Providing Certified Paths for Safe Port Operation: The e-Mariner paradigm. - Nikolaos G. Bakalos; Marc Bonazountas; Valantis Tsiakos; Vasilis Hadjipanos (PETRA, 2017)

A Deep-narma Filter for Unusual Behavior Detection from Visual, Thermal and Wireless Signals. - Nikolaos Bakalos; Athanasios Voulodimos; Anastasios D. Doulamis; Nikolaos Doulamis (ICASSP, 2019)

Learning Choreographic Primitives Through A Bayesian Optimized Bi-Directional LSTM Model. - Ioannis Rallis; Nikolaos Bakalos; Nikolaos Doulamis; Athanasios Voulodimos; Anastasios D. Doulamis; Eftychios Protopapadakis (ICIP, 2019)

Choreographic Pose Identification using Convolutional Neural Networks. - Nikolaos Bakalos; Ioannis Rallis; Nikolaos Doulamis; Anastasios D. Doulamis; Eftychios Protopapadakis; Athanasios Voulodimos (VS-GAMES, 2019)

WaterSpy: A High Sensitivity, Portable Photonic Device for Pervasive Water Quality Analysis. - Nikolaos Doulamis; Athanasios Voulodimos; Anastasios D. Doulamis; Matthaios Bimpas; Aikaterini Angeli; Nikolaos Bakalos; Alessandro Giusti; Panayiotis Philimis; Antonio Varriale; Alessio Ausili; Sabato d'Auria; George Lampropoulos; et al. (Sensors, 2019)

Protecting Water Infrastructure From Cyber and Physical Threats: Using Multimodal Data Fusion and Adaptive Deep Learning to Monitor Critical Systems. - Nikolaos Bakalos; Athanasios Voulodimos; Nikolaos Doulamis; Anastasios D. Doulamis; Avi Ostfeld; Elad Salomons; Juan Caubet; Victor Jimenez; Pau Li (IEEE Signal Process. Mag., 2019)

Machine Learning for Intangible Cultural Heritage: A Review of Techniques on Dance Analysis. - Ioannis Rallis; Athanasios Voulodimos; Nikolaos Bakalos; Eftychios Protopapadakis; Nikolaos Doulamis; Anastasios D. Doulamis (Visual Computing for Cultural Heritage, 2020)

Fusing RGB and Thermal Imagery with Channel State Information for Abnormal Activity Detection Using Multimodal Bidirectional LSTM. - Nikolaos Bakalos; Athanasios Voulodimos; Nikolaos Doulamis; Anastasios D. Doulamis; Kassiani Papasotiriou; Matthaios Bimpas (CPS4CIP, 2020)

Adaptive Convolutionally Enchanced Bi-Directional Lstm Networks For Choreographic Modeling. - Nikolaos Bakalos; Ioannis Rallis; Nikolaos D. Doulamis; Anastasios D. Doulamis; Athanasios Voulodimos; Eftychios Protopapadakis (ICIP, 2020)

Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification. - Konstantinos Makantasis; Athanasios Voulodimos; Anastasios D. Doulamis; Nikolaos Bakalos; Nikolaos Doulamis (ICPR, 2020)

Semantic classification of monuments' decoration materials using convolutional neural networks: a case study for meteora byzantine churches. - Nikolaos Bakalos; Sofia Soile; Charalabos Ioannidis (PETRA, 2020)

Neural network architectures for the detection of SYN flood attacks in IoT systems. - Spilios Evmorfos; George Vlachodimitropoulos; Nikolaos Bakalos; Erol Gelenbe (PETRA, 2020)

Motion Primitives Classification Using Deep Learning Models for Serious Game Platforms. - Nikolaos Bakalos; Ioannis Rallis; Nikolaos Doulamis; Anastasios D. Doulamis; Athanasios Voulodimos; Vassilios Vescoukis (IEEE Computer Graphics and Applications, 2020)

Space-Time Domain Tensor Neural Networks: An Application on Human Pose Recognition. - Konstantinos Makantasis; Athanasios Voulodimos; Anastasios D. Doulamis; Nikolaos Bakalos; Nikolaos Doulamis (CoRR, 2020)

Unsupervised Man Overboard Detection Using Thermal Imagery and Spatiotemporal Autoencoders. - Nikolaos Bakalos; Iason Katsamenis; Eleni Eirini Karolou; Nikolaos Doulamis (NiDS, 2021)

Bioinformatics systems for monitoring and mitigating epidemics: The STAMINA Paradigm. - Nikolaos Bakalos; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis (PETRA, 2021)

Man Overboard: Fall detection using spatiotemporal convolutional autoencoders in maritime environments. - Nikolaos Bakalos; Iason Katsamenis; Athanasios Voulodimos (PETRA, 2021)

Bidirectional long short-term memory networks and sparse hierarchical modeling for scalable educational learning of dance choreographies. - Ioannis Rallis; Nikolaos Bakalos; Nikolaos Doulamis; Anastasios D. Doulamis; Athanasios Voulodimos (Vis. Comput., 2021)

Multi-property Tensor-Based Learning for Abnormal Event Detection. - Nikolaos Bakalos; Nikolaos Doulamis; Anastasios D. Doulamis; Konstantinos Makantasis (ISVC (1), 2022)

Transferability Limitations for Covid 3D Localization Using SARS-CoV-2 Segmentation Models in 4D CT Images. - Constantine Maganaris; Eftychios Protopapadakis; Nikolaos Bakalos; Nikolaos Doulamis; Dimitris Kalogeras; Aikaterini Angeli (ISVC (2), 2022)

Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2 segmentation models. - Constantine Maganaris; Eftychios Protopapadakis; Nikolaos Bakalos; Nikolaos Doulamis; Dimitris Kalogeras; Aikaterini Angeli (PETRA, 2022)

COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level. - Ioannis Kavouras; Maria Kaselimi; Eftychios Protopapadakis; Nikolaos Bakalos; Nikolaos Doulamis; Anastasios D. Doulamis (Sensors, 2022)

A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation. - Iason Katsamenis; Eftychios Protopapadakis; Nikolaos Bakalos; Andreas Varvarigos; Anastasios Doulamis; Nikolaos Doulamis; Athanasios Voulodimos (ISVC (1), 2023)

Real time road defect monitoring from UAV visual data sources. - Iason Katsamenis; Nikolaos Bakalos; Eftychios Protopapadakis; Eleni Eirini Karolou; Georgios Kopsiaftis; Athanasios Voulodimos (PETRA, 2023)

Deep transformer networks for precise pothole segmentation tasks. - Iason Katsamenis; Athanasios Sakelliou; Nikolaos Bakalos; Eftychios Protopapadakis; Christos Klaridopoulos; Nikolaos Frangakis; Matthaios Bimpas; Dimitris Kalogeras (PETRA, 2023)

Towards Accelerating the Adoption of Federated Learning for Heterogeneous Data. - Christos Ntokos; Nikolaos Bakalos; Dimitrios Kalogeras (PETRA, 2023)

A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation. - Iason Katsamenis; Eftychios Protopapadakis; Nikolaos Bakalos; Anastasios D. Doulamis; Nikolaos Doulamis; Athanasios Voulodimos (CoRR, 2023)

SECURED for Health: Scaling Up Privacy to Enable the Integration of the European Health Data Space. - Francesco Regazzoni 001; Gergely Ács; Albert Zoltan Aszalos; Christos Avgerinos; Nikolaos Bakalos; Josep Lluis Berral; Joppe W. Bos; Marco Brohet; Andrés G. Castillo Sanz; Gareth T. Davies; Stefanos Florescu; Pierre-Elisée Flory; et al. (DATE, 2024)

A Vision-Based Framework for Human Behavior Understanding in Industrial Assembly Lines. - Konstantinos E. Papoutsakis; Nikolaos Bakalos; Konstantinos Fragkoulis; Athena Zacharia; Georgia Kapetadimitri; Maria Pateraki (ECCV Workshops (13), 2024)

Segmentation of Remote Sensing Data with Missing Modalities Through Prototype Knowledge Distillation. - Nikolaos Bakalos; Stavros Sykiotis; Anastasios Temenos; Ioannis Rallis; Anastasios Doulamis; Nikolaos Doulamis (IGARSS, 2024)

UAV-based Localization of Removable Urban Pavement Elements Through Deep Object Detection Methods. - Iason Katsamenis; Grégory Andreoli; Margarita Skamantzari; Nikolaos Bakalos; Franziska Schmidt; Thierry Sedran; Nikolaos Doulamis; Eftychios Protopapadakis; Dimitris Kalogeras (PETRA, 2024)

IKAROS: a UAV-based integrated system for monitoring road defects and managing vehicle traffic and emergencies on road transport networks. - George Kopsiaftis; Iason Katsamenis; Ioannis Rallis; Nikolaos Bakalos; Charalampos Zafeiropoulos; Ioannis Georgoulas; Ioannis Kourtis; Ioannis Kavouras; Ioannis Markoulidakis; Eleni Eirini Karolou; Kyriaki Chiona; Panagiotis Panetsos; et al. (PETRA, 2024)

Learning using privileged information for segmenting tumors on digital mammograms. - Ioannis N. Tzortzis; Konstantinos Makantasis; Ioannis Rallis; Nikolaos Bakalos; Anastasios Doulamis; Nikolaos Doulamis (CoRR, 2024)