Zilverling

dr. A. Kamilaris (Andreas)

Universitair hoofddocent
EEMCS-CS-PS
Zilverling 5003
a.kamilaris@utwente.nl
+31534891653
Visitekaartje

Publicaties

Jump to: 2025 | 2024 | 2023 | 2022

2025

Strategic Sensor Placement for the Identification of Disinfection Byproducts from Chlorinated Drinking Water: Case Study in the Water Distribution Network of Coimbra, Portugal (2025)In Advances and New Trends in Environmental Informatics: ransboundary Environmental Challenges: Digital Inclusion for Sustainable Developmentā€”EnviroInfo 2024 Conference proceedings (pp. 295-311) (Progress in IS; Vol. Part F578). Springer. Magklis, A. & Kamilaris, A.https://doi.org/10.1007/978-3-031-85284-8_17Using Image-based AI for insect monitoring and conservation - InsectAI COST Action (2025)Research Ideas and Outcomes, 11. Article e134825. August, T., Balzan, M., Bodesheim, P., Brehm, G., Cantú-Salazar, L., Castro, S., Chipperfield, J., Ghisbain, G., Gomez-Segura, A., Goulnik, J., Groom, Q., Hogeweg, L., Huijbers, C., Kamilaris, A., Kazlauskis, K., Koch, W., Korsch, D., Loureiro, J., Martin, Y., ā€¦ Høye, T. T.https://doi.org/10.3897/rio.10.e134825

2024

A Weakly Supervised Multimodal Deep Learning Approach for Large-Scale Tree Classification: A Case Study in Cyprus (2024)Remote sensing, 16(23). Article 4611. Amin, A., Kamilaris, A. & Karatsiolis, S.https://doi.org/10.3390/rs16234611TaxaNet: Harnessing a Hierarchical Loss Function for Insect Classification Using Deep Learning (2024)In Workshop on Camera Traps, AI, and Ecology 2024 (pp. 46-56) (CEUR workshop proceedings; Vol. 3786). CEUR. Padubidri, C., Visserman, H., Lanitis, A. & Kamilaris, A.The Be-Hive Projectā€”Counting Bee Traffic Based on Deep Learning and Pose Estimation (2024)In Intelligent Systems and Applications - Proceedings of the 2023 Intelligent Systems Conference IntelliSys Volume 2 (pp. 531-545) (Lecture Notes in Networks and Systems; Vol. 823 LNNS). Springer. Padubidri, C., Kamilaris, A., Charalambous, A., Lanitis, A. & Constantinides, M.https://doi.org/10.1007/978-3-031-47724-9_35Assessing the Health Impact of Disinfection Byproducts in Drinking Water (2024)ACS ES&T Water, 4(4), 1564-1578. Article 3c00664. Kalita, I., Kamilaris, A., Havinga, P. J. M. & Reva, I.https://doi.org/10.1021/acsestwater.3c00664EuropaBON EBV workflow templates (2024)[Dataset Types › Dataset]. Zenodo. Lumbierres, M., Huybrechts, P., Pereira, H. M., Brotons, L., Souza, A. T., Buttigieg, P. L., Rasmussen, J. J., Pit, I. R., Jankauskaite, G., Müllerová, J., Kopatz, A., Lever, J. J., Anderle, M., Santana, J., Enrica, N., Sousa, R., Zhang, J., Floccia, F., Díaz-Delgado, R., ā€¦ Solé-Medina, A.https://doi.org/10.5281/zenodo.10680435GAEA: A Country-Scale Geospatial Environmental Modelling Tool: Towards a Digital Twin for Real Estate (2024)In Advances and New Trends in Environmental Informatics 2023: Sustainable Digital Society (pp. 177–199) (Progress in IS). Springer. Jamil, A., Padubidri, C., Karatsiolis, S., Kalita, I., Guley, A. & Kamilaris, A.https://doi.org/10.1007/978-3-031-46902-2_10Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning (2024)Remote sensing, 16(1). Article 142. Karatsiolis, S., Padubidri, C. & Kamilaris, A.https://doi.org/10.3390/rs16010142Towards understanding animal welfare by observing collective flock behaviors via AI-powered Analytics (2024)In Proceedings of the 19th Conference on Computer Science and Intelligence Systems (pp. 643-648) (Annals of Computer Science and Intelligence Systems; Vol. 39). Karatsiolis, S., Panagi, P., Vassiliades, V., Kamilaris, A., Nicolaou, N. & Stavrakis, E.https://doi.org/10.15439/2024F2064

2023

Scalable Retrieval of Similar Landscapes in Optical Satellite Imagery Using Unsupervised Representation Learning (2023)[Working paper › Preprint]. Preprints. Karatsiolis, S., Padubidri, C. & Kamilaris, A.https://doi.org/10.20944/preprints202310.1626.v1Examining the potential of mobile applications to assist people to escape wildfires in real-time (2023)Fire Safety Journal, 136. Article 103747. Kamilaris, A., Filippi, J. B., Padubidri, C., Koole, R. & Karatsiolis, S.https://doi.org/10.1016/j.firesaf.2023.103747A Model-agnostic Approach for Generating Saliency Maps to Explain Inferred Decisions of Deep Learning Models (2023)In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISAPP (pp. 39-46) (Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Vol. 2023). SCITEPRESS. Karatsiolis, S. & Kamilaris, A.https://doi.org/10.5220/0011612400003417

2022

A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models (2022)[Working paper › Preprint]. ArXiv.org. Karatsiolis, S. & Kamilaris, A.https://doi.org/10.48550/arXiv.2209.08906Improving Operational Efficiency In EV Ridepooling Fleets By Predictive Exploitation of Idle Times (2022)[Working paper › Preprint]. ArXiv.org. Provoost, J. C., Kamilaris, A., Gidófalvi, G., Heijenk, G. J. & Wismans, L. J. J.https://doi.org/10.48550/arXiv.2208.14852

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