Publications

International conferences:

IC1. Van-Sang Ha, Ha-Nam Nguyen, GyooSeok Choi., “A Novel Cancer classification based on Deep Learning and Feature Selection approach”, In the proceedings of the 2nd International Joint
Conference on Convergence, IJCC 2016, The Institute of Internet, Broadcasting and Communication, VietNam., pp. 83-85, 2015. (ISSN: 2288-6060)

IC2. Van-Sang Ha, Bao-Hien Nguyen Thi, Ngo-Thi-Thu-Trang, GyooSeok Choi., “A Novel Credit Scoring Prediction Model Based on Dynamic Recursive Feature Elimination and Parallel Random Forest”, In the proceedings of the 2nd International Joint Conference on Convergence, IJCC 2016, The Institute of Internet, Broadcasting and Communication, VietNam., pp. 91-94, 2015. (ISSN: 2288-6060)

IC3. Van-Sang Ha, Ha-Nam Nguyen, Duc-Nhan Nguyen., “A Novel Credit Scoring Prediction Model Based on Feature Selection approach and Parallel Random Forest”, In the proceedings of the 2nd International Conference on Information and Convergence Technology for Smart Society, ICICTS 2016, Society of Convergence and Integrated Research, VietNam., pp. 75-78, 2015. (ISSN: 2383-9279)

IC4. Van-Sang Ha and H.-N. Nguyen, “Credit scoring with a feature selection approach based deep learning,” MATEC Web Conf., vol. 54, p. 05004, Apr. 2016. (ISSN:2261-236X ,Indexed in Scopus)

IC5. Van-Sang Ha and H.-N. Nguyen, “C-KPCA: Custom Kernel PCA for Cancer Classification,” in Machine Learning and Data Mining in Pattern Recognition: 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings, P. Perner, Ed. Cham: Springer International Publishing, 2016, pp. 459–467. (Springer)

IC6. Van-Sang Ha and H.-N. Nguyen, “FRFE: Fast Recursive Feature Elimination for Credit Scoring,” in Nature of Computation and Communication: Second International Conference, ICTCC 2016, Rach Gia, Vietnam, March 17-18, 2016, Revised Selected Papers, P. C. Vinh and L. Barolli, Eds. Cham: Springer International Publishing, 2016, pp. 133–142. (Springer)

National conferences:

NC1. Hà Văn Sang, Nguyễn Hà Nam., “AN EFFECTIVE CREDIT SCORING MODEL BASED ON FEATURE SELECTION APPROACHES“, In the Proceedings of the 8th National Conference on Fundamental and Applied Information Technology Research, FAIR’8, VietNam., pp. 27-31, 2015 (ISBN: 978-604-913-397-8)

NC2. Hà Văn Sang et al., “Một phương pháp trích trọn thuộc tính hiệu quả cho dữ liệu có số chiều lớn”, In the Proceedings of The 2015 National Conference on Electronics, Communications and Information Technology, ECIT 2015, VietNam., pp. 82-86, 2015 (ISBN: 978-604-67-0635-9)

International Journals

IJ1    V. Ha and H. Nguyen, “Credit scoring with a feature selection approach based deep learning,” in MATEC Web of Conferences, 2016, vol. 54, p. 05004.

IJ2 Ha Van Sang, Nguyen Ha Nam and Nguyen Duc Nhan, “A Novel Credit Scoring Prediction Model based on Feature Selection Approach and Parallel Random Forest” Indian Journal of Science and Technology (INDJST).Indexed: ISI (Thomson Reuters)  Master list,(ISSN 0974-5645), Vol 9(S20), May 2016.

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