Thông tin nhà nghiên cứu KH&CN

Khai phá tập sinh tối thiểu của tập chiếm đóng từ dữ liệu giao dịch có trọng số của ITEMS

Vecto bit động: Cách tiếp cận mới để khai thác tập phổ biến

Ưng dụng mạng HTM và mạng ngữ nghĩa để nhận dạng đối tượng trong tập trung thị giác

Mô hình chứng thực dựa trên ảnh vân tay

EXPLAINABILITY IN MEDICAL IMAGE RECONSTRUCTION WITH LEARNING TO OPTIMIZE

Local Explanation Methods for Time Series Classification Models

Resolving Multi-Class Imbalance using Counterfactual Data Augmentation

Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs

ACRM: Integrating Adaptive Convolution with Recalibration Mechanism for Link Prediction

Diagnosing tuberculosis using graph neural network

Mixed Multi-relational Representation Learning for Low-Dimensional Knowledge Graph Embedding

Predictive Modelling of Diseases Based on a Network and Machine Learning Approach

Embedding and Integrating Literals to the HypER Model for Link Prediction on Knowledge Graphs

P-FCloHUS: A Parallel Approach for Mining Frequent Closed High-Utility Sequences on Multi-core Processors

A Novel Integrating Approach Between Graph Neural Network and Complex Representation for Link Prediction in Knowledge Graph

Graph Classification via Graph Structure Learning

Embedding Model with Attention over Convolution Kernels and Dynamic Mapping Matrix for Link Prediction

Meta-learning and Personalization Layer in Federated Learning

Mining High Utility Sequences with a Novel Utility Function

RotatHS: Rotation Embedding on the Hyperplane with Soft Constraints for Link Prediction on Knowledge Graph

Learning Embedding for Knowledge Graph Completion with Hypernetwork

Negative Sampling for Knowledge Graph Completion Based on Generative Adversarial Network

Link Prediction on Knowledge Graph by Rotation Embedding on the Hyperplane in the Complex Vector Space.

Building Filters for Vietnamese Chatbot Responses

Efficient Graph Classification via Graph Encoding Networks

NOV-RSI: A Novel Optimization Algorithm for Mining Rare Significance Itemsets

Uncertainty-aware Label Distribution Learning for Facial Expression Recognition

ALGNet: Attention Light Graph Memory Network for Medical Recommendation System

MixER: MLP-Mixer Knowledge Graph Embedding for Capturing Rich Entity-Relation Interactions in Link Prediction

MFG-HUI: An Efficient Algorithm for Mining Frequent Generators of High Utility Itemsets

Controlling LIME Kernel Width to Achieve Comprehensible Explanations on Tabular Data

FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer

Language-Conditioned Affordance-Pose Detection in 3D Point Clouds

Feature Explainability and Enhancement for Skin Lesion Image Analysis

Feature Explainability and Enhancement for Skin Lesion Image Analysis

GANet - Learning Tabular Data Using Global Attention

Exploring Temporal Knowledge Graphs with Compositional Interactions and Diachronic Mechanisms.

FleX: Interpreting Graph Neural Networks with Subgraph Extraction and Flexible Objective Estimation

Multi-scale and Multi-level Attention Based on External Knowledge in EHRs

From Visual Explanations to Counterfactual Explanations with Latent Diffusion

Real-Time Transaction Fraud Detection via Heterogeneous Temporal Graph Neural Network

Improving Temporal Knowledge Graph Completion via Tensor Decomposition with Relation-Time Context and Multi-Time Perspective

Improving Temporal Knowledge Graph Forecasting via Multi-Rewards Mechanism and Confidence-Guided Tensor Decomposition Reinforcement Learning

Fast generation of sequential patterns with item constraints from concise representations

EHAUSM: An efficient algorithm for high average utility sequence mining

Mining weighted subgraphs in a single large graph.

Mining correlated high-utility itemsets using various measures

Feature learning for representing sparse networks based on random walks

Hiding sensitive association rules using the optimal electromagnetic optimization method and a dynamic bit vector data structure

Efficient algorithms for mining frequent high utility sequences with constraints

Efficient algorithms for discovering high-utility patterns with strong frequency affinities

Optimization of electric distribution network configuration for power loss reduction based on enhanced binary cuckoo search algorithm

Mining sequential rules with itemset constraints

Joint sentence and aspect-level sentiment analysis of product comments

Global-local attention for emotion recognition

Efficient algorithms for mining closed and maximal high utility itemsets

Multi-core parallel algorithms for hiding high-utility sequential patterns

H-FHAUI: Hiding frequent high average utility itemsets

Artificial ecosystem optimization for optimizing of position and operational power of battery energy storage system on the distribution network considering distributed generations

OWGraMi: Efficient method for mining weighted subgraphs in a single graph

Mining interesting sequences with low average cost and high average utility

Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies

Knowledge graph embedding with the special orthogonal group in quaternion space for link prediction

Knowledge graph embedding by relational rotation and complex convolution for link prediction

Efficient mining of concise and informative representations of frequent high utility itemsets

A new algorithm using integer programming relaxation for privacy-preserving in utility mining

Generating relation-specific weights for ConvKB using a HyperNetwork architecture

A novel approach to discover frequent weighted subgraphs using the average measure

Semi-supervised adversarial discriminative domain adaptation

Knowledge graph embedding by projection and rotation on hyperplanes for link prediction

Curriculum meta-learning for zero-shot cross-lingual transfer

Shapley-based graph explanation in embedding space

Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure

Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure

CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets

Class-incremental learning with causal relational replay

Interpretable extractive text summarization with meta-learning and BI-LSTM: A study of meta learning and explainability techniques

Unified node, edge and motif learning networks for graphs

Novel stochastic algorithms for privacy-preserving utility mining

U-HPAUSM: Mining high probability average utility sequences in uncertain quantitative sequential databases.

Khai thác luật kết hợp thu gọn

Xây dựng giáo trình điện tử hỗ trợ trẻ khiếm thính luyện âm, tập nói và rèn luyện tư duy

Thuật giải tiến hoá xác định tham số học của mạng nơron lặp: ứng dụng cho phân loại hình ảnh hoa

Lọc particle và ứng dụng trong quản lý giao thông

Một số mô hình hệ thông minh lai: Kỹ thuật và ứng dụng

Toan Nguyen, Minh Nhat Vu, Baoru Huang, Tuan Van Vo, Vy Truong, Ngan Le, Thieu Vo, Bac Le, Anh Nguyen. Language-Conditioned Affordance-Pose Detection in 3D Point Clouds.

Thanh-An Nguyen, Bac Le: Feature Explainability and Enhancement for Skin Lesion Image Analysis.

Hung Bui, Bac Le. GANet - Learning Tabular Data Using Global Attention.

Hai Duong, Lam Hoang, Bac Le. Controlling LIME Kernel Width to Achieve Comprehensible Explanations on Tabular Data.

Minh-Van Nguyen, Duy-Thinh Nguyen, Quoc-Huy Trinh, Bac Le. ALGNet: Attention Light Graph Memory Network for Medical Recommendation System.

Hai V. Duong, Thong Tran, Tin C. Truong, Bac Le. MFG-HUI: An Efficient Algorithm for Mining Frequent Generators of High Utility Itemsets.

Thanh Vu, Huy Ngo, Bac Le, Thanh Le. FouriER: Link Prediction by Mixing Tokens with Fourier-enhanced MetaFormer. ESANN 2023

Toan Doan, Bac Le: Curriculum meta-learning for zero-shot cross-lingual transfer.

Tuyen-Thanh-Thi Ho, Tu Huynh, Hung Vu, Bac Le. Shapley-based graph explanation in embedding space.

Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger. Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure.

Hai Van Duong, Tin Chi Truong, Bac Le, Philippe Fournier-Viger. CG-FHAUI: an efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets.

Toan Nguyen, Duc Kieu, Bao Duong, Tung Kieu, Kien Do, Thin Nguyen, Bac Le. Class-incremental learning with causal relational replay.

Song-Nguyen Vo, Tien-Thinh Vo, Bac Le. Interpretable extractive text summarization with meta-learning and BI-LSTM: A study of meta learning and explainability techniques.

Tuyen-Thanh-Thi Ho, Bac Le. Unified node, edge and motif learning networks for graphs.

Duc Nguyen, Bac Le. Novel stochastic algorithms for privacy-preserving utility mining.

Thong Tran, Hai V. Duong, Tin C. Truong, Bac Le. Efficient mining of concise and informative representations of frequent high utility itemsets.

Duc Nguyen, Minh-Thai Tran, Bac Le. A new algorithm using integer programming relaxation for privacy-preserving in utility mining.

Thai-Vu Nguyen, Anh Nguyen, Nghia Le, Bac Le..Semi-supervised adversarial discriminative domain adaptation. Appl. Intell. 53(12): 15909-15922 (2023)

Thanh Le, Chi Tran, Bac Le. Mixed Multi-relational Representation Learning for Low-Dimensional Knowledge Graph Embedding. ACIIDS (1) 2022: 428-441

Thanh Le, Chi Tran, Loc Tran, Bac Le. Integrating Quaternion Graph Convolutional Networks with Tucker Decomposition for Link Prediction on Knowledge Graphs. KSEM (1) 2022: 614-626

Thanh Le, Anh-Hao Phan, Bac Le. ACRM: Integrating Adaptive Convolution with Recalibration Mechanism for Link Prediction. KSEM (2) 2022: 559-570

Tuan-Truong Quang, Nghia Le, Bac Le. Predictive Modelling of Diseases Based on a Network and Machine Learning Approach. ACIIDS (Companion) 2022: 641-654

Hang Nguyen, Nam Tran, Bac Le. Diagnosing tuberculosis using graph neural network. KSE 2022: 1-6

Thanh Le, Tuan Tran, Bac Le. Embedding and Integrating Literals to the HypER Model for Link Prediction on Knowledge Graphs. ACIIDS (1) 2022: 403-415

Hong-Phat Nguyen, Bac Le. P-FCloHUS: A Parallel Approach for Mining Frequent Closed High-Utility Sequences on Multi-core Processors. ACIIDS (Companion) 2022: 396-408

Tu Huynh, Tuyen-Thanh-Thi Ho, Bac Le. Graph Classification via Graph Structure Learning. ACIIDS (2) 2022: 269-281

Thanh Le, Loc Tran, Bac Le. A Novel Integrating Approach Between Graph Neural Network and Complex Representation for Link Prediction in Knowledge Graph. ACIIDS (Companion) 2022: 263-275

Ngoc-Thao Le, Bay Vo, Unil Yun & Bac Le. A novel approach to discover frequent weighted subgraphs using the average measure. Applied Intelligence (2023). https://doi.org/10.1007/s10489-023-04501-y

Thai-Vu Nguyen, Anh Nguyen, Nghia Le, Bac Le. Semi-supervised adversarial discriminative domain adaptation. Appl. Intell. 53(12): 15909-15922 (2023)

Thanh Le, Ngoc Huynh, Bac Le. Knowledge graph embedding by projection and rotation on hyperplanes for link prediction. Appl. Intell. 53(9): 10340-10364 (2023

Thanh Le, Nam Le, Bac Le: Embedding Model with Attention over Convolution Kernels and Dynamic Mapping Matrix for Link Prediction. ACIIDS (1) 2022: 234-246

Bao-Long Nguyen, Tat Cuong Cao, Bac Le: Meta-learning and Personalization Layer in Federated Learning. ACIIDS (1) 2022: 209-221

Hanh-Thong Huynh, Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger: Mining High Utility Sequences with a Novel Utility Function. KSE 2021: 1-6

Thanh Le, Ngoc Huynh, Bac Le: RotatHS: Rotation Embedding on the Hyperplane with Soft Constraints for Link Prediction on Knowledge Graph. ICCCI 2021: 29-41

Thanh Le, Duy Nguyen, Bac Le: Learning Embedding for Knowledge Graph Completion with Hypernetwork. ICCCI 2021: 16-28

Thanh Le, Trinh Pham, Bac Le: Negative Sampling for Knowledge Graph Completion Based on Generative Adversarial Network. ICCCI 2021: 3-15

Nhat Le, Khanh Nguyen, Quang D. Tran, Erman Tjiputra, Bac Le, Anh Nguyen: Uncertainty-aware Label Distribution Learning for Facial Expression Recognition. WACV 2023: 6077-6086

Thanh Le, An Pham, Tho Chung, Truong Nguyen, Tuan Nguyen, Bac Le: MixER: MLP-Mixer Knowledge Graph Embedding for Capturing Rich Entity-Relation Interactions in Link Prediction. PAKDD (2) 2023: 15-27

Thanh Le, Huy Tran, Bac Le: Knowledge graph embedding with the special orthogonal group in quaternion space for link prediction. Knowl. Based Syst. 266: 110400 (2023)

Thanh Le, Nam Le, Bac Le: Knowledge graph embedding by relational rotation and complex convolution for link prediction. Expert Syst. Appl.

Hai Duong, Tien Hoang, Thong Tran, Tin Truong, Bac Le, Philippe Fournier-Viger. Efficient algorithms for mining closed and maximal high utility itemsets. Knowledge-Based Systems Volume 257, 5 December 2022, 109921

Bac Le, Tin C. Truong, Hai V. Duong, Philippe Fournier-Viger, Hamido Fujita: H-FHAUI: Hiding frequent high average utility itemsets. Inf. Sci. 611: 408-431 (2022)

Thuan Thanh Nguyen, Thang Trung Nguyen, Bac Le: Artificial ecosystem optimization for optimizing of position and operational power of battery energy storage system on the distribution network considering distributed generations. Expert Syst. Appl. 208: 118127 (2022)

Ngoc-Thao Le, Bay Vo, Lam B. Q. Nguyen, Bac Le: OWGraMi: Efficient method for mining weighted subgraphs in a single graph. Expert Syst. Appl. 204: 117625 (2022)

Ut Huynh, Bac Le, Duy-Tai Dinh, and Van-Nam Huynh. Mining Periodic High-Utility Sequential Patterns with Negative Unit Profits. ook:Periodic Pattern Mining Theory, Algorithms, and Applications. Springer

Ut Huynh, Bac Le, and Duy-Tai Dinh. Hiding Periodic High-Utility Sequential Patterns. Book:Periodic Pattern Mining Theory, Algorithms, and Applications. Springer

Ngoc Duc Nguyen, Bac Le. A Fast Algorithm for Privacy-Preserving Utility Mining. Journal on Information Technologies & Communications. (ISSN: 1859-3534). Vol 2022 No 1. Pp 12-22.

Thanh Le, Hoang Nguyen, Bac Le. A Survey of the Link Prediction on Static and Temporal Knowledge Graph, Journal on Information Technologies & Communications. (ISSN: 1859-3534). Vol 2021 No 2. Pp 51-84.

Trương Chí Tín, Trần Ngọc Anh, Dương Văn Hải, Lê Hoài Bắc. FGenHUSM: Một thuật toán hiệu quả khai thác các chuỗi sinh phổ biến lợi ích cao. Tạp chí Công nghệ thông tin và Truyền thông. Chuyên san: Các công trình NC, PT và UD CNTT – TT. (ISSN 1859 – 3526), Tập 2019. Số 2.

Trương Chí Tín, Trần Ngọc Anh, Dương Văn Hải, Lê Hoài Bắc. FGenHUSM: Một thuật toán hiệu quả khai thác các chuỗi sinh phổ biến lợi ích cao. Tạp chí Công nghệ thông tin và Truyền thông. Chuyên san: Các công trình NC, PT và UD CNTT – TT. (ISSN 1859 – 3526), Tập 2019. Số 2.

Bac Le, Lien Kieu, Dat Tran. Distortion-based heuristic method for sensitive association rule hiding. Journal of Computer Science and Cybernetics, ISSN 1813-9663. Vol 35, N.4 (2019), Pp 337- 354

Thanh Le, Ngoc Huynh, Bac Le. Link Prediction on Knowledge Graph by Rotation Embedding on the Hyperplane in the Complex Vector Space. ICANN (3) 2021: 164-175

Nhat Le, Khanh Nguyen, Anh Nguyen, Bac Le. Global-local attention for emotion recognition. Neural Computing and Applications (2022) (Q1, IF 5.606)

Ut Huynh, Bac Le, Duy-Tai Dinh, Hamido Fujita.Multi-core parallel algorithms for hiding high-utility sequential patterns. Knowl. Based Syst. 237: 107793 (2022)

Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun. "Mining interesting sequences with low average cost and high average utility". Appl. Intell. 52(7): 7136-7157 (2022)

Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger, Unil Yun. Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies. Appl. Intell. 52(6): 6106-6128 (2022) (Q2, IF 5.086).

Trang Van, Bac Le. Mining Sequential Rules with Itemset Constraints. Applied Intelligence (2021). (https://doi.org/10.1007/s10489-020-02153-w) (Q2, IF 5.086)

Tin Truong, Hai Duong, Bac Le, Philippe Fournier-Viger, Unil Yung, Hamido Fujita. Efficient Algorithms for Mining Frequent High Utility Sequences with Constraints. Information Sciences. Vol 568, August 2021, Pages 239-264 (Q1, IF 6.795).

Bac Le, Dong Phuong Le, Minh-Thai Tran, Hiding sensitive association rules using the optimal electromagnetic optimization method and a dynamic bit vector data structure. Expert Systems With Applications. Vol 176 (2021) 114879. (Q1, IF 6.954)

Nhan Vuong, Bac Le, Tin C. Truong, Duy-Phuong Nguyen: Efficient algorithms for discovering high-utility patterns with strong frequency affinities. Expert Syst. Appl. 169: 114464 (2021)

Thuan Thanh Nguyen, Thang Trung Nguyen, Bac Le: Optimization of electric distribution network configuration for power loss reduction based on enhanced binary cuckoo search algorithm. Comput. Electr. Eng. 90: 106893 (2021)

Long Mai, Bac Le. Joint sentence and aspect-level sentiment analysis of product comments. Ann. Oper. Res. 300(2): 493-513 (2021)

Hai V. Duong, Tin C. Truong, Bac Le, Philippe Fournier-Viger: An Explicit Relationship Between Sequential Patterns and Their Concise Representations. BDA 2019: 341-361

Huan Phan, Bac Le. HPM-FSI: A High-Performance Algorithm for Mining Frequent Significance Itemsets. ICNC-FSKD 2019: 23-33

Huan Phan, Bac Le. NOV-mRSI: A Novel Algorithm for Minimal Rare Singnificance Itemsets Mining NOT Satisfy the Downward Closure Property in Transactional Databases. MLDM (2) 2019: 669-680

Ngoc-Thanh Le, Thanh-Binh Le, Si-Duy Truong, Hoai Bac Le: Building Filters for Vietnamese Chatbot Responses. RIVF 2020: 1-6

Tuyen-Thanh-Thi Ho, Hung Vu, Bac Le: Efficient Graph Classification via Graph Encoding Networks. RIVF 2020: 1-6

Thanh Le, Giang Son Tran, Hoai Bac Le: Feature learning for representing sparse networks based on random walks. Intell. Data Anal. 24(4): 873-886 (2020)

Philippe Fournier-Viger, Yimin Zhang, Jerry Chun-Wei Lin, Duy-Tai Dinh, Hoai Bac Le: Mining correlated high-utility itemsets using various measures. Log. J. IGPL 28(1): 19-32 (2020)

Ngoc-Thao Le, Bay Vo, Lam B. Q. Nguyen, Hamido Fujita, Bac Le. Mining weighted subgraphs in a single large graph. Inf. Sci. 514: 149-165 (2020)

Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger. EHAUSM: An efficient algorithm for high average utility sequence mining. Inf. Sci. 515: 302-323 (2020)

Hai V. Duong, Tin C. Truong, Anh N. Tran, Bac Le.Fast generation of sequential patterns with item constraints from concise representations. Knowl. Inf. Syst. 62(6): 2191-2223 (2020)

Dinh-Duy Tai, Van-Nam Huynh, Bac Le, Philippe Fournier-Viger, Ut Huynh,Quang-Minh Nguyen. “A Survey of Privacy Preserving Utility Mining". Chương 8 – Sách: High Utility Pattern Mining (Theory, Algorithms and Applications) (ISBN 978-3-030-04920) Volume 51. 207 - 232

Truong Chi Tin, Tran Ngoc Anh, Duong Van Hai, Le Hoai Bac. HUPSMT: an efficient algorithm for mining high utility-probability sequences in uncertain databases with multiple minimum utility thresholds. Journal of Computer Science and Cybernetics. (ISSN 1813 – 9663). Vol 35(1) - (2019). Pp 1-20

Huan Phan, Bac Le: A Novel Parallel Algorithm for Frequent Itemsets Mining in Large Transactional Databases. ICDM 2018: 272-287

Huan Phan, Bac Le: A Novel Algorithm for Frequent Itemsets Mining in Transactional Databases. PAKDD (Workshops) 2018: 243-255

Tuan-Anh D. Le, Duc-Tan Lam, Phong Vo, Atsuo Yoshitaka, Hoai Bac Le: Recover Water Bodies in Multi-spectral Satellite Images with Deep Neural Nets. SoICT 2018: 281-288

TinTruong, Hai Duong, Bac Le, PhilippeFournier-Viger, Unil Yun: “Efficient high average-utility itemset mining using novel vertical weak upper-bounds”. Knowledge-Based Systems. (ISSN 0950-7051) Available online 17 July 2019

Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger. FMaxCloHUSM: “An efficient algorithm for mining frequent closed and maximal high utility sequences”. Engineering Applications of Artificial Intelligence. (ISSN 0952-1976). Vol 85 - (2019). Pp 1-20

Tin C. Truong, Hai V. Duong, Bac Le, Philippe Fournier-Viger: Efficient Vertical Mining of High Average-Utility Itemsets Based on Novel Upper-Bounds. IEEE Trans. Knowl. Data Eng. 31(2): 301-314 (2019)

Linh Nguyen, Giang Nguyen, Bac Le: Fast algorithms for mining maximal erasable patterns. Expert Syst. Appl. 124: 50-66 (2019)

Bac Le, Phuc Luong. Optimized cardinality-based generalized itemset mining using transaction ID and numeric encoding.Appl. Intell (ISSN 0924-669X) 48(8): 2067-2080 (2018) (https://doi.org/10.1007/s10489-017-1058-1)

Tin Truong, Anh Tran, Hai Duong, Bac Le and Philippe Fournier-Viger. EHUSM: Mining High Utility Sequences with a Pessimistic Utility Model. 1st International Workshop on Utility-Driven Mining Held in conjunction with the 24th ACM SIGKDD Conference (KDD 2018) August 20, 2018, London, United Kingdom (UDM 2018)

Khue Doan, Minh Nguyen Quang, Bac Le: Applied Cuckoo Algorithm for Association Rule Hiding Problem. SoICT 2017: 26-33 doi:10.1145/3155133.3155150

Quan-Hoang Vo, Huy-Tien Nguyen, Bac Le, Minh-Le Nguyen: Multi-channel LSTM-CNN model for Vietnamese sentiment analysis. KSE 2017: 24-29 DOI: 10.1109/KSE.2017.8119429

Tho Hoang, Bac Le, Minh-Thai Tran: Distributed algorithm for sequential pattern mining on a large sequence dataset. KSE 2017: 18-23. DOI: 10.1109/KSE.2017.8119428

Khoa Pho, Hung Vu, Bac Le: Adaptive cascade threshold learning from negative samples for deformable part models. ICIP 2017: 1547-1551 DOI: 10.1109/ICIP.2017.8296541

Hung Thanh Vu, Khoa Pho, Bac Le: Flexible 3D neighborhood cascade deformable part models for object detection. ICIP 2017: 910-914. DOI: 10.1109/ICIP.2017.8296413

Long Mai, Bac Le: Aspect-Based Sentiment Analysis of Vietnamese Texts with Deep Learning. ACIIDS (1) 2018: 149-158 https://doi.org/10.1007/978-3-319-75417-8_14

Tin Truong , Hai Duong, Bac Le, and Philippe Fournier-Viger. Efficient Vertical Mining of High Average-Utility Itemsets based on Novel Upper-Bounds. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 30. 2018 DOI: 10.1109/TKDE.2018.2833478

Trang Van, Atsuo Yoshitaka, Bac Le: Mining web access patterns with super-pattern constraint. Applied Intelligence. 2018 https://doi.org/10.1007/s10489-018-1182-6

Hai V. Duong, Tin C. Truong, Bac Le: Efficient algorithms for simultaneously mining concise representations of sequential patterns based on extended pruning conditions. Eng. Appl. of AI 67: 197-210 (2018) https://doi.org/10.1016/j.engappai.2017.09.024

Bac Le, Ut Huynh, Duy-Tai Dinh: A pure array structure and parallel strategy for high-utility sequential pattern mining. Expert Syst. Appl. 104: 107-120 (2018). https://doi.org/10.1016/j.eswa.2018.03.019

Bac Le, Duy-Tai Dinh, Van-Nam Huynh, Quang-Minh Nguyen, Philippe Fournier-Viger: An efficient algorithm for Hiding High Utility Sequential Patterns. Int. J. Approx. Reasoning 95: 77-92 (2018). https://doi.org/10.1016/j.ijar.2018.01.005

Trang Van, Bay Vo, Bac Le: Mining sequential patterns with itemset constraints. Knowl Inf Syst. 2018 https://doi.org/10.1007/s10115-018-1161-6

Bac Le, Phuc Luong.Optimized cardinality-based generalized itemset mining using transaction ID and numeric encoding. Applied Intelligence (2017) DOI 10.1007/s10489-017-1058-1

Nghia Pham Trong, Hung Nguyen, Kazunori Kotani, Hoai Bac Le: A Comprehensive Survey on Human Activity Prediction. ICCSA (1) 2017: 411-425

Bac Le, Minh-Thai Tran, Duy Tran: A Method for Early Pruning a Branch of Candidates in the Process of Mining Sequential Patterns. ACIIDS (1) 2017: 487-497

Tai Dinh, Van-Nam Huynh, Bac Le: Mining Periodic High Utility Sequential Patterns. ACIIDS (1) 2017: 545-555

Minh Nguyen Quang, Ut Huynh, Tai Dinh, Nghia Hoai Le, Bac Le: An Approach to Decrease Execution Time and Difference for Hiding High Utility Sequential Patterns. IUKM 2016: 435-446

Philippe Fournier-Viger, Jerry Chun-Wei Lin, Tai Dinh, Hoai Bac Le: Mining Correlated High-Utility Itemsets Using the Bond Measure. HAIS 2016: 53-65

Minh Nguyen Quang, Tai Dinh, Ut Huynh, Bac Le: MHHUSP: An integrated algorithm for mining and Hiding High Utility Sequential Patterns. KSE 2016: 13-18

Tai Dinh, Minh Nguyen Quang, Bac Le: A Novel Approach for Hiding High Utility Sequential Patterns. SoICT 2015: 121-128

Hung Thanh Vu, Mai Vuong Minh Nhat, Bac Le: An Efficient Model for Simultaneous Face Detection, Pose Estimation and Landmark Localisation. KSE 2015: 13-18

Bac Le, Huy Nguyen: Twitter Sentiment Analysis Using Machine Learning Techniques. ICCSAMA 2015: 279-289

Lê Hoài Bắc, Nguyễn Thị Quyên. Khai thác k mẫu tuần tự tối đại sử dụng cây dự liệu chiếu tiền tố. Tạp chí Công nghệ thông tin và Truyền thông. Chuyên san: Các công trình NC, PT và UD CNTT – TT. Tập V-1. Số 15(35). 06/2016. ISSN 1859 – 3526. Pp 76-85

Nguyễn Vĩnh Nam – Lê Hoài Bắc. A visual framework for Spatial Data mining. Journal Information Technologies & Communications (research, Development and Application on Information & Communication Technology). Volume E-3, No. 8(12). 8. 2015. ISSN 1859 – 3534. p 67 – 72.

Anh Tran, Tin Truong, Bac Le. Efficiently mining association rules based on maximum single constraints.Vietnam Journal of Computer Science (2017).DOI: 10.1007/s40595-017-0096-2.

Tung Kieu,Bay Vo,Tuong Le, Zhi-Hong Dengf, Bac Le. Mining top-k co-occurrence items with sequential pattern. Expert Systems with Applications, Volume 85, 1 November 2017, Pages 123–133. (https://doi.org/10.1016/j.eswa.2017.05.021)

Bac Le, Hai Duong, Tin Truong, Philippe Fournier-Viger. FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy, Journal of Knowledge and Information Systems, Springer, DOI: 10.1007/s10115-017-1032-6, 2017

Philippe Fournier-Viger, Lin Jerry Chun-Wei, Bay Vo, Tin Truong Chi, Bac Le, A Survey of Itemset Mining, WIREs Data Mining and Knowledge Discovery (ISI), DOI: 10.1002/widm. 1207, 2017

Minh-Thai Tran, Bac Le, Bay Vo, Tzung-Pei Hong: Mining non-redundant sequential rules with dynamic bit vectors and pruning techniques. Appl. Intell. 45(2): 333-342 (2016)

Bay Vo, Thien-Phuong Le, Tzung-Pei Hong, Bac Le, Jason J. Jung: An efficient approach for mining frequent item sets with transaction deletion operation. Int. Arab J. Inf. Technol. 13(5): 595-602 (2016)

Giang Nguyen, Tuong Le*, Bay Vo, Bac Le (2015). EIFDD: An efficient approach for erasable itemset mining of very dense datasets. Applied Intelligence, DOI: 10.1007/s10489-014-0644-8 (SCI)

Quang A Dang, Xuan Hoai Nguyen, Hoai Bac Le, Viet ha Nguyen, Vo Nguyen Quoc Bao. Some current Advanced researches on Information and Computer Science in Viet nam. Advances in Intelligent Systems and Computing. Volume 341.ISSN 2194-5357. DOI 10.1007/978-3-319-14633-1. Springer - 2015

Anh Tran, Tin C. Truong, Hoai Bac Le: Structures of frequent itemsets and classifying structures of association rule set by order relations. IJIIDS 8(4): 295-323 (2014) DOI: 10.1504/IJIIDS.2014.068339.

Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le. Fast Updated Frequent-itemset Lattice for Transaction Deletion. Data & Knowledge Engineering 04/2015; DOI: 10.1016/j.datak.2015.04.006

Anh Tran, Tin Truong, Bac Le. Structures of frequent itemsets and classifying structures of association rule set by order relations. Journal: Int. J. of Intelligent Information and Database Systems, 2014 Vol.8, No.4, pp.295 – 323. (DOI: 10.1504/IJIIDS.2014.068339)

Bac Le, Minh-Thai Tran, Bay Vo. Mining frequent closed inter-sequence patterns efficiently using dynamic bit vectors.Applied Intelligence.January 2015. DOI:10.1007/s10489-014-0630-1

Lê Hoài Bắc, Huỳnh Xuân Cảnh, Võ Đình Bảy. Một phương pháp mới khai thác các mẫu hữu ích cao thú vị. Tạp chí Công nghệ thông tin và Truyền thông. Chuyên san: Các công trình NC, PT và UD CNTT – TT. Tập V-1. Số 12(32). 12/2015. ISSN 1859 – 3526

Hoai Bac Le, Bay Vo, Quyen Huynh-Thi-Le, Tuong Le: Enhancing the mining top-rank-k frequent patterns. SMC 2014: 2008-2012

Giang Nguyen, Tuong Le, Bay Vo, Hoai Bac Le, Phi-Cuong Trinh: Subsume Concept in Erasable Itemset Mining. ICCCI 2014: 515-523

Dang Nguyen, Bay Vo, Hoai Bac Le: A Novel Method for Mining Class Association Rules with Itemset Constraints. ICCCI 2014: 494-503

Danh Bui Thi, Ryutaro Ichise, Bac Le: Link Prediction in Social Networks Based on Local Weighted Paths. FDSE 2014: 151-163

Hong-Quan Hua, T. Hoang Ngan Le, Bac Le: An Effective Initialization for ASM-Based Methods. CISIM 2014: 421-432

Giang Nguyen, Tuong Le, Bay Vo, Bac Le: Discovering Erasable Closed Patterns. ACIIDS (1) 2015: 368-376

Hung Nguyen, Fan Chen, Kazunori Kotani, Hoai Bac Le: Fusion of Visible Images and Thermal Image Sequences for Automated Facial Emotion Estimation. J. Mobile Multimedia 10(3&4): 294-308.

Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le, Dosam Hwang. Improving Efficiency of Incremental Mining by Trie Structure and Pre-Large Itemsets. Computing and Informatics 33(3): 609-632

Dang Nguyen, Bay Vo, Bac Le. CCAR: An efficient method for mining class association rules with itemset constraints. Eng. Appl. of AI 37: 115-124 (2015)

Minh-Thai Tran, Bac Le, Bay Vo. Combination of dynamic bit vectors and transaction information for mining frequent closed sequences efficiently. Eng. Appl. of AI 38: 183-189 (2015)

Quyen Huynh-Thi-Le, Tuong Le, Bay Vo, Bac Le. An efficient and effective algorithm for mining top-rank-k frequent patterns. Expert Systems with Applications Volume 42, Issue 1, January 2015, Pages 156–164. DOI: 10.1016/j.eswa.2014.07.045.

Thao-Ngoc Nguyen, Bac Le, Kazunori Miyata: A Novel Integration of Intensity Order and Texture for Effective Feature Description. IEICE Transactions 97-D(8): 2021-2029 (2014)

Anh Tran, Tin C. Truong, Bac Le: Simultaneous mining of frequent closed itemsets and their generators: Foundation and algorithm. Engineering Applications of Artificial Intelligence. Volume 36: 64-80 (2014)

Hung Nguyen, Fan Chen, Kazunori Kotani, Bac Le. Human Emotion Estimation Using Wavelet Transform and t-ROIs for Fusion of Visible Images and Thermal Image Sequences. ICCSA (6) 2014: 224-235

Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le. An effective approach for maintenance of pre-large-based frequent-itemset lattice in incremental mining. Applied Intelligence July 2014. DOI10.1007/s10489-014-0551-z.

Bac Le,Hung Nguyen,Dat Tran. A robust fingerprint watermark-based authentication scheme in H.264/AVC video. Vietnam Journal of Computer Science. April 2014,DOI10.1007/s40595-014-0021-x. Print ISSN 2196-8888. Online ISSN2196-8896. PublisherSpringer Berlin Heidelberg

Hung Nguyen, Kazunori Kotani, Fan Chen, Bac Le: A Thermal Facial Emotion Database and Its Analysis. PSIVT 2013: 397-408

Tran Thang Thanh, Fan Chen, Kazunori Kotani, Bac Le: An Apriori-like algorithm for automatic extraction of the common action characteristics. VCIP 2013: 1-6.

Anh Nguyen, Bac Le. 3D Point Cloud Segmentation: A survey. 2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM). IEEE Catalog Number: CFP13834-CDR. ISBN: 978-1-4799-1199-8. Pp 225 – 203.

Tran Thang Thanh, Fan Chen, Kazunori Kotani, Bac Le. Automatic Extraction of Semantic Action Features. 2013 (IEEE). International Conference on Signal-Image Technology & Internet-Based Systems, ISBN: 978-1-4503-2454-0.DOI 10.1109/SITIS.2013.35. Pp 148 – 155

Kien Tran, Bac Le. Demystifying Sparse Rectified Auto-Encoders. SoICT2013.(ACM) Proceedings of the Fourth Symposium on Information and Communication Technology. DOI: 10.1145/2542050.2542065. Pp 101 – 107.

Huy Nguyen Tien and Bac Le. Noise Reduction Approach for LSB matching revisited. Rivf-2013

Tuyen Thanh Thi Ho, Hung Thanh Vu and Bac Le. A Decision-making based Feature for Link Prediction in Signed Social Networks. Rivf-2013

Dung A. Doan, Ngoc-Trung Tran, Dinh-Phong Vo and Bac Le. Learned and Designed Features for Sparse Coding in Image Classification. Rivf-2013

Giang Nguyen, Tuong Le, Bay Vo, Bac Le. A New Approach for Mining Top-Rank-k Erasable Itemsets. Intelligent Information and Database Systems . Lecture Notes in Computer Science. Volume 8397, 2014, DOI: 10.1007/978-3-319-05476-6_8. pp 73-82

Anh Nguyen, Bac Le. Contextual Labeling 3D Point Clouds with Conditional Random Fields. Intelligent Information and Database Systems. Lecture Notes in Computer Science. Volume 8397, 2014, DOI: 10.1007/978-3-319-05476-6_59. pp 581-590.

Thao-Ngoc Nguyen, Bac Le, Kazunori Miyata. Effective Feature Description using Intensity Order Local Binary Pattern. 2013 International Conference on Cyberworlds. 21-23 October 2013. Yokohama, Japan. IEEE Computer Society Order Number E2245. ISBN-13: 978-1-4799-2245-1. 978-1-4799-2245-1/13 $31.00 © 2013 IEEE. DOI 10.1109/CW.2013.9. Pp 175-182

Viet-Hoai To, Bac Le, Mitsuru Ikeda. On the Semantics of Defeasible Reasoning for Description Logic Ontologies. Proceedings of the Fifth International Conference KSE 2013, Volume 1. Advances in Intelligent Systems and Computing. Springer International Publishing. Series Volume 245. Print ISBN 978-3-319-02740-1. DOI: 10.1007/978-3-319-02741-8_7. pp 51-63.

Anh Tran, Tin Truong, Bac Le. An Approach for Mining Association Rules Intersected with Constraint Itemsets. Proceedings of the Fifth International Conference KSE 2013, Volume 2. Advances in Intelligent Systems and Computing. Springer International Publishing. Series Volume 245. Print ISBN 978-3-319-02820-0. DOI: 10.1007/978-3-319-02821-7_31. pp 351-363

Bay Vo, Tuong Le, Tzung-Pei Hong, Bac Le. Maintenance of a Frequent-Itemset Lattice Basedon Pre-large Concept. Proceedings of the Fifth International Conference KSE 2013, Volume 2. Advances in Intelligent Systems and Computing. Springer International Publishing. Series Volume 245. Print ISBN 978-3-319-02820-0. DOI: 10.1007/978-3-319-02821-7_27. pp 295-305.

Bay Vo, Chun-Wei Lin, Tzung-Pei Hong, Vinh V. Vu, Minh Nguyen, Bac Le: An Efficient Method for Hiding High Utility Itemsets. KES-AMSTA 2013: Pp 356-363

Dung A. Doan, Ngoc-Trung Tran, Dinh-Phong Vo, Bac Le, Atsuo Yoshitaka. Combining Descriptors Extracted from Feature Maps of Deconvolutional Networks and SIFT Descriptors in Scene Image Classification. ICCSA (5) 2013: 321-33.

Nam Nguyen Vinh, Bac Le. Constructing and Modeling Parcel Boundaries from a Set of Lines for Querying Adjacent Spatial Relationships. ICCSA (1) 2013: 540-54

Hai Duong, Tin Truong, Bac Le. An Efficient Algorithm for Mining Frequent Itemsets with Single Constraint. Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence Volume 479, 2013 DOI: 10.1007/978-3-319-00293-4_28. Print ISBN 978-3-319-00292-7, pp 367-378.

Anh Tran, Tin Truong, Bac Le. An Approach for Mining Concurrently Closed Itemsets and Generators. Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence Volume 479, 2013. DOI: 10.1007/978-3-319-00293-4_27. Print ISBN 978-3-319-00292-7. pp 355-366.

Bac Le, Tran Chanh-Truc, Vo Bay, Hong Tzung-Pei, A Space-Time Trade Off for Maintenance of FUFP trees. ACIIDS 2013. Intelligent Information and Database SystemsLecture Notes in Computer Science Volume 7803, 2013, Print ISBN 978-3-642-36542-3. DOI 10.1007/978-3-642-36543-0_22. pp 206-214

Nam Hau, R. Ichise, Bac Le, Discover the Missing Link in Large-Scale Linked Data. ACIIDS 2013.Intelligent Information and Database SystemsLecture Notes in Computer Science Volume 7803, 2013, Print ISBN 978-3-642-36542-3. DOI 10.1007/978-3-642-36543-0_48. pp 468-477

Tran T Thang, Chen Fan, Kotani Kazunori, Bac Le. Automatic Extraction of Common Action Characteristics. The 12th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT 2012). December 12-15, 2012 - Ho Chi Minh City- Vietnam.

Bay Vo, Bac Le, Jason J. Jung. A Tree-Based Approach for Mining Frequent Weighted Utility Itemsets. Computational Collective Intelligence. Technologies and Applications. Lecture Notes in Computer Science. Volume 7653, 2012. ISBN 978-3-642-34629-3, DOI: 10.1007/978-3-642-34630-9_12. pp 114-123.

Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le, Jason J. Jung. Maintenance of IT-Tree for Transactions Deletion. Advanced Methods for Computational Collective Intelligence. Studies in Computational Intelligence, 2013, Volume 457/2013, 157-166, DOI: 10.1007/978-3-642-34300- 1_15.

Huy Nguyen, Kokolo Ikeda, Bac Le. Extracing important patterns for Building state-Action Evaluation function in Othello. (IEEE) Technologies and Applications of Artificial Intelligence (TAAI), 16-18 Nov. 2012. Print ISBN: 978-1-4673-4976-5. Digital Object Identifier: 10.1109/TAAI.2012.11. PP 278 – 283

Bac Le, Thien-Phuong Le, Bay Vo, Tzung-Pei Hong. Maintenance of DBV-trees for Transaction Insertion. (IEEE) Technologies and Applications of Artificial Intelligence (TAAI), 16-18 Nov. 2012. Print ISBN: 978-1-4673-4976-5. Digital Object Identifier : 10.1109/TAAI.2012.31. pp. 165 – 170

Tran Chanh-Truc, Vo Bay, Hong Tzung-Pei, Lin Chun-Wei, Le Bac. An Enhanced FUFP-Tree Maintenance Approach for Transaction Deletion. Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on. Print ISBN: 978-1-4673-2838-8. Digital Object Identifier: 10.1109/IBICA.2012.30.

Vo, Bay; Tran, Minh-Thai; Hong, Tzung-Pei; Nguyen, Hieu; Le, Bac. A Dynamic Bit-vector Approach for Efficiently Mining Inter-sequence Patterns. Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on. Print ISBN: 978-1-4673-2838-8. Digital Object Identifier : 10.1109/IBICA.2012.31

Khai Nguyen, Ryutaro Ichise, Bac Le, Interlinking Linked Data Sources Using a Domain-Independent System. JIST’12, 2012. The 2nd Joint International Semantic technology Conference Dec 2-4 , 2012, Nara, Japan. Lecture Notes in Computer Science Volume 7774, 2013. Series ISSN. 0302-9743, DOI: 10.1007/978-3-642-37996-3_8. pp 113-128.

Hoang Khai Nguyen, Ryutaro Ichise, Le Hoai Bac. SLINT: a schema-independent linked data interlinking system. The Seventh International Workshop on Ontology Matching. November 11th, 2012. Boston, MA USA. (http://om2012.ontologymatching.org/).

Khai Nguyen, Ryutaro Ichise, Hoai Bac Le. Learning approach for domain-independent linked data instance matching. Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics, MDS’12. ISBN: 978-1-4503-1546-3. DOI:10.1145/2350190.2350197

Nam Nguyen Vinh, Bac Le, Simple Spatial Clustering Algorithm based on R-tree MIWAI 2012. Multi-disciplinary Trends in Artificial Intelligence. LNAI 7694. ISSN 0302-9743. DOI 10.1007/978-3-642-35355-7. Pp 236-245.

Nam Nguyen Vinh, Bac Le. Incremental Spatial Clustering in Data Mining using Genetic Algorithm and R-tree. Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings. Lecture Notes in Computer Science 7673 Springer 2012, ISBN 978-3-642-34858-7.

La, P.T., Vo, B., Le, B. (2014). Incrementally Building Frequent Closed Itemset Lattice. Expert Systems With Applications, Volume 41, Issue 6, May 2014, ISSN: 0957-4174. http://dx.doi.org/10.1016/j.eswa.2013.11.002. Pages 2703-2712.

Anh Tran, Hai Duong, Tin Truong, Bac Le. Mining Frequent Itemsets with Dualistic Constraints. PRICAI 2012. Lecture Notes in Computer Science 7458 Springer 2012, ISBN 978-3-642-32694-3. 807 – 813. DOI: 10.1007/978-3-642-32695-0_77 (ISSN 0302 – 9743).

Nam Nguyen Vinh, Bac Le. Incremental Spatial Clustering in Data Mining using Genetic Algorithm and R-tree. Simulated Evolution and Learning - 9th International Conference, SEAL 2012, Hanoi, Vietnam, December 16-19, 2012. Proceedings. Lecture Notes in Computer Science 7673 Springer 2012, ISBN 978-3-642-34858-7.

Lê Hoài Bắc, Nguyễn Thị Bảo Chi, Võ Đình Bảy. Một số cải tiến thuật toán INDEX-BITTABLEFI cho khai thác tập phổ biến. Tạp chí Công nghệ thông tin và Truyền thông. Chuyên san: Các công trình NC, PT và UD CNTT – TT. Tập V-1. Số 25(25). /2013. ISSN 1859 – 3526

Dang Nguyen, Bay Vo, Bac Le. Efficient strategies for parallel mining class association rules. Expert Systems with Applications. Volume 41, Issue 10, August 2014. http://dx.doi.org/10.1016/j.eswa.2014.01.038, Pages 4716–4729.

Tran Thang Thanh, Fan Chen, Kazunori Kotani, Bac Le. Extraction of Discriminative Patterns from Skeleton Sequences for Accurate Action Recognition. Fundamenta Informaticae. Volume 130, number 2 (2014). DOI 10.3233/FI-2014-985. ISSN 0169-2968. IOS Press. (http://fi.mimuw.edu.pl/index.php/FI/pages/view/issues/).

Thien-Trang Van, Bay Vo, Bac Le. IMSR_PreTree: an improved algorithm for mining sequential rules based on the prefix-tree. Vietnam Journal of Computer Science. (Springer). DOI 10.1007/s40595-013-0012-3.

Lê Hoài Bắc, Tô Hoài Việt. Cơ sở Trí tuệ nhân tạo. NXB KH&KT Hà nội. 2014

Giải thưởng Sáng tạo Khoa học và Công nghệ Việt nam (Vifotec) - năm 2001

Giải thưởng Sáng tạo Khoa học và Công nghệ Việt nam (Vifotec) - năm 2007

Lê Hoài Bắc, Lê Hoàng Thái, Nguyễn Phương Thảo, Nguyễn tấn Trần Minh Khang. Tin học Đại cương A2. NXB Đại học Quốc gia Tp HCM- 2008

Lê Hoài Bắc, Phạm Hoài Vũ. Nhập môn CUDA - Lập trình song song trên GPU. NXB Đại học Quốc gia Tp HCM - 2012

Lê Hoài Bắc, Lê Thị Hoàng Ngân. Ẩn dữ liệu và chia sẻ thông tin. NXB Đại học Quốc gia Tp HCM - 2011

Lê Hoài Bắc, Nguyễn Thanh Nghị. Kỹ Năng lập trình. NXB KH&KT Hà nội - 2005.

Nam Nguyen Vinh, Nam Nguyen Minh, Bac Le Hoai. A Sinple Algorithm for finding fast, exactly tiles intersect with polygons. Journal of Science and Technology. Vietnamese Academy of Science and Technology. Volume 49, Number 5, 2011.p 69 - 78.

Trần Quốc Việt, Cao Tùng Anh, Lê Hoài Bắc. Đảm bảo tính riêng tư và chống thông đồng trong khai thác luật kết hợp trên dữ liệu phân tán ngang. Tạp chí Công nghệ thông tin và Truyền thông. Chuyên san: Các công trình NC, PT và UD CNTT – TT. Tập V-1. Số 7(27). 5/2012.60-70

Bay Vo, Frans Coenen, Bac Le, A New Method for Mining Frequent Weighted Itemsets Based on WIT-tree. Expert Systems with Applications, Volume 40, Issue 4, March 2013, http://dx.doi.org/10.1016/j.eswa.2012.08.065. Pages 1256-1264.

Bay Vo, Tzung-Pei Hong, Bac Le. A lattice-based approach for mining most generalization association rules. Knowledge-Based Systems. Volume 45, June 2013. Pages 20-30. http://dx.doi.org/10.1016/j.knosys.2013.02.003. .

Anh Tran, Tin Truong, Bac Le. Structures of Association rule set. 4th Asian Conference, ACIIDS 2012. Kaohiung, Macrh 2012. Proceedings, Part II. LNAI 7197. 361-369

Tien – Vu Nguyen, Nghia Pham, Trung Tran, Bac Le. Higher order Conditional Random field for Multi – Label interactive Image segmentation. 2012 IEEE RIVF International Conference Computing & Communication Technologies, Research, Innovation, and Vision for the Future. HoChiMinh City, Vietnam, 27 February – 01 March 2012. ISBN: 978-1-4673-0308-8. 282 – 285.

Kha Gia Quach, Chi Nhan Duong, Khoa Luu, Hoai Bac Le. Gabor Wavelet – Based appearance Models. 2012 IEEE RIVF International Conference Computing & Communication Technologies, Research, Innovation, and Vision for the Future. HoChiMinh City, Vietnam, 27 February – 01 March 2012. ISBN: 978-1-4673-0308-8. P 254 – 259

Thien-Phuong Le, Bay Vo, Tzung-Pei Hong, Bac Le. An Efficient Incremental Mining Approach Based on IT- tree. 2012 IEEE RIVF International Conference Computing & Communication Technologies, Research, Innovation, and Vision for the Future. HoChiMinh City, Vietnam, 27 February – 01 March 2012. ISBN: 978-1-4673-0308-8. P 57 – 61

Anh N. Tran, Tin C. Truong, Bac H. Le, Hai V. Duong. Mining Association Rules Restricted on constraint. 2012 IEEE RIVF International Conference Computing & Com munication Technologies, Research, Innovation, and Vision for the Future. HoChiMinh City, Vietnam, 27 February – 01 March 2012. p 51-61

Tran Thanh Thang, Fan Chen, Kazunori Kotani, Hoai-Bac Le. Extraction of Discriminative Patterns from Skeleton Sequences for Human Action recognition. 2012 IEEE RIVF International Conference Computing & Communication Technologies, Research, Innovation, and Vision for the Future. HoChiMinh City, Vietnam, 27 February – 01 March 2012. ISBN: 978-1-4673-0308-8. p 33-38. (Best Paper Award).

Xuan Canh Nguyen, Hoai Bac Le, Tung Anh Cao. An enhanced scheme for privacy – preserving association rule mining on horizontally distributed database. 2012 IEEE RIVF International Conference Computing & Communication Technologies, Research, Innovation, and Vision for the Future. HoChiMinh City, Vietnam, 27 February – 01 March 2012. ISBN: 978-1-4673-0308-8. p 29 – 32.

Hung Thanh Vu, Thanh Duc Ngo, Thao Ngoc Nguyen, Duy-Dinh Le, Shin’ichi Satoh, Bac Hoai Le, Duc Anh Duong. Fast Face Sequence Matching in Large-scale Video Databases. IEEE International Conference on image processing. ICIP 2011, September 11-14, 2011. Brussels, Belgium. ISBN 978 - 1 – 4577- 1302 – 6. (http://www.icip2011.com/).

Thien-Phuong Le, Tzung-Pei Hong, Bay Vo, Bac Le, Incremental Mining Frequent Itemsets based on the Trie Structure and the Pre-Large Itemsets. 2011 IEEE International Conference on Granular Computing, Nov. 8 – 10, 2011. Kaohsiung, Taiwan. ISBN 978-1-4577-0370-6. (http://grc2011.nuk.edu.tw).

Hoai-Viet To, Hoai-Bac Le, Mitsuru Ikeda, Applying Hierarchical Information with Learning Approach for Activity Recognition. 2011 International Symposium on integrated uncertainty in knowledge modelling and decision making (Iukm’2011). Lecture Notes in Computer Science. Volume 7027, 2011, DOI: 10.1007/978-3-642-24918-1 ISSN 0302 -9743. ISBN 978 - 3- 642 – 24917 – 4. October 28-30, 2011, Hangzhou, China. (http://iukm.zju.edu.cn/)

Mao X. Nguyen, Quang M. Le, Vu Pham, Trung Tran, Bac H. Le. Multi – scale Sparse Representation for Robust Face Recognition. KSE 2011. 2011 14-17 October Hanoi Vietnam. IEEE Computer Society Order Number P4567. ISBN 978-1-4577-1848-9. 195 – 199. (http://doi.ieeecomputersociety.org/10.1109/KSE.2011.38)

Linh Dang, Buu Bui, P D. Vo, Trung N. Tran, Bac H. Le. Improved HOG Descriptors. KSE 2011. 2011 14-17 October Hanoi Vietnam. IEEE Computer Society Order Number P4567. 186 – 189. (http://doi.ieeecomputersociety.org/10.1109/KSE.2011.36 )

Anh N. Tran, H V. Duong, Tin C. Truong, Bac H. Le. Efficient Algorithms for Mining Frequent Itemsets with Constraint. The third international conference on Knowledge and Systems Engineering. KSE 2011. 2011 14-17 October Hanoi Vietnam. IEEE Computer Society Order Number P4567. 19 –25

Vo, Bay, Le, Bac, Nguyen, Thang N. Mining Frequent Itemsets from Multidimensional Databases. Intelligent Information and Database Systems. Lecture Notes in Computer Science, 2011, Volume 6591/2011, 177-186, ISSN 0302-9743. ISBN 978-3-642-20039-7. DOI: 10.1007/978-3-642-20039-7_18. (http://www.springerlink.com/content/ap7v70228wv5x2n7/)

Thien-Trang Van, Bay Vo, Bac Le. Mining Sequential Rules Based on Prefix-Tree. New Challenges for Intelligent Information and Database Systems. Studies in Computational Intelligence, 2011, Volume 351/2011, 147-156, ISBN 978-3-642-19952-3. DOI: 10.1007/978-3-642-19953-0_15 (http://www.springerlink.com/content/n85m550m602h1848/).

Chi Nhan Duong, Kha Gia Quach, Khoa Luu, Hoai Bac Le, Karl Ricanek,. Fine Tuning Age-estimation with Global and Local Facial Features. The 36th International Conference on Acoustics, Speech and Signal Processing. May 22-27, 2011. Prague, Czech Republic.(http://www.icassp2011.com)

Tien-Vu Nguyen, Trung Tran, Phong Vo, Bac Le. Efficient Image Segmentation Incorporating Photometric and Geometric Information. International Conference on Imaging Engineering (ICIE), Hong Kong, 16-18 March, 2011. ISBN: 978-988-18210-3-4. ISSN: 2078-0958. (http://www.iaeng.org/IMECS2011/ICIE2011.html).

Nguyen Quy Minh, Le Hoai Bac, An Approach to Main Web Content and Keyword Extraction to develop a Vietnamese contextual Advertising Engine. Journal Information Technologies & Communications (research, Development and Application on Information & Communication Technology). Volume E-1, No. 4(8). 10. 2011. ISSN 1859 – 3534. p 39 – 48

Le Hoai Bac, Nguyen Kim Hung, Le Thi Hoang Ngan. Authentification scheme based on fingerprint images. Journal of Computer Science and Cybernetics. Vol 27 No 2. 2011. ISSN 1813-9663. 154 – 165.

Le Hoai Bac, Nguyen Huu Khiem, Improve the accuracy of Space-Saving Algorithm. Journal on Information and Communication Technologies, Vol V-1. Số 25(25). 6/2011. 42 – 51.

Bay Vo, Tzung-Pei Hong, Bac Le. Mining Most Generalization Association Rules Based on Frequent closed itemsets. International Journal of Innovative Computing, Information and Control (IJICIC). ISSN 1349 – 4198. Vol 8. No 10, October 2012. (IF 1.664).

Bay Vo, Tzung-Pei Hong, Bac Le. DBV-Miner: A Dynamic Bit-Vector approach for fast mining frequent closed itemsets. Expert Systems with Applications, Volume 39, Issue 8, 15 June 2012, Pages 7196-7206. (IF: 1.924).

Bay Vo, Tzung-Pei Hong, Bac Le. Dynamic bit vectors: An efficient approach for mining frequent itemsets. Scientific Research and Essays. Vol. 6(25), pp. 5358-5368, 30 October, 2011 Available online at http://www.academicjournals.org/SRE. ISSN 1992-2248 ©2011 Academic Journals

T. Hoang Ngan Le, Chia-Chen Lin, Chin-Chen Chang, Hoai Bac Le. A high quality and small shadow size visual secret sharing scheme based on hybrid strategy for grayscale images. Digital Signal Processing. Volume 21, Issue 6, December 2011. ISSN: 1051-2004. doi:10.1016/j.dsp.2011.07.004. Pages 734-745. (IF: 1.220).

Bay Vo, Bac Le, A frequent closed itemsets lattice-based approach for mining minimal non-redundant association rules. International Journal of Database Theory and Application, Vol. 4, No. 1, June, 2011. ISSN: 2005-4270. 23-33.

Bac Le, Huy Nguyen, Bay Vo. An efficient strategy for mining high utility itemsets. International Journal of Intelligent Information and Database Systems, Vol. 5, No. 2, pp. 164 - 176 (2011).(DOI: 10.1504/IJIIDS.2011.038970). (ISSN (Online): 1751-5866 - ISSN (Print): 1751-5858). pp 164 – 176.

Bay Vo, Bac Le. Mining minimal non-redundant association rules using frequent itemsets lattice. International Journal of Intelligent Systems Technologies and Applications 2011 - Vol. 10, No.1 pp. 92 - 106. DOI: 10.1504/IJISTA.2011.038265. (ISSN (Online): 1740-8873 - ISSN (Print): 1740-8865).

Bay Vo, Bac Le, Interestingness Measures for Association Rules: Combination between Lattice and Hash Tables. Expert Systems with Applications, An International Journal. ISSN: 0957-4174. Imprint: ELSEVIER. Volume 38, Issue 9, September 2011, Pages 11630-11640 ( http://dx.doi.org/10.1016/j.eswa.2011.03.042) (IF: 1.924).

Le Hoai Bac, To Hoai Viet, Nguyen Ngoc Thao, Lip detection in Video using AdaBoost and Kalman filtering. The National Symposium in Information Technology, Hue, 12-13/06/2008,412 – 421.

Thi Le Hoang Ngan, Kim Hung Nguyen, Hoai Bac Le. Literature Survey on Image Watermarking Tools, Watermark Attacks and Benchmarking Tools. 2010 Second International Conferences on Advances in Multimedia. Athens, Greece. June 13-June 19. ISBN: 978-0-7695-4068-9. (http://doi.ieeecomputersociety.org/10.1109/MMEDIA.2010.37)

Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin'ichi Satoh, Bac Hoai Le, Duc Anh Duong. An efficient method for face retrieval from large video datasets. Proceedings of the 9th ACM International Conference on Image and Video Retrieval, CIVR 2010, Xi'an, China, July 5-7, 2010. ACM 2010, ISBN 978-1-4503-0117-6. 382-389.

Hoai-Bac Le, Anh-Phuong Pham and Thanh-Thang Tran. Applying HTM-Based System to Recognize Object in Visual Attention. Smart Innovation, Systems and Technologies, 1, Volume 6, 2010, Intelligent Interactive Multimedia Systems and Services, Pages 79-90. DOI: 10.1007/978-3-642-14619-0.

Thanh Tran Nguyen, Bac Le, Thai Hoang Le, Nghia Hoai Le. User Authentication via Keystroke Dynamics Using Bio-matrix and Fuzzy Neural Network. Integrated Uncertainty Management and Applications 2010, Advances in Intelligent and Soft Computing 68. Springer. (http://www.springerlink.com/content/5718m80475n77700/?p=67bbf59842af4b8b9c1557b12ff8c41f&pi=0)

Nguyen Dat Nhan, Nguyen Thanh Hung, Le Hoai Bac. Mining Informative Rule Set for Predication over a Sliding Window. Intelligent Information and Database Systems. Part II. LNAI 5991. Springer, 2010. ISBN 978-3-642-12100-5. DOI 10.1007/978-3-642-12101-2_44. 31-440.(http://www.springerlink.com/content/j91wn7p4476t5364/)

Bay Vo, Bac Le. Mining the Most Generalization Association Rules. Advances in Intelligent Information and Database Systems" (in Springer series Studies in Computational Intelligence), 2010. Volume 283/2010, 207-216, DOI: 10.1007/978-3-642-12090-9_18. Springer.

Tuan Hoang, Dat Tran, Dharmendra Sharma, Trung Le, Bac H. Le, Priority Watermarking-Based Face-Fingerprint Authentication System. 2009 International Conference on Information and Multimedia Technology (ICIMT 2009). Jeju Island, South Korea, December 18-19, 2009. (http://ieeexplore.ieee.org/xpl/tocresult.jsp?asf_arn=null&asf_iid=5380944&asf_pun=null&asf_in=null&asf_rpp=null&asf_iv=null&asf_sp=null&asf_pn=6).

Nam Nguyen Minh, Bac Le Hoai and Nam Nguyen Vinh. An extreme algorithm for network-topology construction based on constrained delaunay triangulation. Knowledge and Systems Engineering, 2009. KSE’09. International Conference on. 13-17 Oct.2009 (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5361709)

Tran Trung, Vo Phong and Le Bac. Detecting probable regions of humans in still images using raw edges. Knowledge and Systems Engineering, 2009. KSE’09. International Conference on. 13-17 Oct.2009. (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5361728).

Dinh Vo Bay, Quoc Nguyen Huy, Tu Ho Bao, Hoai Le Bac. Parallel Method for Mining High Utility Itemsets from Vertical Distributed Databases, KES2009, 13th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems. 28-30 September 2009 Santiago, Chile.(KES 2009, Part I, LNAI 5711). (http://www.springerlink.com/content/t6766715169l7644)

Bay Vo, Bac Le, Fast Algorithm for Mining Minimal Generator of Frequent Clossed Itemsets. CIE39, International conference on Computers & Industrial Engineering, France July 6 - 8 2009. (http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5223483&isYear=2009&count=345&page=10&ResultStart=250).

Bay Vo, Bac Le, Mining Traditional Association Rules using Frequent Itemsets Lattice. CIE39, International conference on Computers & Industrial Engineering, France, July-8 2009.(http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5223483&isYear=2009&count=345&page=10&ResultStart=250)

Hoai-Viet To, Ryutaro Ichise, Hoai-Bac Le, An Adaptive Machine Learning Framework with User Interaction for Ontology Matching, The IJCAI 2009 Workshop on Information Integration on the Web, California-USA, July 11-17, 2009. (http://research.ihost.com/iiweb09/index.html)

Vo Dinh Phong, Tran Ngoc Trung, Le Hoai Bac, On Evaluating Sport Event Recognition using Bag-of-Words Model. IEEE - RIVF 2009, International Conference on Computing and Communication Technologies, July 13-17, 2009. (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5174651)

Do Toan, Le Thai, Bac Le Hoai, Boosted of Haar-like Features and Local Binary Pattern Based Face Detection. IEEE - RIVF 2009, International Conference on Computing and Communication Technologies, July 13-17, 2009. (http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5174627)

Hoai Bac Le, Tran Thanh Thang, Recognizing objects in images using visual attention schema. KES IIMSS 2009, Italy 16-17 July 2009. (http://springerlink.com/content/8306k52315451444/?p=3b5480099aa84b08a46eb43e742c86be&pi=11)

Bac Le, Huy Nguyen, Tung Anh Cao, Bay Vo. A Novel Algorithm for Mining High Utility Itemsets.

Bac Le Hoai, Viet To Hoai, Thao Nguyen Ngoc, Lip detection in Video using AdaBoost and Kalman filtering”. Research, Development and Application on Information Technology and Communication Technology”, Volume E-1, No.2 (6), 2009.

Bay Vo, Bac Le. Mining Minimal Non-redundant Association Rules using Frequent Itemsets Lattice. International Journal of Intelligent Systems Technologies and Applications(IJISTA),2010. (http://www.inderscience.com/browse/index.php?journalID=35&action=coming)

Chang, C. C., Lin, C. C., LE, T. H. N., LE, H. B., Self Verifying Visual Secret Sharing Using Error Diffusion and Interpolation Techniques. IEEE Transations on Information Forensics and Security, Vol. 4, Issue 4, pp. 790 – 801, Dec. 2009. (10.1109/TIFS.2009.2034203) .

Bay Vo, Bac Le, Fast Algorithm for Mining Generalized Association Rules, International Journal of Database Theory and Application (IJDTA). Vol. 2, No. 2, 2009.(http://www.sersc.org/journals/IJDTA/vol2_no3/1.pdf).

Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le. Sharing a verifiable secret image using two shadows, Pattern Recognition. The Journal of the Pattern Recognition Society. ISSN: 0031-3203, 42 (2009). 3097 – 3114. (http://dx.doi.org/10.1016/j.patcog.2009.04.012

Bac Le Hoai, Bay Vo Dinh, A Novel Classification Algorithm based – on Association rules mining, PKAW 2008. LNAI 5465, pp 61-75. 2009. ©Springer-Verlag Berlin Heidelberg 2009. (www.springerlink.com/content/x7nl9q15p1774101/).

Le Hoai Bac, Vo Huynh Tuan Kiet, Nguyen Hai Minh, Apply Neuron and SVM in developing algorithm for Watermarking colour pictures. Journal on Information and Communication Technologies, No 20, Oct 2008. 124 – 134.

Phi-Vu Nguyen, Hoai-Bac Le, A Multi-modal Particle Filter Based Motorcycle Tracking System, PRICAI 2008, LNAI 5351, pp. 819–828, © Springer-Verlag Berlin Heidelberg 2008

Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le, A New Probabilistic Visual Secret Sharing Scheme for Color Images, International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2008, pp. 1305-1308., 2008

Chin-Chen Chang, Chia-Chen Lin, T. Hoang Ngan Le, Hoai Bac Le, A Probabilistic Visual Secret Sharing Scheme for Grayscale Images with Voting Strategy, International Symposium on Electronic Commerce and Security, ISECS 2008, pp 184-188. (http://doi.ieeecomputersociety.org/10.1109/ISECS.2008.128)., 2008

Vo Phong Dinh, Le Bac-Hoai, Detal Radiographs Segmentation Based on Tooth Anatomy, Addendum Contributions to the 2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies (RIVF’08), HoChiMinh City, July 13-17, 2008, 64-69, 2008

Phi Vu Nguyen, Hoai-Bac Le, Incorprorating Statiscal Background Model and Joint Probabilistic Data Association Filter into Motorcycle Tracking, Proceedings of the 2008 IEEE International Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies (RIVF’08), HoChiMinh City, July 13-17, 2008, 284-291. (Best Paper Award)., 2008

Le Hoai Bac, Vo Đinh Bay, Mining shorten association rules, The Second National Symposium in Information Technology, Dai lai, 14th -15th Sep 2007. 161-168,

Le Hoai Bac, Le Hoang Thai, GA algorithms in matching fingerprints, The Second National Symposium Fundamental and Applied Information Technology Research - FAIR2007, Nha Trang, 321 – 333.

Le Hoai Bac, Vo Đinh Bay, Clustering frequent itemsets applied in mining association rules. The Second National Symposium Fundamental and Applied Information Technology Research - FAIR2007, Nha Trang. 96 – 107.

Le Hoai Bac, Vo Đinh Bay, Mining essential rules using frequent closed itemsets.Journal Science & technology development, HCMC National University, Vol 11, Jan 2008.40 – 50.

Le Hoai Bac, Vo Đinh Bay, Fast algorithm for mining Minimal Generator of frequent closed itemsets. Journal Science & technology development, HCMC National University, Vol 10, Dec 2007.11 – 20.

Le Hoai Bac, Le Hoang Thai, Tran Minh Thai, Fuzzy neuron network for certifying products Logo, The memorial of the 30th IOIT’s foundation, 27th -28th Dec 2006. 230 – 238.

Le Hoai Bac, Vo Đinh Bay, Mining non-redundant association rules using frequent closed itemsets lattice.The memorial of the 30th IOIT’s foundation, 27th -28th Dec 2006 174 – 183.

Le Hoai Bac, Nguyen Phi Vu, Applying color-based Particle Filter in traffic Surveillance system. Journal on Information and Communication Technologies Oct 2006 No 18, 10/2007, 52 – 59.

Le Hoai Bac, Vo Đinh Bay, Mining non-redundant association rules using frequent closed itemsets, The National Symposium in Information Technology, Dalat 15th -17th June 2006. 141-150.

Le Hoai Bac, Vo Đinh Bay, Mining the shorten association rules using frequent itemsets lattice, The National Symposium in Information Technology, Dalat 15th -17th June 2006.

Le Hoai Bac, Nguyen Ngoc Ha, Luu Khoa, Le Thi Hoang Ngan, Watermarking in digital sound by combining spectrum technical and hearing system model, Journal on Information and Communication Technologies April 2006, No 16, 4/2006, 78 – 85., 2006

Le Hoai Bac, Le Nguyen Tuong Vu, Pham Nam Trung, Applied Particle Filter in Traffic Tracking, Research & Innovation – Vision for the Future (RIVF’06), 4th International Conference in Computing Sciences, February 05-09, 2006, HoChiMinh City, Vietnam. (Best Paper Award), 2006

Le Hoai Bac, Le Nguyen Tuong Vu, Pham Nam Trung, Partical Filter and its Application in urban traffic management , The National Symposium in Information Technology, Hai phong, 25th -27th Aug 2005

Le Hoai Bac, Le Hoang Thai, Evolutionary algorithm for identifying learning parameters of repeatedly Neuron Network: applied for flower pictures classification. The National Symposium in Information Technology, Hai phong, 25th -27th Aug 2005

Le Hoai Bac, Le Hoang Thai,Some intelligent hybrid system models: Technical and application. The Second National Symposium Fundamental and Applied Information Technology Research - FAIR2005, HCMC.

Le Hoai Bac, Nguyen Anh Tuan, Rough Set in Features Selection and Reduction in Face Recognition Problem, The Ninth Pacific-Asia Conference on Knowledge Discovery and Data mining, Hanoi, Vietnam, 18-20 May 2005. Lecture Note in Artificial Intelligence, Spring, Part II, pp 1114-1120, 2005

Le Hoai Bac – Le Hoang Thai, The GA_NN_FL associated model in solving the problem of fingerprint authentication, KES”2004, Eighth International Conference on Knowledge – Based Intelligent Information & Engineering System, Lecture Notesin Aritificial intelligence, Spring, Part II, pp 708-715, 2004

Le Hoai Bac – Nguyen Thanh Nghi, Diseases Diagnosis Support Using Rule, Neural Network and Logic, KES”2004, Eighth International Conference on Knowledge – Based Intelligent Information & Engineering System. Lecture Notesin Aritificial intelligence, Spring, Part II, pp 1114-1120, 2004, 2004

Le Hoai Bac, Nguyen Đuc Hoang Ha, Application supports deaf childrento to vocalize, speaking exercise, and cultivate one's mind, The Second National Symposium in Information Technology, Danang 18th -20th Aug 2004

Le Hoai Bac, Nguyen Đuc Hoang Ha, Application supports deaf childrento to vocalize by sing exercising. Journal Science & technology development, HCMC National University, Vol 8, May 2005, 5 – 9.

Le Hoai Bac, Truong Thien Đinh, Traffic monitoring system using computer vision, Journal Science & technology development, HCMC National University, Vol 7, Oct 2004, 5 – 12

Le Hoai Bac, Nguyen Thanh Nghi, Disease Diagnosis Support System Using Neural Network, Journal Science & technology development, HCMC National University, Vol 7, April and May 2004. 89-98.

Le Hoai Bac, Nguyen Thanh Nghi, Semantic web Overview, Journal Science & technology development, HCMC National University, Vol 7, Jan 2004. 66-75

Le Hoai Bac, Đo Quang Duong, Fuzzy Support Vector Machine and apply in filtering Email, National Conference of Information Technology – 29th -31st August 2003, Thai Nguyen, Viet nam

Hoang Kiem, Le Hoai Bac, Đo Quang Duong, Apply Neuron Network, Fuzzy Logic and GA to optimize formulas and drug producing process. Journal Science & technology development, HCMC National University, Vol 6, May and June 2003, 5 – 12

Le Hoai Bac, Hoang Than Anh Tuan, Mining the rule elements in music. Proceedings of national conference: Some selection problems of Information Technology – June 2002, Nha trang, Việt nam.

Le Hoai Bac, Nguyen Đuc Hoang Ha. Application supports deaf childrento train in speaking skills. Proceedings of national conference: Some selection problems of Information Technology – June 2002, Nha trang, Việt nam.

Le Hoai Bac, Hoang Than Anh Tuan.Composing music by Gas. The memorial of the 25th IOIT’s foundation, 24th -25th Dec 2001, Hanoi

Le Hoai Bac, Nguyen Quang Đinh, Using the rules system in music research, The memorial of the 25th IOIT’s foundation, 24th -25th Dec 2001, Hanoi

Le Hoai Bac, Le Hoang Thai, Neural network & Genetic algorithm in application to Handrwritten character recognition, Journal of Computer Science and Cybernetics. Vol 17 no 4, 2001

Le Hoai Bac, Le Hoang Thai, The Association of Genetic Algorithm and Fuzzy Neural Network in Handwriten Character Recognition, KES'2001,Fifth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies 6, 7 & 8 September 2001 Osaka-Kyoiku U niversity, Osaka, Japan., 2001

Do Van Nhon, Le Hoai Bac, Weighted Computational Net, IT@ Edu2000, January 6~7, 2000, HoChiMinh City, 92-98., 2000

Hoang Kiem, Le Hoai Bac, Vu Hai Quan, The recognition of Handwritting Vietnamese name using HMMS, National Conference of Applied Conputing, June 2000, Qui Nhon

Hoang Kiem, Le Hoai Bac, Le Hoang Thai, Neural network and Fuzzy logic: An application for fingerprint recoginition, Journal of Computer Science and Cybernetics -IOIT No 4 -1999

Le Hoai Bac, Le Hoang Thai, Hoang Kiem, A Fuzzy Neural Network for Vietnamese Character Recognition, 1999 IEEE International Conference on Image Processing, October 25th-28th,1999. International Conference Center, Kobe - Japan., 1999

Hoang Kiem, Le Hoai Bac, Le Hoang Thai, A Fuzzy Neural Network for fingerprint classication, 7th European Congress on Intelligent Technology and Soft Computing, September 13-16,1999, Aachen, Germany., 1999

Le Hoai Bac, Đo Van Nhon, An Algorithm on relational knowledge model and its application, Journal Science & technology development, The second year, Volume 2– Number 2&3/1999. 81-85., 1999

Le Hoai Bac, Tran Thai Son, Expressing natural language into the fuzzy set form and applying this method into image- classification problems for eliminating noises, Journal Science & technology development, The second year, Volume 2-Number 2&3/1999, 74-80

Hoang Kiem, Le Hoai Bac, Le Hoang Thai, A fuzzy neural network for VietNam character recognition, VJFUZZY’98 - Halong Bay-Vietnam 30th September-2nd October,1998, 474 -481., 1998

Đo Van Nhon, Le Hoai Bac, Analytic Geometry problem Solving system, National Conference of Applied Conputing, 04-06 August 1998, Qui Nhon,92-98.

Le Hoai Bac, Vu Hai Quan, Some concurrent programing methods of Java in Windows NT Environment, National Conference of Applied Conputing, 04-06 August 1998, Qui Nhon, 161-171.

Le Hoai Bac, Class of objects used for Managing Fuzyy Sets, Bulletin of University of HCM City-Secsion: Natural Sciences-No 2/1997,1- 9., 1997

Hoang Kiem, Đo Van Nhon, Le Hoai Bac, A Knowledgeable model: Network of C-Objects, Asia-Pacific Symposium on Information and Telecommunication Technologies (APSITT’97), 3/1997 Hanoi-Vietnam, 15.5.1-15.5.4., 1997

Nguyen Xuan Huy, Le Hoai Bac. Class of fuzzy sets. Preceedings of the sixth week in computing. HCMC 06-11-Nov-1996, 205-214.

Le Hoai Bac, Hoang Hoa Tuan. Expert system analysing inorganic Cation in water sulution. The 2nd national conference of Applied Computing in Chemistry, Hanoi, 02-03 May 1996, 313-320.

Le Hoai Bac, Tran Đinh Khang, Knowledge Based System for Intelligence Computing, Bulletin of University of HCM City - Secsion B: Natural Sciences - No 1/1996, 17-21, 1996

Phát triển các thuật toán phân lớp dựa trên khai thác luật kết hợp

Phát triển các thuật toán khai thác mẫu tuần tự và luật từ cơ sở dữ liệu chuỗi

Phát hiện các mẫu có lợi ích cao trên cơ sở dữ liệu lượng hóa

Phát triển các phương pháp ẩn luật kết hợp trong khai thác dữ liệu đảm bảo tính riêng tư

Đề án Đào tạo nguồn nhân lực trình độ quốc tế ngành Trí tuệ nhân tạo

Phát triển các phương pháp ẩn luật kết hợp trong khai thác dữ liệu đảm bảo tính riêng tư

Các thuật toán nâng cao trong khai thác mẫu tuần tự và luật

Phát triển các thuật toán khai thác mẫu tuần tự và luật từ cơ sở dữ liệu chuỗi

Phát triển các thuật toán khai thác tập phổ biến và tập phổ biến đóng trên cơ sở dữ liệu tăng trưởng

Phát triển một số thuật toán truy tìm nhân vật trong các kho dữ liệu lớn.

Phát triển các thuật toán khai thác hiệu quả luật kết hợp trên các loại cơ sở dữ liệu

Nâng cao tính hiệu quả của các thuật toán khai thác dữ liệu

Một số phương pháp tìm kiếm luật kết hợp và ứng dụng.

Xây dựng chương trình hỗ trợ trẻ khiếm thính luyện âm, tập nói, và rèn luyện tư duy.

Nguyên cứu và phát triển một số mô hình tính toán mềm cho các hệ thông minh.

Nghiên cứu, xây dựng hệ hỗ trợ quyết định dựa trên mạng Nơ-ron, logic mờ để chẩn đoán, phục hồi, và dự đoán thông tin từ dữ liệu ảnh và tài liệu.