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Chapter and Conference Paper
An Effective Implementation of a Direct Spanning Tree Representation in GAs
This paper presents an effective implementation based on predecessor vectors of a genetic algorithm using a direct tree representation. The main operations associated with crossovers and mutations can be achie...
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Chapter and Conference Paper
Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing
The ability to rapidly identify at scale patients that are similar based on their electronic health records (EHRs) is fundamental for a number of clinical informatics applications, such as clinical decision su...
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Chapter and Conference Paper
Discriminative Features Generation for Mortality Prediction in ICU
Effective methods for mortality prediction for Intensive Care Unit (ICU) patients assist health professionals by producing alerts ahead of time regarding the critical changing degeneration of a patient’s healt...
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Chapter and Conference Paper
CLMB: Deep Contrastive Learning for Robust Metagenomic Binning
The reconstruction of microbial genomes from large metagenomic datasets is a critical procedure for finding uncultivated microbial populations and defining their microbial functional roles. To achieve that, we...
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Chapter and Conference Paper
GRU-Attention Interpretable Knowledge Tracking Model with Forgetting Law for Intelligent Education System
The advent of intelligent education systems and widespread distance learning have revolutionized the educational landscape. Extracting meaningful insights from this wealth of information is crucial for improvi...
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Chapter and Conference Paper
Quantifying Occupant Behavior Uncertainty in Spatio-Temporal Visual Comfort Assessment of National Fitness Halls: A Machine Learning-Based Co-simulation Framework
Occupant behavior has been recognized as the main factor influencing visual comfort gaps between simulated and actual conditions. However, existing daylight and glare simulation methods mostly fail to deal wit...