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ORCIDNikolaos D. Doulamis
Nikolaos Doulamis – Nikos Doulamis
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2020 – today
- 2024
[j90]Sotiris Messinis
, Nikos Temenos, Nicholas E. Protonotarios, Ioannis Rallis, Dimitrios Kalogeras, Nikolaos Doulamis:
Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review. Comput. Biol. Medicine 170: 108036 (2024)- [j89]Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis:
Uncertainty estimation of machine learning spatial precipitation predictions from satellite data. Mach. Learn. Sci. Technol. 5(3): 35044 (2024) - [j88]Sotirios Messinis, Nicholas E. Protonotarios, Nikolaos Doulamis:
Differentially Private Client Selection and Resource Allocation in Federated Learning for Medical Applications Using Graph Neural Networks. Sensors 24(16): 5142 (2024) - [j87]Sotirios Athanasoulias, Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis, Nikolaos Ipiotis:
OPT-NILM: An Iterative Prior-to-Full-Training Pruning Approach for Cost-Effective User Side Energy Disaggregation. IEEE Trans. Consumer Electron. 70(1): 4435-4446 (2024) - [c204]Sotirios Athanasoulias, Stavros Sykiotis, Nikos Temenos, Anastasios Doulamis, Nikolaos Doulamis:
A Pre-Training Pruning Strategy for Enabling Lightweight Non-Intrusive Load Monitoring On Edge Devices. ICASSP Workshops 2024: 249-253 - [c203]Anastasios Temenos, Nikos Temenos, Ioannis Rallis, Margarita Skamantzari, Anastasios Doulamis, Nikolaos Doulamis:
Identifying False Negative Flood Events Using Interpretable Deep Learning Framework. IGARSS 2024: 2155-2158 - [c202]Thodoris Betsas, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis, Andreas Georgopoulos:
Automated Detection and Categorization of River Islets Using Sentinel 2 Images. IGARSS 2024: 4344-4348 - [c201]Maria Kaselimi, Anargyros J. Roumeliotis, Apostolos Z. Papafragkakis, Athanasios D. Panagopoulos, Nikolaos D. Doulamis:
Satellite Channel Excess Attenuation Prediction at Ka Band Using Deep Learning Models and Rainfall Rate Data. IGARSS 2024: 5525-5529 - [c200]Nikolaos Bakalos, Stavros Sykiotis, Anastasios Temenos, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis:
Segmentation of Remote Sensing Data with Missing Modalities Through Prototype Knowledge Distillation. IGARSS 2024: 10015-10018 - [c199]Stavros Sykiotis, Sotirios Athanasoulias, Nikolaos Temenos, Ioannis Rallis, Anastasios Doulamis, Nikolaos Doulamis:
Community-driven Smart EV charging With Multi-Agent Deep Reinforcement Learning. IJCNN 2024: 1-8 - [c198]Ioannis Kavouras, Ioannis Rallis, Emmanuel Sardis, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis:
Multi-scale Intervention Planning Based on Generative Design. ITS (2) 2024: 225-233 - [c197]Iason Katsamenis, Grégory Andreoli, Margarita Skamantzari, Nikolaos Bakalos, Franziska Schmidt, Thierry Sedran, Nikolaos Doulamis, Eftychios Protopapadakis, Dimitris Kalogeras:
UAV-based Localization of Removable Urban Pavement Elements Through Deep Object Detection Methods. PETRA 2024 - [c196]Ioannis Kavouras, Ioannis Rallis, Nikolaos Doulamis, Anastasios Doulamis:
Ocean-DC: An analysis ready data cube framework for environmental and climate change monitoring over the port areas. PETRA 2024 - [c195]Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Doulamis:
Outlier detection in maritime environments using AIS data and deep recurrent architectures. PETRA 2024 - [c194]Sotirios Messinis, Nicholas E. Protonotarios, Emmanouil Arapidis, Nikolaos Doulamis:
Client Selection and Resource Allocation via Graph Neural Networks for Efficient Federated Learning in Healthcare Environments. PETRA 2024 - [d1]Anastasios Temenos, Athanasios Voulodimos, Vera Korelidou, Athanasios Gelasakis, Dimitris Kalogeras, Anastasios Doulamis, Nikolaos Doulamis:
Goat-CNN: A Lightweight Convolutional Neural Network for Pose-Independent Body Condition Score Estimation in Goats. Zenodo, 2024
- [i31]Ioannis N. Tzortzis, Konstantinos Makantasis, Ioannis Rallis, Nikolaos Bakalos, Anastasios Doulamis, Nikolaos Doulamis:
Learning using privileged information for segmenting tumors on digital mammograms. CoRR abs/2402.06379 (2024) - [i30]Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis:
Uncertainty estimation in spatial interpolation of satellite precipitation with ensemble learning. CoRR abs/2403.10567 (2024) - [i29]Ioannis Kavouras, Ioannis Rallis, Emmanuel Sardis, Eftychios Protopapadakis, Anastasios Doulamis, Nikolaos Doulamis:
Multi-scale Intervention Planning based on Generative Design. CoRR abs/2404.15492 (2024) - [i28]Ioannis Kavouras, Ioannis Rallis, Nikolaos Doulamis, Anastasios Doulamis:
Ocean-DC: An analysis ready data cube framework for environmental and climate change monitoring over the port areas. CoRR abs/2405.06730 (2024) - [i27]Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Doulamis:
Outlier detection in maritime environments using AIS data and deep recurrent architectures. CoRR abs/2406.09966 (2024) - [i26]Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis:
Uncertainty estimation in satellite precipitation spatial prediction by combining distributional regression algorithms. CoRR abs/2407.01623 (2024) - 2023
- [j86]Ioannis Georgoulas, Eftychios Protopapadakis, Konstantinos Makantasis, Dylan Seychell, Anastasios Doulamis, Nikolaos Doulamis:
Graph-Based Semi-Supervised Learning With Tensor Embeddings for Hyperspectral Data Classification. IEEE Access 11: 124819-124832 (2023) - [j85]Anastasios Temenos, Nikos Temenos, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis:
Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j84]Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis:
Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data. Remote. Sens. 15(20): 4912 (2023) - [j83]Hristos Tyralis, Georgia Papacharalampous, Nikolaos Doulamis, Anastasios D. Doulamis:
Merging Satellite and Gauge-Measured Precipitation Using LightGBM With an Emphasis on Extreme Quantiles. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 6969-6979 (2023) - [j82]Stavros Sykiotis, Sotirios Athanasoulias, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis, Lina Stankovic, Vladimir Stankovic:
Performance-Aware NILM Model Optimization for Edge Deployment. IEEE Trans. Green Commun. Netw. 7(3): 1434-1446 (2023) - [j81]Maria Kaselimi, Athanasios Voulodimos, Ioannis Daskalopoulos, Nikolaos Doulamis, Anastasios D. Doulamis:
A Vision Transformer Model for Convolution-Free Multilabel Classification of Satellite Imagery in Deforestation Monitoring. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3299-3307 (2023) - [c193]Maria Kaselimi, Anargyros J. Roumeliotis, Apostolos Z. Papafragkakis, Athanasios D. Panagopoulos, Nikolaos D. Doulamis:
Site Diversity Switching Prediction AT Q Band Using Deep Learning Techniques in Satellite Communications. ICASSP Workshops 2023: 1-5 - [c192]Stavros Sykiotis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis:
Continilm: A Continual Learning Scheme for Non-Intrusive Load Monitoring. ICASSP 2023: 1-5 - [c191]Anastasios Temenos, Nikos Temenos, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis:
Multi-Spectral Band Selection and Spatial Explanations Using XAI Algorithms in Remote Sensing Applications. IGARSS 2023: 6093-6396 - [c190]Iason Katsamenis, Eftychios Protopapadakis, Nikolaos Bakalos, Andreas Varvarigos, Anastasios Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation. ISVC (1) 2023: 199-209 - [c189]Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Eftychios Protopapadakis, Maria Kaselimi, Anastasios Doulamis, Nikolaos Doulamis:
Investigating the Impact of a Low-Rank Tensor-Based Approach on Deforestation Imagery. ISVC (1) 2023: 501-512 - [c188]Ioannis Kavouras, Ioannis Rallis, Nikolaos Doulamis, Anastasios D. Doulamis:
Dynamically tangible cultural heritage monitoring from web video sources. PETRA 2023: 610-616 - [c187]Sotiris Messinis, Nicholas E. Protonotarios, Ioannis N. Tzortzis, Ioannis Rallis, Dimitrios Kalogeras, Nikolaos Doulamis:
Lightweight machine learning for privacy-preserving and secure networked medical devices: The SEPTON project use cases. PETRA 2023: 638-644 - [c186]Ioannis N. Tzortzis, Stavros Sykiotis, Ioannis Rallis, Nikolaos Doulamis:
An integrated framework for classifying mammograms according to BIRADS scale and breast tissue density. PETRA 2023: 728-731 - [c185]Nikolaos Chrysogonos, Kyriakos Lampropoulos, Ioannis N. Tzortzis, Charalampos Zafeiropoulos, Anastasios Doulamis, Nikolaos Doulamis:
Evaluating the Effectiveness of Unsupervised and Supervised Techniques for Identifying Deteriorations on Cultural Heritage Monuments Using Hyper-spectral Imagery. TMM_CH 2023: 114-124 - [i25]Georgia Papacharalampous, Hristos Tyralis, Anastasios D. Doulamis, Nikolaos Doulamis:
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale. CoRR abs/2301.01214 (2023) - [i24]Georgia Papacharalampous, Hristos Tyralis, Anastasios D. Doulamis, Nikolaos Doulamis:
Comparison of machine learning algorithms for merging gridded satellite and earth-observed precipitation data. CoRR abs/2301.01252 (2023) - [i23]Hristos Tyralis, Georgia Papacharalampous, Nikolaos D. Doulamis, Anastasios D. Doulamis:
Merging satellite and gauge-measured precipitation using LightGBM with an emphasis on extreme quantiles. CoRR abs/2302.03606 (2023) - [i22]Iason Katsamenis, Eftychios Protopapadakis, Nikolaos Bakalos, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation. CoRR abs/2303.01582 (2023) - [i21]Georgia Papacharalampous, Hristos Tyralis, Nikolaos D. Doulamis, Anastasios D. Doulamis:
Ensemble learning for blending gridded satellite and gauge-measured precipitation data. CoRR abs/2307.06840 (2023) - [i20]Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis, Anastasios Doulamis:
Machine learning for uncertainty estimation in fusing precipitation observations from satellites and ground-based gauges. CoRR abs/2311.07511 (2023) - 2022
- [j80]Anastasios Temenos, Ioannis N. Tzortzis, Maria Kaselimi, Ioannis Rallis, Anastasios D. Doulamis, Nikolaos Doulamis:
Novel Insights in Spatial Epidemiology Utilizing Explainable AI (XAI) and Remote Sensing. Remote. Sens. 14(13): 3074 (2022) - [j79]Stavros Sykiotis, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis:
ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring. Sensors 22(8): 2926 (2022) - [j78]Ioannis Kavouras, Maria Kaselimi, Eftychios Protopapadakis, Nikolaos Bakalos, Nikolaos Doulamis, Anastasios D. Doulamis:
COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level. Sensors 22(10): 3658 (2022) - [j77]Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios D. Doulamis:
Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring. Sensors 22(15): 5872 (2022) - [j76]Maria Kaselimi, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios D. Doulamis, Demitris Delikaraoglou:
Deep Recurrent Neural Networks for Ionospheric Variations Estimation Using GNSS Measurements. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [c184]Stavros Sykiotis, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis:
An Efficient Deep Bidirectional Transformer Model for Energy Disaggregation. EUSIPCO 2022: 1536-1540 - [c183]Parisis Gallos, Andreas Menychtas, Christos Panagopoulos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios D. Doulamis, Emmanuel Sardis, Manthos Bimpas, Maria Kaselimi, Ilias Maglogiannis:
Designing a Cloud Based Platform for Monitoring Well-Being and Public Health in Areas with Natural Based Solutions. FABULOUS 2022: 95-102 - [c182]Parisis Gallos, Andreas Menychtas, Christos Panagopoulos, Maria Kaselimi, Anastasios Temenos, Ioannis Rallis, Anastasios D. Doulamis, Nikolaos Doulamis, Manthos Bimpas, Aikaterini Aggeli, Eftychios Protopapadakis, Emmanuel Sardis, Ilias Maglogiannis:
Using mHealth Technologies to Promote Public Health and Well-Being in Urban Areas with Blue-Green Solutions. ICIMTH 2022: 566-569 - [c181]Ioannis N. Tzortzis, Ioannis Rallis, Konstantinos Makantasis, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
Automatic Inspection of Cultural Monuments Using Deep and Tensor-Based Learning on Hyperspectral Imagery. ICIP 2022: 3136-3140 - [c180]Anastasios Temenos, Maria Kaselimi, Ioannis N. Tzortzis, Ioannis Rallis, Anastasios D. Doulamis, Nikolaos Doulamis:
Spatio-Temporal Interpretation of The Covid-19 Risk Factors Using Explainable Ai. IGARSS 2022: 7705-7708 - [c179]Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos, Nikolaos Doulamis, Dimitris Kalogeras, Aikaterini Angeli:
Transferability Limitations for Covid 3D Localization Using SARS-CoV-2 Segmentation Models in 4D CT Images. ISVC (2) 2022: 320-331 - [c178]Nikolaos Bakalos, Nikolaos Doulamis, Anastasios D. Doulamis, Konstantinos Makantasis:
Multi-property Tensor-Based Learning for Abnormal Event Detection. ISVC (1) 2022: 325-335 - [c177]Parisis Gallos, Andreas Menychtas, Christos Panagopoulos, Maria Kaselimi, Ioannis Rallis, Anastasios D. Doulamis, Nikolaos Doulamis, Manthos Bimpas, Aikaterini Aggeli, Eftychios Protopapadakis, Emmanuel Sardis, Ilias Maglogiannis:
Pervasive Monitoring of Public Health and Well-Being in Urban Areas with Blue-Green Solutions. MIE 2022: 939-940 - [c176]Ioannis Kavouras, Ioannis Rallis, Anastasios D. Doulamis, Nikolaos Doulamis:
Evaluating the Feasibility of Fast Game Development Using Open Source Tools and AI Algorithms. NiDS 2022: 124-133 - [c175]Iason Katsamenis, Agapi Davradou, Eleni Eirini Karolou, Eftychios Protopapadakis, Anastasios D. Doulamis, Nikolaos Doulamis, Dimitris Kalogeras:
Evaluating YOLO Transferability Limitation for Road Infrastructures Monitoring. NiDS 2022: 349-358 - [c174]Iason Katsamenis, Eleni Eirini Karolou, Agapi Davradou, Eftychios Protopapadakis, Anastasios D. Doulamis, Nikolaos Doulamis, Dimitris Kalogeras:
TraCon: A Novel Dataset for Real-Time Traffic Cones Detection Using Deep Learning. NiDS 2022: 382-391 - [c173]Agapi Davradou, Eftychios Protopapadakis, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis:
Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques. PETRA 2022: 83-88 - [c172]Ioannis Rallis, Yannis Markoulidakis, Ioannis Georgoulas, George Kopsiaftis, Maria Kaselimi, Nikolaos D. Doulamis, Anastasios D. Doulamis:
Interpretation of net promoter score attributes using explainable AI. PETRA 2022: 113-117 - [c171]Ioannis N. Tzortzis, Agapi Davradou, Eftychios Protopapadakis, Maria Kaselimi, Nikolaos Doulamis, Aikaterini Angeli, Andreas Lazaris:
Unsupervised diabetic foot monitoring techniques. PETRA 2022: 608-614 - [c170]Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos, Nikolaos Doulamis, Dimitris Kalogeras, Aikaterini Angeli:
Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2 segmentation models. PETRA 2022: 615-621 - [c169]Iason Katsamenis, Matthaios Bimpas, Eftychios Protopapadakis, Charalampos Zafeiropoulos, Dimitris Kalogeras, Anastasios D. Doulamis, Nikolaos Doulamis, Carlos Martín-Portugués Montoliu, Yannis Handanos, Franziska Schmidt, Lionel Ott, Miquel Cantero, Rafael Lopez:
Robotic Maintenance of Road Infrastructures: The HERON Project. PETRA 2022: 628-635 - [c168]Stavros Sykiotis, Ioannis N. Tzortzis, Aikaterini Angeli, Nikolaos Doulamis, Dimitrios Kalogeras:
A deep-learning based diagnostic framework for Breast Cancer. PETRA 2022: 641-645 - [i19]Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos, Nikolaos Doulamis, Dimitris Kalogeras, Aikaterini Angeli:
Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2 segmentation models. CoRR abs/2205.02152 (2022) - [i18]Iason Katsamenis, Matthaios Bimpas, Eftychios Protopapadakis, Charalampos Zafeiropoulos, Dimitris Kalogeras, Anastasios D. Doulamis, Nikolaos Doulamis, Carlos Martín-Portugués Montoliu, Yannis Handanos, Franziska Schmidt, Lionel Ott, Miquel Cantero, Rafael Lopez:
Robotic Maintenance of Road Infrastructures: The HERON Project. CoRR abs/2205.04164 (2022) - [i17]Iason Katsamenis, Eleni Eirini Karolou, Agapi Davradou, Eftychios Protopapadakis, Anastasios D. Doulamis, Nikolaos Doulamis, Dimitris Kalogeras:
TraCon: A novel dataset for real-time traffic cones detection using deep learning. CoRR abs/2205.11830 (2022) - [i16]Maria Kaselimi, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios D. Doulamis:
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring. CoRR abs/2207.02009 (2022) - [i15]Ioannis N. Tzortzis, Ioannis Rallis, Konstantinos Makantasis, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
Automatic inspection of cultural monuments using deep and tensor-based learning on hyperspectral imagery. CoRR abs/2207.02163 (2022) - [i14]Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Bakalos, Nikolaos Doulamis, Dimitris Kalogeras, Aikaterini Angeli:
Transferability limitations for Covid 3D Localization Using SARS-CoV-2 segmentation models in 4D CT images. CoRR abs/2208.08343 (2022) - [i13]Agapi Davradou, Eftychios Protopapadakis, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis:
Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques. CoRR abs/2209.09880 (2022) - [i12]Stavros Sykiotis, Christoforos Menos-Aikateriniadis, Anastasios D. Doulamis, Nikolaos Doulamis, Pavlos S. Georgilakis:
Solar Power driven EV Charging Optimization with Deep Reinforcement Learning. CoRR abs/2211.09479 (2022) - 2021
- [j75]Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios D. Doulamis, Nikolaos Doulamis:
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification. IEEE Access 9: 58609-58620 (2021) - [j74]Eftychios Protopapadakis, Anastasios D. Doulamis, Nikolaos Doulamis, Evangelos Maltezos:
Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery. Remote. Sens. 13(3): 371 (2021) - [j73]Athanasios Voulodimos, Eftychios Protopapadakis, Iason Katsamenis, Anastasios D. Doulamis, Nikolaos Doulamis:
A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images. Sensors 21(6): 2215 (2021) - [j72]Ioannis Rallis, Nikolaos Bakalos, Nikolaos Doulamis, Anastasios D. Doulamis, Athanasios Voulodimos:
Bidirectional long short-term memory networks and sparse hierarchical modeling for scalable educational learning of dance choreographies. Vis. Comput. 37(1): 47-62 (2021) - [c167]Maria Kaselimi, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios D. Doulamis, Eftychios Protopapadakis:
A Robust to Noise Adversarial Recurrent Model for Non-Intrusive Load Monitoring. ICASSP 2021: 3335-3339 - [c166]Maria Kaselimi, Nikolaos Doulamis, Athanasios Voulodimos, Anastasios D. Doulamis, Demitris Delikaraoglou:
Spatio-Temporal Ionospheric TEC Prediction Using a Deep CNN-GRU Model on GNSS Measurements. IGARSS 2021: 8317-8320 - [c165]Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Ioannis Rallis, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios D. Doulamis:
Evaluating the Usefulness of Unsupervised Monitoring in Cultural Heritage Monuments. NiDS 2021: 137-146 - [c164]George Kopsiaftis, Ioannis Georgoulas, Ioannis Rallis, Ioannis Markoulidakis, Kostis E. Tzanettis, Michael Sfakianos, Nikolaos Doulamis:
Application Programming Interface for a Customer Experience Analysis Tool. NiDS 2021: 191-194 - [c163]Charalampos Zafeiropoulos, Matthaios Bimpas, Eftychios Protopapadakis, Emmanuel Sardis, Nikolaos Doulamis, Anastasios D. Doulamis, Cedo Maksimovic, Stanislava Boskovic, Ranko Bozovic, Maja Lalic:
An Introduction to the euPOLIS Project. NiDS 2021: 197-206 - [c162]Ioannis Kavouras, Eftychios Protopapadakis, Maria Kaselimi, Emmanuel Sardis, Nikolaos Doulamis:
Assessing the Lockdown Effects on Air Quality During COVID-19 Era. NiDS 2021: 207-216 - [c161]Nikolaos Bakalos, Iason Katsamenis, Eleni Eirini Karolou, Nikolaos Doulamis:
Unsupervised Man Overboard Detection Using Thermal Imagery and Spatiotemporal Autoencoders. NiDS 2021: 256-263 - [c160]Ioannis Kavouras, Maria Kaselimi, Eftychios Protopapadakis, Nikolaos Doulamis:
Machine Learning Tools to Assess the Impact of COVID-19 Civil Measures in Atmospheric Pollution. PETRA 2021: 396-403 - [c159]Athanasios Voulodimos, Eftychios Protopapadakis, Iason Katsamenis, Anastasios D. Doulamis, Nikolaos Doulamis:
Deep learning models for COVID-19 infected area segmentation in CT images. PETRA 2021: 404-411 - [c158]Nikolaos Bakalos, Maria Kaselimi, Anastasios D. Doulamis, Nikolaos Doulamis:
Bioinformatics systems for monitoring and mitigating epidemics: The STAMINA Paradigm. PETRA 2021: 426-430 - [i11]Konstantinos Makantasis, Alexandros Georgogiannis, Athanasios Voulodimos, Ioannis Georgoulas, Anastasios D. Doulamis, Nikolaos Doulamis:
Rank-R FNN: A Tensor-Based Learning Model for High-Order Data Classification. CoRR abs/2104.05048 (2021) - [i10]Ioannis Kavouras, Eftychios Protopapadakis, Maria Kaselimi, Emmanuel Sardis, Nikolaos Doulamis:
Assessing the Lockdown Effects on Air Quality during COVID-19 Era. CoRR abs/2106.13750 (2021) - [i9]Charalampos Zafeiropoulos, Ioannis N. Tzortzis, Ioannis Rallis, Eftychios Protopapadakis, Nikolaos D. Doulamis, Anastasios D. Doulamis:
Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments. CoRR abs/2107.00964 (2021) - 2020
- [j71]Nikolaos Bakalos, Ioannis Rallis, Nikolaos Doulamis, Anastasios D. Doulamis, Athanasios Voulodimos, Vassilios Vescoukis:
Motion Primitives Classification Using Deep Learning Models for Serious Game Platforms. IEEE Computer Graphics and Applications 40(4): 26-38 (2020) - [j70]Athanasios Voulodimos, Ioannis Rallis, Nikolaos Doulamis:
Physics-based keyframe selection for human motion summarization. Multim. Tools Appl. 79(5-6): 3243-3259 (2020) - [j69]Maria Kaselimi, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios D. Doulamis, Demitris Delikaraoglou:
A Causal Long Short-Term Memory Sequence to Sequence Model for TEC Prediction Using GNSS Observations. Remote. Sens. 12(9): 1354 (2020) - [j68]Maria Kaselimi, Nikolaos Doulamis, Athanasios Voulodimos, Eftychios Protopapadakis, Anastasios D. Doulamis:
Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models. IEEE Trans. Smart Grid 11(4): 3054-3067 (2020) - [c157]Nikolaos Bakalos, Athanasios Voulodimos, Nikolaos Doulamis, Anastasios D. Doulamis, Kassiani Papasotiriou, Matthaios Bimpas:
Fusing RGB and Thermal Imagery with Channel State Information for Abnormal Activity Detection Using Multimodal Bidirectional LSTM. CPS4CIP 2020: 77-86 - [c156]Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios D. Doulamis:
EnerGAN: A GENERATIVE ADVERSARIAL NETWORK FOR ENERGY DISAGGREGATION. ICASSP 2020: 1578-1582 - [c155]Nikolaos Bakalos, Ioannis Rallis, Nikolaos D. Doulamis, Anastasios D. Doulamis, Athanasios Voulodimos, Eftychios Protopapadakis:
Adaptive Convolutionally Enchanced Bi-Directional Lstm Networks For Choreographic Modeling. ICIP 2020: 1826-1830 - [c154]Konstantinos Makantasis, Athanasios Voulodimos, Anastasios D. Doulamis, Nikolaos Bakalos, Nikolaos Doulamis:
Space-Time Domain Tensor Neural Networks: An Application on Human Pose Classification. ICPR 2020: 4688-4695 - [c153]Iason Katsamenis, Eftychios Protopapadakis, Anastasios D. Doulamis, Nikolaos Doulamis, Athanasios Voulodimos:
Pixel-Level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation. ISVC (1) 2020: 160-169 - [c152]Eftychios Protopapadakis, Anastasios D. Doulamis, Nikolaos Doulamis, Evangelos Maltezos:
Semi-supervised Fine-Tuning for Deep Learning Models in Remote Sensing Applications. ISVC (1) 2020: 719-730 - [c151]Eftychios Protopapadakis, Anastasia Garbi, Anna Malamou, Maria Kaselimi, Zisis Pontikas, Anastasios D. Doulamis, Nikolaos Doulamis, Kostas Vasilakis, Nassos Michas, Emmanouel Alexakis:
Creating a Baseline for Robust Energy Savings Estimation in Households. PCI 2020: 131-134 - [c150]Iason Katsamenis, Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios D. Doulamis, Nikolaos Doulamis:
Transfer Learning for COVID-19 Pneumonia Detection and Classification in Chest X-ray Images. PCI 2020: 170-174 - [c149]Ioannis Markoulidakis, George Kopsiaftis, Ioannis Rallis, Ioannis Georgoulas, Anastasios D. Doulamis, Nikolaos Doulamis:
Confusion Matrix Analysis for NPS. PCI 2020: 192-196 - [c148]Anastasios D. Doulamis, Nikolaos Doulamis, Aikaterini Angeli:
A cost -effective photonics-based device for early prediction, monitoring and management of diabetic foot ulcers. PETRA 2020: 63:1-63:8 - [c147]Maria Kaselimi, Nikolaos Doulamis:
Long-term recurrent convolutional networks for non-intrusive load monitoring. PETRA 2020: 64:1-64:4 - [p4]