Loc Tran - RankMe

23 papers B 1Journal 10Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms. ESANN Loc Tran, Bac Le, Thanh Le
2023	—	`—`	Hypergraph based learning method: Embedding, Clustering, and Classification. (Méthode d'apprentissage basée sur l'hypergraphes: intégration, regroupement et classification). Loc Tran
2022	—	`conf`	A Novel Integrating Approach Between Graph Neural Network and Complex Representation for Link Prediction in Knowledge Graph. ACIIDS (Companion) Thanh Le, Loc Tran, Bac Le
2022	J	`jnl`	DeepHeartCT: A fully automatic artificial intelligence hybrid framework based on convolutional neural network and multi-atlas segmentation for multi-structure cardiac computed tomography angiography image segmentation. Frontiers Artif. Intell. Vy Bui, Li-Yueh Hsu, Lin-Ching Chang, An-Yu Sun, Loc Tran, Sujata M. Shanbhag, Wunan Zhou, Nehal N. Mehta, Marcus Y. Chen
2022	—	`conf`	Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs. KSEM (1) Thanh Le, Chi Tran, Loc Tran, Bac Le
2022	J	`jnl`	Metacells untangle large and complex single-cell transcriptome networks. BMC Bioinform. Mariia Bilous, Loc Tran, Chiara Cianciaruso, Aurélie A. G. Gabriel, Hugo Michel, Santiago J. Carmona, Mikael J. Pittet, David Gfeller
2021	J	`jnl`	Noise-robust classification with hypergraph neural network. CoRR Nguyen Trinh Vu Dang, Loc Tran, Linh Tran
2020	J	`jnl`	Improving multi-atlas cardiac structure segmentation of computed tomography angiography: A performance evaluation based on a heterogeneous dataset. Comput. Biol. Medicine Vy Bui, Li-Yueh Hsu, Sujata M. Shanbhag, Loc Tran, W. Patricia Bandettini, Lin-Ching Chang, Marcus Y. Chen
2019	—	`conf`	K-Segments Under Bagging approach: An experimental Study on Extremely Imbalanced Data Classification. ISCIT Tuan Tran, Loc Tran, An Mai
2019	J	`jnl`	Solve fraud detection problem by using graph based learning methods. CoRR Loc Tran, Tuan Tran, Linh Tran, An Mai
2019	J	`jnl`	To Detect Irregular Trade Behaviors In Stock Market By Using Graph Based Ranking Methods. CoRR Loc Tran, Linh Tran
2015	J	`jnl`	A Robust Deep Model for Improved Classification of AD/MCI Patients. IEEE J. Biomed. Health Informatics Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li
2015	—	`conf`	A comparative study of two prediction models for brain tumor progression. Image Processing: Algorithms and Systems Deqi Zhou, Loc Tran, Jihong Wang, Jiang Li
2015	—	`conf`	Adaptive graph construction for Isomap manifold learning. Image Processing: Algorithms and Systems Loc Tran, Zezhong Zheng, Guoqing Zhou, Jiang Li
2014	—	`—`	High Dimensional Data Set Analysis Using a Large-Scale Manifold Learning Approach. Loc Tran
2014	—	`conf`	Robust Deep Learning for Improved Classification of AD/MCI Patients. MLMI Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li
2013	J	`jnl`	High-dimensional MRI data analysis using a large-scale manifold learning approach. Mach. Vis. Appl. Loc Tran, Debrup Banerjee, Jihong Wang, Ashok J. Kumar, Frederic D. McKenzie, Yaohang Li, Jiang Li
2013	—	`conf`	Large-Scale Manifold Learning Using an Adaptive Sparse Neighbor Selection Approach for Brain Tumor Progression Prediction. MLMI Loc Tran, Frederic D. McKenzie, Jihong Wang, Jiang Li
2013	—	`conf`	The Un-normalized Graph p-Laplacian Based Semi-supervised Learning Method and Protein Function Prediction Problem. KSE (1) Loc Tran
2012	J	`jnl`	Application of three graph Laplacian based semi-supervised learning methods to protein function prediction problem CoRR Loc Tran
2012	J	`jnl`	Hypergraph and protein function prediction with gene expression data CoRR Loc Tran
2011	—	`conf`	A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction. MLMI Loc Tran, Debrup Banerjee, Xiaoyan Sun, Jihong Wang, Ashok J. Kumar, David Vinning, Frederic D. McKenzie, Yaohang Li, Jiang Li
2011	—	`conf`	Prediction of brain tumor progression using multiple histogram matched MRI scans. Computer-Aided Diagnosis Debrup Banerjee, Loc Tran, Jiang Li, Yuzhong Shen, Frederic D. McKenzie, Jihong Wang