Journals

  1. N. Lazaridis, K. Georgiadis, F. Kalaganis, G. Kordopatis-Zilos, S. Papadopoulos, S. Nikolopoulos, I. Kompatsiaris, "The Visual Saliency Transformer Goes Temporal: TempVST for Video Saliency Prediction.", IEEE Access, August 2024. DOI: 10.1109/ACCESS.2024.3436585
  2. 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
  3. 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
  4. F. Kalaganis, N. Laskaris, V. Oikonomou, S. Nikopolopoulos, I. Kompatsiaris, "Revisiting Riemannian geometry-based EEG decoding through approximate joint diagonalization.", Journal on Neural Engineering, vol. 19, no. 6, December 2022. https://iopscience.iop.org/article/10.1088/1741-2552/aca4fc
  5. 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
  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. F. Kalaganis, N. Laskaris, E. Chatzilari, S. Nikolopoulos, I. Kompatsiaris, "A Data Augmentation Scheme for Geometric Deep Learning in Personalized Brain–Computer Interfaces", in IEEE Access, vol. 8, pp. 162218-162229, 2020, doi: 10.1109/ACCESS.2020.3021580.
  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. F. Kalaganis, N. Laskaris, E. Chatzilari, D. Adamos, S. Nikolopoulos, I. Kompatsiaris, "A complex-valued functional brain connectivity descriptor amenable to Riemannian geometry", Journal of Neural Engineering, 2020 (in press), DOI: 10.1088/1741-2552/ab8130
  10. F. Kalaganis, N. Laskaris, E. Chatzilari, S. Nikolopoulos, I. Kompatsiaris, "A Riemannian geometry approach to reduced and discriminative covariance estimation in Brain Computer Interfaces", IEEE Trans Biomed Eng. 2019 Apr 18. DOI: 10.1109/TBME.2019.2912066
  11. F. Kalaganis, E. Chatzilari, S. Nikolopoulos, I. Kompatsiaris, N. Laskaris, "An error-aware gaze-based keyboard by means of a hybrid BCI system", Scientific Reports 8, Article number: 13176 (2018)
  12. 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.

Conference

  1. V. Oikonomou, K. Geordiadis, F. Kalaganis, S. Nikolopoulos, I. Kompatsiaris, "Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals.", In IEEE Conference on Artificial Intelligence (CAI), Singapore, 2024 pp. 1111-1116. DOI: 10.1109/CAI59869.2024.00200
  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.", In: Liu, F., Zhang, Y., Kuai, H., Stephen, E.P., Wang, H. (eds) 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.", In: Liu, F., Zhang, Y., Kuai, H., Stephen, E.P., Wang, H. (eds) 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. 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. https://doi.org/10.1007/978-3-030-78095-1_28
  5. 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
  6. 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.
  7. 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
  8. 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
  9. F. Kalaganis, E. Chatzilari, S. Nikolopoulos, N. Laskaris, I. Kompatsiaris, "A Collaborative Representation Approach to Detecting Error-Related Potentials in SSVEP-BCIs", Proc. ACM Multimedia 2017, Mountain View, CA, USA, October 2017.
  10. 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

Books Chapters

  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
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