논문 목록
Issue Date Title Journals
2024-03 An evolutionary functional link artificial neural network for assessment of compressive strength of concrete structures Ain Shams Engineering Journal
2024-01 Enhancing Road Safety and Cybersecurity in Traffic Management Systems: Leveraging the Potential of Reinforcement Learning IEEE ACCESS
2024-01 Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting Financial Innovation
2023-12 Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends Information Fusion
2023-11 A Subgraph Embedded GIN with Attention for Graph Classification Lecture Notes in Computer Science
2023-11 Triplet-trained graph transformer with control flow graph for few-shot malware classification Information Sciences
2023-10 미시간 스타일 심층 학습 분류기 시스템 기반 적응적 데이터베이스 침입 탐지 정보과학회논문지
2023-10 Malware classification with disentangled representation learning of evolutionary triplet network Neurocomputing
2023-09 Adversarial Discriminator to Mitigate Gender Bias in Abusive Language Detection Frontiers in Artificial Intelligence and Applications
2023-08 A Causally Explainable Deep Learning Model with Modular Bayesian Network for Predicting Electric Energy Demand Lecture Notes in Computer Science
2023-08 Phishing URL Detection with Prototypical Neural Network Disentangled by Triplet Sampling Lecture Notes in Networks and Systems
2023-08 제어 흐름 기반 그래프 트랜스포머를 이용한 악성코드 공격의 기능적 특징 학습 정보과학회논문지
2023-07 GREAD: Graph Neural Reaction-Diffusion Networks Proceedings of Machine Learning Research
2023-07 A residual graph convolutional network with spatio-temporal features for autism classification from fMRI brain images Applied Soft Computing Journal
2023-06 An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting IEEE Access
2023-05 뉴로-심볼릭 방법을 사용한 CCTV 감시의 시각적 질의응답 시스템 정보과학회 컴퓨팅의 실제 논문지
2023-04 Predicting Residential Energy Consumption by Explainable Deep Learning with Long-Term and Short-Term Latent Variables Cybernetics and Systems
2023-04 A graph convolution network with subgraph embedding for mutagenic prediction in aromatic hydrocarbons Neurocomputing
2023-03 노년층 우울감 예측을 위한 시맨틱 네트워크기반 도메인 지식과 그래프 컨볼루션 결합 정보과학회논문지
2023-01 CRODNM: Chemical Reaction Optimization of Dendritic Neuron Models for Forecasting Net Asset Values of Mutual Funds Communications in Computer and Information Science
2022-12 Intelligent Financial Forecasting With an Improved Chemical Reaction Optimization Algorithm Based Dendritic Neuron Model IEEE Access
2022-12 Insider attack detection in database with deep metric neural network with Monte Carlo sampling Logic Journal of the IGPL
2022-11 A Vision Transformer Enhanced with Patch Encoding for Malware Classification Lecture Notes in Computer Science
2022-11 Gradient Regularization with Multivariate Distribution of Previous Knowledge for Continual Learning Lecture Notes in Computer Science
2022-09 A Neuro-Symbolic AI System for Visual Question Answering in Pedestrian Video Sequences Lecture Notes in Computer Science
2022-09 Evolutionary Triplet Network of Learning Disentangled Malware Space for Malware Classification Lecture Notes in Computer Science
2022-09 Cross-Domain Adaptation Using Domain Interpolation for Rotating Machinery Fault Diagnosis IEEE Transactions on Instrumentation and Measurement
2022-08 Towards effective detection of elderly falls with CNN-LSTM neural networks NEUROCOMPUTING
2022-08 An information theoretic approach to reducing algorithmic bias for machine learning NEUROCOMPUTING
2022-07 Ensemble of diverse deep neural networks with pseudo-labels for repayment prediction in social lending Science Progress
2022-07 회전 기계 고장 진단을 위한 적대적 순환 일관성 유지 학습기반 교차 도메인 적응 방법 정보과학회논문지
2022-05 상측두구의 동적 뇌 연결성 학습 기반 자폐 진단 시스템 정보과학회논문지
2022-03 Ensemble of Deep Convolutional Learning Classifier System Based on Genetic Algorithm for Database Intrusion Detection ELECTRONICS
2022-01 A deep neural network ensemble of multimodal signals for classifying excavator operations NEUROCOMPUTING
2022-01 Obfuscated Malware Detection Using Deep Generative Model based on Global/Local Features COMPUTERS & SECURITY
2021-12 Explainable prediction of electric energy demand using a deep autoencoder with interpretable latent space EXPERT SYSTEMS WITH APPLICATIONS
2021-12 A systematic analysis and guidelines of graph neural networks for practical applications EXPERT SYSTEMS WITH APPLICATIONS
2021-11 Directional Graph Transformer-Based Control Flow Embedding for Malware Classification Lecture Notes in Computer Science
2021-11 Learning Dynamic Connectivity with Residual-Attention Network for Autism Classification in 4D fMRI Brain Images Lecture Notes in Computer Science
2021-10 Optimizing CNN-LSTM neural networks with PSO for anomalous query access control NEUROCOMPUTING
2021-09 Deep CNN transferred from VAE and GAN for classifying irritating noise in automobile NEUROCOMPUTING
2021-07 Inference of Other’s Minds with Limited Information in Evolutionary Robotics INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
2021-07 Cross-Domain Fault Diagnosis of Rotating Machinery Using Discriminative Feature Attention Network IEEE Access
2021-06 Deep Character-Level Anomaly Detection Based on a Convolutional Autoencoder for Zero-Day Phishing URL Detection ELECTRONICS
2021-04 Clustered embedding using deep learning to analyze urban mobility based on complex transportation data PLOS ONE
2021-03 효과적인 음향잡음 제거를 위한 사전 훈련된 생성자를 사용하는 적대적 생성망 정보과학회논문지
2021-03 Extracting salient information from discarded features via attribute selection and pruning APPLIED SOFT COMPUTING
2021-02 Feature space transformation for fault diagnosis of rotating machinery under different working conditions SENSORS
2021-02 데이터베이스 내부자 공격탐지를 위한 사용자 질의의 분리표현 학습 정보과학회 컴퓨팅의 실제 논문지
2020-11 Electric Energy Demand Forecasting with Explainable Time-series Modeling IEEE International Conference on Data Mining Workshops, ICDMW
2020-11 Learning Disentangled Representation of Residential Power Demand Peak via Convolutional-Recurrent Triplet Network IEEE International Conference on Data Mining Workshops, ICDMW
2020-11 Generative Adversarial Network with Guided Generator for Non-stationary Noise Cancelation Lecture Notes in Computer Science
2020-10 A Deep Metric Neural Network with Disentangled Representation for Detecting Smartphone Glass Defects Lecture Notes in Computer Science
2020-10 Automated Learning of In-vehicle Noise Representation with Triplet-Loss Embedded Convolutional Beamforming Network Lecture Notes in Computer Science
2020-09 Time Series Forecasting with Multi-Headed Attention-Based Deep Learning for Residential Energy Consumption ENERGIES
2020-09 Unsupervised Functional Link Artificial Neural Networks for Cluster Analysis IEEE Access
2020-08 Detecting intrusion via insider attack in database transactions by learning disentangled representation with deep metric neural network Advances in Intelligent Systems and Computing
2020-08 Interpretable Deep Learning with Hybrid Autoencoders to Predict Electric Energy Consumption Advances in Intelligent Systems and Computing
2020-08 프레임 레벨 비디오 이상탐지를 위한 단일 클래스 적대학습 방법 정보과학회 컴퓨팅의 실제 논문지
2020-08 Evolutionary Reinforcement Learning for Adaptively Detecting Database Intrusions LOGIC JOURNAL OF THE IGPL
2020-08 Missing data imputation over academic records of electrical engineering students LOGIC JOURNAL OF THE IGPL
2020-06 3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
2020-06 시맨틱 네트워크 구조를 기반으로 한 라이프로그로부터 페트리넷을 이용한 패턴추출 정보과학회논문지
2020-05 A Monte Carlo Search-Based Triplet Sampling Method for Learning Disentangled Representation of Impulsive Noise on Steering Gear ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2020-05 Bayesian networks plus reinforcement learning: Controlling group emotion from sensory stimuli NEUROCOMPUTING
2020-02 Fair representation for safe artificial intelligence via adversarial learning of unbiased information bottleneck CEUR Workshop Proceedings
2020-02 A convolutional neural-based learning classifier system for detecting database intrusion via insider attack INFORMATION SCIENCES
2019-10 An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms APPLIED SOFT COMPUTING
2019-09 Predicting residential energy consumption using CNN-LSTM neural networks ENERGY
2019-08 성별의 알고리즘 편향성 감소를 위한 오토인코더 기반 딥러닝 모델 정보과학회논문지
2019-08 A personalized context-aware soft keyboard adapted by random forest trained with additional data of same cluster NEUROCOMPUTING
2019-08 Exploiting deep convolutional neural networks for a neural-based learning classifier system NEUROCOMPUTING
2019-08 Predicting repayment of borrows in peer-to-peer social lending with deep dense convolutional network EXPERT SYSTEMS
2019-05 An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS
2019-05 An ensemble semi-supervised learning method for predicting defaults in social lending ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
2019-02 전이 인코더-디코더 GAN을 이용한 음성 명령 인식 정보과학회 컴퓨팅의 실제 논문지
2019-02 Electric energy consumption prediction by deep learning with state explainable autoencoder ENERGIES
2019-01 Hierarchical modular Bayesian networks for low-power context-aware smartphone NEUROCOMPUTING
2018-11 Sensor information fusion by integrated AI to control public emotion in a cyber-physical environment SENSORS
2018-09 Zero-day malware detection using transferred generative adversarial networks based on deep autoencoders INFORMATION SCIENCES
2018-09 Web traffic anomaly detection using C-LSTM neural networks EXPERT SYSTEMS WITH APPLICATIONS
2018-08 Surrogate-Assisted Multi-objective Genetic Algorithms for Fuzzy Rule-Based Classification INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
2018-07 Short-time Fourier transform 소음맵을 이용한 컨볼루션기반 BSR (Buzz, Squeak, Rattle) 소음 분류 한국음향학회지
2018-06 STFT 소리맵을 이용한 컨볼루션 신경망 기반 화자식별 방법 정보과학회 컴퓨팅의 실제 논문지
2018-03 Fuzzy-Rough Entropy Measure and Histogram Based Patient Selection for miRNA Ranking in Cancer IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
2018-01 An evolutionary agent-based framework for modeling and analysis of labor market NEUROCOMPUTING