Publications

researcher
Ing. Michal Staňo

Publications for year 2025

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Publications

  • DORA, Jean Rosemond - HLUCHÝ, Ladislav** - STAŇO, Michal**. In-memory shellcode runner detection in internet of things (IoT) networks: a lightweight behavioral and semantic analysis framework. In Sensors, 2025, vol. 25, no. 17, art. no. 5425. (2024: 3.5 - IF, Q2 - JCR, 0.764 - SJR, Q1 - SJR). ISSN 1424-8220. Dostupné na: https://doi.org/10.3390/s25175425 Typ: ADCA
    Citations:
    [1.1] RAI, Andri - IM, Eul Gyu. MemCatcher: An In-Depth Analysis Approach to Detect In-Memory Malware. In APPLIED SCIENCES-BASEL, 2025, vol. 15, no. 21, art. no. 11800. Dostupné na: https://doi.org/10.3390/app152111800, Registrované v: WOS
  • HABALA, Ondrej - ŠELENG, Martin - HABALA, Michal - STUHL, Ľubor - STAŇO, Michal - HLUCHÝ, Ladislav. Scalable cloud application deployment service for versatile cloud service deployment and configuration. In Computing and informatics, 2024, vol. 43, no. 6, p. 1416-1431. (2023: 0.7 - IF, Q4 - JCR, 0.258 - SJR, Q3 - SJR). ISSN 1335-9150. Dostupné na: https://doi.org/10.31577/cai_2024_6_1416 Typ: ADDA
  • KRAMMER, Peter - HABALA, Ondrej - STAŇO, Michal - HLUCHÝ, Ladislav. Fine-tuning the high-voltage tower pollution model using distribution identification. In SISY 2024 - IEEE 22nd International Symposium on Intelligent Systems and Informatics : Proceedings. - Danvers : IEEE, 2024, p. 53-58. ISBN 979-8-3503-8560-1. Dostupné na: https://doi.org/10.1109/SISY62279.2024.10737530 (SISY 2024 : IEEE 22nd International Symposium on Intelligent Systems and Informatics.) Typ: ADMB
  • SKOVAJSOVÁ, Lenka - HLUCHÝ, Ladislav - STAŇO, Michal. A review of multi-objective and multi-task federated learning approaches. In IEEE 23rd world symposium on applied machine intelligence and informatics : SAMI 2025. Proceedings. - Danvers : IEEE, 2025, p. 35-40. ISBN 979-8-3503-7936-5. ISSN 2767-9438. Dostupné na: https://doi.org/10.1109/SAMI63904.2025.10883172 (SAMI 2025 : IEEE 23rd world symposium on applied machine intelligence and informatics.) Typ: ADMB
    Citations:
    [1.1] CHEN, Guihong - TONG, Mingyong - YIN, Jiao - WANG, Maojie - CAO, Jinli - WANG, Hua. SecureGraphFL: A Privacy-Preserving and Attack-Resilient Federated Learning Framework for Traffic Prediction. In IEEE INTERNET OF THINGS JOURNAL, 2025, vol. 12, no. 21, pp. 44988-44999. ISSN 2327-4662. Dostupné na: https://doi.org/10.1109/JIOT.2025.3599568, Registrované v: WOS
    [1.1] MILLER, Tymoteusz - DURLIK, Irmina - KOSTECKA, Ewelina - KOZLOVSKA, Polina - NOWAK, Aleksander. Federated Learning for Decentralized Electricity Market Optimization: A Review and Research Agenda. In ENERGIES, 2025, vol. 18, no. 17, art. no. 4682. Dostupné na: https://doi.org/10.3390/en18174682, Registrované v: WOS
    [1.1] TIMOFTE, Edi Marian - DIMIAN, Mihai - GRAUR, Adrian - POTORAC, Alin Dan - BALAN, Doru - CROITORU, Ionut - HRITCAN, Daniel-Florin - PUSCASU, Marcel. Federated Learning for Cybersecurity: A Privacy-Preserving Approach. In APPLIED SCIENCES-BASEL, 2025, vol. 15, no. 12, art. no. 6878. Dostupné na: https://doi.org/10.3390/app15126878, Registrované v: WOS
    [1.2] BAO, Yuhao - GAO, Jinfeng - FENG, Dongqin - LI, Lebao. Edge Hierarchical Asynchronous Federated Learning Model for the Industrial Internet of Things. In Proceedings 2025 11th IEEE International Conference on Privacy Computing and Data Security Pcds 2025, 2025-01-01, pp. 139-144. ISBN [9781665477468]. Dostupné na: https://doi.org/10.1109/PCDS65695.2025.00027, Registrované v: SCOPUS
  • STAŇO, Michal - HLUCHÝ, Ladislav - KRAMMER, Peter - HUCKO, Michal. Docker survey for FLOps efficiency. In 2025 Cybernetics & Informatics (K&I) : 32nd International Conference. - Danvers, US : IEEE, 2025, p. 1-6. ISBN 979-8-3315-4181-1. ISSN 2767-875X. Dostupné na: https://doi.org/10.1109/KI64036.2025.10916451 (2025 Cybernetics & Informatics (K&I) : 32nd International Conference.) Typ: ADMB
    Citations:
    [1.1] AHMADPANAH, Seyed Hossein - MIRABI, Meghdad - SAHAFI, Amir - ERFANI, Seyed Hossein. ATLAS: adaptive threat-learning algorithm for secure container migration in heterogeneous multi-cloud environments. In CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2025, vol. 28, no. 15, art. no. 987. ISSN 1386-7857. Dostupné na: https://doi.org/10.1007/s10586-025-05720-3, Registrované v: WOS
  • ŠELENG, Martin** - DLUGOLINSKÝ, Štefan - STAŇO, Michal - HLUCHÝ, Ladislav. Model for named entity extraction from short fire event-related texts. In Procedia Computer Science, 2025, vol. 256, p. 557-564. (2024: 0.471 - SJR). ISSN 1877-0509. Dostupné na: https://doi.org/10.1016/j.procs.2025.02.152 Typ: ADMB
    Citations:
    [1.2] ZHAO, Yufan - ZHANG, Wuyang - CHENG, Yu - XU, Zhaoyang - TIAN, Yexin - WEI, Zijing. Entity Boundary Detection in Social Texts Using BiLSTM-CRF with Integrated Social Features. In 2025 6th International Conference on Computer Engineering and Application Iccea 2025, 2025-01-01, pp. 1615-1619. ISBN [9798331543303]. Dostupné na: https://doi.org/10.1109/ICCEA65460.2025.11103146, Registrované v: SCOPUS
    [3.1] BLŠTÁK, M. - KOPČAN, J. - ŠUPPA, M. - HAVRAN, S. - FINDOR, A. - TAKÁČ, M. -ŠIMKO, M. When the dictionary strikes back: A case study on Slovak migration location term extraction and NER via rule-based vs. LLM methods. In Proceedings of the 10th Workshop on Slavic Natural Language Processing (Slavic NLP 2025). 2025, pp. 91-100. doi: 10.18653/v1/2025.bsnlp-1.11.
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