Publication
Algorithmic Machine Intelligence Laboratory.
Integrated Multimodal and Semi-Supervised System for Image Segmentation
J. Gwak 등록번호: C-2023-048780 Registered
Optimal Classifier using Deep Learning and Machine Learning Ensemble
J. Gwak 등록번호: C-2021-039944 Registered
Deep Feature Ensemble Techniques for Optimal Classification
J. Gwak 등록번호: C-2021-039943 Registered
Anomaly Detection using Embedding Similarity-based Deep Learning
Optimal Knowledge Distillation Ensemble for Optimal Classifier Design
J. Gwak 등록번호: C-2021-039945 Registered
Ensemble of Multi-Task Deep Learning for Optimal Classification
J. Gwak 등록번호: C-2021-039946 Registered
Object Detection and Segmentation using Ensemble of Mask R-CNNs
J. Gwak 등록번호: C-2021-039947 Registered
AD Severity Monitoring System
J. Gwak 등록번호: C-2021-039951 Registered
fNIRS-based AD Severity Classification using a hybrid of 1DCNN and LSTM
J. Gwak 등록번호: C-2021-039948 Registered
EEG-based AD Severity Classification System using CNN-LSTM hybrids
J. Gwak 등록번호: C-2021-039949 Registered
Oversampling Techniques for Optimizing Combined Models using EEG/fNIRS
J. Gwak 등록번호: C-2021-039950 Registered
Voting Ensemble for Integration of AD Severity Monitoring Systems
J. Gwak 등록번호: C-2021-039952 Registered
Optimal Behavior Monitoring System based on Evolutionary Algorithms
J. Gwak 등록번호: C-2021-039953 Registered
Smart Insole-based Gait Variability Analysis System using Deep Learning
J. Gwak 등록번호: C-2021-021717 Registered
Optimal Gait Parameter Extraction Method for Gait Variability Analysis
J. Gwak 등록번호: C-2021-021718 Registered
