Showing 1 - 20 results of 30 for search 'Nikolaos Doulamis', query time: 0.08s Refine Results
  1. 1
    A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring

    A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring by Maria Kaselimi, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis

    Published 2022-10-01
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  2. 2
    Comparison of Machine Learning Algorithms for Merging Gridded Satellite and Earth-Observed Precipitation Data

    Comparison of Machine Learning Algorithms for Merging Gridded Satellite and Earth-Observed Precipitation Data by Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis, Nikolaos Doulamis

    Published 2023-02-01
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  3. 3
    Comparison of Tree-Based Ensemble Algorithms for Merging Satellite and Earth-Observed Precipitation Data at the Daily Time Scale

    Comparison of Tree-Based Ensemble Algorithms for Merging Satellite and Earth-Observed Precipitation Data at the Daily Time Scale by Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis, Nikolaos Doulamis

    Published 2023-02-01
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  4. 4
    On the Exploration of Automatic Building Extraction from RGB Satellite Images Using Deep Learning Architectures Based on U-Net

    On the Exploration of Automatic Building Extraction from RGB Satellite Images Using Deep Learning Architectures Based on U-Net by Anastasios Temenos, Nikos Temenos, Anastasios Doulamis, Nikolaos Doulamis

    Published 2022-01-01
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  5. 5
    Merging Satellite and Gauge-Measured Precipitation Using LightGBM With an Emphasis on Extreme Quantiles

    Merging Satellite and Gauge-Measured Precipitation Using LightGBM With an Emphasis on Extreme Quantiles by Hristos Tyralis, Georgia Papacharalampous, Nikolaos Doulamis, Anastasios Doulamis

    Published 2023-01-01
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  6. 6
    ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring

    ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring by Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis

    Published 2022-04-01
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  7. 7
    Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery

    Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery by Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis, Evangelos Maltezos

    Published 2021-01-01
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  8. 8
    Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data

    Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data by Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis

    Published 2023-10-01
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  9. 9
    Unsupervised 3D Motion Summarization Using Stacked Auto-Encoders

    Unsupervised 3D Motion Summarization Using Stacked Auto-Encoders by Eftychios Protopapadakis, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos

    Published 2020-11-01
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  10. 10
    EnerGAN++: A Generative Adversarial Gated Recurrent Network for Robust Energy Disaggregation

    EnerGAN++: A Generative Adversarial Gated Recurrent Network for Robust Energy Disaggregation by Maria Kaselimi, Nikolaos Doulamis, Athanasios Voulodimos, Anastasios Doulamis, Eftychios Protopapadakis

    Published 2021-01-01
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  11. 11
    A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images

    A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images by Athanasios Voulodimos, Eftychios Protopapadakis, Iason Katsamenis, Anastasios Doulamis, Nikolaos Doulamis

    Published 2021-03-01
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  12. 12
    Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation

    Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation by Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis

    Published 2019-01-01
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  13. 13
    A Causal Long Short-Term Memory Sequence to Sequence Model for TEC Prediction Using GNSS Observations

    A Causal Long Short-Term Memory Sequence to Sequence Model for TEC Prediction Using GNSS Observations by Maria Kaselimi, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis, Demitris Delikaraoglou

    Published 2020-04-01
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  14. 14
    Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring

    Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring by Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis

    Published 2022-08-01
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  15. 15
    Fall Detection Using Multi-Property Spatiotemporal Autoencoders in Maritime Environments

    Fall Detection Using Multi-Property Spatiotemporal Autoencoders in Maritime Environments by Iason Katsamenis, Nikolaos Bakalos, Eleni Eirini Karolou, Anastasios Doulamis, Nikolaos Doulamis

    Published 2022-03-01
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  16. 16
    Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification

    Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification by Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios Doulamis, Nikolaos Doulamis

    Published 2021-01-01
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  17. 17
    A Machine Learning Based Classification Method for Customer Experience Survey Analysis

    A Machine Learning Based Classification Method for Customer Experience Survey Analysis by Ioannis Markoulidakis, Ioannis Rallis, Ioannis Georgoulas, George Kopsiaftis, Anastasios Doulamis, Nikolaos Doulamis

    Published 2020-12-01
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  18. 18
    Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers

    Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers by Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis, Stephanos Camarinopoulos, Nikolaos Doulamis, Georgios Miaoulis

    Published 2018-03-01
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  19. 19
    Multiclass Confusion Matrix Reduction Method and Its Application on Net Promoter Score Classification Problem

    Multiclass Confusion Matrix Reduction Method and Its Application on Net Promoter Score Classification Problem by Ioannis Markoulidakis, Ioannis Rallis, Ioannis Georgoulas, George Kopsiaftis, Anastasios Doulamis, Nikolaos Doulamis

    Published 2021-11-01
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  20. 20
    Graph-Based Semi-Supervised Learning With Tensor Embeddings for Hyperspectral Data Classification

    Graph-Based Semi-Supervised Learning With Tensor Embeddings for Hyperspectral Data Classification by Ioannis Georgoulas, Eftychios Protopapadakis, Konstantinos Makantasis, Dylan Seychell, Anastasios Doulamis, Nikolaos Doulamis

    Published 2023-01-01
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