Δημοσιεύσεις Σε Περιοδικά

1. K. Georgiadis, F. P. Kalaganis, K. Riskos, E. Matta, V. P. Oikonomou, I. Yfantidou, D. Chantziaras, K. Pantouvakis, S. Nikolopolos, N. A. Laskaris, I. Kompatsiaris, "NeuMa - the absolute Neuromarketing dataset en route to an holistic understanding of consumer behaviour.", Sci Data 10, 508 (2023). https://doi.org/10.1038/s41597-023-02392-9
2. V. P. Oikonomou, K. Georgiadis, F. Kalaganis, S. Nikolopoulos, I. Kompatsiaris, "A Sparse Representation Classification Scheme for the Recognition of Affective and Cognitive Brain Processes in Neuromarketing.", Sensors. 2023; 23(5):2480. https://doi.org/10.3390/s23052480
3. K. Georgiadis, F. Kalaganis, V. Oikonomou, S. Nikolopoulos, N. Laskaris, I. Kompatsiaris, "RNeuMark: A Riemannian EEG Analysis Framework for Neuromarketing.", Brain Inf. 9, 22 (2022). https://doi.org/10.1186/s40708-022-00171-7
4. I. Lazarou, S. Nikolopoulos, K. Georgiadis, V. Oikonomou, A. Mariakaki, I. Kompatsiaris, "Exploring the Connection of Brain Computer Interfaces and Multimedia Use With the Social Integration of People With Various Motor Disabilities: A Questionnaire-Based Usability Study.", Front Digit Health. 2022 Aug 4;4:846963. doi: 10.3389/fdgth.2022.846963
5. I. Lazarou, K. Georgiadis, S. Nikolopoulos, V. Oikonomou, T. Stavropoulos, A. Tsolaki, I. Kompatsiaris, M. Tsolaki and the RADAR-AD Consortium, "Exploring network properties across preclinical stages of Alzheimer’s Disease using a visual short-term memory and attention task with high-density EEG: A brain-connectome neurophysiological study", Journal of Alzheimer’s Disease, Feb 2022;87(2):643-664. doi: 10.3233/JAD-215421.
6. F. Kalaganis, K. Georgiadis, V. Oikonomou, N. Laskaris, S. Nikolopoulos, I. Kompatsiaris, "Unlocking the Subconscious Consumer Bias: A Survey on the Past, Present, and Future of Hybrid EEG Schemes in Neuromarketing.", Frontiers in Neuroergonomics. 2021. Vol. 2. doi: 10.3389/fnrgo.2021.672982
7. V. Rousopoulou, T. Vafeiadis, A. Nizamis, I. Iakovidis, L. Samaras, A. Kirtsoglou, K. Georgiadis, D. Ioannidis, D. Tzovaras, "Cognitive analytics platform with AI solutions for anomaly detection", Computers in Industry, 2021, https://doi.org/10.1016/j.compind.2021.103555
8. P. Migkotzidis, F. Kalaganis, K. Georgiadis, E. Chatzilari, G. Pehlivanides, S. Tsafaras, K. Monastiridis, G. Matrinidis, S. Nikolopoulos, I. Kompatsiaris, "e-vision: An ai-powered system for promoting the autonomy of visually impaired.", European Journal of Creative Practices in Cities and Landscapes, 2021 (in press)
9. K. Georgiadis, D. Adamos, S. Nikolopoulos, N. Laskaris, I. Kompatsiaris, "Covariation Informed Graph Slepians for Motor Imagery Decoding,", in IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 340-349, 2021, doi:10.1109/TNSRE.2021.3049998.
10. I. Lazarou, K. Georgiadis, S. Nikolopoulos, V. Oikonomou, A. Tsolaki, I. Kompatsiaris, M. Tsolaki, D. Kugiumtzis, "A Novel Connectome-Based Electrophysiological Study of Subjective Cognitive Decline Related to Alzheimer’s Disease by Using Resting-State High-Density", EEG EGI GES 300. Brain Sci. 2020, 10 (6), 392.
11. K. Georgiadis, N. Laskaris, S. Nikolopoulos, I. Kompatsiaris, "Connectivity steered graph Fourier transform for motor imagery BCI decoding", Journal of Neural Engineering, Volume 16, Number 5, August 2019. DOI: 10.1088/1741-2552/ab21fd
12. I. Lazarou, K. Adam, K. Georgiadis, A. Tsolaki, S. Nikolopoulos, I. Kompatsiaris, M. Tsolaki, "Can a Novel High-Density EEG Approach Disentangle the Differences of Visual Event Related Potential (N170), Elicited by Negative Facial Stimuli, in People with Subjective Cognitive Impairment?", Journal of Alzheimer’s Disease, vol. 65, no. 2, pp. 543-575, 2018
13. K. Georgiadis, N. Laskaris, S. Nikolopoulos, I. Kompatsiaris, "Exploiting the heightened phase synchrony in patients with neuromuscular disease for the establishment of efficient motor imagery BCIs", Journal of neuroengineering and rehabilitation, 15(1), 90, 2018. DOI: https://doi.org/10.1186/s12984-018-0431-6
14. K. Georgiadis, N. Laskaris, S. Nikolopoulos, I. Kompatsiaris, "Discriminative Codewaves: a symbolic dynamics approach to SSVEP recognition for asynchronous BCI", J Neural Eng. 2018 Apr;15(2):026008. DOI: 10.1088/1741-2552/aa904c.
15. S. Nikolopoulos, P. Petrantonakis, K. Georgiadis, F. Kalaganis, G. Liaros, I. Lazarou, K. Adam, A. Papazoglou-Chalikias, E. Chatzilari, V. Oikonomou, C. Kumar, R. Menges, S. Staab, D. Müller, K. Sengupta, S. Bostantjopoulou, Z. Katsarou, G. Zeilig, M. Plotnik, A. Gotlieb, S. Fountoukidou, J. Ham, D. Athanasiou, A. Mariakaki, D. Comandicci, E. Sabatini, W. Nistico, M. Plank, I. Kompatsiaris, "A multimodal dataset for authoring and editing multimedia content: The MAMEM project", Data in Brief, 3 November 2017, ISSN 2352-3409, DOI: 10.1016/j.dib.2017.10.072.
16. K. Georgiadis, N. Laskaris, S. Nikolopoulos, I. Kompatsiaris, "Discriminative Codewaves: a nonlinear dynamics approach to SSVEP recognition for asynchronous BCI", Journal of Neural Engineering, 2017 (accepted for publication), DOI: 10.1088/1741-2552/aa904c
17. M. Tsolaki, E. Karathanasi, I. Lazarou, K. Dovas, E. Verykouki, A. Karakostas, K. Georgiadis, A. Tsolaki, K. Adam, I. Kompatsiaris, Z. Sinakos, "Efficacy and safety of Crocus sativus L in patients with Mild Cognitive Impairment: One year single-blind randomized, with parallel groups, clinical trial", Journal of Alzheimer's Disease, vol 54 (1): 129-133, 2016 July 27, DOI: 10.3233/JAD-160304.
18. V. Oikonomou, G. Liaros, K. Georgiadis, E. Chatzilari, K. Adam, S. Nikolopoulos, I. Kompatsiaris, "Comparative evaluation of state-of-the-art algorithms for SSVEP-based BCIs", Technical Report - eprint arXiv:1602.00904, February 2016

Δημοσιεύσεις Σε Συνέδρια

1. E. Skartados, K. Georgiadis, M. K. Yucel, I. Koskinas, A. Domi, A. Drosou, B. Manganelli, A. S. Garriga, "TRICKVOS: A Bag of Tricks for Video Object Segmentation.", 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 2430-2434, doi: 10.1109/ICIP49359.2023.10222050
2. F. P. Kalaganis, K. Georgiadis, V. P. Oikonomou, S. Nikolopoulos, N. A. Laskaris, I. Kompatsiaris, "Exploiting Approximate Joint Diagonalization for Covariance Estimation in Imagined Speech Decoding.", Brain Informatics. BI 2023. Lecture Notes in Computer Science(), vol 13974. Springer, Cham. https://doi.org/10.1007/978-3-031-43075-6_35
3. K. Georgiadis, F. P. Kalaganis, V. P. Oikonomou, S. Nikolopoulos, N. A. Laskaris, I. Kompatsiaris, "Harneshing the Potential of EEG in Neuromarketing with Deep Learning and Riemannian Geometry.", Brain Informatics. BI 2023. Lecture Notes in Computer Science(), vol 13974. Springer, Cham. https://doi.org/10.1007/978-3-031-43075-6_3
4. K. Georgiadis, M. K. Yucel, E. Skartados, V. Dimaridou, A. Drosou, A. Sa`a-Garriga, B. Manganelli, "LP-IOANET: Efficient High Resolution Document Shadow Removal.", ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095920
5. K. Georgiadis, A. Saà-Garriga, M. Kerim Yucel, A. Drosou, B. Manganelli, "Adaptive Mask-based Pyramid Network for Realistic Bokeh Rendering", ECCV 2022 Advances in Image Manipulation Workshop, 2022. doi: 10.48550/arXiv.2210.16078
6. K. Georgiadis, A. Nizamis, T. Vafeiadis, D. Ioannidis, D. Tzovaras, "Production Scheduling Optimization enabled by Digital Cognitive Platform", in International Conference on Industry Sciences and Computer Science Innovation (iSCSi 2022), March 2022, Porto, Portugal
7. K. Georgiadis, N. Laskaris, S. Nikolopoulos, D. Adamos, I. Kompatsiaris, "Using Discriminative Lasso to Detect a Graph Fourier Transform (GFT) Subspace for robust decoding in Motor Imagery BCI", 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 6167-6171. DOI: 10.1109/EMBC.2019.8856973
8. F. Kalaganis, M. Seet, K. Georgiadis, V. Oikonomou, N. Laskaris, S. Nikolopoulos, I. Kompatsiaris, M. Panou, A. Dragomir, A. Bezerianos, "Reconstructing EOG From EEG Timeseries: A Spatial Filtering Approach.", In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), pp. 395-398. IEEE, 2021. doi:. PMID: 34891317. 10.1109/EMBC46164.2021.9630320
9. F. Kalaganis, P. Migkotzidis, K. Georgiadis, E. Chatzilari, S. Nikolopoulos, I. Kompatsiaris, "Lending an artificial eye: beyond evaluation of CV-based assistive systems for visually impaired people.", In Universal Access in Human-Computer Interaction. Access to Media, Learning and Assistive Environments: 15th International Conference, UAHCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part II, pp. 385-399. Cham: Springer International Publishing, 2021.
10. I. Lazarou, K. Georgiadis, S. Nikolopoulos, V. Oikonomou, I. Kompatsiaris, M. Tsolaki, "Comparative study of people with Subjective cognitive Decline using high-density electroencephalograph combined with eye-tracker during selective and sustained attention memory test using visual stimuli", Virtual - 12th Panhellenic Conference of Alzheimer's Disease (PICAD) and the 4th Mediterranean Conference on Neurodegenerative Diseases (MeCoND), Thessaloniki Greece 18-21 February 2021
11. K. Georgiadis, D. Adamos, S. Nikolopoulos, N. Laskaris, I. Kompatsiaris, "A graph-theoretic sensor-selection scheme for covariance-based Motor Imagery (MI) decoding.", In 2020 28th European Signal Processing Conference (EUSIPCO) (pp. 1234-1238). IEEE. (2021, January).
12. K. Georgiadis, G. Kordopatis-Zilos, F. Kalaganis, P. Migkotzidis, E. Chatzilari, V. Panakidou, K. Pantouvakis, S. Tortopidis, S. Papadopoulos, S. Nikolopoulos, I. Kompatsiaris, "Products-6K: A Large-Scale Groceries Product Recognition Dataset", in The 14th PErvasive Technologies Related to Assistive Environments Conference, 2021, pp. 1–7.
13. I. Lazarou, K. Georgiadis, S. Nikolopoulos, A. Tsolaki, I. Kompatsiaris, M. Tsolaki, D. Kugiumtzis, "Brain network analysis of people with Subjective Cognitive Decline related to Alzheimer’s Disease: A Novel High-density EEG Study", FENS Virtual Forum, 11-15 July 2020
14. K. Georgiadis, D. Adamos, S. Nikolopoulos, N. Laskaris, I. Kompatsiaris, "A graph theoretic sensor selection scheme for covariance based Motor Imagery (MI) decoding", 28th European Signal Processing Conference, EUSIPCO 2020, 18-22 January, Amsterdam, Netherlands, 2020.
15. K. Georgiadis, F. Kalaganis, P. Migkotzidis, E. Chatzilari, S. Nikolopoulos, I. Kompatsiaris, "A computer vision system supporting blind people - The supermarket case", In Proc. 12th International Conference on Computer Vision Systems (ICVS 2019), Thessaloniki, Greece, September 2019
16. S. Bostantzopoulou-Kampouroglou, Z. Katsarou, M. Plotnik, G. Zeolig, I. Daglis, G. Liaros, F. Kalaganis, K. Georgiadis, I. Kompatsiaris, S. Nikololopoulos, "Parkinsonian patients experiences operating the computer with their eyes: the MAMEM project", Neurology Apr 2019, 92 (15 Supplement) P5.8-043
17. E. Chatzilari, G. Liaros, K. Georgiadis, S. Nikolopoulos, I. Kompatsiaris, "Combining the Benefits of CCA and SVMs for SSVEP-based BCIs in Real-world Conditions", MMHealth, ACM MM 2017, Mountain View, CA, USA, October 2017
18. F. Kalaganis, E. Chatzilari, K. Georgiadis, S. Nikolopoulos, N. Laskaris, I. Kompatsiaris, "An Error Aware SSVEP-based BCI", 30th IEEE International Symposium on Computer-based Medical Systems, Special Track on Multimodal Interfaces for Natural Human Computer Interaction: Theory and Applications, IEEE CBMS 2017, June 22-24, 2017 Thessaloniki - Greece
19. V. Oikonomou, K. Georgiadis, G. Liaros, S. Nikolopoulos, I. Kompatsiaris, "A comparison study on EEG signal processing techniques using motor imagery EEG data", 30th IEEE International Symposium on Computer-based Medical Systems, Special Track on Multimodal Interfaces for Natural Human Computer Interaction: Theory and Applications, IEEE CBMS 2017, June 22-24, 2017 Thessaloniki - Greece

Κεφάλαια Βιβλίων

1. S. Nikolopoulos, K. Georgiadis, F. Kalaganis, G. Liaros, I. Lazarou, K. Adam, A. Papazoglou-Chalikias, E. Chatzilari, V. Oikonomou, P. Petrantonakis, I. Kompatsiaris, C. Kumar, R. Menges, S. Staab, D. Müller, K. Sengupta, S. Bostantjopoulou, Z. Katsarou, G. Zeilig, M. Plotnik, A. Gottlieb, S. Fountoukidou, J. Ham, D. Athanasiou, A. Mariakaki, D. Comanducci, E. Sabatini, W. Nistico, M. Plank, "The MAMEM Project - A dataset for multimodal human-computer interaction using biosignals and eye tracking information", (2017, July 24) Zenodo. DOI: 10.5281/zenodo.834154