Βάσεις Δεδομένων και Βάσεις Γνώσης

Σύνδεσμοι

Γενικοί σύνδεσμοι
- Δεν υπάρχουν σύνδεσμοι σε αυτή την κατηγορία -

Κατηγορίες συνδέσμων
Ανάλυση Δεδομένων Η παρακάτω λίστα περιλαμβάνει ενδεικτικές επιστημονικές εργασίες οι οποίες εκπονήθηκαν από το προσωπικό του εργαστηρίου Δασικής-Περιβαλλοντικής Πληροφορικής και Υπολογιστικής Νοημοσύνης του Τμήματος Δασολογίας και Διαχείρισης Περιβάλλοντος και Φυσικών Πόρων, της Σχολής Επιστημών Γεωπονίας και Δασολογίας του Δημοκρίτειου Πανεπιστήμιου Θράκης.
https://link.springer.com/chapter/10.1007/978-3-319-17091-6_17 Demertzis K., Iliadis L. (2015) Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains. In: Gammerman A., Vovk V., Papadopoulos H. (eds) Statistical Learning and Data Sciences. SLDS 2015. Lecture Notes in Computer Science, vol 9047. Springer, Cham
https://www.springer.com/us/book/9783319182742 Demertzis K., Iliadis L. (2015) A Bio-Inspired Hybrid Artificial Intelligence Framework for Cyber Security. In: Daras N., Rassias M. (eds) Computation, Cryptography, and Network Security. Springer, Cham
https://link.springer.com/chapter/10.1007%2F978-3-319-23983-5_9 Demertzis K., Iliadis L. (2015) Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fish Species Lagocephalus Sceleratus. In: Iliadis L., Jayne C. (eds) Engineering Applications of Neural Networks. EANN 2015. Communications in Computer and Information Science, vol 517. Springer, Cham
https://link.springer.com/chapter/10.1007/978-3-319-44944-9_17 Anezakis VD., Demertzis K., Iliadis L., Spartalis S. (2016) A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices. In: Iliadis L., Maglogiannis I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2016. IFIP Advances in Information and Communication Technology, vol 475. Springer, Cham
https://link.springer.com/article/10.1007/s12530-017-9196-6 Anezakis, VD., Demertzis, K., Iliadis, L. et al. Evolving Systems (2018) 9: 267. https://doi.org/10.1007/s12530-017-9196-6
https://link.springer.com/chapter/10.1007/978-3-319-45243-2_16 Anezakis VD., Dermetzis K., Iliadis L., Spartalis S. (2016) Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens. In: Nguyen NT., Iliadis L., Manolopoulos Y., Trawiński B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science, vol 9875. Springer, Cham
https://link.springer.com/chapter/10.1007/978-3-319-24306-1_23 Demertzis K., Iliadis L. (2015) SAME: An Intelligent Anti-malware Extension for Android ART Virtual Machine. In: Núñez M., Nguyen N., Camacho D., Trawiński B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science, vol 9330. Springer, Cham
https://link.springer.com/article/10.1007/s40595-017-0095-3 Demertzis, K. & Iliadis, L. Vietnam J Comput Sci (2017) 4: 245. https://doi.org/10.1007/s40595-017-0095-3
https://link.springer.com/chapter/10.1007/978-3-319-47898-2_34 Demertzis K., Iliadis L. (2017) Adaptive Elitist Differential Evolution Extreme Learning Machines on Big Data: Intelligent Recognition of Invasive Species. In: Angelov P., Manolopoulos Y., Iliadis L., Roy A., Vellasco M. (eds) Advances in Big Data. INNS 2016. Advances in Intelligent Systems and Computing, vol 529. Springer, Cham
https://link.springer.com/article/10.1007/s00521-016-2591-2 Demertzis, K. & Iliadis, L. Neural Comput & Applic (2017) 28: 1225. https://doi.org/10.1007/s00521-016-2591-2
https://link.springer.com/chapter/10.1007/978-3-319-44188-7_4 Bougoudis I., Demertzis K., Iliadis L., Anezakis VD., Papaleonidas A. (2016) Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers. In: Jayne C., Iliadis L. (eds) Engineering Applications of Neural Networks. EANN 2016. Communications in Computer and Information Science, vol 629. Springer, Cham
https://link.springer.com/article/10.1007%2Fs00521-016-2591-2 Demertzis, K. & Iliadis, L. Neural Comput & Applic (2017) 28: 1225. https://doi.org/10.1007/s00521-016-2591-2
https://link.springer.com/chapter/10.1007%2F978-3-319-27478-2_20 Demertzis K., Iliadis L. (2016) Bio-inspired Hybrid Intelligent Method for Detecting Android Malware. In: Kunifuji S., Papadopoulos G., Skulimowski A., Kacprzyk J. (eds) Knowledge, Information and Creativity Support Systems. Advances in Intelligent Systems and Computing, vol 416. Springer, Cham
https://link.springer.com/chapter/10.1007%2F978-3-319-07869-4_30#page-1 Demertzis K., Iliadis L. (2014) Evolving Computational Intelligence System for Malware Detection. In: Iliadis L., Papazoglou M., Pohl K. (eds) Advanced Information Systems Engineering Workshops. CAiSE 2014. Lecture Notes in Business Information Processing, vol 178. Springer, Cham
https://link.springer.com/article/10.1007/s00521-015-1927-7?email.event.1.SEM.ArticleAuthorContributingOnlineFirst Bougoudis, I., Demertzis, K. & Iliadis, L. Neural Comput & Applic (2016) 27: 1191. https://doi.org/10.1007/s00521-015-1927-7
https://link.springer.com/chapter/10.1007%2F978-3-319-11710-2_2 Demertzis K., Iliadis L. (2014) A Hybrid Network Anomaly and Intrusion Detection Approach Based on Evolving Spiking Neural Network Classification. In: Sideridis A., Kardasiadou Z., Yialouris C., Zorkadis V. (eds) E-Democracy, Security, Privacy and Trust in a Digital World. e-Democracy 2013. Communications in Computer and Information Science, vol 441. Springer, Cham
https://link.springer.com/chapter/10.1007%2F978-3-319-18275-9_7 Demertzis K., Iliadis L. (2015) A Bio-Inspired Hybrid Artificial Intelligence Framework for Cyber Security. In: Daras N., Rassias M. (eds) Computation, Cryptography, and Network Security. Springer, Cham
https://link.springer.com/article/10.1007/s00521-015-2075-9?email.event.1.SEM.ArticleAuthorContributingOnlineFirst Demertzis, K., Iliadis, L., Avramidis, S. et al. Neural Comput & Applic (2017) 28: 505. https://doi.org/10.1007/s00521-015-2075-9
https://www.tandfonline.com/doi/full/10.1080/17512549.2017.1325401 Konstantinos Demertzis, Lazaros S. Iliadis & Vardis-Dimitrios Anezakis (2018) An innovative soft computing system for smart energy grids cybersecurity,Advances in Building Energy Research, 12:1, 3-24, DOI: 10.1080/17512549.2017.1325401
https://link.springer.com/article/10.1007%2Fs12530-017-9196-6 Anezakis, VD., Demertzis, K., Iliadis, L. et al. Evolving Systems (2018) 9: 267. https://doi.org/10.1007/s12530-017-9196-6
https://link.springer.com/chapter/10.1007/978-3-319-65172-9_11 Demertzis K., Iliadis L., Spartalis S. (2017) A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systems. In: Boracchi G., Iliadis L., Jayne C., Likas A. (eds) Engineering Applications of Neural Networks. EANN 2017. Communications in Computer and Information Science, vol 744. Springer, Cham
http://www.scienpress.com/Upload/JAMB/Vol%206_3_3.pdf Demertzis, Konstantinos, Iliadis, L.S., 2016. Ladon: A Cyber Threat Bio-Inspired Intelligence Management System. Journal of Applied Mathematics & Bioinformatics, vol.6, no.3, 2016, 45-64, ISSN: 1792-6602 (print), 1792-6939 (online), Scienpress Ltd, 2016.
https://link.springer.com/article/10.1007/s00521-017-3125-2 Bougoudis, I., Demertzis, K., Iliadis, L. et al. Neural Comput & Applic (2018) 29: 375. https://doi.org/10.1007/s00521-017-3125-2
https://link.springer.com/chapter/10.1007/978-3-319-67633-3_8 Anezakis VD., Iliadis L., Demertzis K., Mallinis G. (2017) Hybrid Soft Computing Analytics of Cardiorespiratory Morbidity and Mortality Risk Due to Air Pollution. In: Dokas I., Bellamine-Ben Saoud N., Dugdale J., Díaz P. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2017. Lecture Notes in Business Information Processing, vol 301. Springer, Cham
https://link.springer.com/chapter/10.1007/978-3-319-44944-9_17 Anezakis VD., Demertzis K., Iliadis L., Spartalis S. (2016) A Hybrid Soft Computing Approach Producing Robust Forest Fire Risk Indices. In: Iliadis L., Maglogiannis I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2016. IFIP Advances in Information and Communication Technology, vol 475. Springer, Cham
https://link.springer.com/chapter/10.1007/978-3-319-44188-7_4 Bougoudis I., Demertzis K., Iliadis L., Anezakis VD., Papaleonidas A. (2016) Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers. In: Jayne C., Iliadis L. (eds) Engineering Applications of Neural Networks. EANN 2016. Communications in Computer and Information Science, vol 629. Springer, Cham
https://link.springer.com/chapter/10.1007/978-3-319-45243-2_16 Anezakis VD., Dermetzis K., Iliadis L., Spartalis S. (2016) Fuzzy Cognitive Maps for Long-Term Prognosis of the Evolution of Atmospheric Pollution, Based on Climate Change Scenarios: The Case of Athens. In: Nguyen NT., Iliadis L., Manolopoulos Y., Trawiński B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science, vol 9875. Springer, Cham
https://link.springer.com/chapter/10.1007/978-3-319-23983-5_9 Demertzis K., Iliadis L. (2015) Intelligent Bio-Inspired Detection of Food Borne Pathogen by DNA Barcodes: The Case of Invasive Fish Species Lagocephalus Sceleratus. In: Iliadis L., Jayne C. (eds) Engineering Applications of Neural Networks. EANN 2015. Communications in Computer and Information Science, vol 517. Springer, Cham
https://link.springer.com/article/10.1007/s13762-017-1555-0 Dimou, V., Anezakis, VD., Demertzis, K. et al. Int. J. Environ. Sci. Technol. (2018) 15: 1597. https://doi.org/10.1007/s13762-017-1555-0
https://link.springer.com/chapter/10.1007/978-3-319-27478-2_20 Demertzis K., Iliadis L. (2016) Bio-inspired Hybrid Intelligent Method for Detecting Android Malware. In: Kunifuji S., Papadopoulos G., Skulimowski A., Kacprzyk J. (eds) Knowledge, Information and Creativity Support Systems. Advances in Intelligent Systems and Computing, vol 416. Springer, Cham
https://www.frontiersin.org/articles/10.3389/fenvs.2017.00085/full Demertzis, Konstantinos, Iliadis, L., Anezakis, V.-D., 2017a. Commentary: Aedes albopictus and Aedes japonicus—two invasive mosquito species with different temperature niches in Europe. Front. Environ. Sci. 5. https://doi.org/10/gdp865
https://link.springer.com/chapter/10.1007/978-3-319-69838-0_2 Demertzis K., Iliadis L. (2018) The Impact of Climate Change on Biodiversity: The Ecological Consequences of Invasive Species in Greece. In: Leal Filho W., Manolas E., Azul A., Azeiteiro U., McGhie H. (eds) Handbook of Climate Change Communication: Vol. 1. Climate Change Management. Springer, Cham
https://aip.scitation.org/doi/10.1063/1.5043910?ai=1gvoi&mi=3ricys&af=R& Anezakis, V.-D., Demertzis, K., Iliadis, L., 2018a. Classifying with fuzzy chi-square test: The case of invasive species. AIP Conference Proceedings 1978, 290003. https://doi.org/10/gdtm5q
https://ieeexplore.ieee.org/document/8397174 Anezakis, V., Mallinis, G., Iliadis, L., Demertzis, K., 2018. Soft computing forecasting of cardiovascular and respiratory incidents based on climate change scenarios, in: 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS). Presented at the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS), pp. 1–8. https://doi.org/10.1109/EAIS.2018.8397174
https://link.springer.com/chapter/10.1007/978-3-319-74325-7_5 Demertzis K., Iliadis L. (2018) A Computational Intelligence System Identifying Cyber-Attacks on Smart Energy Grids. In: Daras N., Rassias T. (eds) Modern Discrete Mathematics and Analysis. Springer Optimization and Its Applications, vol 131. Springer, Cham
https://link.springer.com/chapter/10.1007/978-3-319-17091-6_17 Demertzis K., Iliadis L. (2015) Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains. In: Gammerman A., Vovk V., Papadopoulos H. (eds) Statistical Learning and Data Sciences. SLDS 2015. Lecture Notes in Computer Science, vol 9047. Springer, Cham
https://link.springer.com/chapter/10.1007/978-3-319-92007-8_50 Demertzis K., Anezakis VD., Iliadis L., Spartalis S. (2018) Temporal Modeling of Invasive Species’ Migration in Greece from Neighboring Countries Using Fuzzy Cognitive Maps. In: Iliadis L., Maglogiannis I., Plagianakos V. (eds) Artificial Intelligence Applications and Innovations. AIAI 2018. IFIP Advances in Information and Communication Technology, vol 519. Springer, Cham
https://www.tandfonline.com/doi/full/10.1080/24751839.2018.1501542 Demertzis, Konstantinos, Iliadis, L.S., Anezakis, V.-D., 2018d. Extreme deep learning in biosecurity: the case of machine hearing for marine species identification. Journal of Information and Telecommunication 2, 492–510. https://doi.org/10/gdwszn
http://www.scitepress.org/PublicationsDetail.aspx?ID=+u1w9%2fItJqY%3d&t=1 Rantos, K.; Drosatos, G.; Demertzis, K.; Ilioudis, C. and Papanikolaou, A. (2018). Blockchain-based Consents Management for Personal Data Processing in the IoT Ecosystem.In Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 2: SECRYPT, ISBN 978-989-758-319-3, pages 572-577. DOI: 10.5220/0006911007380743
https://link.springer.com/article/10.1007/s00521-015-1927-7 Bougoudis, I., Demertzis, K. & Iliadis, L. Neural Comput & Applic (2016) 27: 1191. https://doi.org/10.1007/s00521-015-1927-7
https://www.mdpi.com/2504-2289/2/4/35 Demertzis, K.; Kikiras, P.; Tziritas, N.; Sanchez, S.L.; Iliadis, L. The Next Generation Cognitive Security Operations Center: Network Flow Forensics Using Cybersecurity Intelligence. Big Data Cogn. Comput. 2018, 2, 35.
https://link.springer.com/article/10.1007/s12530-017-9196-6?wt_mc=Internal.Event.1.SEM.ArticleAuthorAssignedToIssue&utm_source=ArticleAuthorAssignedToIssue&utm_medium=email&utm_content=AA_en_06082018&ArticleAuthorAssignedToIssue_20181127 Anezakis, VD., Demertzis, K., Iliadis, L. et al. Evolving Systems (2018) 9: 267. https://doi.org/10.1007/s12530-017-9196-6
https://link.springer.com/chapter/10.1007/978-3-030-12942-2_23 Rantos K., Drosatos G., Demertzis K., Ilioudis C., Papanikolaou A., Kritsas A. (2019) ADvoCATE: A Consent Management Platform for Personal Data Processing in the IoT Using Blockchain Technology. In: Lanet JL., Toma C. (eds) Innovative Security Solutions for Information Technology and Communications. SECITC 2018. Lecture Notes in Computer Science, vol 11359. Springer, Cham
https://content.iospress.com/articles/integrated-computer-aided-engineering/ica505 Bougoudis, I., Demertzis, K., Iliadis, L., 2016a. Fast and low cost prediction of extreme air pollution values with hybrid unsupervised learning. Integrated Computer-Aided Engineering 23, 115–127. https://doi.org/10/f8dt4t
https://www.mdpi.com/2504-2289/3/1/6 Demertzis, K.; Tziritas, N.; Kikiras, P.; Sanchez, S.L.; Iliadis, L. The Next Generation Cognitive Security Operations Center: Adaptive Analytic Lambda Architecture for Efficient Defense against Adversarial Attacks. Big Data Cogn. Comput. 2019, 3, 6.

Βάσεις Δεδομένων και Βάσεις Γνώσης

Σύνδεσμοι

Επιλογές Μαθήματος