Hoang Phuong Nguyen

Orcid: 0000-0002-0541-2608

According to our database1, Hoang Phuong Nguyen authored at least 13 papers between 2016 and 2023.

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Bibliography

2023
A Fast and Simple Modification of Newton's Method Avoiding Saddle Points.
J. Optim. Theory Appl., November, 2023

2020
Building a Fuzzy System for Pulse Based Disease Diagnosis and Acupuncture Therapy.
J. Adv. Comput. Intell. Intell. Informatics, 2020

Towards Making Fuzzy Techniques More Adequate for Combining Knowledge of Several Experts.
J. Adv. Comput. Intell. Intell. Informatics, 2020

A New (Simplified) Derivation of Nash's Bargaining Solution.
J. Adv. Comput. Intell. Intell. Informatics, 2020

Modeling a Fuzzy System for Diagnosis of Syndromes with Integrated Eastern and Western Medicine Using the Importance of Symptoms.
J. Adv. Comput. Intell. Intell. Informatics, 2020

Theoretical Explanation of Recent Empirically Successful Code Quality Metrics.
J. Adv. Comput. Intell. Intell. Informatics, 2020

How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: A Neural Approach.
J. Adv. Comput. Intell. Intell. Informatics, 2020

How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness.
J. Adv. Comput. Intell. Intell. Informatics, 2020

A modification of quasi-Newton's methods helping to avoid saddle points.
CoRR, 2020

2019
Algorithmic Need for Subcopulas.
Proceedings of the Structural Changes and their Econometric Modeling, 2019

Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

Why Hammerstein-Type Block Models Are so Efficient: Case Study of Financial Econometrics.
Proceedings of the Beyond Traditional Probabilistic Methods in Economics, 2019

2016
FuzzRESS: A fuzzy rule-based expert system shell combining positive and negative knowledge for consultation of Vietnamese traditional medicine.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016


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