GÂLMEANU Honorius

Conferențiar
Departamentul de Matematică şi informatică
Facultatea de Matematică şi informatică

Contact:

B-dul Iuliu Maniu nr. 50 Brașov, Romania
Corp P, sala PP2
Tel./Fax: +40 268 414 016
E-mail: galmeanu@unitbv.ro

Descarcă CV

Interese de cercetare:

  • învățare automată
  • rețele neurale
  • concept drift

Publicații (selecție)

  • H. Gâlmeanu, R. Andonie, “Concept Drift Detection and Visualization with Shifting Window”, Information Visualization, Sage Journals, September 1, 2025, https://doi.org/10.1177/14738716251365635
  • H. Gâlmeanu, B. Kovalerchuk, R. Andonie, “Interactive Discovery of Concept Drift with Lossless Visualization”, 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22-27, 2025, Machine Learning. HCI (57) 2025: 310-324, http://doi.org/10.1007/978-3-031-93429-2_21
  • H. Gâlmeanu, R. Andonie, “Concept Drift Visualization of SVM with Shifting Window”, 2024 28th International Conference Information Visualisation (IV), Coimbra, Portugal, 2024, pp. 1-7, IEEE Xplore, http://doi.org/10.1109/IV64223.2024.00046
  • H. Gâlmeanu, R. Andonie, “Weighted Incremental-Decremental Support Vector Machines for concept drift with shifting window”, Neural Networks, Elsevier, May 2022, http://doi.org/10.1016/j.neunet.2022.05.018
  • H. Gâlmeanu, R. Andonie, “Concept Drift Adaptation with Incremental-Decremental SVM”, Applied Sciences, MDPI Basel, October 2021, vol. 11, issue 20, art. 9644, http://doi.org/10.3390/app11209644
  • H. Gâlmeanu, P. Barko and T. Hubauer, METHOD AND DEVICE TO CONTROL A TECHNICAL DEVICE WITH DATA, Nov 19, 2020, Siemens AG, Werner-von-Siemens- Strasse 1, 8033, Muenchen, DE, https://patentscope.wipo.int/search/en/detail.jsf?docId=WO2020229188&tab=PCTBIBL IO 
  • H. Gâlmeanu, L.M. Sasu, R. Andonie, “Incremental and Decremental SVM for Regression”, International Journal of Computers, Communications and Control, Vol. 11, No. 6, October 2016, http://doi.org/10.15837/IJCCC.2016.6.2744
  • H. Gâlmeanu, R. Andonie, “Implementation Issues of an Incremental and Decremental SVM”, Proc. of the 18th International Conference on Artificial Neural Networks (ICANN'08), SpringerLink, Prague, Czech Republic, September 2008, vol. 1, http://doi.org/10.1007/978-3-540-87536-9_3