Manar D. Samad

CoRR, 2024

2023

Deep imputation of missing values in time series health data: A review with benchmarking.

[BibT_eX]

[DOI]

Maksims Kazijevs

J. Biomed. Informatics, August, 2023

Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks.

[BibT_eX]

[DOI]

Shourav B. Rabbani

CoRR, 2023

G-CEALS: Gaussian Cluster Embedding in Autoencoder Latent Space for Tabular Data Representation.

[BibT_eX]

[DOI]

Mohammad Bataineh

CoRR, 2023

Deep Image Segmentation for Defect Detection in Photo-lithography Fabrication.

[BibT_eX]

[DOI]

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data.

[BibT_eX]

[DOI]

Ali Sekmen

Proceedings of the 15th International Conference on Advanced Computational Intelligence, 2023

2022

GGNB: Graph-based Gaussian naive Bayes intrusion detection system for CAN bus.

[BibT_eX]

[DOI]

Riadul Islam

Maloy Kumar Devnath

Syed Md Jaffrey Al Kadry

Veh. Commun., 2022

Perturbation of deep autoencoder weights for model compression and classification of tabular data.

[BibT_eX]

[DOI]

Neural Networks, 2022

Missing value estimation using clustering and deep learning within multiple imputation framework.

[BibT_eX]

[DOI]

Norou Diawara

Knowl. Based Syst., 2022

Are Deep Image Embedding Clustering Methods Effective for Heterogeneous Tabular Data?

[BibT_eX]

[DOI]

CoRR, 2022

Deep Adaptation of Adult-Child Facial Expressions by Fusing Landmark Features.

[BibT_eX]

[DOI]

CoRR, 2022

Mining Social Media Data to Predict COVID-19 Case Counts.

[BibT_eX]

[DOI]

Maksims Kazijevs

Furkan A. Akyelken

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Dynamic Perturbation of Weights for Improved Data Reconstruction in Unsupervised Learning.

[BibT_eX]

[DOI]

Rahim Hossain

Proceedings of the International Joint Conference on Neural Networks, 2021

Non-transfer Deep Learning of Optical Coherence Tomography for Post-hoc Explanation of Macular Disease Classification.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

2020

A novel framework for automated monitoring and analysis of high density pedestrian flow.

[BibT_eX]

[DOI]

Muhammad Baqui

Rainald Löhner

J. Intell. Transp. Syst., 2020

Survey on Deep Neural Networks in Speech and Vision Systems.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Effect of Text Processing Steps on Twitter Sentiment Classification using Word Embedding.

[BibT_eX]

[DOI]

Nalin D. Khounviengxay

Megan A. Witherow

CoRR, 2020

Information Mining for COVID-19 Research From a Large Volume of Scientific Literature.

[BibT_eX]

[DOI]

Sabber Ahamed

CoRR, 2020

2019

Non-linear regression models for imputing longitudinal missing data.

[BibT_eX]

[DOI]

Linlin Yin

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2018

A Machine Learning Pipeline to Optimally Utilize Limited Samples in Predictive Modeling.

[BibT_eX]

[DOI]

Megan A. Witherow

Proceedings of the 9th International Conference on Computing, 2018

2017

Deep learning of texture and structural features for multiclass Alzheimer's disease classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Frenet Frame-Based Generalized Space Curve Representation for Pose-Invariant Classification and Recognition of 3-D Face.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., 2016

2015

Analysis of facial muscle activation in children with autism using 3D imaging.

[BibT_eX]

[DOI]

Jonna L. Bobzien

John W. Harrington