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user:namhuynh:research [2019/02/09 22:53] namhuynh [Research Summary] |
user:namhuynh:research [2023/07/13 23:37] (current) namhuynh [Research Grants] |
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| * Fusion and conflict/inconsistency analysis among multiple piece of information within these theories. | * Fusion and conflict/inconsistency analysis among multiple piece of information within these theories. | ||
| * Application: recommender systems, multi-attribute/criteria decision making under uncertainty and imprecision, Kansei engineering. | * Application: recommender systems, multi-attribute/criteria decision making under uncertainty and imprecision, Kansei engineering. | ||
| - | - Data mining, data analytics, and machine learning. This research is mainly concerned with developing Machine Learning and Data Mining algorithms to discover knowledge from data. | + | - Data mining, Machine learning, Data analytics. This research is mainly concerned with developing Machine Learning and Data Mining algorithms to discover knowledge from data. |
| + | * Explainable ML | ||
| * Similarity measures and //k//-means like clustering algorithms for large categorical and mixed data. | * Similarity measures and //k//-means like clustering algorithms for large categorical and mixed data. | ||
| * Hybrid models (ARIMA, neural networks, etc.) for prediction with time series data. | * Hybrid models (ARIMA, neural networks, etc.) for prediction with time series data. | ||
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| ==== Research Grants ==== | ==== Research Grants ==== | ||
| + | * Co-PI: ONR Grant no. N62909-23-1-2058 "An Integrated Approach to Explainable Machine Learning" (06/2023 - 05/2026). | ||
| * PI: ONR Grant no. N62909-19-1-2031 “Multi-Source Learning Coupled with Reasoning Capabilities for Large-Scale Decision Support Environments” (02/2019 - 01/2022). | * PI: ONR Grant no. N62909-19-1-2031 “Multi-Source Learning Coupled with Reasoning Capabilities for Large-Scale Decision Support Environments” (02/2019 - 01/2022). | ||
| * PI: AOARD Grant no. FA2386-17-1-4046 “Integration of Clustering with Semantics Learning for Massive Categorical and Mixed Data” (08/2017 - 08/2019). | * PI: AOARD Grant no. FA2386-17-1-4046 “Integration of Clustering with Semantics Learning for Massive Categorical and Mixed Data” (08/2017 - 08/2019). | ||
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