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AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning

Sensors (Basel, Switzerland), 2019-03, Vol.19 (6), p.1345

2019

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A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images

IEEE access, 2020, Vol.8, p.213718-213728

2020

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Operon-based approach for the inference of rRNA and tRNA evolutionary histories in bacteria

BMC genomics, 2020-04, Vol.21 (Suppl 2), p.252-14, Article 252

2020

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The effect of disease co-occurrence measurement on multimorbidity networks: a population-based study

BMC medical research methodology, 2022-06, Vol.22 (1), p.165-165, Article 165

2022

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Big Data Analysis and Visualization: Challenges and Solutions

Applied sciences, 2022-08, Vol.12 (16), p.8248

2022

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Mobile Web Navigation in Digital Ecosystems Using Rooted Directed Trees

IEEE transactions on industrial electronics (1982), 2011-06, Vol.58 (6), p.2154-2162

2011

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Adaptive multiple imputations of missing values using the class center

Journal of big data, 2022-04, Vol.9 (1), p.1-25, Article 52

2022

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scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data

Machine learning: science and technology, 2023-09, Vol.4 (3), p.35013

2023

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Computational frameworks integrating deep learning and statistical models in mining multimodal omics data

Journal of biomedical informatics, 2024-04, Vol.152, p.104629-104629, Article 104629

2024

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A new framework for mining weighted periodic patterns in time series databases

Expert systems with applications, 2017-08, Vol.79, p.207-224

2017

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iNGNN-DTI: prediction of drug–target interaction with interpretable nested graph neural network and pretrained molecule models

Bioinformatics (Oxford, England), 2024-03, Vol.40 (3)

2024

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Biomedical Informatics: State of the Art, Challenges, and Opportunities

BioMedInformatics, 2024-03, Vol.4 (1), p.89-97

Leung, Carson K.

2024

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New approaches for mining regular high utility sequential patterns

Applied intelligence (Dordrecht, Netherlands), 2022-03, Vol.52 (4), p.3781-3806

2022

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An Innovative Big Data Predictive Analytics Framework over Hybrid Big Data Sources with an Application for Disease Analytics

Advanced Information Networking and Applications, 2020, Vol.1151, p.669-680

2020

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A Data Analytic Algorithm for Managing, Querying, and Processing Uncertain Big Data in Cloud Environments

Algorithms, 2015-12, Vol.8 (4), p.1175-1194

2015

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Predictive analytics on open big data for supporting smart transportation services

Procedia computer science, 2020, Vol.176, p.3009-3018

2020

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Urban Analytics of Big Transportation Data for Supporting Smart Cities

Big Data Analytics and Knowledge Discovery, 2019, Vol.11708, p.24-33

2019

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UGMINE: utility-based graph mining

Applied intelligence (Dordrecht, Netherlands), 2023, Vol.53 (1), p.49-68

2023

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Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds

Procedia computer science, 2017, Vol.112, p.2259-2268

2017

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A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments

2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019, p.1-6

2019

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Sports Data Mining: Predicting Results for the College Football Games

Procedia computer science, 2014, Vol.35, p.710-719

2014

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Scalable Vertical Mining for Big Data Analytics of Frequent Itemsets

Database and Expert Systems Applications, 2018, Vol.11029, p.3-17

2018

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A Remotely Central Dimming System for a Large-Scale LED Lighting Network Providing High Quality Voltage and Current

IEEE transactions on industry applications, 2019-09, Vol.55 (5), p.5455-5465

2019

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A Flexible Query Answering System for Movie Analytics

Flexible Query Answering Systems, 2019, p.250-261

2019

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A scoping review of preprocessing methods for unstructured text data to assess data quality

International journal of population data science, 2022-01, Vol.7 (1), p.1757-1757

2022

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AI-Based Sensor Information Fusion for Supporting Deep Supervised Learning

A Two-Dimensional Sparse Matrix Profile DenseNet for COVID-19 Diagnosis Using Chest CT Images

Operon-based approach for the inference of rRNA and tRNA evolutionary histories in bacteria

The effect of disease co-occurrence measurement on multimorbidity networks: a population-based study

Big Data Analysis and Visualization: Challenges and Solutions

Mobile Web Navigation in Digital Ecosystems Using Rooted Directed Trees

Adaptive multiple imputations of missing values using the class center

scGMM-VGAE: a Gaussian mixture model-based variational graph autoencoder algorithm for clustering single-cell RNA-seq data

Computational frameworks integrating deep learning and statistical models in mining multimodal omics data

A new framework for mining weighted periodic patterns in time series databases

iNGNN-DTI: prediction of drug–target interaction with interpretable nested graph neural network and pretrained molecule models

Biomedical Informatics: State of the Art, Challenges, and Opportunities

New approaches for mining regular high utility sequential patterns

An Innovative Big Data Predictive Analytics Framework over Hybrid Big Data Sources with an Application for Disease Analytics

A Data Analytic Algorithm for Managing, Querying, and Processing Uncertain Big Data in Cloud Environments

Predictive analytics on open big data for supporting smart transportation services

Urban Analytics of Big Transportation Data for Supporting Smart Cities

UGMINE: utility-based graph mining

Game Data Mining: Clustering and Visualization of Online Game Data in Cyber-Physical Worlds

A Fuzzy Logic Based Machine Learning Tool for Supporting Big Data Business Analytics in Complex Artificial Intelligence Environments

Sports Data Mining: Predicting Results for the College Football Games

Scalable Vertical Mining for Big Data Analytics of Frequent Itemsets

A Remotely Central Dimming System for a Large-Scale LED Lighting Network Providing High Quality Voltage and Current

A Flexible Query Answering System for Movie Analytics

A scoping review of preprocessing methods for unstructured text data to assess data quality

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