Nikolaos Bakalos

Orcid: 0000-0002-3106-4758

Affiliations:
  • National Technical University of Athens, Institute of Communication and Computer Systems, Greece


According to our database1, Nikolaos Bakalos authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning using privileged information for segmenting tumors on digital mammograms.
CoRR, 2024

2023
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation.
CoRR, 2023

Towards Accelerating the Adoption of Federated Learning for Heterogeneous Data.
Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

Deep transformer networks for precise pothole segmentation tasks.
Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

Real time road defect monitoring from UAV visual data sources.
Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023

A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation.
Proceedings of the Advances in Visual Computing - 18th International Symposium, 2023

2022
COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level.
Sensors, 2022

Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2 segmentation models.
Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Transferability Limitations for Covid 3D Localization Using SARS-CoV-2 Segmentation Models in 4D CT Images.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Multi-property Tensor-Based Learning for Abnormal Event Detection.
Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

2021
Bidirectional long short-term memory networks and sparse hierarchical modeling for scalable educational learning of dance choreographies.
Vis. Comput., 2021

Man Overboard: Fall detection using spatiotemporal convolutional autoencoders in maritime environments.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Bioinformatics systems for monitoring and mitigating epidemics: The STAMINA Paradigm.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

Unsupervised Man Overboard Detection Using Thermal Imagery and Spatiotemporal Autoencoders.
Proceedings of the Novelties in Intelligent Digital Systems - Proceedings of the 1st International Conference (NiDS 2021), Athens, Greece, September 30, 2021

2020
Space-Time Domain Tensor Neural Networks: An Application on Human Pose Recognition.
CoRR, 2020

Motion Primitives Classification Using Deep Learning Models for Serious Game Platforms.
IEEE Computer Graphics and Applications, 2020

Neural network architectures for the detection of SYN flood attacks in IoT systems.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Semantic classification of monuments' decoration materials using convolutional neural networks: a case study for meteora byzantine churches.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Adaptive Convolutionally Enchanced Bi-Directional Lstm Networks For Choreographic Modeling.
Proceedings of the IEEE International Conference on Image Processing, 2020

Fusing RGB and Thermal Imagery with Channel State Information for Abnormal Activity Detection Using Multimodal Bidirectional LSTM.
Proceedings of the Cyber-Physical Security for Critical Infrastructures Protection, 2020

Machine Learning for Intangible Cultural Heritage: A Review of Techniques on Dance Analysis.
Proceedings of the Visual Computing for Cultural Heritage, 2020

2019
Protecting Water Infrastructure From Cyber and Physical Threats: Using Multimodal Data Fusion and Adaptive Deep Learning to Monitor Critical Systems.
IEEE Signal Process. Mag., 2019

WaterSpy: A High Sensitivity, Portable Photonic Device for Pervasive Water Quality Analysis.
Sensors, 2019

Choreographic Pose Identification using Convolutional Neural Networks.
Proceedings of the 11th International Conference on Virtual Worlds and Games for Serious Applications, 2019

Learning Choreographic Primitives Through A Bayesian Optimized Bi-Directional LSTM Model.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Deep-narma Filter for Unusual Behavior Detection from Visual, Thermal and Wireless Signals.
Proceedings of the IEEE International Conference on Acoustics, 2019

2017
Providing Certified Paths for Safe Port Operation: The e-Mariner paradigm.
Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017


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