A Deep Learning Approach to Anomaly Detection in Nuclear Reactors
2018 International Joint Conference on Neural Networks, {IJCNN} 2018, Rio de Janeiro, Brazil, July 8-13, 2018, 2018
@inproceedings{AILS:conf/ijcnn/CalivaRMDVLK18,
author = {Francesco Caliv{\`{a}} and
Fabio De Sousa Ribeiro and
Antonios Mylonakis and
Christophe Demazi{\`{e}}re and
Paolo Vinai and
Georgios Leontidis and
Stefanos D. Kollias},
title = {A Deep Learning Approach to Anomaly Detection in Nuclear Reactors},
booktitle = {2018 International Joint Conference on Neural Networks, {IJCNN} 2018,
Rio de Janeiro, Brazil, July 8-13, 2018},
pages = {1--8},
year = {2018},
url = {https://doi.org/10.1109/IJCNN.2018.8489130},
doi = {10.1109/IJCNN.2018.8489130}
}
author = {Francesco Caliv{\`{a}} and
Fabio De Sousa Ribeiro and
Antonios Mylonakis and
Christophe Demazi{\`{e}}re and
Paolo Vinai and
Georgios Leontidis and
Stefanos D. Kollias},
title = {A Deep Learning Approach to Anomaly Detection in Nuclear Reactors},
booktitle = {2018 International Joint Conference on Neural Networks, {IJCNN} 2018,
Rio de Janeiro, Brazil, July 8-13, 2018},
pages = {1--8},
year = {2018},
url = {https://doi.org/10.1109/IJCNN.2018.8489130},
doi = {10.1109/IJCNN.2018.8489130}
}
Investigating the Best Performing Task Conditions of a Multi-Tasking Learning Model in Healthcare Using Convolutional Neural Networks: Evidence from a Parkinson'S Disease Database
2018 {IEEE} International Conference on Image Processing, {ICIP} 2018, Athens, Greece, October 7-10, 2018, 2018
@inproceedings{AILS:conf/icip/VlachostergiouT18,
author = {Aggeliki Vlachostergiou and
Athanasios Tagaris and
Andreas Stafylopatis and
Stefanos D. Kollias},
title = {Investigating the Best Performing Task Conditions of a Multi-Tasking
Learning Model in Healthcare Using Convolutional Neural Networks:
Evidence from a Parkinson'S Disease Database},
booktitle = {2018 {IEEE} International Conference on Image Processing, {ICIP} 2018,
Athens, Greece, October 7-10, 2018},
pages = {2047--2051},
year = {2018},
url = {https://doi.org/10.1109/ICIP.2018.8451276},
doi = {10.1109/ICIP.2018.8451276}
}
author = {Aggeliki Vlachostergiou and
Athanasios Tagaris and
Andreas Stafylopatis and
Stefanos D. Kollias},
title = {Investigating the Best Performing Task Conditions of a Multi-Tasking
Learning Model in Healthcare Using Convolutional Neural Networks:
Evidence from a Parkinson'S Disease Database},
booktitle = {2018 {IEEE} International Conference on Image Processing, {ICIP} 2018,
Athens, Greece, October 7-10, 2018},
pages = {2047--2051},
year = {2018},
url = {https://doi.org/10.1109/ICIP.2018.8451276},
doi = {10.1109/ICIP.2018.8451276}
}
Multi-Task Learning for Predicting Parkinson's Disease Based on Medical Imaging Information
2018 {IEEE} International Conference on Image Processing, {ICIP} 2018, Athens, Greece, October 7-10, 2018, 2018
@inproceedings{AILS:conf/icip/VlachostergiouT18a,
author = {Aggeliki Vlachostergiou and
Athanasios Tagaris and
Andreas Stafylopatis and
Stefanos D. Kollias},
title = {Multi-Task Learning for Predicting Parkinson's Disease Based on Medical
Imaging Information},
booktitle = {2018 {IEEE} International Conference on Image Processing, {ICIP} 2018,
Athens, Greece, October 7-10, 2018},
pages = {2052--2056},
year = {2018},
url = {https://doi.org/10.1109/ICIP.2018.8451398},
doi = {10.1109/ICIP.2018.8451398}
}
author = {Aggeliki Vlachostergiou and
Athanasios Tagaris and
Andreas Stafylopatis and
Stefanos D. Kollias},
title = {Multi-Task Learning for Predicting Parkinson's Disease Based on Medical
Imaging Information},
booktitle = {2018 {IEEE} International Conference on Image Processing, {ICIP} 2018,
Athens, Greece, October 7-10, 2018},
pages = {2052--2056},
year = {2018},
url = {https://doi.org/10.1109/ICIP.2018.8451398},
doi = {10.1109/ICIP.2018.8451398}
}
An End-to-End Deep Neural Architecture for Optical Character Verification and Recognition in Retail Food Packaging
2018 {IEEE} International Conference on Image Processing, {ICIP} 2018, Athens, Greece, October 7-10, 2018, 2018
@inproceedings{AILS:conf/icip/RibeiroGCSG0LYK18,
author = {Fabio De Sousa Ribeiro and
Liyun Gong and
Francesco Caliv{\`{a}} and
Mark Swainson and
Kjartan Gudmundsson and
Miao Yu and
Georgios Leontidis and
Xujiong Ye and
Stefanos D. Kollias},
title = {An End-to-End Deep Neural Architecture for Optical Character Verification
and Recognition in Retail Food Packaging},
booktitle = {2018 {IEEE} International Conference on Image Processing, {ICIP} 2018,
Athens, Greece, October 7-10, 2018},
pages = {2376--2380},
year = {2018},
url = {https://doi.org/10.1109/ICIP.2018.8451555},
doi = {10.1109/ICIP.2018.8451555}
}
author = {Fabio De Sousa Ribeiro and
Liyun Gong and
Francesco Caliv{\`{a}} and
Mark Swainson and
Kjartan Gudmundsson and
Miao Yu and
Georgios Leontidis and
Xujiong Ye and
Stefanos D. Kollias},
title = {An End-to-End Deep Neural Architecture for Optical Character Verification
and Recognition in Retail Food Packaging},
booktitle = {2018 {IEEE} International Conference on Image Processing, {ICIP} 2018,
Athens, Greece, October 7-10, 2018},
pages = {2376--2380},
year = {2018},
url = {https://doi.org/10.1109/ICIP.2018.8451555},
doi = {10.1109/ICIP.2018.8451555}
}
Machine Learning for Neurodegenerative Disorder Diagnosis - Survey of Practices and Launch of Benchmark Dataset
@article{AILS:journals/ijait/TagarisKSTK18,
author = {Athanasios Tagaris and
Dimitrios Kollias and
Andreas Stafylopatis and
Georgios L. Tagaris and
Stefanos D. Kollias},
title = {Machine Learning for Neurodegenerative Disorder Diagnosis - Survey
of Practices and Launch of Benchmark Dataset},
journal = {International Journal on Artificial Intelligence Tools},
volume = {27},
number = {3},
pages = {1--28},
year = {2018},
url = {https://doi.org/10.1142/S0218213018500112},
doi = {10.1142/S0218213018500112}
}
author = {Athanasios Tagaris and
Dimitrios Kollias and
Andreas Stafylopatis and
Georgios L. Tagaris and
Stefanos D. Kollias},
title = {Machine Learning for Neurodegenerative Disorder Diagnosis - Survey
of Practices and Launch of Benchmark Dataset},
journal = {International Journal on Artificial Intelligence Tools},
volume = {27},
number = {3},
pages = {1--28},
year = {2018},
url = {https://doi.org/10.1142/S0218213018500112},
doi = {10.1142/S0218213018500112}
}
On the Beneficial Effect of Noise in Vertex Localization
@article{AILS:journals/ijcv/RaftopoulosKSF18,
author = {Konstantinos Raftopoulos and
Stefanos D. Kollias and
Dionysios D. Sourlas and
Marin Ferecatu},
title = {On the Beneficial Effect of Noise in Vertex Localization},
journal = {International Journal of Computer Vision},
volume = {126},
number = {1},
pages = {111--139},
year = {2018},
url = {https://doi.org/10.1007/s11263-017-1034-6},
doi = {10.1007/s11263-017-1034-6}
}
author = {Konstantinos Raftopoulos and
Stefanos D. Kollias and
Dionysios D. Sourlas and
Marin Ferecatu},
title = {On the Beneficial Effect of Noise in Vertex Localization},
journal = {International Journal of Computer Vision},
volume = {126},
number = {1},
pages = {111--139},
year = {2018},
url = {https://doi.org/10.1007/s11263-017-1034-6},
doi = {10.1007/s11263-017-1034-6}
}
A Refined 3D Dataset for the Analysis of Player Actions in Exertion Games
2018 {IEEE} Conference on Computational Intelligence and Games, {CIG} 2018, Maastricht, The Netherlands, August 14-17, 2018, 2018
@inproceedings{AILS:conf/cig/VariaTKK18,
author = {Chrysoula Varia and
Georgios Tsatiris and
Kostas Karpouzis and
Stefanos D. Kollias},
title = {A Refined 3D Dataset for the Analysis of Player Actions in Exertion
Games},
booktitle = {2018 {IEEE} Conference on Computational Intelligence and Games, {CIG}
2018, Maastricht, The Netherlands, August 14-17, 2018},
pages = {1--4},
year = {2018},
url = {https://doi.org/10.1109/CIG.2018.8490458},
doi = {10.1109/CIG.2018.8490458}
}
author = {Chrysoula Varia and
Georgios Tsatiris and
Kostas Karpouzis and
Stefanos D. Kollias},
title = {A Refined 3D Dataset for the Analysis of Player Actions in Exertion
Games},
booktitle = {2018 {IEEE} Conference on Computational Intelligence and Games, {CIG}
2018, Maastricht, The Netherlands, August 14-17, 2018},
pages = {1--4},
year = {2018},
url = {https://doi.org/10.1109/CIG.2018.8490458},
doi = {10.1109/CIG.2018.8490458}
}