Publications – Multimodal Data Fusion and Analytics Group

“InSEption: A Robust Mechanism for Predicting FoG Episodes in PD Patients”

Dimoudis D, Tsolakis N, Magga-Nteve C, Meditskos G, Vrochidis S, Kompatsiaris I. "InSEption: A Robust Mechanism for Predicting FoG Episodes in PD Patients". Electronics. 2023; 12(9):2088. https://doi.org/10.3390/electronics12092088

“Ince-PD Model for Parkinson’s Disease Prediction Using MDS-UPDRS I & II and PDQ-8 Score”

Tsolakis, N., Maga-Nteve, C., Meditskos, G., Vrochidis, S., Kompatsiaris, I. (2023). "Ince-PD Model for Parkinson’s Disease Prediction Using MDS-UPDRS I & II and PDQ-8 Score". In: Maglogiannis, I., Iliadis, L., MacIntyre, J., Dominguez, M. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 675. Springer, Cham. https://doi.org/10.1007/978-3-031-34111-3_23

“CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications”

E. Raptis, K. Englezos O. Kypris, Marios Krestenitis, A. Kapoutsis, K. Ioannidis, S. Vrochidis and E. Kosmatopoulos, "CoFly: An automated, AI-based open-source platform for UAV precision agriculture applications", SoftwareX, 2023

“WQeMS Platform for Insland and Surface Water Bodies’ Monitoring: Serving User Communities and Supporting Experts’ Analyses”

G. M. Scarpino, M. Matera, P. Bauer, I. Manakos, A. Kita, K. Vlachos, A. Bozas, I. Serral, A. Moumtzidou, I. Gialampoukidis & S. Vrochidis. 2023. "WQeMS Platform for Insland and Surface Water Bodies' Monitoring: Serving User Communities and Supporting Experts' Analyses", Ninth International Conference on Remote Sensing and Geoinformation of Environmentʼ 3-5 April, 2023 - Cyprus

“Towards a Paradigm Shift on Maping Muddy Waters In Water Reservoirs With Sentinel-2 Using Machine Learning”

K. Vlachos, C. Psychalas, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis & I. Kompatsiaris. (2023). "Towards a Paradigm Shift on Maping Muddy Waters In Water Reservoirs With Sentinel-2 Using Machine Learning". Ninth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2023), Ayia Napa, Cyprus. (Poster)

Forecasting Lakes’ Chlorophyll Concentrations Using Satellite Images and Generative Adversarial Networks

Nikolaos Nagkoulis, Giorgos Vasiloudis, Anastasia Moumtzidou, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris. Forecasting Lakes’ Chlorophyll Concentrations Using Satellite Images and Generative Adversarial Networks. IEEE Geoscience and Remote Sensing Letters.

Artificial Intelligence to counter Cyber-Terrorism

S. Bianchi, M. Mancuso, C. Paternoster, G. Kalpakis, T. Tsikrika, S. Vrochidis, D. Kozhuharova, and B. Jaeger. Artificial Intelligence to counter Cyber-Terrorism. In Proceedings International Conference on Cybersecurity and Cybercrime, Vol. 10, 2023.

Tweaking EfficientDet for frugal training

Orfanidis Georgios; Ioannidis Konstantinos; Vrochidis Stefanos; Kompatsiaris Ioannis. Tweaking EfficientDet for frugal training. In Proceedings International Conference on Multimedia Retrieval 2023 (ICMR 2023), Thessaloniki, Greece, 12 - 15 June 2023

Adaptive Quality Diagnosis Framework for Production Lines in a Smart Manufacturing Environmen

A. Kyriakopoulos; Ilias Gialampoukidis; Stefanos Vrochidis; Ioannis Kompatsiaris. "Adaptive Quality Diagnosis Framework for Production Lines in a Smart Manufacturing Environment". Machines 2023, 11(4), 499; https://doi.org/10.3390/machines11040499.

Assessing Virtual Reality Spaces for Elders Using Image-Based Sentiment Analysis and Stress Level Detection

Kosti, M.V.; Georgakopoulou, N.; Diplaris, S.; Pistola, T.; Chatzistavros, K.; Xefteris, V.-R.; Tsanousa, A.; Vrochidis, S.; Kompatsiaris, I. Assessing Virtual Reality Spaces for Elders Using Image-Based Sentiment Analysis and Stress Level Detection. Sensors 2023, 23, 4130. https://doi.org/10.3390/s23084130

Flood-Related Multimedia Benchmark Evaluation: Challenges, Results and a Novel GNN Approach

Thomas Papadimos, Stelios Andreadis, Ilias Gialampoukidis, Stefanos Vrochidis, Ioannis Kompatsiaris, "Flood-Related Multimedia Benchmark Evaluation: Challenges, Results and a Novel GNN Approach", Sensors 2023, 23(7), 3767; https://doi.org/10.3390/s23073767

Mobile App Interventions for Parkinson’s Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review

Triantafyllidis A, Segkouli S, Zygouris S, Michailidou C, Avgerinakis K, Fappa E, Vassiliades S, Bougea A, Papagiannakis N, Katakis I, Mathioudis E, Sorici A, Bajenaru L, Tageo V, Camonita F, Magga-Nteve C, Vrochidis S, Pedullà L, Brichetto G, Tsakanikas P, Votis K, Tzovaras D. Mobile App Interventions for Parkinson’s Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review. Sensors. 2023; 23(7):3396. https://doi.org/10.3390/s23073396

Standardized and extensible reference data model for clinical research in Living Labs

Maga-Nteve, Christoniki & Epelde, Gorka & Hernandez, Mikel & Tsolakis, Nikos & Konstantinidis, Evdokimos & Meditskos, Georgios & Bamidis, Panagiotis & Vrochidis, Stefanos. (2022). Standardized and extensible reference data model for clinical research in Living Labs. Procedia Computer Science. 210. 165-172. 10.1016/j.procs.2022.10.133.

Towards a taxonomy for health living lab data collection devices

Petsani, D. ; Santonen, T. ; Konstantinidis, E. ; Enriquez, L. ; Petronikolou, V. ; Maga, C. ; Makroglou, S. & Bamidis, P.(2022) Towards a Taxonomy for Health Living Lab Data Collection Devices. In Leandro Bitetti, Iain Bitran, Steffen Conn, Jessica Fishburn, Eelko Huizingh, Marko Torkkeli, Jialei Yang (Eds.) Proceedings of the XXXIII ISPIM Innovation Conference

MuseHash: Supervised Bayesian Hashing for Multimodal Image Representation

M. Pegia, B. Þ. Jónsson, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, and I. Kompatsiaris. 2023. MuseHash: Super- vised Bayesian Hashing for Multimodal Image Representation. In ACM ICMR ’23: ACM International Conference on Multimedia Retrieval, June 10– 15, 2023, Thessaloniki, Greece (accepted for publication)

Forecasting Cyber-Attacks to Destination Ports Using Machine Learning

K. Loumponias, S. Raptis, E. Darra, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Forecasting Cyber-Attacks to Destination Ports Using Machine Learning", 9th International Conference on Information Systems Security and Privacy (ICISSP), 22-24 February, 2023, Lisbon, Portugal

Stress detection based on wearable physiological sensors: laboratory and real-life pilot scenario application

V.R. Xefteris, A. Tsanousa, S. Symeonidis, S. Diplaris, F. Zaffanela, M. Monego, M. Pacelli, S. Vrochids, I. Kompatsiaris, "Stress detection based on wearable physiological sensors: laboratory and real-life pilot scenario application", Stress detection based on wearable physiological sensors: laboratory and real-life pilot scenario application (SIGNAL 2023), 13-17 March, Barcelona, Spain (accepted for publication)

An Explainable Intervention Prediction for Trauma Patients

Z.Vasileiou, G.Meditskos, S.Vrochidis, N.Bassiliades, "An Explainable Intervention Prediction for Trauma Patients", Semantic Web Applications and Tools for Health Care and Life Sciences (SWAT4HCLS), 13-16 February 2023, Basel Switzerland (Poster)

Real-time Threat Assessment based on Hidden Markov Models

Theodosiadou, O.; Chatzakou, D.; Tsikrika, T.; Vrochidis, S.; Kompatsiaris, I. Real-time Threat Assessment based on Hidden Markov Models. Risk Analysis 2023 (accepted for publication).

XR4DRAMA Knowledge Graph: A Knowledge Graph for Disaster Management

Vassiliades, A., Symeonidis, S., Diplaris, S., Tzanetis, G., Vrochidis, S., Bassiliades, N. & Kompatsiaris, I., (2022). "XR4DRAMA Knowledge Graph: A Knowledge Graph for Disaster Management". In Proceedings of: 17th Internation Conference on Semantic Computing (ICSC), 1-3 February 2023, The Hills Hotel, Laguna Beach, California,USA.

Multimodal Data Collection System for UAV-based Precision Agriculture Applications

Emmanuel K. Raptis, Georgios D. Karatzinis, Marios Krestenitis, Athanasios Ch. Kapoutsis, Konstantinos Ioannidis, Stefanos Vrochidis, Ioannis Kompatsiaris and Elias B. Kosmatopoulos, "Multimodal Data Collection System for UAV-based Precision Agriculture Applications", "International Conference on Robotic Computing 2022", 2022 (accepted for publication)

End-to-end precision agriculture UAV-based functionalities tailored to field characteristics

Emmanuel K. Raptis, Marios Krestenitis, Konstantinos Egglezos, Orfeas Kypris, Konstantinos Ioannidis, Lefteris Doitsidis, Athanasios Ch. Kapoutsis, Stefanos Vrochidis, Ioannis Kompatsiaris, Elias B. Kosmatopoulos, "End-to-end precision agriculture UAV-based functionalities tailored to field characteristics", Journal of Intelligent & Robotic Systems, 2022 (accepted for publication)

The MindSpaces Knowledge Graph: Applied Logic and Semantics on Indoor and Urban Adaptive Design

Evangelos A. Stathopoulos, Alexandros Vassiliades, Sotiris Diplaris, Stefanos Vrochidis, Nick Bassiliades, & Ioannis Kompatsiaris (2023, February). The MindSpaces Knowledge Graph: Applied Logic and Semantics on Indoor and Urban Adaptive Design. In ICAART (accepted for publication)

XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning

Vassiliades, A., Symeonidis, S., Diplaris, S., Tzanetis, G., Vrochidis, S., & Kompatsiaris, I., (2022). "XR4DRAMA Knowledge Graph: A Knowledge Graph for Media Planning". In Proceedings of: 15th Internation Conference on Agents and Artificial Intelligence (ICAART), 22-24 February 2023, Lisbon, Portugal.

Artistic Neural Style Transfer using CycleGAN and FABEMD by adaptive information selection

Batziou, E., Ioannidis, K., Patras, I., Vrochidis, S., & Kompatsiaris, I. (2022). "Artistic Neural Style Transfer using CycleGAN and FABEMD by adaptive information selection". Pattern Recognition Letters. DOI:https://doi.org/10.1016/j.patrec.2022.11.026.

M4D-MKLab/ITI-CERTH Participation in TREC Deep Learning Track 2022

A-M. Koufakis, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, “M4D-MKLab/ITI-CERTH Participation in TREC Deep Learning Track 2022”, Proc. Text REtrieval Conference (TREC) 2022 Workshop, Gaithersburg, MD, USA, Nov. 2022.

ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2022

K. Gkountakos, D. Galanopoulos, D. Touska, K. Ioannidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, “ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2022”, Proc. TRECVID 2022 Workshop, Gaithersburg, MD, USA, Dec. 2022.

Fusion of multiple classifiers using self supervised learning for satellite image change detection

A. Oikonomidis, M. Pegia, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "Fusion of multiple classifiers using self supervised learning for satellite image change detection" 2023, In Proceedings of the 29th International Conference on Multimedia Modeling (MMM 2023), 9 - 12 January 2023, Bergen, Norway (accepted for poster presentation)

Graph-Based Data Association in Multiple Object Tracking: A Survey

Touska, D., Gkountakos, K., Ioannidis, K., Tsikrika, T., Vrochidis, S., Kompatsiaris, I., "Graph-Based Data Association in Multiple Object Tracking: A Survey", 2023, In Proceedings of the 29th International Conference on Multimedia Modeling (MMM 2023), 9 - 12 January 2023, Bergen, Norway (accepted for publication)

Low-light image enhancement based on U-Net and Haar wavelet pooling

Batziou, E., Ioannidis, K., Patras, I., Vrochidis, S., Kompatsiaris, I., "Low-light image enhancement based on U-Net and Haar", 2023, In Proceedings of the 29th International Conference on Multimedia Modeling (MMM 2023), 9 - 12 January 2023, Bergen, Norway (accepted for publication)

BiasUNet: Learning Change Detection over Sentinel-2 Image Pairs

M. Pegia, A. Moumtzidou, I.Gialampoukidis, B. T. Johnsson, S. Vrochidis, and I. Kompatsiaris "BiasUNet: Learning Change Detection over Sentinel-2 Image Pairs", In the proceedings of the 19th International Conference on Content-based Multimedia Indexing (CBMI 2022), 14-16 September 2022, Graz, Austria.

Comparison of deep learning techniques for video-based automatic recognition of Greek folk dances

Loupas, G., Pistola, T., Diplaris, S., Ioannidis, K., Vrochidis, S., Kompatsiaris, I., "Comparison of deep learning techniques for video-based automatic recognition of Greek folk dances", 2023, In Proceedings of the 29th International Conference on Multimedia Modeling (MMM 2023), 9 - 12 January 2023, Bergen, Norway (accepted for bublication)

V4Design: Intelligent analysis and integration of multimedia content for Creative Industries

S. Symeonidis, G. Meditskos, S. Vrochidis, K. Avgerinakis, J. Derdaele, M. Vergauwen, M. Bassier, A. Moghnieh, L. Fraguada, V. Vogler, Y. Shekhawat, L. Wanner, M. Marimon, K. Valsamidou, P. Koulali, A. Tellios, J. Wuyts, E. Lopez, "V4Design: Intelligent analysis and integration of multimedia content for Creative Industries", in IEEE Systems Journal, 2022, DOI:10.1109/JSYST.2022.3217655

Graph theoretical analysis of EEG functional connectivity patterns and fusion with physiological signals for emotion recognition

Xefteris, V.-R.; Tsanousa, A.; Georgakopoulou, N.; Diplaris, S.; Vrochidis, S.; Kompatsiaris, I. Graph Theoretical Analysis of EEG Functional Connectivity Patterns and Fusion with Physiological Signals for Emotion Recognition. Sensors 2022, 22, 8198. DOI:https://doi.org/10.3390/s22218198

Ontology-Based Personalized Job Recommendation Framework for Migrants and Refugees

Ntioudis D, Masa P, Karakostas A, Meditskos G, Vrochidis S, Kompatsiaris I. Ontology-Based Personalized Job Recommendation Framework for Migrants and Refugees. Big Data and Cognitive Computing. 2022; 6(4):120. DOI:10.3390/bdcc6040120

Automatic Visual Recognition of Unexploded Ordnances Using Supervised Deep Learning

Begkas, G., Giannakeris, P., Ioannidis, K., Kalpakis, G., Tsikrika, T., Vrochidis, S., & Kompatsiaris, I. (2022, June). Automatic Visual Recognition of Unexploded Ordnances Using Supervised Deep Learning. In Proceedings of the 2022 International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27-30, 2022 (pp. 286-294). DOI:https://doi.org/10.1145/3512527.3531383.

A survey for image based methods in construction: from images to digital twins

Koulalis, I., Dourvas, N., Triantafyllidis, T., Ioannidis, K., Vrochidis, S., & Kompatsiaris, I. "A survey for image based methods in construction: from images to digital twins", In 19th International Conference on Content-based Multimedia Indexing (CBMI 2022), Graz, Austria, 14-16 September 2022, Pages 103-110, DOI:https://doi.org/10.1145/3549555.3549594.

An early-warning system for fire spreading by monitoring simple climate conditions and combining Cellular Automata with Digital Twins

N. I. Dourvas, A. Papagianni, I. Koulalis, K. Ioannidis, S. Vrochidis and I. Kompatsiaris, "An early-warning system for fire spreading by monitoring simple climate conditions and combining Cellular Automata with Digital Twins," 2022 IEEE International Workshop on Metrology for Living Environment (MetroLivEn), 2022, pp. 252-257, DOI:10.1109/MetroLivEnv54405.2022.9826950.

Vehicle Color Identification Framework using Pixel-level Color Estimation from Segmentation Masks of Car Parts

K. Stavrothanasopoulos, K. Gkountakos, K. Ioannidis, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Vehicle Color Identification Framework using Pixel-level Color Estimation from Segmentation Masks of Car Parts". Fifth IEEE International Conference on Image Processing, Applications and Systems (IPAS 2022), 07-09 December, 2022, Genova, Italy (accepted for publication)

CoFly-WeedDB: A UAV image dataset for weed detection and species identification

Marios Krestenitis , Emmanuel K. Raptis , Athanasios Ch. Kapoutsis ,Konstantinos Ioannidis , Elias B. Kosmatopoulos , Stefanos Vrochidis , Ioannis Kompatsiaris , "CoFly-WeedDB: A UAV image dataset for weed detection and species identification", Data in Brief, December 2022, DOI:https://doi.org/10.1016/j.dib.2022.108575 (accepted for publication).

Ontology-based technologies for disaster preparedness, response and recovery

Panagiota Masa, Georgios Tzanetis, Spyridon Kintzios, Georgios Meditskos, Stefanos Vrochidis, Ioannis Kompatsiaris, "Ontology-based technologies for disaster preparedness, response and recovery", In Proceedings of the 9th International Conference on Civil Protection & New Technologies (SafeThessaloniki 2022)

The SODALITE Model-Driven Approach

Jesús Gorroñogoitia, Dragan Radolović, Zoe Vasileiou, Georgios Meditskos, Anastasios Karakostas, Stefanos Vrochidis & Michail Bachras (2022), "The SODALITE Model-Driven Approach" In Elisabetta Di Nitto, Jesús Gorroñogoitia Cruz, Indika Kumara, Dragan Radolović, Kamil Tokmakov, Zoe Vasileiou (eds), Deployment and Operation of Complex Software in Heterogeneous Execution Environments , Springer, DOI:https://doi.org/10.1007/978-3-031-04961-3, 23-52, July 2022.

Quality Assurance and Design-Time Optimization

Indika Kumara, Alfio Lazzaro, Nina Mujkanovic, Zoe Vasileiou & Damian A. Tamburri, "Quality Assurance and Design-Time Optimization" In Elisabetta Di Nitto, Jesús Gorroñogoitia Cruz, Indika Kumara, Dragan Radolović, Kamil Tokmakov, Zoe Vasileiou (eds), Deployment and Operation of Complex Software in Heterogeneous Execution Environments , Springer, DOI:https://doi.org/10.1007/978-3-031-04961-3, 53-66, July 2022.

Sentiment analysis on 2D images of urban and indoor spaces using deep learning architectures

K. Chatzistavros, T. Pistola, S. Diplaris, K. Ioannidis, S. Vrochidis & I. Kompatsiaris, “Sentiment analysis on 2D images of urban and indoor spaces using deep learning architectures”, In 19th International Conference on Content-based Multimedia Indexing (CBMI 2022), Graz, Austria, 14-16 September 2022, Pages 43–49.

Deep Learning for Remote Sensing Image Downscaling: Fusion and Super-Resolution

M. Sdraka, I. Papoutsis, B. Psomas, K. Vlachos, K. Ioannidis, K. Karantzalos, I. Gialampoukidis, S. Vrochidis, "Deep Learning for Remote Sensing Image Downscaling: Fusion and Super-Resolution", IEEE Geoscience and Remote Sensing Magazine, Pages: 2 - 55, 02 June 2022, DOI: 10.1109/MGRS.2022.3171836.

Detection of oil spills in an inland lake using Multi-Spectral Satellite Images

D. F. Mantsis, M. Bakratsas, K. Vlachos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris "Detection of oil spills in an inland lake using Multi-Spectral Satellite Images". In Proceedings of the 2022 Living Planet Symposium, 23-27 May 2022, Bonn, Germany.

A tempοral Deep Convolutional Neural Network model on Sentinel-1 Image Time Series for pixel-wise Flood Classification

K. Vlachos, A. Moumtzidou, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris, "A tempοral Deep Convolutional Neural Network model on Sentinel-1 Image Time Series for pixel-wise Flood Classification". In Proceedings of the 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022), Kuala Lumpur, Malaysia, 17-22 July 2022, Physical, IEEE.

Imageability-based Multi-modal Analysis of Urban Environments for Architects and Artists

T. Pistola, N. Georgakopoulou, A. Shvets, K. Chatzistavros, V.-R. Xefteris, A. Táboas García, I. Koulalis, S. Diplaris, L. Wanner, S. & I. Kompatsiaris, "Imageability-based Multi-modal Analysis of Urban Environments for Architects and Artists", In the Proceedings of the 2nd International Workshop on Fine Art Pattern Extraction and Recognition (FAPER 2022), Lecce, Italy, 23-24 May, 2022.

Host-based Cyber Attack Pattern Identification on Honeypot Logs Using Association Rule Learning

A. Papoutsis, C. Iliou, D. Kavallieros, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Host-based Cyber Attack Pattern Identification on Honeypot Logs Using Association Rule Learning". In Proceedings of the 2022 IEEE International Conference on Cyber Security and Resilience, Virtual Conference, 27-29 July,2022, pp. 50-55, DOI:10.1109/CSR54599.2022.9850317.

An Explainable Multimodal Fusion Approach for Mass Casualty Incidents

Z. Vasileiou, G. Meditskos, S. Vrochidis, N. Bassiliades, "An Explainable Multimodal Fusion Approach for Mass Casualty Incidents". In Proceedings of the 4th International Workshop on Machine Learning and Knowledge Graphs At 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, August 22-24, 2022, Vienna, Austria.

BiasHash: A Bayesian Hashing Framework for Image Retrieval

M. Pegia, A. Moumtzidou, I.Gialampoukidis, B. T. Johnsson, S. Vrochidis, and I. Kompatsiaris "BiasHash: A Bayesian Hashing Framework for Image Retrieval", In the proceedings of the 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP 2022), 26-29 June 2022, Nafplio, Greece. DOI: 10.1109/IVMSP54334.2022.9816233

Ontology-based Modelling and Reasoning for Forest Fire Emergencies in Resilient Societies

P. Masa, G. Meditskos, S. Kintzios, S. Vrochidis, I. Kompatsiaris, "Ontology-based Modelling and Reasoning for Forest Fire Emergencies in Resilient Societies", 12th EETN Conference on Artificial Intelligence (SETN 2022), September 7-9 2022, Corfu, Greece (accepted for publication).

Infrastructure monitoring and quality diagnosis in CNC machining: A review

M. Ntemi, S. Paraschos, A. Karakostas, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris " Infrastructure monitoring and quality diagnosis in CNC machining: A review.", CIRP Journal of Manufacturing Science and Technology, Elsevier, Volume 38, August 2022, Pages 631-649. https://doi.org/10.1016/j.cirpj.2022.06.001

Selective Word Substitution for Contextualized Data Augmentation

K. Pantelidou, D. Chatzakou, T. Tsikrika, S. Vrochidis, I. Kompatsiaris. "Selective Word Substitution for Contextualized Data Augmentation". In Proc. of the 27th International Conference on Natural Language & Information Systems (NLDB), Valencia, Spain, 15-17 June 2022,(pp.508-516).

Water quality issues: Can we detect a creeping crisis with social media data?

S. Andreadis, N. Pantelidis, I. Gialampoukidis, S. Vrochidis, and I. Kompatsiaris, "Water quality issues: Can we detect a creeping crisis with social media data?", In the proceedings of the 27th IEEE Symposium on Computers and Communications (IEEE ISCC 2022), 30 June - 3 July 2022, Rhodes, Greece

M4D-MKLab/ITI-CERTH Participation in TREC Deep Learning Track 2021

A-Μ Koufakis, T. Tsikrika, S. Vrochidis, & I. Kompatsiaris, (2022, March 1). "M4D-MKLab/ITI-CERTH Participation in TREC Deep Learning Track 2021". Text REtrieval Conference (TREC).

Cybersecurity in Next Generation Energy Grids: Challenges and Opportunities for Blockchain and AI Technologies

N., Mengidis, T., Tsikrika, S., Vrochidis, I., Kompatsiaris (2021) "Cybersecurity in Next Generation Energy Grids: Challenges and Opportunities for Blockchain and AI Technologies". In Tagarev T., Atanassov K.T., Kharchenko V., Kacprzyk J. (eds) Digital Transformation, Cyber Security and Resilience of Modern Societies. Studies in Big Data, vol 84. Springer, Cham. DOI:https://doi.org/10.1007/978-3-030-65722-2_18.

Cyber security certification programmes

E.-C. Davri, E. Darra, I. Monogioudis, A. Grigoriadis, C. Iliou, N. Mengidis, T. Tsikrika, S. Vrochidis, A. Peratikou, H. Gibson, D. Haskovic, D. Kavallieros, E. Chaskos, P. Zhao, S. Shiaeles, N. Savage, B. Akhgar, X. Bellekens, and M. Amine Ben Farah, "Cyber security certification programmes", in the proceedings of the 2021 IEEE International Conference on Cyber Security and Resilience (IEEE CSR) – Workshops, Virtual Conference, July 26 (Mon) – 28 (Wed), 2021, pp. 428-435, DOI:10.1109/CSR51186.2021.9527974.

Real-time Alert Framework for Fire Incidents Using Multimodal Event Detection on Social Media Streams

T. Papadimos, N. Pantelidis, S. Andreadis, A. Bozas, I. Gialampoukidis, S. Vrochidis, and I. Kompatsiaris, "Real-time Alert Framework for Fire Incidents Using Multimodal Event Detection on Social Media Streams". In Proceedings of the 19th International Conference on Information Systems for Crisis Response and Management, 22-25 May 2022, Tarbes, France.

Filling Cloud Gaps on Optical Time-Series through Optical and SAR Data Fusion for Cropland Monitoring

T. Papadimos, S. Andreadis, V. Sitokonstantinou, A. Koukos, G. Choumos, I. Gialampoukidis, S. Vrochidis, C. Kontoes and I. Kompatsiaris, "Filling Cloud Gaps on Optical Time-Series through Optical and SAR Data Fusion for Cropland Monitoring". In Proceedings of the 2022 Living Planet Symposium, 23-27 May 2022, Bonn, Germany.

Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data

G. Antzoulatos, I. Kouloglou, M. Bakratsas, A. Moumtzidou, I. Gialampoukidis, A. Karakostas, F. Lombardo, R. Fiorin, D. Norbiato, M. Ferri, A. Symeonidis, S. Vrochidis, I. Kompatsiaris, "Flood Hazard and Risk Mapping by Applying an Explainable Machine Learning Framework Using Satellite Imagery and GIS Data". Special Issue: Environmental Water Monitoring for Sustainable Development in Urban and Rural Areas of Sustainability, Volume 14, Issue 6, 2022. DOI:10.3390/su14063251.

A review of multisensor data fusion solutions in smart manufacturing: systems and trends

A. Tsanousa, E. Bektsis, C. Kyriakopoulos, A. González, U. Leturiondo, I. Gialampoukidis, A. Karakostas, S. Vrochidis, I. Kompatsiaris, "A review of multisensor data fusion solutions in smart manufacturing: systems and trends", Sensor data fusion analysis for broad applications, MDPI.

Earthquakes: from Twitter detection to EO data processing

S. Andreadis, I. Gialampoukidis, A. Manconi, D. Cordeiro, V. Conde, M. Sagona, F. Brito, N. Pantelidis, T. Mavropoulos, N. Grosso, S. Vrochidis and I. Kompatsiaris, "Earthquakes: from Twitter detection to EO data processing", IEEE Geoscience and Remote Sensing Letters, Volume 19, 14 February 2022, DOI: 10.1109/LGRS.2022.3149541

Exploring the potential of innovative methods for integrated water and flood risk management in the Oriental Alpes river district: the aqua3S approach

M. Ferri, F. Lombardo, D. Norbiato, A. Moumtzidou, A. Karakostas, S. Vrochidis, and I. Kompatsiaris "Exploring the potential of innovative methods for integrated water and flood risk management in the Oriental Alpes river district: the aqua3S approach".WMS-EXPO2020: Water Resources Management and Sustainability: Solutions for Arid Regions, Dubai Exhibition Center (DEC), Dubai, UAE, March 22-24, 2022.

ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2021

K. Gkountakos, D. Galanopoulos, D. Touska, K. Ioannidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, "ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2021" Proc. TRECVID 2021 Workshop, Gaithersburg, MD, USA (Virtual), 2021.

Ontology-based semantic model for health data interpretation

C. Maga-Nteve, N. Tsolakis, G. Meditskos, A. Karakostas, S. Vrochidis and I. Kompatsiaris. (2021). Ontology-based semantic model for health data interpretation. Proceedings of Fourth International Workshop on Semantic Web Meets Health Data Management (SWH), the 20th International Semantic Web Conference (ISWC), Springer, Virtual Conference 24 - 28 October 2021.

A Semantic Technologies Toolkit for Bridging Early Diagnosis and Treatment in Brain Diseases

C. Maga-Nteve, E. Kontopoulos, N. Tsolakis, P. Mitzias, I. Katakis, E. Mathioudis, K. Avgerinakis, G. Meditskos, A. Karakostas, S. Vrochidis and I. Kompatsiaris. (2021). A Semantic Technologies Toolkit for Bridging Early Diagnosis and Treatment in Brain Diseases – Report from the Ongoing EU-funded Research Project ALAMEDA. Proceedings of Metadata and Semantics Research Conference, Springer, Madrid.

Interactive Video Retrieval Evaluation at a Distance – Comparing Sixteen Interactive Video Search Systems in a Remote Setting at the 10th Video Browser Showdown

S. Heller, V. Gsteiger, W. Bailer, C. Gurrin, B. Þ. Jónsson, Jakub Loko, Andreas Leibetseder, F. Mejzlík, L. Peška, L. Rossetto, K. Schall, K. Schoeffmann, H. Schuldt, F. Spiess, L.-D. Tran, L. Vadicamo, P. Veselý, S. Vrochidis, and J. Wu, "Interactive Video Retrieval Evaluation at a Distance - Comparing Sixteen Interactive Video Search Systems in a Remote Setting at the 10th Video Browser Showdown", International Journal of Multimedia Information Retrieval, 11, pages 1–18 (2022).

VERGE in VBS 2022

S. Andreadis, A. Moumtzidou, D. Galanopoulos, N. Pantelidis, K. Apostolidis, D. Touska, K. Gkountakos, M. Pegia, I. Gialampoukidis, S. Vrochidis, V. Mezaris, and I. Kompatsiaris, "VERGE in VBS 2022", In Proceedings of the 28th International Conference on Multimedia Modelling (MMM2022), Phu Quoc, Vietnam, 6-10 June, 2022.

WaterMM:Water Quality in Social Multimedia Task at MediaEval 2021

S. Andreadis, I. Gialampoukidis, A. Bozas, A. Moumtzidou, R. Fiorin, F. Lombardo, A. Karakostas, D. Norbiato, S. Vrochidis, M. Ferri, and I. Kompatsiaris, "WaterMM:Water Quality in Social Multimedia Task at MediaEval 2021" In Proceedings of the MediaEval 2021 Workshop (MediaEval'21), 12-15 December 2021.

Parallel DBSCAN-Martingale estimation of the number of concepts for automatic satellite image clustering

I. Gialampoukidis, S. Andreadis, N. Pantelidis, S. Hayat, L. Zhong, M. Bakratsas, D. Hoppe, S. Vrochidis, and I. Kompatsiaris, "Parallel DBSCAN-Martingale estimation of the number of concepts for automatic satellite image clustering", In Proceedings of the 28th International Conference on Multimedia Modelling (MMM2022), Phu Quoc, Vietnam, 6-10 June, 2022.

Multimodal data fusion of social media and satellite images for emergency response and decision-making

I. Gialampoukidis, S. Andreadis, S. Vrochidis, and I. Kompatsiaris, "Multimodal data fusion of social media and satellite images for emergency response and decision-making", 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2021), 11 July 2021, Online, pp. 228-231, IEEE.

Implementation of an Interactive Crowd-Enhanced Content Management System for Tourism Development

Ι. Paliokas, E. E. Mitsopoulou, A. T. Patenidis, E. A., Stathopoulos, Α. Kokkalas, S., Diplaris, E. Karyati, S. Tsafaras, E. Tasiopoulou, C. Riggas, G. Meditskos, S. Vrochidis, K. Votis, I. Kompatsiaris, & D. Tzovaras (2021). Implementation of an Interactive Crowd-Enhanced Content Management System for Tourism Development. KnE Social Sciences, 5(9), 275–282.

Human activity recognition with IMU and vital signs feature fusion

V.R. Xefteris, A. Tsanousa, T. Mavropoulos, G. Meditskos, S. Vrochidis, I. Kompatsiaris, Human activity recognition with IMU and vital signs feature fusion. In Proceedings of the 28th International Conference on Multimedia Modelling (MMM2022), Phu Quoc, Vietnam, June 6–10, 2022, Pages 287–298. DOI:https://doi.org/10.1007/978-3-030-98358-1_23.

A Task Category Space for User-Centric Comparative Multimedia Search Evaluations, 28th International Conference on Multimedia Modelling

J. Lokoc, L. Rossetto, W. Bailer, K. Schoeffmann, S. Vrochidis, C. Gurrin, S. Heller, L. Vadicamo, K. Barthel, L. Peška, J. Wu, B. Jónsson, "A Task Category Space for User-Centric Comparative Multimedia Search Evaluations", In Proceedings of the 28th International Conference on Multimedia Modelling (MMM2022), Phu Quoc, Vietnam, 6-10 June, 2022.

Usage of Visual Analytics to Support Immigration-Related, Personalised Language Training Scenarios

G.Antzoulatos, T. Mavropoulos, G. Tzionis, A. Karakostas, A. Gonzalez Costas, M. González Burgos, S. Vrochidis, I. Kompatsiaris (2021). "Usage of Visual Analytics to Support Immigration-Related, Personalised Language Training Scenarios", International Conference on Interactive Mobile Communication, Technologies and Learning (IMCL2021), 4–5 November 2021.

Severity level assessment from semantically fused video content analysis for physical threat detection in ground segments of space systems

G.Antzoulatos, G. Orfanidis, P. Giannakeris, G. Tzanetis, G. Kampilis-Stathopoulos, N. Kopalidis, I. Gialampoukidis, S. Vrochidis, and I. Kompatsiaris (2021). "Severity level assessment from semantically fused video content analysis for physical threat detection in ground segments of space systems" 2nd International Workshop on Cyber-Physical Security for Critical Infrastructures Protection (CPS4CIP 2021), 4-8 October 2021.

Host-based Intrusion Detection Using Signature-based and AI-driven Anomaly Detection Methods

P. Panagiotou, N. Mengidis, T. Tsikrika, S. Vrochidis, and I. Kompatsiaris. "Host-based Intrusion Detection Using Signature-based and AI-driven Anomaly Detection Methods." Information & Security: An International Journal 50, no. 1 (2021): 37-48.

A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets

S. Andreadis, G. Antzoulatos, T. Mavropoulos, P. Giannakeris, G. Tzionis, N. Pantelidis, K. Ioannidis, A. Karakostas, I. Gialampoukidis, S. Vrochidis, I. Kompatsiaris "A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets". Online Social Networks and Media Journal, Elsevier, Volume 23, pp. 100-134, May 2021.

Study of 3D Digitisation Modalities for Crime Scene Investigation

G. Galanakis,; X.Zabulis,; T.Evdaimon,;S.-E. Fikenscher,; S.Allertseder,; T.Tsikrika,; S. Vrochidis "A Study of 3D Digitisation Modalities for Crime Scene Investigation". Forensic. Sci. 2021, 1, 56–85.

xR4DRAMA: Enhancing situation awareness using immersive (XR) technologies

S. Symeonidis, S. Diplaris, N. Heise, T. Pistola, A. Tsanousa, G. Tzanetis, ... & S. Vrochidis, (2021,May). xR4DRAMA: Enhancing situation awareness using immersive (XR) technologies. In 2021 IEEE International Conference on Intelligent Reality (ICIR) (pp. 1-8). IEEE.

On the Use of Semantic Web Technologies for Forest Fire Emergencies in Resilient Societies

P. Masa , G. Meditskos, A. Karakostas , S. Vrochidis, I. Kompatsiaris, (2021). "On the Use of Semantic Web Technologies for Forest Fire Emergencies in Resilient Societies", In Proceedings of the 2021 International Conference on Security and Management (SAM'21), Las Vegas, USA, July 26-29, 2021.

OntoAqua: Ontology-based Modelling of Context in Water Safety and Security

Α.-Μ., Koufakis, S., Tzanakis, A., Moumtzidou, G., Meditskos, A., Karakostas, S., Vrochidis, I., Kompatsiaris, ''OntoAqua: Ontology-based Modelling of Context in Water Safety and Security'', In proceedings of the 13th International Conference on Knowledge Engineering and Ontology Development-KEOD 2021, Valletta, Malta, 25-27 October 2021.