Extraction of key postures from 3D human motion data for choreography summarization. - Ioannis Rallis; Ioannis Georgoulas; Nikolaos Doulamis; Athanasios Voulodimos; Panagiotis Terzopoulos (VS-GAMES, 2017)

Hierarchical Sparse Modeling for Representative Selection in Choreographic Time Series. - Ioannis Rallis; Nikolaos Doulamis; Athanasios Voulodimos; Anastasios D. Doulamis (ICIP, 2018)

Kinematics-based Extraction of Salient 3D Human Motion Data for Summarization of Choreographic Sequences. - Athanasios Voulodimos; Nikolaos Doulamis; Anastasios D. Doulamis; Ioannis Rallis (ICPR, 2018)

An Embodied Learning Game Using Kinect and Labanotation for Analysis and Visualization of Dance Kinesiology. - Ioannis Rallis; Apostolos Langis; Ioannis Georgoulas; Athanasios Voulodimos; Nikolaos Doulamis; Anastasios D. Doulamis (VS-GAMES, 2018)

Spatio-temporal summarization of dance choreographies. - Ioannis Rallis; Nikolaos Doulamis; Anastasios D. Doulamis; Athanasios Voulodimos; Vassilios Vescoukis (Comput. Graph., 2018)

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)

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)

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)

Confusion Matrix Analysis for NPS. - Ioannis Markoulidakis; George Kopsiaftis; Ioannis Rallis; Ioannis Georgoulas; Anastasios D. Doulamis; Nikolaos Doulamis (PCI, 2020)

A novel classification method for customer experience survey analysis. - Ioannis Rallis; Ioannis Markoulidakis; Ioannis Georgoulas; George Kopsiaftis (PETRA, 2020)

R2D2: A Dbpedia Chatbot Using Triple-Pattern Like Queries. - Haridimos Kondylakis; Dimitrios Tsirigotakis; Giorgos Fragkiadakis; Emmanouela Panteri; Alexandros Papadakis; Alexandros Fragkakis; Eleytherios Tzagkarakis; Ioannis Rallis; Zacharias Saridakis; Apostolos Trampas; Giorgos Pirounakis; Nikolaos Papadakis (Algorithms, 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)

Physics-based keyframe selection for human motion summarization. - Athanasios Voulodimos; Ioannis Rallis; Nikolaos Doulamis (Multim. Tools Appl., 2020)

Application Programming Interface for a Customer Experience Analysis Tool. - George Kopsiaftis; Ioannis Georgoulas; Ioannis Rallis; Ioannis Markoulidakis; Kostis E. Tzanettis; Michael Sfakianos; Nikolaos Doulamis (NiDS, 2021)

Evaluating the Usefulness of Unsupervised Monitoring in Cultural Heritage Monuments. - Charalampos Zafeiropoulos; Ioannis N. Tzortzis; Ioannis Rallis; Eftychios Protopapadakis; Nikolaos Doulamis; Anastasios D. Doulamis (NiDS, 2021)

Multi-Class Confusion Matrix Reduction method and its application on Net Promoter Score classification problem. - Ioannis Markoulidakis; George Kopsiaftis; Ioannis Rallis; Ioannis Georgoulas (PETRA, 2021)

Scientific Architecture of the Educational Toolkit of the Project EDICULA. - Antonia I. Moropoulou; Kyriakos Lampropoulos; Ioannis Rallis; Anastasios Doulamis (TMM_CH, 2021)

Cultural-Oriented Mobile Game Application and the Gamification of Tourism. - Ioannis Rallis; George Kopsiaftis; Ilias Kalisperakis; Christos Stentoumis; Dimitris Koutsomitsos; Vivian Riga (TMM_CH, 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)

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)

Automatic Inspection of Cultural Monuments Using Deep and Tensor-Based Learning on Hyperspectral Imagery. - Ioannis N. Tzortzis; Ioannis Rallis; Konstantinos Makantasis; Anastasios D. Doulamis; Nikolaos Doulamis; Athanasios Voulodimos (ICIP, 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)

Evaluating the Feasibility of Fast Game Development Using Open Source Tools and AI Algorithms. - Ioannis Kavouras; Ioannis Rallis; Anastasios D. Doulamis; Nikolaos Doulamis (NiDS, 2022)

Use of Photogrammetry in a Business Simulation Game. - Ilias Kalisperakis; George Kopsiaftis; Ioannis Rallis; Christos Stentoumis; Anisa Kouka; Vivian Riga; Dimitris Koutsomitsos (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)

A holistic monitoring scheme for road infrastructures. - Charalampos Zafeiropoulos; Eftychios Protopapadakis; Akrivi Chatzidaki; Anastasios D. Doulamis; Dimitrios Vamvatsikos; Nikos Zotos; George Bogdos; Antonis Kostaridis; Franziska Schmidt; Silvia Ientile; Irèe Sevilla; Sofia Tilon; et al. (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)

A Framework for Biodiversity Image Analysis using Machine Learning and Crowdsourcing Knowledge. - Loukas Chatzivasili; Georgia Charalambous; Maria Papoutsoglou 001; Georgia M. Kapitsaki; Ioustina Harasim; Eva Chatzinikolaou; Georgia Sarafidou; Ioannis Rallis; Markos Digenis (EDBT/ICDT Workshops, 2023)

Dynamically tangible cultural heritage monitoring from web video sources. - Ioannis Kavouras; Ioannis Rallis; Nikolaos Doulamis; Anastasios D. Doulamis (PETRA, 2023)

Lightweight machine learning for privacy-preserving and secure networked medical devices: The SEPTON project use cases. - Sotiris Messinis; Nicholas E. Protonotarios; Ioannis N. Tzortzis; Ioannis Rallis; Dimitrios Kalogeras; Nikolaos Doulamis (PETRA, 2023)

An integrated framework for classifying mammograms according to BIRADS scale and breast tissue density. - Ioannis N. Tzortzis; Stavros Sykiotis; Ioannis Rallis; Nikolaos Doulamis (PETRA, 2023)

Development of a Support System for Improved Resilience and Sustainable Urban Areas to Cope with Climate Change and Extreme Events Based on GEOSS and Advanced Modelling Tools. - Charalampos Zafeiropoulos; Ioannis N. Tzortzis; Ioannis Rallis; Anastasios Doulamis (TMM_CH, 2023)

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)

Automated Detection and Categorization of River Islets Using Sentinel 2 Images. - Thodoris Betsas; Ioannis Rallis; Anastasios Doulamis; Nikolaos Doulamis; Andreas Georgopoulos (IGARSS, 2024)

Identifying False Negative Flood Events Using Interpretable Deep Learning Framework. - Anastasios Temenos; Nikos Temenos; Ioannis Rallis; Margarita Skamantzari; Anastasios Doulamis; Nikolaos Doulamis (IGARSS, 2024)

Community-driven Smart EV charging With Multi-Agent Deep Reinforcement Learning. - Stavros Sykiotis; Sotirios Athanasoulias; Nikolaos Temenos; Ioannis Rallis; Anastasios Doulamis; Nikolaos Doulamis (IJCNN, 2024)

Multi-scale Intervention Planning Based on Generative Design. - Ioannis Kavouras; Ioannis Rallis; Emmanuel Sardis; Eftychios Protopapadakis; Anastasios Doulamis; Nikolaos Doulamis (ITS (2), 2024)

Zeekflow+: A Deep LSTM Autoencoder with Integrated Random Forest Classifier for Binary and Multi-class Classification in Network Traffic Data. - Emmanouil Arapidis; Nikos Temenos; Dimitris Giagkos; Ioannis Rallis; Dimitris Kalogeras; Nikolaos Papadakis; Antonis Litke; Sotirios Messinis (PETRA, 2024)

A Deep Learning Framework for Segmentation of Road Defects Using ResUNet-a. - Iason Katsamenis; George Kopsiaftis; Athanasios Voulodimos; Ioannis Rallis; Ioannis Georgoulas; Charalampos Zafeiropoulos; Anastasios Doulamis (PETRA, 2024)

Ocean-DC: An analysis ready data cube framework for environmental and climate change monitoring over the port areas. - Ioannis Kavouras; Ioannis Rallis; Nikolaos Doulamis; Anastasios Doulamis (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)

Quantifying the Impact of Nature based Interventions on Citizen Health and Well-being. - Eftychios Protopapadakis; Parisis Gallos; Stelios Kalogridis; Theodora Karali; Eirini Marinou; Emmanuel Sardis; Sotiria Baki; Elsa Katsorida; Ioannis Rallis (PETRA, 2024)

A Way Forward for the MDCG 2019-16 Medical Device Security Guidance. - Steve Taylor 002; Martin Gilje Jaatun; Karin Bernsmed; Christos Androutsos; Dietmar Frey; Simone Favrin; João Rodrigues; Dusko Milojevic; Dimitrios A. Karras; Ioannis Siachos; Gregory Epiphaniou; Nabil Moukafih; 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)

Enhancing Internet of Medical Things security with artificial intelligence: A comprehensive review. - Sotiris Messinis; Nikos Temenos; Nicholas E. Protonotarios; Ioannis Rallis; Dimitrios Kalogeras; Nikolaos Doulamis (Comput. Biol. Medicine, 2024)

Voting-Based Intervention Planning Using AI-Generated Images. - Ioannis Kavouras; Ioannis Rallis; Emmanuel Sardis; Anastasios Doulamis; Nikolaos Doulamis (IEEE Computer Graphics and Applications, 2025)