Journals

1. G. Koutidis, K. Loumponias, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Towards AI-Driven Prediction of Terrorism Risk Based on the Analysis of Localized Web News.", In IEEE Access, vol. 12, pp. 167288-167299, 2024. https://doi.org/10.1109/ACCESS.2024.3485913
2. T. Theodoridis, K. Loumponias, N. Vretos, P. Daras, "Zernike Pooling: Generalizing Average Pooling Using Zernike Moments.",IEEE Access, vol. 9, pp. 121128-121136, 2021, doi: 10.1109/ACCESS.2021.3108630
3. K. Loumponias, N. Vretos, G. Tsaklidis, P. Daras, "An Improved Tobit Kalman Filter with Adaptive Censoring Limits", Circuits, Systems, and Signal Processing, Accepted for publication

Conference

1. K. Loumponias, S. Raptis, E. Darra, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Forecasting Cyber-Attacks to Destination Ports Using Machine Learning", in Proceedings of the 9th International Conference on Information Systems Security and Privacy (ICISSP), Lisbon, Portugal, 22-24 February, 2023.
2. A. Kosmatopoulos, K. Loumponias, O. Theodosiadou, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Identification of Key Actor Nodes: A Centrality Measure Ranking Aggregation Approach.", in Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, 10-11 November, 2022.
3. K. Loumponias, A. Kosmatopoulos, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "A Faster Converging Negative Sampling for the Graph Embedding Process in Community Detection and Link Prediction Tasks.", in Proceedings of the 3rd International Conference on Deep Learning Theory and Applications - DeLTA, SciTePress, Lisbon, Portugal, 2022, pp. 86-93, doi: 10.5220/0011142000003277
4. A. Kosmatopoulos, K. Loumponias, D. Chatzakou, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Random-Walk Graph Embeddings and the Influence of Edge Weighting Strategies in Community Detection Tasks.",in Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks (OASIS ’21), ACM, New York, NY, USA, Virtual Event, Ireland, August 30, 2021. https://dl.acm.org/doi/abs/10.1145/3472720.3483621
5. K. Loumponias, A. Dimou, N. Vretos, P. Daras, "Adaptive Tobit Kalman-based tracking",14th International Conference on Signal Image Technology & Internet Based Systems (SITIS 2018), Universidad De Las Palmas De Grand Canaria, Spain, 26-29 November 2018.
6. K. Loumponias, N. Vretos, P. Daras, G. Tsaklidis, "Using Tobit Kalman filtering in order to improve the Motion recorded by Microsoft Kinect",, International workshop on applied probability IWAP 2016, 20-23 June, 2016, Toronto, Canada
7. K. Loumponias, N. Vretos, P. Daras, G. Tsaklidis, "Using Kalman filter and tobit kalman filter in order to improve the Motion recorded by Kinect sensor II",29th Hellenic national statistics conference, 4-7 May 2016, Imathia, Greece.

Books Chapters

1. K. Loumponias, A. Kosmatopoulos, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Modified SkipGram Negative Sampling Model for Faster Convergence of Graph Embedding.", in Deep Learning Theory and Applications (DeLTA 2022), vol. 1858, Communications in Computer and Information Science, Cham, Switzerland: Springer, 2023. https://doi.org/10.1007/978-3-031-37317-6_1