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05/10/2023
Correlation visualization under missing values: a comparison between imputation and direct parameter estimation methods
Correlation matrix visualization is essential for understanding the rela...
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05/10/2023
Blockwise Principal Component Analysis for monotone missing data imputation and dimensionality reduction
Monotone missing data is a common problem in data analysis. However, imp...
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02/02/2023
Conditional expectation for missing data imputation
Missing data is common in datasets retrieved in various areas, such as m...
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12/06/2022
Towards Better User Requirements: How to Involve Human Participants in XAI Research
Human-Center eXplainable AI (HCXAI) literature identifies the need to ad...
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10/11/2022
Combining datasets to increase the number of samples and improve model fitting
For many use cases, combining information from different datasets can be...
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05/30/2022
Principle Components Analysis based frameworks for efficient missing data imputation algorithms
Missing data is a commonly occurring problem in practice, and imputation...
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05/26/2022
Unequal Covariance Awareness for Fisher Discriminant Analysis and Its Variants in Classification
Fisher Discriminant Analysis (FDA) is one of the essential tools for fea...
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03/03/2022
Parallel feature selection based on the trace ratio criterion
The growth of data today poses a challenge in management and inference. ...
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02/18/2022
FinNet: Solving Time-Independent Differential Equations with Finite Difference Neural Network
In recent years, deep learning approaches for partial differential equat...
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08/26/2021
StressNAS: Affect State and Stress Detection Using Neural Architecture Search
Smartwatches have rapidly evolved towards capabilities to accurately cap...
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06/06/2021
DPER: Efficient Parameter Estimation for Randomly Missing Data
The missing data problem has been broadly studied in the last few decade...
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04/22/2021
COVID-19 and Big Data: Multi-faceted Analysis for Spatio-temporal Understanding of the Pandemic with Social Media Conversations
COVID-19 has been devastating the world since the end of 2019 and has co...
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04/16/2021
Learning To Count Everything
Existing works on visual counting primarily focus on one specific catego...
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11/17/2020
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game
Personality image captioning (PIC) aims to describe an image with a natu...
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10/17/2019