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DOGOULIS Panteleimon Tsampikos

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal

ORCID
0000-0003-3843-9927
Main Referenced Co-authors
CORDY, Maxime  (3)
GHAMIZI, Salah (1)
JIMENEZ, Matthieu  (1)
LE TRAON, Yves  (1)
Maglaveras, Nicos (1)
Main Referenced Keywords
Biomedical images (2); Convolutional neural network (2); Images classification (2); Tumour detection (2); Agricultural and Biological Sciences (all) (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SerVal - Security, Reasoning & Validation (1)
Main Referenced Disciplines
Computer science (4)

Publications (total 4)

The most downloaded
88 downloads
Papageorgiou, V. E., Petmezas, G., DOGOULIS, P. T., CORDY, M., & Maglaveras, N. (20 February 2025). Uncertainty CNNs: A path to enhanced medical image classification performance. Mathematical Biosciences and Engineering, 22 (3), 528 - 553. doi:10.3934/mbe.2025020 https://hdl.handle.net/10993/67098

The most cited

16 citations (Scopus®)

Papageorgiou, V. E., DOGOULIS, P. T., & Papageorgiou, D.-P. (2023). A Convolutional Neural Network of Low Complexity for Tumor Anomaly Detection. In X.-S. Yang (Ed.), Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-981-99-3236-8_78 https://hdl.handle.net/10993/58095

DOGOULIS, P. T., TIT, K., & CORDY, M. (2025). KCLNet: Physics-Informed Power Flow Prediction via Constraints Projections. In Lecture Notes in Computer Science. Springer Nature Switzerland. doi:10.1007/978-3-032-06129-4_6
Peer reviewed

Papageorgiou, V. E., Petmezas, G., DOGOULIS, P. T., CORDY, M., & Maglaveras, N. (20 February 2025). Uncertainty CNNs: A path to enhanced medical image classification performance. Mathematical Biosciences and Engineering, 22 (3), 528 - 553. doi:10.3934/mbe.2025020
Peer Reviewed verified by ORBi

DOGOULIS, P. T., JIMENEZ, M., GHAMIZI, S., CORDY, M., & LE TRAON, Y. (28 July 2024). Robustness Analysis of AI Models in Critical Energy Systems [Poster presentation]. International Conference on Machine Learning, Vienna, Austria.
Peer reviewed

Papageorgiou, V. E., DOGOULIS, P. T., & Papageorgiou, D.-P. (2023). A Convolutional Neural Network of Low Complexity for Tumor Anomaly Detection. In X.-S. Yang (Ed.), Proceedings of 8th International Congress on Information and Communication Technology - ICICT 2023. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-981-99-3236-8_78
Editorial reviewed

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