Associate Prof. Dr. Thanh-Hai Nguyen
Associate Prof. Dr. Thanh-Hai NguyenVice Dean of FIS, Head of IIS Labnthai.cit@ctu.edu.vn
PGS. TS. Nguyễn Thanh Hải
Faculty of Information Systems
College of Information and Communication Technology, Can Tho University, Viet Nam
Address: 3/2 str., Ninh Kieu dist., Can Tho city, Vietnam. Tel: +84 7103 831301.
Research profiles: Google Scholar, ORCID

Teaching subjects

  • Data Mining and Machine Learning
  • Computer Vision
  • E-commerce
  • UML
  • Business intelligence

Research topics

  • Data Analysis/Mining
  • Machine Learning
  • Multimedia Data
  • Computer Vision
  • Smart Health

International Conferences, Journals, Book chapters

  1. Bùi Đăng Hà Phương, Nguyễn Thanh Hải, Truong Thanh Nguyen, Thang Minh Nguyen. 2023. AN APPROACH FOR TRAFFIC SIGN RECOGNITION WITH VERSIONS OF YOLO. Communications in Computer and Information Science. Nguyen Thai-Nghe, Thanh-Nghi Do, Peter Haddawy. 204–211. (Đã xuất bản)
  2. Trần Công Án, Trịnh Thị Kim Thanh, Nguyễn Thanh Hải. 2023. AN IMAGE-BASED WEIGHING CALCULATION APPROACH ON CLOCK TYPE WEIGHING SCALE WITH DEEP LEARNING AND GEOMETRY TRANSFORMATIONS. Advances in Technology Innovation. 8. 100–110. (Đã xuất bản)
  3. Trần Công Án, , Nguyễn Thái Nghe, Trần Thanh Điện, Nguyễn Thanh Hải. 2023. COURSE RECOMMENDATION BASED ON GRAPH CONVOLUTIONAL NEURAL NETWORK. Lecture Notes in Computer Science. 36. 235-240. (Đã xuất bản)
  4. Nguyễn Thanh Hải, Phạm Thị Ngọc Diễm, , Mai Ngoc Thien Nhi, Le Dang Dang Khoa. 2023. PHOBERT: APPLICATION IN DISEASE CLASSIFICATION BASED ON VIETNAMESE SYMPTOM ANALYSIS. Applied Computer Systems. 28. 35–43. (Đã xuất bản)
  5. Trần Công Án, Châu Nguyễn Nhật Anh, Trần Công Nghị, Nguyễn Thanh Hải. 2023. AN APPROACH FOR COUNTING BREEDING EELS USING MATHEMATICAL MORPHOLOGY OPERATIONS AND BOUNDARIES DETECTION. Applied Computer Systems. 27. 110 - 118. (Đã xuất bản)
  6. Nguyễn Thanh Hải, Nguyễn Ngọc Mỹ, Phung Duong Linh , Pham Thi Thuy Linh. 2023. ANOMALIES DETECTION IN CHEST X-RAYS IMAGES USING FASTER R-CNN AND YOLO. Vietnam Journal of Computer Science. 10. 499-515. (Đã xuất bản)
  7. Phạm Thị Ngọc Diễm, Ha Ngoc Lan, Nguyễn Thanh Hải. 2023. TRANSFER LEARNING FOR ABNORMAL BEHAVIORS IDENTIFICATION IN EXAMINATION ROOM FROM SURVEILLANCE VIDEOS: A CASE STUDY IN VIETNAM. Lecture Notes in Computer Science. In: Ngoc Thanh Nguyen · Siridech Boonsang · Hamido Fujita · Bogumiła Hnatkowska · Tzung-Pei Hong · Kitsuchart Pasupa · Ali Selamat. 45-57. (Đã xuất bản)
  8. Nguyễn Thanh Hải, Lê Duy Anh, , Trần Thanh Điện. 2023. TOPIC CLASSIFICATION BASED ON SCIENTIFIC ARTICLE STRUCTURE: A CASE STUDY AT CAN THO UNIVERSITY JOURNAL OF SCIENCE. Communications in Computer and Information Science. 1. 208–215. (Đã xuất bản)
  9. 9.  Lương Hoàng Hướng, Phong vo, Hau Phan, Nam Tran, Hung Le, Nguyễn Thanh Hải. 2023. FINE-TUNING VGG16 FOR ALZHEIMER’S DISEASE DIAGNOSIS. Lecture Notes on Data Engineering and Communications Technologies book series. 176. 68–79. (Đã xuất bản)
  10. 10.  Huỳnh Xuân Hiệp, Nguyễn Trần Tiến Dũng, Lương Hoàng Hướng, Nguyễn Thanh Hải. 2023. CELLULAR AUTOMATA-BASED SIMULATION MODEL FOR WATER QUALITY MANAGEMENT OF PANGASIUS PONDS. (SCI) Machine Learning and Mechanics Based Soft Computing Applications [ISSN 1860-949X]. 1068. 13-28. (Đã xuất bản)
  11. 11.  Khoi Nguyen, Nguyễn Thanh Hải, Hy Khang Vuong Nguyen, Lam Dung, Tuan Dao, Nhan Trong Van Pham, Lương Hoàng Hướng. 2023. DOMAIN NAME SYSTEM RESOLUTION SYSTEM WITH HYPERLEDGER FABRIC BLOCKCHAIN. Lecture Notes in Networks and Systems book series. 563. 59–72. (Đã xuất bản)
  12. 12.  Lương Hoàng Hướng, Nguyễn Thanh Hải, Nguyễn Thái Nghe. 2023. A COMBINATION OF ACTIVE LEARNING AND DEEP LEARNING FOR IMPROVING BREAST CANCER PREDICTION. Lecture Notes in Networks and Systems. In: Nghia, P.T., Thai, V.D., Thuy, N.T., Son, L.H., Huynh, VN. (eds). 3-10. (Đã xuất bản)
  13. 13.  Trần Công Án, Nguyễn Thị Mộng Thúy, Nguyễn Hữu Vân Long, Nguyễn Thanh Hải. 2023. A TRANSFER LEARNING-BASED APPROACH FOR RICE PLANT DISEASE DETECTION. Lecture Notes in Computer Science. 13925. 145--150. (Đã xuất bản)
  14. 14.  Huỳnh Xuân Hiệp, Nguyễn Tấn Lợi, Nguyễn Thanh Hải, Nguyễn Thị Thùy Linh. 2023. MULTIPLE-CRITERIA RATING RECOMMENDATION WITH ORDERED WEIGHTED AVERAGING AGGREGATION OPERATORS. (LNICST) Context-Aware Systems and Applications [ISSN 1867-8211]. 475. Springer. (Đã xuất bản)
  15. 15.  Nguyễn Thái Nghe, Trần Minh Tân, Le Minh Hai, Nguyễn Thanh Hải. 2023. FACEMASK DETECTION USING TRANSFER LEARNING. Intelligent Systems and Data Science. Thai-Nghe, N., Do, TN., Haddawy, P. (eds). 212-219. (Đã xuất bản)
  16. 16.  Nguyễn Thanh Hải, Trần Thanh Điện, Ngo Hung Vy. 2023. CONTEXT-BASED AND COLLABORATION-BASED PRODUCT RECOMMENDATION APPROACHES FOR A CLOTHES ONLINE SALE SYSTEM. Studies in Computational Intelligence. Thi Dieu Linh Nguyen et al. 41–52. (Đã xuất bản)
  17. 17.  Nguyễn Thanh Hải, Bùi Đăng Hà Phương, . 2023. ELECTROCARDIOGRAM-BASED HEART DISEASE CLASSIFICATION WITH MACHINE LEARNING TECHNIQUES. Communications in Computer and Information Science. Ngoc Thanh Nguyen et al.. 689–701. (Đã xuất bản)
  18. 18.  Vo Minh Trang, Thien Thanh Vo, Phan Tấn Tài, Nguyễn Thanh Hải, Trần Thanh Điền. 2023. DATA AUGMENTATION TECHNIQUES EVALUATION ON ULTRASOUND IMAGES FOR BREAST TUMOR SEGMENTATION TASKS. Studies in Computational Intelligence. Nguyen Hoang Phuong et al. 153-164. (Đã xuất bản)
  19. 19.  Nguyễn Thanh Hải, Dao Cong Tinh, Phan Nguyen Minh Thao, Phan Tấn Tài. 2023. FAKE FACE DETECTION IN VIDEO USING SHALLOW DEEP LEARNING ARCHITECTURES. International Journal of Intelligent Systems Technologies and Applications. 20. 469–486. (Đã xuất bản)
  20. 20.  Phan Nguyen Minh Thao, Dao Cong Tinh, Phan Tấn Tài, Nguyễn Thanh Hải. 2023. SDCANET: ENHANCING SYMPTOMS-DRIVEN DISEASE PREDICTION WITH CNN-ATTENTION NETWORKS. Communications in Computer and Information Science book series. N. Thai-Nghe et al.. 15–30. (Đã xuất bản)
  21. 21.  Trần Công Án, Võ Thành Vũ, Trần Công Nghị, Nguyễn Thanh Hải. 2023. AN IMPLEMENTATION AND EVALUATION OF LAYER 2 FOR ETHEREUM WITH ZK-ROLLUP. Lecture Notes in Computer Science. 13831. 107--115. (Đã xuất bản)
  22. 22.  Huỳnh Xuân Hiệp, Phan Anh Cang, Trần Thị Cẩm Tú, Nguyễn Thanh Hải, Trương Quốc Định. 2023. THRESHOLD TEXT CLASSIFICATION WITH KULLBACK–LEIBLER DIVERGENCE APPROACH. (SCI) Machine Learning and Mechanics Based Soft Computing Applications [ISSN 1860-949X]. 1068. 1-11. (Đã xuất bản)
  23. 23.  Nguyễn Thái Nghe, Nguyen Minh Hong, Pham Thi Bich Nhu, Nguyễn Thanh Hải. 2023. CLASSIFICATION OF PNEUMONIA ON CHEST X-RAY IMAGES USING TRANSFER LEARNING. Lecture Notes on Data Engineering and Communications Technologies. Dao, NN., Thinh, T.N., Nguyen, N.T. (eds). 85-93. (Đã xuất bản)
  24. 24.  Nguyễn Thanh Hải, Pham Huynh Ngoc, Tran Hoang Le Chi, Le Dang Dang Khoa. 2023. DEEP BIDIRECTIONAL LSTM FOR DISEASE CLASSIFICATION SUPPORTING HOSPITAL ADMISSION BASED ON PRE-DIAGNOSIS: A CASE STUDY IN VIETNAM. International Journal of Information Technology. 15. 2677–2685. (Đã xuất bản)
  25. 25.  Nguyễn Ngọc Mỹ, Nguyễn Thanh Hải, Bùi Đăng Hà Phương, Nguyễn Quốc Kiệt. 2023. EFFICIENCY EVALUATION OF HANNING WINDOW-BASED FILTER ON HUMAN SKIN DISEASE DIAGNOSIS. Lecture Notes in Networks and Systems. In: Nguyen, T.D.L., Verdú, E., Le, A.N., Ganzha, M. (eds) Intelligent Systems and Networks. (Đã xuất bản)
  26. 26.  Pham Huynh Ngoc, Nguyễn Thanh Hải. 2023. DIABETIC RETINOPATHY DIAGNOSIS LEVERAGING DENSELY CONNECTED CONVOLUTIONAL NETWORKS AND EXPLANATION TECHNIQUE. Lecture Notes on Data Engineering and Communications Technologies book series. 188. 105–114. (Đã xuất bản)
  27. 27.  Trần Công Án, Lâm Phi Long, Nguyễn Thanh Hải. 2023. MEDICAL RECORDS SHARING SYSTEM BASED ON BLOCKCHAIN: A CASE STUDY IN VIETNAM. Smart Innovation, Systems and Technologies. 324. 179–188. (Đã xuất bản)
  28. 28.  Huỳnh Xuân Hiệp, Mai Thị Cẩm Nhung, Nguyễn Thanh Hải. 2023. BALLTREE SIMILARITY: A NOVEL SPACE PARTITION APPROACH FOR COLLABORATIVE RECOMMENDER SYSTEMS. (LNICST) Context-Aware Systems and Applications [ISSN 1867-8211]. 475. 112-128. (Đã xuất bản)
  29. 29.  Trần Thanh Điện, Nguyễn Thanh Hải, Nguyễn Thái Nghe. 2023. NOVEL APPROACHES FOR SEARCHING AND RECOMMENDING LEARNING RESOURCES. Cybernetics and Information Technologies. 23. 151-169. (Đã xuất bản)
  30. 30.  Nguyễn Thanh Hải, , vo dan linh. 2023. APPROXIMATE NEAREST NEIGHBOUR-BASED INDEX TREE: A CASE STUDY FOR INSTRUMENTAL MUSIC SEARCH. Applied Computer Systems. 28. 156–162. (Đã xuất bản)
  31. 31.  Lương Hoàng Hướng, Nghia Trong, Toai Dinh, Thuan Dang, Tong Nguyen, Nguyễn Thanh Hải, Tin Duong. 2023. FINE-TUNING MOBILENET FOR BREAST CANCER DIAGNOSIS. Lecture Notes in Networks and Systems book series. 563. 841–856. (Đã xuất bản)
  32. 32.  Phạm Thị Ngọc Diễm, Chau Si Quych Di, Duong Quang Thien, Tran Hoang Le Chi, Nguyễn Thanh Hải, Trần Thanh Điền. 2023. DETECTION OF FENCE CLIMBING BEHAVIOR IN SURVEILLANCE VIDEOS USING YOLO V4. Lecture Notes in Networks and Systems. In: Thi Dieu Linh Nguyen · Elena Verdú · Anh Ngoc Le · Maria Ganzha. 418-425. (Đã xuất bản)
  33. 33.  Pham Huynh Ngoc, Nguyễn Thanh Hải, Phan Tấn Tài. 2023. SHALLOW CONVOLUTIONAL NEURAL NETWORK CONFIGURATIONS FOR SKIN DISEASE DIAGNOSIS. Lecture Notes on Data Engineering and Communications Technologies book series. Nhu-Ngoc Dao et al. 370–381. (Đã xuất bản)
  34. 34.  Nguyễn Thanh Hải, Nguyễn Ngọc Mỹ, phung duong linh, Nguyen Anh Bang, Nguyen Chi Linh. 2023. RECOGNITION AND 3D VISUALIZATION OF HUMAN BODY PARTS AND BONE AREAS USING CT IMAGES. Applied Computer Systems. 28. 66 - 77. (Đã xuất bản)
  35. 35.  Nguyễn Thanh Hải, , huynh bao long, Bao Quoc Hoang Le, Nhan Hieu Doan, Duc Thien Dao Le. 2023. AN IMPROVED MOBILENET FOR DISEASE DETECTION ON TOMATO LEAVES. Advances in Technology Innovation. 8. 192–209. (Đã xuất bản)
  36. 36.  Nguyễn Văn Kha, Nguyễn Thanh Hải, Lê Quyết Thắng, Trương Minh Nhật Quang. 2023. ABNORMAL NETWORK PACKETS IDENTIFICATION USING HEADER INFORMATION COLLECTED FROM HONEYWALL ARCHITECTURE. JOURNAL OF INFORMATION AND TELECOMMUNICATION. 7. 437-461. (Đã xuất bản)
  37. 37.  Nguyễn Thanh Hải, Lê Duy Anh, Nguyễn Thái Nghe, Trần Thanh Điện. 2022. AN APPROACH FOR SIMILARITY VIETNAMESE DOCUMENTS DETECTION FROM ENGLISH DOCUMENTS. Communications in Computer and Information Science. Tran Khanh Dang, Josef Küng, Tai M. Chung. 574–587. (Đã xuất bản)
  38. 38.  Nguyễn Thanh Hải, Linh Ngoc Le, Vo Minh Trang, Phạm Thị Ngọc Diễm, Trần Thanh Điền. 2022. BREAST ULTRASOUND IMAGE CLASSIFICATION USING EFFICIENTNETV2 AND SHALLOW NEURAL NETWORK ARCHITECTURES. Lecture Notes in Networks and Systems book series. Leonard Barolli. 130–142. (Đã xuất bản)
  39. 39.  Huong Hoang Luong, Trong Thanh Tran, Ngoc Van Nguyen, An Duc Le, Huyen Thi Thanh Nguyen, Khoi Dinh Nguyen, Nghi Cong Tran, Nguyễn Thanh Hải. 2022. FEATURE SELECTION USING CORRELATION MATRIX ON METAGENOMIC DATA WITH PEARSON ENHANCING INFLAMMATORY BOWEL DISEASE PREDICTION. Lecture Notes in Electrical Engineering. Rosdiazli Ibrahim, K. Porkumaran, Ramani Kannan, Nursyarizal Mohd Nor, S. Prabakar. 1073–1084. (Đã xuất bản)
  40. 40.  Ha Thanh Thi Hoang, Chau Ngoc Ha, Dat Tien Nguyen, Truong Nhat Nguyen, , Phan Tấn Tài, Nguyễn Thanh Hải. 2022. POSES CLASSIFICATION IN A TAEKWONDO LESSON USING SKELETON DATA EXTRACTED FROM VIDEOS WITH SHALLOW AND DEEP LEARNING ARCHITECTURES. Communications in Computer and Information Science. Tran Khanh Dang, Josef Küng, Tai M. Chung. 447–461. (Đã xuất bản)
  41. 41.  Trần Công Án, Hồ Thị Lài, Nguyễn Thanh Hải. 2022. INFORMATION EXTRACTION FROM INVOICES BY USING A GRAPH CONVOLUTIONAL NEURAL NETWORK: A CASE STUDY OF VIETNAMESE STORES. IEIE Transactions on Smart Processing & Computing. 11. 316-323. (Đã xuất bản)
  42. 42.  Tran Hoang Le Chi, Phan Huyen Trang, Phạm Thị Ngọc Diễm, Nguyễn Thanh Hải. 2022. GROSS DOMESTIC PRODUCT PREDICTION IN VARIOUS COUNTRIES WITH CLASSIC MACHINE LEARNING TECHNIQUES. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series. 473. 136–147. (Đã xuất bản)
  43. 43.  Nguyễn Thái Nghe, Nguyễn Thanh Hải, Trần Thanh Điện. 2022. RECOMMENDATIONS IN E-COMMERCE SYSTEMS BASED ON DEEP MATRIX FACTORIZATION. Future Data and Security Engineering Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. Tran Khanh Dang, Josef Küng, and Tai M. Chung. 419-431. (Đã xuất bản)
  44. 44.  Mai Truc Lam Nguyen , Nguyễn Thanh Hải. 2022. CLOTHING CLASSIFICATION USING SHALLOW CONVOLUTIONAL NEURAL NETWORKS. Studies in Computational Intelligence. Nguyen Hoang Phuong, Vladik Kreinovich. 239–250. (Đã xuất bản)
  45. 45.  Nguyễn Thanh Hải, Tan Nguyen Lam Thanh, Tai Le Ngoc, Lê Duy Anh, Trần Thanh Điện. 2022. EVALUATION ON NOISE REDUCTION IN SUBTITLE GENERATOR FOR VIDEOS. Lecture Notes in Networks and Systems book series. Leonard Barolli. 140–150. (Đã xuất bản)
  46. 46.  Nguyễn Thanh Hải, Trinh Kieu Nguyen, Minh Tri Pham, Chi Le Hoang Tran, Trần Thanh Điện, Nguyễn Thái Nghe. 2022. SIMILAR VIETNAMESE DOCUMENT DETECTION IN ONLINE ASSIGNMENT SUBMISSION SYSTEM. Studies in Computational Intelligence. Nguyen Hoang Phuong, Vladik Kreinovich. 251–264. (Đã xuất bản)
  47. 47.  Duy Thuy Thi Nguyen, Nguyễn Thanh Hải. 2022. IMAGE CAPTION GENERATOR WITH A COMBINATION BETWEEN CONVOLUTIONAL NEURAL NETWORK AND LONG SHORT-TERM MEMORY. Studies in Computational Intelligence. Nguyen Hoang Phuong, Vladik Kreinovich. 225–238. (Đã xuất bản)
  48. 48.  Trần Thanh Điện, Nguyễn Thái Nghe, Nguyễn Thanh Hải. 2022. AN APPROACH FOR LEARNING RESOURCE RECOMMENDATION USING DEEP MATRIX FACTORIZATION. Journal of Information and Telecommunication. 6. 381-398. (Đã xuất bản)
  49. 49.  Nhi Yen K. Phan , Nguyễn Thanh Hải. 2022. BINNING ON METAGENOMIC DATA FOR DISEASE PREDICTION USING LINEAR DISCRIMINANT ANALYSIS AND K-MEANS. Lecture Notes in Networks and Systems. Ngoc Le Anh, Seok-Joo Koh, Thi Dieu Linh Nguyen, Jaime Lloret, Thanh Tung Nguyen. 402–409. (Đã xuất bản)
  50. 50.  Nguyễn Thanh Hải, , Phat Tan Phan, Hung Huy Duc Nguyen, Duong Ly, Duc Minh Phan, Tin Trung Do. 2022. HS-UNET-ID: AN APPROACH FOR HUMAN SKIN CLASSIFICATION INTEGRATING BETWEEN UNET AND IMPROVED DENSE CONVOLUTIONAL NETWORK. International Journal of Imaging Systems and Technology. 32. 1832-1845. (Đã xuất bản)
  51. 51.  Nguyễn Thanh Hải, Chi Le Hoang Tran, Huong Hoang Luong . 2022. MOBILITY PREDICTION ON A LOCATION-BASED SOCIAL NETWORK USING K LATEST MOVEMENTS OF FRIENDS. Lecture Notes in Networks and Systems. Ngoc Le Anh, Seok-Joo Koh, Thi Dieu Linh Nguyen, Jaime Lloret, Thanh Tung Nguyen. 279–286. (Đã xuất bản)
  52. 52.  Nguyễn Thanh Hải, Thu Anh Thi Nguyen, Khanh Kim Nguyen, Chi Le Hoang Tran, Thai Minh Phan Le, Phạm Thị Ngọc Diễm, Trần Thanh Điền. 2022. CLOTHING RECOGNITION USING TRANSFER LEARNING AND SEGMENTATION TECHNIQUES. Lecture Notes in Networks and Systems book series. Ngoc Le Anh, Seok-Joo Koh, Thi Dieu Linh Nguyen, Jaime Lloret, Thanh Tung Nguyen. 437–444. (Đã xuất bản)
  53. 53.  Nguyễn Thanh Hải, Nguyễn Ngọc Mỹ, Duong Quoc Thich, Bùi Đăng Hà Phương. 2022. DENOISING WITH MEDIAN AND BILATERAL ON CT IMAGES FOR LIVER SEGMENTATION. 2022 RIVF International Conference on Computing and Communication Technologies (RIVF). . 59-64. (Đã xuất bản)
  54. 54.  Nguyễn Thanh Hải, Linh Thuy Thi Pham,, Truc Thuy Nguyen Mai, Võ Ngọc Kiều Trinh, Trần Thanh Điện. 2022. LETTER RECOGNITION IN HAND SIGN LANGUAGE WITH VGG-16. Lecture Notes in Networks and Systems book series. Ngoc Le Anh, Seok-Joo Koh, Thi Dieu Linh Nguyen, Jaime Lloret, Thanh Tung Nguyen. 410–417. (Đã xuất bản)
  55. 55.  Nguyễn Thanh Hải, Quyen Thuc Quach, Chi Le Hoang Tran, Huong Hoang Luong . 2022. DEEP LEARNING ARCHITECTURES EXTENDED FROM TRANSFER LEARNING FOR CLASSIFICATION OF RICE LEAF DISEASES. Lecture Notes in Computer Science. Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang. 785–796. (Đã xuất bản)
  56. 56.  Linh Thuy Thi Pham, Khoa Thanh Nguyen, Duyen Thuy Dao, Nguyễn Thanh Hải, Huong Hoang Luong, Nhan Trong Pham Van . 2022. INTELLIGENT HELMET SUPPORTING VISUALLY IMPAIRED PEOPLE USING OBSTACLE DETECTION AND COMMUNICATION TECHNIQUES. Lecture Notes in Networks and Systems. Leonard Barolli. 120–131. (Đã xuất bản)
  57. 57.  Huong Hoang Luong, Nguyễn Thanh Hải, Lan Thu Thi Le, Vinh Quoc Hua, Khang Vu Nguyen, Thinh Nguyen Phuc Bach, Tu Ngoc Anh Nguyen, Hien Tran Quang Nguyen . 2022. TRANSFER LEARNING WITH FINE-TUNING ON MOBILENET AND GRAD-CAM FOR BONES ABNORMALITIES DIAGNOSIS. Lecture Notes in Networks and Systems book series. Leonard Barolli. 171–179. (Đã xuất bản)
  58. 58.  Trần Công Án, Sơn Phước Lộc, Lâm Tường Duy, Trần Công Nghị, Nguyễn Thanh Hải. 2022. HUMAN VOICE RECOGNITION FOR SUBTITLE GENERATORS ON KHMER AND VIETNAMESE NEWSLETTER VIDEOS. RIVF. 1. 124-129. (Đã xuất bản)
  59. 59.  Trần Công Án, Ngô Hữu Trọng, Nguyễn Thanh Hải. 2022. SOCIAL DISTANCING VIOLATION DETECTION IN VIDEO USING CHESSBOARD AND BIRD’S-EYE PERSPECTIVE. Communications in Computer and Information Science. 1688. 462-476. (Đã xuất bản)
  60. 60.  Nguyễn Thanh Hải, , Trong Thanh Tran, Ngoc Van Nguyen , Khoi Dinh Nguyen . 2022. ENHANCING INFLAMMATORY BOWEL DISEASE DIAGNOSIS PERFORMANCE USING CHI-SQUARED ALGORITHM ON METAGENOMIC DATA. Lecture Notes in Networks and Systems. Ngoc Le Anh, Seok-Joo Koh, Thi Dieu Linh Nguyen, Jaime Lloret, Thanh Tung Nguyen. 669–678. (Đã xuất bản)
  61. 61.  Nguyễn Thanh Hải, , Tan Ha Ngoc Kien, Nghia Trong Le Phan, Thuan Minh Dang, Tin Tri Duong, Tong Duc Nguyen, Toai Cong Dinh . 2022. BRAIN TUMORS DETECTION ON MRI IMAGES WITH K-MEANS CLUSTERING AND RESIDUAL NETWORKS. Communications in Computer and Information Science. Costin Bădică, Jan Treur, Djamal Benslimane, Bogumiła Hnatkowska, Marek Krótkiewicz. 317–329. (Đã xuất bản)
  62. 62.  Nguyen Dinh Thanh, Nguyễn Thanh Hải, Phạm Thị Ngọc Diễm. 2022. ANALYZING THE FACTORS AFFECTING THE HIGH SCHOOL DROPOUT IN CA MAU. Can Tho University Journal of Science. 14. 11-22. (Đã xuất bản)
  63. 63.  Nguyễn Thanh Hải, Ngan Kim Thi Nguyen, Chi Le Hoang Tran, . 2022. EFFECTS EVALUATION OF DATA AUGMENTATION TECHNIQUES ON COMMON SEAFOOD TYPES CLASSIFICATION TASKS. Studies in Computational Intelligence. Nguyen Hoang Phuong, Vladik Kreinovich. 213–223. (Đã xuất bản)
  64. 64.  Linh Thuy Thi Pham, Nguyễn Thanh Hải, Tan Phuc Nhan Bui, Ngoc Cam Thi Tran, Khoi Tuan Huynh Nguyen, Huong Hoang Luong . 2022. REMOTE MEDICAL ASSISTANCE VEHICLE IN COVID-19 QUARANTINE AREAS: A CASE STUDY IN VIETNAM. Lecture Notes in Networks and Systems. Leonard Barolli. 59–70. (Đã xuất bản)
  65. 65.  Huong Hoang Luong, Phong Cao Nguyen , Nguyễn Thanh Hải. 2022. DISEASE DIAGNOSIS BASED ON SYMPTOMS DESCRIPTION. Studies in Computational Intelligence. Nguyen Hoang Phuong, Vladik Kreinovich. 179–190. (Đã xuất bản)
  66. 66.  Luong Hoang Huong, Nguyễn Thanh Hải, Tong Duc Nguyen, Thuan Minh Dang, Tin Tri Duong, Nghia Trong Le Phan. 2021. DIMENSIONALITY REDUCTION ON METAGENOMIC DATA WITH RECURSIVE FEATURE ELIMINATION. Lecture Notes in Networks and Systems. Leonard Barolli, Kangbin Yim, Tomoya Enokido. 68–79. (Đã xuất bản)
  67. 67.  Huỳnh Xuân Hiệp, Lai Út Bé, Duong Trung Nghia, Nguyễn Thanh Hải, Phan Thượng Cang. 2021. MODELING POPULATION DYNAMICS FOR INFORMATION DISSEMINATION THROUGH FACEBOOK. CONCURRENCY AND COMPUTATION - PRACTICE & EXPERIENCE. 2021. 1-12. (Đã xuất bản)
  68. 68.  Tran Bao Toan, Phan Kim Yen Nhi, Nguyễn Thanh Hải. 2021. FEATURE SELECTION BASED ON A SHALLOW CONVOLUTIONAL NEURAL NETWORK AND SALIENCY MAPS ON METAGENOMIC DATA. Lecture Notes in Electrical Engineering. 739. 107-116. (Đã xuất bản)
  69. 69.  Huỳnh Xuân Hiệp, Huỳnh Bá Mẫn, Nguyễn Thanh Hải. 2021. A SIMULATION COMBINATION APPROACH BETWEEN GAMA AND DIGIPLANT FOR RICE PLANT GROWTH VISUALIZATION UNDER BROWN PLANTHOPPER INFESTATION. IEIE Transactions on Smart Processing and Computing. 10. 315-322. (Đã xuất bản)
  70. 70.  Trương Quốc Định, Nguyễn Văn Nam, Trần Thị Thủy, Nguyễn Thanh Hải. 2021. TELECOMMUNICATIONS SERVICES REVENUE FORECAST USING NEURAL NETWORKS. Studies in Computational Intelligence. In: Nguyen Hoang Phuong, Vladik Kreinovich. 299-312. (Đã xuất bản)
  71. 71.  Huỳnh Xuân Hiệp, Phan Anh Cang, Trương Thị Thanh Loan, Nguyễn Thanh Hải. 2021. REGION OF INTEREST SELECTION ON PLANT DISEASE. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 409. 1-14. (Đã xuất bản)
  72. 72.  Phan Kim Yen Nhi, Tran Bao Toan, Nguyễn Hữu Hòa, Nguyễn Thanh Hải. 2021. ENTROPY-BASED DISCRETIZATION APPROACH ON METAGENOMIC DATA FOR DISEASE PREDICTION. Communications in Computer and Information Science. Tran Khanh Dang, Josef Küng, Tai M. Chung, Makoto Takizawa. 375–386. (Đã xuất bản)
  73. 73.  Nguyễn Thanh Hải, HUYNH NGUYEN TAN KHOI, Luong Huong Hoang, Tran Bao Toan. 2021. DECODERS CONFIGURATIONS BASED ON UNET FAMILY AND FEATURE PYRAMID NETWORK FOR COVID-19 SEGMENTATION ON CT IMAGES. PeerJ Computer Science. 7. (Đã xuất bản)
  74. 74.  Khoa Dang Dang Le, Luong Hoang Huong, Nguyễn Thanh Hải. 2021. PATIENT CLASSIFICATION BASED ON SYMPTOMS USING MACHINE LEARNING ALGORITHMS SUPPORTING HOSPITAL ADMISSION. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Phan Cong Vinh, Nguyen Huu Nhan. 1-11. (Đã xuất bản)
  75. 75.  Nguyễn Thanh Hải, Tran Bao Toan, Phan Kim Yen Nhi, Trần Thanh Điện, Nguyễn Thái Nghe. 2021. FEATURE SELECTION BASED ON SHAPLEY ADDITIVE EXPLANATIONS ON METAGENOMIC DATA FOR COLORECTAL CANCER DIAGNOSIS. Studies in Computational Intelligence. 981. 69-80. (Đã xuất bản)
  76. 76.  Nguyễn Thanh Hải, Nguyễn Thị Ngọc Châm, Phan Nguyen Minh Thao, Dao Cong Tinh. 2021. PLEURAL EFFUSION DIAGNOSIS USING LOCAL INTERPRETABLE MODEL-AGNOSTIC EXPLANATIONS AND CONVOLUTIONAL NEURAL NETWORK. IEIE Transactions on Smart Processing & Computing. 10. 101-108. (Đã xuất bản)
  77. 77.  Dao Cong Tinh, Nguyễn Thanh Hải. 2021. HUMAN MOBILITY PREDICTION USING K-LATEST CHECK-INS. Communications in Computer and Information Science. Tran Khanh Dang, Josef Küng, Tai M. Chung, Makoto Takizawa. 36–49. (Đã xuất bản)
  78. 78.  Phan Nguyen Minh Thao, Nguyễn Thanh Hải. 2021. CLINICAL DECISION SUPPORT SYSTEMS FOR PNEUMONIA DIAGNOSIS USING GRADIENT-WEIGHTED CLASS ACTIVATION MAPPING AND CONVOLUTIONAL NEURAL NETWORKS. Studies in Computational Intelligence. 981. 81-92. (Đã xuất bản)
  79. 79.  Trần Quang Phúc, Nguyễn Thanh Hải, Lê Thị Mỹ Hạnh, Huỳnh Xuân Hiệp. 2021. ENSEMBLE LEARNING FOR MINING OPINIONS ON FOOD REVIEWS. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 409. 1-15. (Đã xuất bản)
  80. 80.  Nguyễn Thanh Hải, Bùi Đăng Hà Phương, Tran Bao Toan. 2021. AN EFFECTIVE WAY FOR TAIWANESE STOCK PRICE PREDICTION: BOOSTING THE PERFORMANCE WITH MACHINE LEARNING TECHNIQUES. Concurrency Computation Practice and Experience. e6437. (Đã xuất bản)
  81. 81.  Luong Hoang Huong, Thanh Huyen Nguyen Thi, An Duc Le, Nguyễn Thanh Hải. 2021. FEATURE SELECTION WITH RANDOM FORESTS PREDICTING METAGENOME-BASED DISEASE. Communications in Computer and Information Science. Arun Solanki, Sanjay Kumar Sharma,Sandhya Tarar,Pradeep Tomar,Sandeep Sharma, Anand Nayyar. 254-266. (Đã xuất bản)
  82. 82.  Lương Thị Thu Hương, Luong Hoang Huong, Nguyễn Thanh Hải, Nguyễn Thái Nghe. 2021. HOSPITAL REVENUE FORECAST USING MULTIVARIATE AND UNIVARIATE LONG SHORT-TERM MEMORIES. Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications p. In: T. K. Dang et al. (Eds.). 50-65. (Đã xuất bản)
  83. 83.  Huỳnh Xuân Hiệp, Phan Anh Cang, Tran Thi Cam Tu, Nguyễn Thanh Hải. 2021. RECOMMENDATION WITH SUBJECTIVE TENDENCY BASED ON STATISTICAL IMPLICATIVE ANALYSIS. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 409. 1-17. (Đã xuất bản)
  84. 84.  Trương Quốc Định, Bùi Thị Diễm Trinh, Nguyễn Thanh Hải. 2021. PRODUCT RECOMMENDATION SYSTEM USING OPINION MINING ON VIETNAMESE REVIEWS. Soft Computing: Biomedical and Related Applications. In: Nguyen Hoang PhuongVladik Kreinovich. 313*325. (Đã xuất bản)
  85. 85.  Huỳnh Xuân Hiệp, Phan Lâm Mỹ Ngà, Luong Hoang Huong, , Nguyễn Thanh Hải, Bernard Pottier. 2021. BROWN PLANTHOPPER SENSOR NETWORK OPTIMIZATION BASED ON CLIMATE AND GEOGRAPHICAL FACTORS USING CELLULAR AUTOMATA TECHNIQUE. Mobile Networks and Applications. 2021. 1-18. (Đã xuất bản)
  86. 86.  Nguyễn Thanh Hải, Phan Tấn Tài, Dao Cong Tinh, Phan Nguyen Minh Thao, Tạ Đặng Vĩnh Phúc, Nguyễn Thị Ngọc Châm, Pham Huynh Ngoc, Huỳnh Xuân Hiệp. 2021. GENE FAMILY ABUNDANCE VISUALIZATION BASED ON FEATURE SELECTION COMBINED DEEP LEARNING TO IMPROVE DISEASE DIAGNOSIS. Journal of Engineering and Technological Sciences. 53. (Đã xuất bản)
  87. 87.  Huỳnh Xuân Hiệp, Phan Anh Cang, Trương Thị Thanh Loan, Nguyễn Thanh Hải. 2021. IMAGE SEGMENTATION AND TRANSFER LEARNING APPROACH FOR SKIN CLASSIFICATION. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 409. 1-13. (Đã xuất bản)
  88. 88.  Trần Thanh Điện, Pham Huu Phuoc, Nguyễn Thanh Hải, Nguyễn Thái Nghe. 2021. PERSONALIZED STUDENT PERFORMANCE PREDICTION USING MULTIVARIATE LONG SHORT-TERM MEMORY. Communications in Computer and Information Science. 8. 238-247. (Đã xuất bản)
  89. 89.  Trần Thanh Điện, Lê Duy Anh, Nguyễn Hồng Phát, Nguyễn Văn Tuấn, Trịnh Thanh Chánh, Lê Minh Bằng, Nguyễn Thanh Hải, Nguyễn Thái Nghe. 2021. FOUR GRADE LEVELS-BASED MODELS WITH RANDOM FOREST FOR STUDENT PERFORMANCE PREDICTION AT A MULTIDISCIPLINARY UNIVERSITY. Lecture Notes in Networks and Systems. 15. 1-12. (Đã xuất bản)
  90. 90.  Luong Hoang Huong, Nguyễn Thanh Hải, Anh Tuan Dao, Tuan Khoi Nguyen Huynh. 2021. AN APPROACH FOR PROJECT MANAGEMENT SYSTEM BASED ON BLOCKCHAIN. Communications in Computer and Information Science. Tran Khanh Dang, Josef Küng, Tai M. Chung, Makoto Takizawa. 310–326. (Đã xuất bản)
  91. 91.  Nguyễn Đình Thành, Phạm Thị Ngọc Diễm, Nguyễn Thanh Hải. 2021. FORECASTING AND ANALYZING THE RISK OF DROPPING OUT OF HIGH SCHOOL STUDENTS IN CA MAU PROVINCE. Communications in Computer and Information Science. Tran Khanh Dang, Josef Küng, Tai M. Chung, Makoto Takizawa (Eds.). 224-237. (Đã xuất bản)
  92. 92.  Phong Cao Nguyen, Van The Ho, Dong Hai Duong, Thinh Truong Nguyen, Luan Anh Luong, Huong Hoang Luong, Nguyễn Thanh Hải. 2021. AN INTRUSION DETECTION APPROACH FOR SMALL-SIZED NETWORKS. Lecture Notes in Networks and Systems. S. Smys, Valentina Emilia Balas, Ram Palanisamy. 1-15. (Đã xuất bản)
  93. 93.  Nguyễn Thanh Hải, Trương Quốc Định, Luong Hoang Huong, Lê Phước Trung, Tran Bao Toan, Trần Công Nghị. 2020. K-MEANS CLUSTERING FOR FEATURES ARRANGEMENT IN METAGENOMIC DATA VISUALIZATION. Communications in Computer and Information Science book series. Marcin Hernes, Krystian Wojtkiewicz, Edward Szczerbicki. 74-86. (Đã xuất bản)
  94. 94.  Huỳnh Xuân Hiệp, Nguyễn Thanh Hải, Đặng Hải Sơn, Phan Anh Cang. 2020. A CONVOLUTIONAL NEURAL NETWORK ON X-RAY IMAGES FOR PNEUMONIA DIAGNOSIS. Context-Aware Systems and Applications, and Nature of Computation and Communication. LNICST 343. 203-215. (Đã xuất bản)
  95. 95.  Trần Thanh Điện, Nguyễn Thái Nghe, Lưu Hoài Sang, Nguyễn Thanh Hải. 2020. DEEP LEARNING WITH DATA TRANSFORMATION AND FACTOR ANALYSIS FOR STUDENT PERFORMANCE PREDICTION. International Journal of Advanced Computer Science and Applications. 11. 711-721. (Đã xuất bản)
  96. 96.  Nguyễn Thái Nghe, Nguyễn Chí Ngôn, Nguyễn Thanh Hải. 2020. DEEP LEARNING APPROACH FOR FORECASTING WATER QUALITY IN IOT SYSTEMS. International Journal of Advanced Computer Science and Applications(IJACSA). 11. 686-693. (Đã xuất bản)
  97. 97.  Huỳnh Xuân Hiệp, Nguyễn Thanh Hải, Trương Thị Thanh Loan, Phan Anh Cang. 2020. AN APPROACH FOR SKIN LESIONS CLASSIFICATION WITH A SHALLOW CONVOLUTIONAL NEURAL NETWORK. Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung. 265-280. (Đã xuất bản)
  98. 98.  Nguyễn Thanh Hải, Nguyễn Thái Nghe, Trần Công Án, Tran Bao Toan. 2020. FEATURE SELECTION USING LOCAL INTERPRETABLE MODEL-AGNOSTIC EXPLANATIONS ON METAGENOMIC DATA. Communications in Computer and Information Science. Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung. 340-357. (Đã xuất bản)
  99. 99.  Nguyễn Thanh Hải, Phan Tấn Tài, Pham Huynh Ngoc, Phan Nguyen Minh Thao, Dao Cong Tinh, Nguyễn Thị Ngọc Châm. 2020. AUTOMATIC ATTENDANCE SYSTEM BASED ON FACE RECOGNITION USING HOG FEATURES AND COSINE DISTANCE. Communications in Computer and Information Science. Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung. 130-148. (Đã xuất bản)
  100. 100.  Nguyễn Thanh Hải, Luong Hoang Huong, Lê Phước Trung, Tran Bao Toan, Trần Công Nghị. 2020. VIRAL AND BACTERIAL PNEUMONIA DIAGNOSIS VIA DEEP LEARNING TECHNIQUES AND MODEL EXPLAINABILITY. International Journal of Advanced Computer Science and Applications,. 11. 667-675. (Đã xuất bản)
  101. 101.  Nguyễn Thanh Hải, Luong Hoang Huong, Phan Kim Yen Nhi, Lê Phước Trung, Trần Công Nghị. 2020. EFFICIENT DISCRETIZATION APPROACHES FOR MACHINE LEARNING TECHNIQUES TO IMPROVE DISEASE CLASSIFICATION ON GUT MICROBIOME COMPOSITION DATA. Advances in Science, Technology and Engineering Systems Journal. 5. 547-556. (Đã xuất bản)
  102. 102.  Nguyễn Thanh Hải, Nguyễn Thái Nghe. 2020. DIAGNOSIS APPROACHES FOR COLORECTAL CANCER USING MANIFOLD LEARNING AND DEEP LEARNING. Springer Nature Computer Science. 1. (Đã xuất bản)
  103. 103.  Nguyễn Thanh Hải, Bùi Minh Quân, Luong Hoang Huong, Lê Phước Trung, Tran Bao Toan, Trần Công Nghị. 2020. ENHANCING DISEASE PREDICTION ON IMBALANCED METAGENOMIC DATASET BY COST-SENSITIVE. International Journal of Advanced Computer Science and Applications. 11. 651-657. (Đã xuất bản)
  104. 104.  Nguyễn Thanh Hải, Trương Quốc Định, Nguyễn Ngọc Mỹ, Phung Duong Linh, Banh Ngoc Thuy Thao, Nguyen Anh Bang, Nguyễn Chí Linh. 2020. GROWING SELF-ORGANIZING MAPS FOR METAGENOMIC VISUALIZATIONS SUPPORTING DISEASE CLASSIFICATION. Lecture Notes in Computer Science. Tran Khanh DangJosef KüngMakoto TakizawaTai M. Chung. 151-166. (Đã xuất bản)
  105. 105.  Phan Kim Yen Nhi, Nguyễn Thanh Hải. 2020. INFLAMMATORY BOWEL DISEASE CLASSIFICATION IMPROVEMENT WITH METAGENOMIC DATA BINNING USING MEAN-SHIFT CLUSTERING. Communications in Computer and Information Science book series. Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung. 294-308. (Đã xuất bản)
  106. 106.  Huỳnh Xuân Hiệp, Nguyễn Thanh Hải, Huỳnh Bá Mẫn , Trần Thị Hòa. 2020. A DATA CONVERSION APPROACH BETWEEN GAMA AND DIGIPLANT SIMULATING RICE PLANT GROWTH UNDER BROWN PLANTHOPPER INFESTATION. Computational Data and Social Networks (LNCS 12575). S. Chellappan et al. (Eds.). 1-13. (Đã xuất bản)
  107. 107.  Huỳnh Xuân Hiệp, Nguyễn Thanh Hải, Phạm Ngọc Quyền, Tran Bao Toan. 2020. GENOME-WIDE ASSOCIATION ANALYSIS FOR OAT GENETICS USING SUPPORT VECTOR MACHINES. Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications. Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung. 452-460. (Đã xuất bản)
  108. 108.  Huỳnh Xuân Hiệp, Nguyễn Thanh Hải, Nguyễn Thị Bích Hằng, Phan Anh Cang. 2020. ABNORMALITY BONE DETECTION IN X-RAY IMAGES USING CONVOLUTIONAL NEURAL NETWORK. Context-Aware Systems and Applications, and Nature of Computation and Communication. 343. 31-43. (Đã xuất bản)
  109. 109.  Trần Quang Phúc, Huỳnh Xuân Hiệp, Nguyễn Thanh Hải, Triệu Thanh Ngoan, Đào Vũ Nguyên. 2020. EFFECTIVE OPINION WORDS EXTRACTION FOR FOOD REVIEWS CLASSIFICATION. International Journal of Advanced Computer Science and Applications. 11. 421-426. (Đã xuất bản)
  110. 110.  Nguyễn Thái Nghe, Nguyễn Thanh Hải. 2020. FORECASTING SENSOR DATA USING MULTIVARIATE TIME SERIES DEEP LEARNING. Communications in Computer and Information Science. Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung. 215-229. (Đã xuất bản)
  111. Nguyễn Thanh Hải, Phan Tấn Tài, Tạ Đặng Vĩnh Phúc, Pham Huynh Ngoc, Phan Nguyen Minh Thao, Dao Cong Tinh, Nguyễn Thị Ngọc Châm. 2020. EFFECTIVE DISEASE PREDICTION ON GENE FAMILY ABUNDANCE USING FEATURE SELECTION AND BINNING APPROACH. IT Convergence and Security, Lecture Notes in Electrical Engineering. 712. 19-28. (Đã xuất bản)
  112. Bùi Đăng Hà Phương, Nguyễn Thanh Hải, Tran Bao Toan. 2020. TAIWANESE STOCK MARKET FORECASTING WITH A SHALLOW LONG SHORT-TERM MEMORY ARCHITECTURE. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series. Phan Cong VinhAbdur Rakib. 192-202. (Đã xuất bản)
  113. Trần Thanh Điện, Nguyễn Thái Nghe, Nguyễn Thanh Hải. 2020. DEEP LEARNING APPROACH FOR AUTOMATIC TOPIC CLASSIFICATION IN AN ONLINE SUBMISSION SYSTEM. Advances in Science, Technology and Engineering Systems Journal. 5. 700-709. (Đã xuất bản)
  114. Nguyễn Thanh Hải, Luong Hoang Huong, Lê Phước Trung, Tran Bao Toan, Trần Công Nghị. 2020. IMPROVING DISEASE PREDICTION USING SHALLOW CONVOLUTIONAL NEURAL NETWORKS ON METAGENOMIC DATA VISUALIZATIONS BASED ON MEAN-SHIFT CLUSTERING ALGORITHM. International Journal of Advanced Computer Science and Applications,. 11. 52-60. (Đã xuất bản)
  115. Trần Thanh Điện, Nguyễn Thái Nghe, Lưu Hoài Sang, Nguyễn Thanh Hải. 2020. COURSE RECOMMENDATION WITH DEEP LEARNING APPROACH. Communications in Computer and Information Science book series. Tran Khanh Dang, Josef Küng, Makoto Takizawa, Tai M. Chung. 63-77. (Đã xuất bản)
  116. Nguyễn Thanh Hải, Huỳnh Xuân Hiệp, Huynh Thanh Hoang, Tran Bao Toan. 2020. EXPLANATION OF THE CONVOLUTIONAL NEURAL NETWORK CLASSIFYING CHEST X-RAY IMAGES SUPPORTING PNEUMONIA DIAGNOSIS. EAI Endorsed Transactions on Context-aware Systems and Applications. 7. (Đã xuất bản)
  117. Nguyễn Văn Kha, Lê Văn Lâm, Nguyễn Thanh Hải, Lê Quyết Thắng, Trương Minh Nhật Quang. 2019. A NOVEL APPROACH FOR DATA COLLECTION AND NETWORK ATTACK WARNING. The 11th International Conference on Knowledge and Systems Engineering (KSE 2019) --- October 24-26, 2019 | Da Nang, Vietnam. . 19-24. (Đã xuất bản)
  118. Nguyễn Thanh Hải, Edi Prifti, Jean-Daniel Zucker, Nataliya Sokolovska. 2019. DISEASE PREDICTION USING SYNTHETIC IMAGE REPRESENTATIONS OF METAGENOMIC DATA AND CONVOLUTIONAL NEURAL NETWORKS. RIVF (Research, Innovation and Vision for the Future), Đà Nẵng, 20-22/03/2019. . 231-236. (Đã xuất bản)
  119. Nguyễn Ngọc Mỹ, Nguyễn Thanh Hải, John Kar-Kin Zao. 2019. HUMAN GAIT PATTERNS CLASSIFICATION BASED ON MEMS DATA USING UNSUPERVISED AND SUPERVISED LEARNING ALGORITHMS. The 11th International Conference on Knowledge and Systems Engineering (KSE 2019) --- October 24-26, 2019 | Da Nang, Vietnam. . 405-409. (Đã xuất bản)
  120. Nguyễn Thanh Hải, Nguyễn Thái Nghe. 2019. DISEASE PREDICTION USING METAGENOMIC DATA VISUALIZATIONS BASED ON MANIFOLD LEARNING AND CONVOLUTIONAL NEURAL NETWORK. Lecture Notes in Computer Science (LNCS). 11814. 117-131. (Đã xuất bản)
  121. Nguyễn Thanh Hải, Jean-Daniel Zucker. 2019. ENHANCING METAGENOME-BASED DISEASE PREDICTION BY UNSUPERVISED BINNING APPROACHES. The 11th International Conference on Knowledge and Systems Engineering (KSE 2019) --- October 24-26, 2019 | Da Nang, Vietnam. . 381-385. (Đã xuất bản)
  122. Nguyễn Thanh Hải. 2019. METAGENOME-BASED DISEASE CLASSIFICATION WITH DEEP LEARNING AND VISUALIZATIONS BASED ON SELF-ORGANIZING MAPS. Lecture Notes in Computer Science book series (LNCS). 11814. 307-319. (Đã xuất bản)
  123. Nguyễn Thanh Hải, Edi Prifti, Yann Chevaleyre, Jean-Daniel Zucker, Nataliya Sokolovska. 2017. DEEP LEARNING FOR METAGENOMIC DATA: USING 2D EMBEDDINGS AND CONVOLUTIONAL NEURAL NETWORKS. NIPS 2017 Workshop on Machine Learning for Health, in Long Beach, CA, USA 08/12/2017. . (Đã xuất bản)
  124. Nataliya Sokolovska, Nguyễn Thanh Hải, Jean-Daniel Zucker, Karine Clément. 2016. DEEP SELF-ORGANISING MAPS FOR EFFICIENT HETEROGENEOUS BIOMEDICAL SIGNATURES EXTRACTION. The 2016 International Joint Conference on Neural Networks (IJCNN 2016). . 5079-5086. (Đã xuất bản)
  125. Nguyễn Minh Khiêm, Huỳnh Xuân Hiệp, Nguyễn Thanh Hải. 2016. AUTOMATED TRANSLATION BETWEEN RESTFUL/JSON AND SPARQL MESSAGES FOR ACCESSING SEMANTIC DATA. ICEIC 2016, Hyatt Regency Resort and Spa, Danang Vietnam. 27/Jan - 30/Jan/2016. 16285228. 115-118. (Đã xuất bản)
  126. Nguyễn Thanh Hải, Nguyễn Thái Nghe, Nguyễn Hữu Hòa. 2016. A MOBILITY PREDICTION MODEL FOR LOCATION-BASED SOCIAL NETWORKS. 8th Asian Conference on Intelligent Information and Database Systems. . 106-115. (Đã xuất bản)
  127. Nguyễn Minh Khiêm, Huỳnh Xuân Hiệp, Nguyễn Thanh Hải. 2016. A NOVEL APPROACH FOR ACCESSING SEMANTIC DATA BY TRANSLATING RESTFUL/JSON COMMANDS INTO SPARQL MESSAGES. IEIE Transactions on Smart Processing and Computing. 5. 222-229. (Đã xuất bản)
  128. Nguyễn Thanh Hải. 2015. A NOVEL APPROACH FOR LOCATION PROMOTION ON LOCATION-BASED SOCIAL NETWORKS. RIVF-2015: The 11th IEEE-RIVF International Conference on Computing and Communication Technologies. 11. 53-58. (Đã xuất bản)

National Conferences, Journals, Book chapters

  1. Trần Thanh Điện, Nguyễn Thanh Hải, Nguyễn Thái Nghe. 2021. DEEP MATRIX FACTORIZATION FOR LEARNING RESOURCES RECOMMENDATION. Lecture Notes in Computer Science. 13. 167-179. (Đã xuất bản)
  2. Lưu Hoài Sang, Trần Thanh Điện, Nguyễn Thái Nghe, Nguyễn Thanh Hải. 2020. DỰ BÁO KẾT QUẢ HỌC TẬP BẰNG KỸ THUẬT HỌC SÂU VỚI MẠNG NƠ-RON ĐA TẦNG. Tạp chí Khoa học Trường Đại học Cần Thơ. Tập 56, Số 3. 20-28. (Đã xuất bản)
  3. Nguyễn Thanh Hải, Trần Thanh Điện, Nguyễn Thái Nghe, Trinh Thi Tuyet Lan, Phan Kim Yen Nhi, Tran Bao Toan. 2020. GIẢI PHÁP ĐIỂM DANH SINH VIÊN BẰNG NHẬN DẠNG GƯƠNG MẶT VỚI ĐẶC TRƯNG HAAR-LIKE KẾT HỢP THUẬT TOÁN RỪNG NGẪU NHIÊN. Conference on Information Technology and its Applications, Đà Nẵng, 27/11/2020. . 179-186. (Đã xuất bản)
  4. Trần Thanh Điện, Nguyễn Thái Nghe, Nguyễn Thanh Hải, Nguyen Ngoc Tuan. 2020. TĂNG TỐC TÌM KIẾM TÀI NGUYÊN HỌC TẬP THEO NỘI DUNG BẰNG KỸ THUẬT XỬ LÝ DỮ LIỆU LỚN. Conference on Information Technology and its Applications, Đà Nẵng, 27/11/2020. . 171-178. (Đã xuất bản)
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