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Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification

IEEE transactions on medical imaging, 2018-10, Vol.37 (10), p.2196-2210

2018

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IEEE_Xplore

Analysing sentiment change detection of Covid-19 tweets

Neural computing & applications, 2023-10, Vol.35 (29), p.21433-21443

2023

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Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data

Information (Basel), 2020-11, Vol.11 (11), p.502

2020

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Change detection and convolution neural networks for fall recognition

Neural computing & applications, 2020-12, Vol.32 (23), p.17245-17258

2020

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Convolutional Neural Networks for Toxic Comment Classification

Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018, p.1-6

2018

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Two phase cooperative learning for supervised dimensionality reduction

Pattern recognition, 2023-12, Vol.144, p.109871, Article 109871

2023

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Developing predictive precision medicine models by exploiting real-world data using machine learning methods

Journal of applied statistics, 2024-02, p.1-24

2024

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Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring

2022 International Joint Conference on Neural Networks (IJCNN), 2022, p.1-9

2022

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IEEE_Xplore

Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation

Health information science and systems, 2024-02, Vol.12 (1), p.14-14, Article 14

2024

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Evaluation of an electronic prescription platform: Clinicians’ feedback on three distinct services aiming to facilitate clinical decision and safer e-prescription

Research in social and administrative pharmacy, 2024-07, Vol.20 (7), p.640-647

2024

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Health in All Policy Making Utilizing Big Data

Acta informatica medica, 2020-03, Vol.28 (1), p.65-70

2020

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Deep Learning and Change Detection for Fall Recognition

Engineering Applications of Neural Networks, p.262-273

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Text Analysis of COVID-19 Tweets

Engineering Applications of Neural Networks, p.517-528

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Efficient change detection for high dimensional data streams

2015 IEEE International Conference on Big Data (Big Data), 2015, p.2219-2222

2015

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Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images

Engineering Applications of Neural Networks, p.292-301

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Detection of Fake Generated Scientific Abstracts

2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService), 2023, p.33-39

2023

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Efficient Learning Rate Adaptation for Convolutional Neural Network Training

2019 International Joint Conference on Neural Networks (IJCNN), 2019, p.1-8

2019

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IEEE_Xplore

Using Big Data Analytics to Detect Fraud in Healthcare Provision

2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME), 2020, p.1-3

2020

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Real Time Sentiment Change Detection of Twitter Data Streams

2018 Innovations in Intelligent Systems and Applications (INISTA), 2018, p.1-6

2018

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Biomedical Data Ensemble Classification using Random Projections

2018 IEEE International Conference on Big Data (Big Data), 2018, p.166-172

2018

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IEEE_Xplore

Single-cell regulatory network inference and clustering from high-dimensional sequencing data

2019 IEEE International Conference on Big Data (Big Data), 2019, p.2782-2789

2019

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Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections

2018 IEEE International Conference on Big Data (Big Data), 2018, p.5448-5450

2018

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IEEE_Xplore

Weakly-supervised Convolutional learning for detection of inflammatory gastrointestinal lesions

2016 IEEE International Conference on Imaging Systems and Techniques (IST), 2016, p.510-514

2016

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Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification

TarBase-v9.0 extends experimentally supported miRNA-gene interactions to cell-types and virally encoded miRNAs

Analysing sentiment change detection of Covid-19 tweets

Ensemble Classification through Random Projections for Single-Cell RNA-Seq Data

Change detection and convolution neural networks for fall recognition

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project

Convolutional Neural Networks for Toxic Comment Classification

Two phase cooperative learning for supervised dimensionality reduction

Developing predictive precision medicine models by exploiting real-world data using machine learning methods

Deep Hybrid Learning for Anomaly Detection in Behavioral Monitoring

Investigating the overlap of machine learning algorithms in the final results of RNA-seq analysis on gene expression estimation

Evaluation of an electronic prescription platform: Clinicians’ feedback on three distinct services aiming to facilitate clinical decision and safer e-prescription

Health in All Policy Making Utilizing Big Data

Deep Learning and Change Detection for Fall Recognition

Text Analysis of COVID-19 Tweets

Efficient change detection for high dimensional data streams

Artificial Neural Networks and Principal Components Analysis for Detection of Idiopathic Pulmonary Fibrosis in Microscopy Images

Detection of Fake Generated Scientific Abstracts

Efficient Learning Rate Adaptation for Convolutional Neural Network Training

Using Big Data Analytics to Detect Fraud in Healthcare Provision

Real Time Sentiment Change Detection of Twitter Data Streams

Biomedical Data Ensemble Classification using Random Projections

Single-cell regulatory network inference and clustering from high-dimensional sequencing data

Visualizing High-dimensional single-cell RNA-sequencing data through multiple Random Projections

Weakly-supervised Convolutional learning for detection of inflammatory gastrointestinal lesions

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