Hasil Pencarian - Anastasios Doulamis

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  1. 1
    On the Impact of Labeled Sample Selection in Semisupervised Learning for Complex Visual Recognition Tasks

    On the Impact of Labeled Sample Selection in Semisupervised Learning for Complex Visual Recognition Tasks oleh Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis

    Diterbitkan 2018-01-01
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  2. 2
    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 oleh Maria Kaselimi, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis

    Diterbitkan 2022-10-01
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  3. 3
    Uncertainty estimation of machine learning spatial precipitation predictions from satellite data

    Uncertainty estimation of machine learning spatial precipitation predictions from satellite data oleh Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis

    Diterbitkan 2024-01-01
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  4. 4
    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 oleh Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis, Nikolaos Doulamis

    Diterbitkan 2023-02-01
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  5. 5
    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 oleh Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis, Nikolaos Doulamis

    Diterbitkan 2023-02-01
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  6. 6
    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 oleh Anastasios Temenos, Nikos Temenos, Anastasios Doulamis, Nikolaos Doulamis

    Diterbitkan 2022-01-01
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  7. 7
    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 oleh Hristos Tyralis, Georgia Papacharalampous, Nikolaos Doulamis, Anastasios Doulamis

    Diterbitkan 2023-01-01
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  8. 8
    ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring

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

    Diterbitkan 2022-04-01
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  9. 9
    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 oleh Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis, Evangelos Maltezos

    Diterbitkan 2021-01-01
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  10. 10
    Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data

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

    Diterbitkan 2023-10-01
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  11. 11
    Unsupervised 3D Motion Summarization Using Stacked Auto-Encoders

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

    Diterbitkan 2020-11-01
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  12. 12
    EnerGAN++: A Generative Adversarial Gated Recurrent Network for Robust Energy Disaggregation

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

    Diterbitkan 2021-01-01
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  13. 13
    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 oleh Athanasios Voulodimos, Eftychios Protopapadakis, Iason Katsamenis, Anastasios Doulamis, Nikolaos Doulamis

    Diterbitkan 2021-03-01
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  14. 14
    Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation

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

    Diterbitkan 2019-01-01
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  15. 15
    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 oleh Maria Kaselimi, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis, Demitris Delikaraoglou

    Diterbitkan 2020-04-01
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  16. 16
    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 oleh Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios Doulamis

    Diterbitkan 2022-08-01
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  17. 17
    Fall Detection Using Multi-Property Spatiotemporal Autoencoders in Maritime Environments

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

    Diterbitkan 2022-03-01
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  18. 18
    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 oleh Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios Doulamis, Nikolaos Doulamis

    Diterbitkan 2021-01-01
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  19. 19
    A Machine Learning Based Classification Method for Customer Experience Survey Analysis

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

    Diterbitkan 2020-12-01
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  20. 20
    Dance Pose Identification from Motion Capture Data: A Comparison of Classifiers

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

    Diterbitkan 2018-03-01
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