GNSSGET and GNSSPLOT Platforms - Matlab GUIs for Retrieving GNSS Products and Visualizing GNSS Solutions. - Maria Kaselimi; Nikolaos Doulamis; Demitris Delikaraoglou; Eftychios Protopapadakis (VISIGRAPP (5: VISAPP), 2018)

Bayesian-optimized Bidirectional LSTM Regression Model for Non-intrusive Load Monitoring. - Maria Kaselimi; Nikolaos Doulamis; Anastasios D. Doulamis; Athanasios Voulodimos; Eftychios Protopapadakis (ICASSP, 2019)

Non-Intrusive Load Monitoring for Personalized Strategies Towards Energy Consumption Reduction. - Eftychios Protopapadakis; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis (SMAP, 2019)

Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation. - Maria Kaselimi; Eftychios Protopapadakis; Athanasios Voulodimos; Nikolaos Doulamis; Anastasios D. Doulamis (IEEE Access, 2019)

EnerGAN: A GENERATIVE ADVERSARIAL NETWORK FOR ENERGY DISAGGREGATION. - Maria Kaselimi; Athanasios Voulodimos; Eftychios Protopapadakis; Nikolaos Doulamis; Anastasios D. Doulamis (ICASSP, 2020)

Creating a Baseline for Robust Energy Savings Estimation in Households. - Eftychios Protopapadakis; Anastasia Garbi; Anna Malamou; Maria Kaselimi; Zisis Pontikas; Anastasios D. Doulamis; Nikolaos Doulamis; Kostas Vasilakis; Nassos Michas; Emmanouel Alexakis (PCI, 2020)

Long-term recurrent convolutional networks for non-intrusive load monitoring. - Maria Kaselimi; Nikolaos Doulamis (PETRA, 2020)

A Causal Long Short-Term Memory Sequence to Sequence Model for TEC Prediction Using GNSS Observations. - Maria Kaselimi; Athanasios Voulodimos; Nikolaos Doulamis; Anastasios D. Doulamis; Demitris Delikaraoglou (Remote. Sens., 2020)

Context Aware Energy Disaggregation Using Adaptive Bidirectional LSTM Models. - Maria Kaselimi; Nikolaos Doulamis; Athanasios Voulodimos; Eftychios Protopapadakis; Anastasios D. Doulamis (IEEE Trans. Smart Grid, 2020)

A Robust to Noise Adversarial Recurrent Model for Non-Intrusive Load Monitoring. - Maria Kaselimi; Athanasios Voulodimos; Nikolaos Doulamis; Anastasios D. Doulamis; Eftychios Protopapadakis (ICASSP, 2021)

Spatio-Temporal Ionospheric TEC Prediction Using a Deep CNN-GRU Model on GNSS Measurements. - Maria Kaselimi; Nikolaos Doulamis; Athanasios Voulodimos; Anastasios D. Doulamis; Demitris Delikaraoglou (IGARSS, 2021)

Assessing the Lockdown Effects on Air Quality During COVID-19 Era. - Ioannis Kavouras; Eftychios Protopapadakis; Maria Kaselimi; Emmanuel Sardis; 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)

Machine Learning Tools to Assess the Impact of COVID-19 Civil Measures in Atmospheric Pollution. - Ioannis Kavouras; Maria Kaselimi; Eftychios Protopapadakis; Nikolaos Doulamis (PETRA, 2021)

Machine learning methods for modelling and analysis of time series signals in geoinformatics. - Maria Kaselimi (CoRR, 2021)

Machine learning methods for modelling and analysis of time series signals in geoinformatics - Maria Kaselimi (2021)

An Efficient Deep Bidirectional Transformer Model for Energy Disaggregation. - Stavros Sykiotis; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis (EUSIPCO, 2022)

Designing a Cloud Based Platform for Monitoring Well-Being and Public Health in Areas with Natural Based Solutions. - Parisis Gallos; Andreas Menychtas; Christos Panagopoulos; Eftychios Protopapadakis; Nikolaos Doulamis; Anastasios D. Doulamis; Emmanuel Sardis; Manthos Bimpas; Maria Kaselimi; Ilias Maglogiannis (FABULOUS, 2022)

Using mHealth Technologies to Promote Public Health and Well-Being in Urban Areas with Blue-Green Solutions. - 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; et al. (ICIMTH, 2022)

Spatio-Temporal Interpretation of The Covid-19 Risk Factors Using Explainable Ai. - Anastasios Temenos; Maria Kaselimi; Ioannis N. Tzortzis; Ioannis Rallis; Anastasios D. Doulamis; Nikolaos Doulamis (IGARSS, 2022)

Pervasive Monitoring of Public Health and Well-Being in Urban Areas with Blue-Green Solutions. - 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 (MIE, 2022)

A First Approach using Graph Neural Networks on Non-Intrusive-Load-Monitoring. - Sotirios Athanasoulias; Stavros Sykiotis; Maria Kaselimi; Eftychios Protopapadakis; Nikolaos Ipiotis (PETRA, 2022)

Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques. - Agapi Davradou; Eftychios Protopapadakis; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis (PETRA, 2022)

Interpretation of net promoter score attributes using explainable AI. - Ioannis Rallis; Yannis Markoulidakis; Ioannis Georgoulas; George Kopsiaftis; Maria Kaselimi; Nikolaos D. Doulamis; Anastasios D. Doulamis (PETRA, 2022)

Unsupervised diabetic foot monitoring techniques. - Ioannis N. Tzortzis; Agapi Davradou; Eftychios Protopapadakis; Maria Kaselimi; Nikolaos Doulamis; Aikaterini Angeli; Andreas Lazaris (PETRA, 2022)

Novel Insights in Spatial Epidemiology Utilizing Explainable AI (XAI) and Remote Sensing. - Anastasios Temenos; Ioannis N. Tzortzis; Maria Kaselimi; Ioannis Rallis; Anastasios D. Doulamis; Nikolaos Doulamis (Remote. Sens., 2022)

Towards Trustworthy Energy Disaggregation: A Review of Challenges, Methods, and Perspectives for Non-Intrusive Load Monitoring. - Maria Kaselimi; Eftychios Protopapadakis; Athanasios Voulodimos; Nikolaos Doulamis; Anastasios D. Doulamis (Sensors, 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)

ELECTRIcity: An Efficient Transformer for Non-Intrusive Load Monitoring. - Stavros Sykiotis; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis (Sensors, 2022)

Deep Recurrent Neural Networks for Ionospheric Variations Estimation Using GNSS Measurements. - Maria Kaselimi; Athanasios Voulodimos; Nikolaos Doulamis; Anastasios D. Doulamis; Demitris Delikaraoglou (IEEE Trans. Geosci. Remote. Sens., 2022)

Site Diversity Switching Prediction AT Q Band Using Deep Learning Techniques in Satellite Communications. - Maria Kaselimi; Anargyros J. Roumeliotis; Apostolos Z. Papafragkakis; Athanasios D. Panagopoulos; Nikolaos D. Doulamis (ICASSP Workshops, 2023)

Continilm: A Continual Learning Scheme for Non-Intrusive Load Monitoring. - Stavros Sykiotis; Maria Kaselimi; Anastasios Doulamis; Nikolaos Doulamis (ICASSP, 2023)

Multi-Spectral Band Selection and Spatial Explanations Using XAI Algorithms in Remote Sensing Applications. - Anastasios Temenos; Nikos Temenos; Maria Kaselimi; Anastasios Doulamis; Nikolaos Doulamis (IGARSS, 2023)

Investigating the Impact of a Low-Rank Tensor-Based Approach on Deforestation Imagery. - Charalampos Zafeiropoulos; Ioannis N. Tzortzis; Eftychios Protopapadakis; Maria Kaselimi; Anastasios Doulamis; Nikolaos Doulamis (ISVC (1), 2023)

Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP. - Anastasios Temenos; Nikos Temenos; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis (IEEE Geosci. Remote. Sens. Lett., 2023)

A Vision Transformer Model for Convolution-Free Multilabel Classification of Satellite Imagery in Deforestation Monitoring. - Maria Kaselimi; Athanasios Voulodimos; Ioannis Daskalopoulos; Nikolaos Doulamis; Anastasios D. Doulamis (IEEE Trans. Neural Networks Learn. Syst., 2023)

Performance-Aware NILM Model Optimization for Edge Deployment. - Stavros Sykiotis; Sotirios Athanasoulias; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis; Lina Stankovic; Vladimir Stankovic 001 (IEEE Trans. Green Commun. Netw., 2023)

Varying the Context to Advance Affect Modelling: A Study on Game Engagement Prediction. - Kosmas Pinitas; Nemanja Rasajski; Matthew Barthet; Maria Kaselimi; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (ACII, 2024)

Satellite Channel Excess Attenuation Prediction at Ka Band Using Deep Learning Models and Rainfall Rate Data. - Maria Kaselimi; Anargyros J. Roumeliotis; Apostolos Z. Papafragkakis; Athanasios D. Panagopoulos; Nikolaos D. Doulamis (IGARSS, 2024)

GameVibe: A Multimodal Affective Game Corpus. - Matthew Barthet; Maria Kaselimi; Kosmas Pinitas; Konstantinos Makantasis; Antonios Liapis; Georgios N. Yannakakis (CoRR, 2024)

OPT-NILM: An Iterative Prior-to-Full-Training Pruning Approach for Cost-Effective User Side Energy Disaggregation. - Sotirios Athanasoulias; Stavros Sykiotis; Maria Kaselimi; Anastasios Doulamis; Nikolaos Doulamis; Nikolaos Ipiotis (IEEE Trans. Consumer Electron., 2024)

Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors. - Niels Justesen; Maria Kaselimi; Sam Snodgrass; Miruna Vozaru; Matthew Schlegel; Jonas Wingren; Gabriella A. B. Barros; Tobias Mahlmann; Shyam Sudhakaran; Wesley Kerr; Albert Wang; Christoffer Holmgård; et al. (CoRR, 2025)