2024-06 |
Expediting Prediction Accuracy with Exploration and Incorporation of Virtual Data |
SN Computer Science
|
2024-05 |
Contrastive Learning of Multivariate Gaussian Distributions of Incremental Classes for Continual Learning |
Lecture Notes in Computer Science
|
2024-05 |
Disentangled Prototypical Convolutional Network for Few-Shot Learning in In-Vehicle Noise Classification |
IEEE Access
|
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
|