DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
@article{AILS:journals/sensors/ChatzitofisZKD19,
author = {Anargyros Chatzitofis and
Dimitrios Zarpalas and
Stefanos D. Kollias and
Petros Daras},
title = {DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors
and Retro-Reflectors},
journal = {Sensors},
volume = {19},
number = {2},
pages = {282},
year = {2019},
url = {https://doi.org/10.3390/s19020282},
doi = {10.3390/s19020282}
}
author = {Anargyros Chatzitofis and
Dimitrios Zarpalas and
Stefanos D. Kollias and
Petros Daras},
title = {DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors
and Retro-Reflectors},
journal = {Sensors},
volume = {19},
number = {2},
pages = {282},
year = {2019},
url = {https://doi.org/10.3390/s19020282},
doi = {10.3390/s19020282}
}
Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks
@article{AILS:journals/corr/abs-1901-07822,
author = {Ilianna Kollia and
Andreas{-}Georgios Stafylopatis and
Stefanos D. Kollias},
title = {Predicting Parkinson's Disease using Latent Information extracted
from Deep Neural Networks},
journal = {CoRR},
volume = {abs/1901.07822},
year = {2019},
url = {http://arxiv.org/abs/1901.07822},
archivePrefix = {arXiv},
eprint = {1901.07822}
}
author = {Ilianna Kollia and
Andreas{-}Georgios Stafylopatis and
Stefanos D. Kollias},
title = {Predicting Parkinson's Disease using Latent Information extracted
from Deep Neural Networks},
journal = {CoRR},
volume = {abs/1901.07822},
year = {2019},
url = {http://arxiv.org/abs/1901.07822},
archivePrefix = {arXiv},
eprint = {1901.07822}
}
Capsule Routing via Variational Bayes
@article{AILS:journals/corr/abs-1905-11455,
author = {Fabio De Sousa Ribeiro and
Georgios Leontidis and
Stefanos D. Kollias},
title = {Capsule Routing via Variational Bayes},
journal = {CoRR},
volume = {abs/1905.11455},
year = {2019},
url = {http://arxiv.org/abs/1905.11455},
archivePrefix = {arXiv},
eprint = {1905.11455}
}
author = {Fabio De Sousa Ribeiro and
Georgios Leontidis and
Stefanos D. Kollias},
title = {Capsule Routing via Variational Bayes},
journal = {CoRR},
volume = {abs/1905.11455},
year = {2019},
url = {http://arxiv.org/abs/1905.11455},
archivePrefix = {arXiv},
eprint = {1905.11455}
}
Revisiting the medial axis for planar shape decomposition
@article{AILS:journals/cviu/PapanelopoulosA19,
author = {Nikos Papanelopoulos and
Yannis Avrithis and
Stefanos D. Kollias},
title = {Revisiting the medial axis for planar shape decomposition},
journal = {Computer Vision and Image Understanding},
volume = {179},
pages = {66--78},
year = {2019},
url = {https://doi.org/10.1016/j.cviu.2018.10.007},
doi = {10.1016/j.cviu.2018.10.007}
}
author = {Nikos Papanelopoulos and
Yannis Avrithis and
Stefanos D. Kollias},
title = {Revisiting the medial axis for planar shape decomposition},
journal = {Computer Vision and Image Understanding},
volume = {179},
pages = {66--78},
year = {2019},
url = {https://doi.org/10.1016/j.cviu.2018.10.007},
doi = {10.1016/j.cviu.2018.10.007}
}
Optimising remedial outcomes for Gas Turbines through large scale data analysis
@inproceedings{inproceedings,
author = {McGinty, Jason and Kollias, Stefanos and Leontidis, Georgios},
year = {2018},
month = {06},
pages = {},
title = {Optimising remedial outcomes for Gas Turbines through large scale data analysis},
doi = {10.19124/ima.2018.001.15}
}
author = {McGinty, Jason and Kollias, Stefanos and Leontidis, Georgios},
year = {2018},
month = {06},
pages = {},
title = {Optimising remedial outcomes for Gas Turbines through large scale data analysis},
doi = {10.19124/ima.2018.001.15}
}
Deep neural architectures for prediction in healthcare
@article{Kollias2018DeepNA,
title={Deep neural architectures for prediction in healthcare},
author={Dimitrios Kollias and Athanasios Tagaris and A. Stafylopatis and S. Kollias and G. Tagaris},
journal={Complex & Intelligent Systems},
year={2018},
volume={4},
pages={119-131}
}
title={Deep neural architectures for prediction in healthcare},
author={Dimitrios Kollias and Athanasios Tagaris and A. Stafylopatis and S. Kollias and G. Tagaris},
journal={Complex & Intelligent Systems},
year={2018},
volume={4},
pages={119-131}
}
WITH: Human-Computer Collaboration for Data Annotation and Enrichment
Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, 2018
@inproceedings{AILS:conf/www/ChortarasCDKRSS18,
author = {Alexandros Chortaras and
Anna Christaki and
Nasos Drosopoulos and
Eirini Kaldeli and
Maria Ralli and
Anastasia Sofou and
Arne Stabenau and
Giorgos Stamou and
Vassilis Tzouvaras},
title = {{WITH:} Human-Computer Collaboration for Data Annotation and Enrichment},
booktitle = {Companion of the The Web Conference 2018 on The Web Conference 2018,
{WWW} 2018, Lyon , France, April 23-27, 2018},
pages = {1117--1125},
year = {2018},
url = {https://doi.org/10.1145/3184558.3191544},
doi = {10.1145/3184558.3191544}
}
author = {Alexandros Chortaras and
Anna Christaki and
Nasos Drosopoulos and
Eirini Kaldeli and
Maria Ralli and
Anastasia Sofou and
Arne Stabenau and
Giorgos Stamou and
Vassilis Tzouvaras},
title = {{WITH:} Human-Computer Collaboration for Data Annotation and Enrichment},
booktitle = {Companion of the The Web Conference 2018 on The Web Conference 2018,
{WWW} 2018, Lyon , France, April 23-27, 2018},
pages = {1117--1125},
year = {2018},
url = {https://doi.org/10.1145/3184558.3191544},
doi = {10.1145/3184558.3191544}
}