT) Algorithm:1||Signal augmentation:1||Signal classification:1||Similaritybased Clustering:1||Speaker Identification:1||Speech Recognition:1||Speechguided Drone Control:1||Task analysis:1||Template Recommendation System:1||Training:1||Transferlearning:1||Triplet learning:1||Triplet loss:1||Triplet sampling:1||URL classification:1||Video anomaly detection:1||Visual questionanswering:1||WiFi vision:1||acoustic classification:1||adaptive classifier:1||attack path sampling:1||autism spectrum disorder:1||autoencoder:1||blockchain:1||control flow graph:1||convolution neural network:1||convolutional autoencoder:1||convolutional recurrent neural network:1||cryptocurrency transaction network:1||cybersecurity applications:1||cyberspace security:1||database security:1||deep learning optimization:1||depression prediction:1||disentangled representation learning:1||distortion restoration:1||dynamic connectivity:1||dynamic memory replay:1||energy consumption prediction:1||ensemble classifier:1||facial beauty prediction:1||feature selection:1||fewshot learning (FSL):1||generative adversarial network:1||graph convolution network:1||graph convolutional network:1||graph embedding:1||graph transformer:1||graph traversing:1||hyperparameter optimization (HPO):1||image recognition:1||invehicle noise:1||inception network:1||information security:1||insider intrusion detection:1||intrusion detection:1||life logging:1||machine learning:1||malware detection:1||model decay:1||multi head selfattention:1||multiheaded attention:1||multimodal integration:1||multimodal feature integration:1||neurosymbolic integration:1||node classification:1||phishing webpage detection:1||proximal policy optimization (PPO):1||reinforcement learning (RL):1||reinforcement learningbased sampling:1||scam detection:1||selfsupervised learning:1||semantic network:1||sensory processing:1||speech enhancement:1||timeseries forecasting:1||transfer learning:1||transformer:1||transformer network:1||triplet loss:1||ultrasound distortion restoration:1||user query feature extraction:1||visual question and answering:1||wave UNet:1||wave unet:1||zeroday attack:1||공격 경로 샘플링:1||그래프 임베딩:1||그래프 컨볼루션:1||그래프 트랜스포머:1||기계 학습:1||내부자 침입탐지:1||누수 감지:1||뉴로심볼릭 결합:1||다중 자가집중 신경망:1||단어 무작위 교체:1||데이터 증강:1||데이터베이스 보안:1||데이터베이스 침입 탐지:1||동일테그교체:1||동적 연결성:1||라이프 로깅:1||사용자 질의특징추출:1||사이버보안:1||센서 정보 처리:1||시각적 질의응답:1||시멘틱 네트워크:1||심층 삼중항 신경망:1||심층 언어모델:1||심층 표현형학습:1||악성코드 탐지:1||역할 기반 접근 제어:1||오디오 왜곡 복구:1||오토인코더:1||우울감 예측:1||유사도 기반 클러스터링:1||음성인식 개선:1||이상 탐지:1||이상치 탐지:1||인셉션 네트워크:1||자연어 처리:1||자폐 스페트럼 장애:1||잡음 강건성:1||적응적 분류기:1||전자책:1||제어 흐름 그래프:1||차량 소음:1||초음파 신호 왜곡 복구:1||컨볼루션 신경망:1||컨볼루션순환 트리플렛 신경망:1||컨볼루션신경망:1||템플릿 추천 시스템:1||트리플렛 신경망:1||표현형 학습:1||피싱URL 분류:1||학습 분류기 시스템:1||3D CNN:1||화자식별:1||4D 자기 공명 영상:1||Accuracy:1||Acoustic Modeling:1||Acoustic classification:1||Acoustics:1||Adaptation models:1||Adversarial attacks:1||Analytical models:1||Anchor:1||Anomaly Detection:1||Association rule mining:1||Attention mechanism:1||Audio classification:1||Augmentation:1||Autism spectrum disorder:1||Automotive noise:1||Autonomous Systems:1||Benchmark testing:1||Blockchains:1||CCTV surveillance:1||CCTV 감시:1||Class activation map:1||Clustering:1||Computational modeling:1||Continuing education:1||Continuous glucose monitoring:1||Convolutional Neural Network (CNN):1||Convolutional Neural Networks:1||Convolutional neural networks:1||Convolutional transformer network:1||DLM:1||Data Augmentation:1||Data augmentation:1||Deep Boltzmann Machine:1||Deep acoustic modeling:1||Deep learning ensemble:1||Deep metric learning:1||Deep reinforcement learning:1||DeepWalk:1||Denoising diffusion probabilistic model:1||Disentangled representation:1||Disentanglement:1||Disentanglement representation:1||Dynamic connectivity:1||Ebook:1||Empirical Mode Decomposition:1||Energy consumption prediction:1||Energy demand prediction:1||Expert Knowledge:1||Explainable deep learning:1||Facial features:1||Feature extraction:1||Few shot learning:1||Fewshot learning:1||Fraud:1||Fuzzy logic:1||Generative replay:1||

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