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Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets.

E. Zdravevski, P. Lameski, A. Kulakov, and D. Gjorgjevikj. FedCSIS, volume 2 of Annals of Computer Science and Information Systems, page 387-394. (2014)

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Eftim Halatscheff

Eftim Eftimov

Adriana Eftimescu

Lara Eftimov

Other publications of authors with the same name

Feature Ranking Based on Information Gain for Large Classification Problems with MapReduce.E. Zdravevski, P. Lameski, A. Kulakov, B. Jakimovski, S. Filiposka, and D. Trajanov. TrustCom/BigDataSE/ISPA (2), page 186-191. IEEE, (2015)978-1-4673-7952-6.Weed Segmentation from Grayscale Tobacco Seedling Images.P. Lameski, E. Zdravevski, and A. Kulakov. RAAD, volume 540 of Advances in Intelligent Systems and Computing, page 252-258. Springer, (2016)Sleep Apnea Detection in Fog Based Ambient Assisted Living System.A. Dimitrievski, N. Koceska, E. Zdravevski, P. Lameski, B. Cico, S. Koceski, and V. Trajkovik. RTA-CSIT, volume 2872 of CEUR Workshop Proceedings, page 136-145. CEUR-WS.org, (2021)Skin lesion segmentation with deep learning.J. Lameski, A. Jovanov, E. Zdravevski, P. Lameski, and S. Gievska. EUROCON, page 1-5. IEEE, (2019)Personal Digital Life Coach for Physical Therapy.G. Popovski, V. Ponciano, G. Marques, I. Pires, E. Zdravevski, and N. Garcia. IEEE BigData, page 3797-3802. IEEE, (2020)A survey of Ambient Assisted Living systems: Challenges and opportunities.A. Dimitrievski, E. Zdravevski, P. Lameski, and V. Trajkovik. ICCP, page 49-53. IEEE, (2016)Cloud-based architecture for automated weed control.P. Lameski, E. Zdravevski, V. Trajkovik, and A. Kulakov. EUROCON, page 757-762. IEEE, (2017)Transformation of nominal features into numeric in supervised multi-class problems based on the weight of evidence parameter.E. Zdravevski, P. Lameski, A. Kulakov, and S. Kalajdziski. FedCSIS, volume 5 of Annals of Computer Science and Information Systems, page 169-179. IEEE, (2015)Mobile Applications for Training Plan Using Android Devices: A Systematic Review and a Taxonomy Proposal.B. Tavares, I. Pires, G. Marques, N. Garcia, E. Zdravevski, P. Lameski, V. Trajkovik, and A. Jevremovic. Inf., 11 (7): 343 (2020)Addressing Privacy and Security in Connected Health with Fog Computing.A. Dimitrievski, E. Zdravevski, P. Lameski, and V. Trajkovik. GOODTECHS, page 255-260. ACM, (2019)

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Disambiguation of "Zdravevski, Eftim"

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Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets.

Please choose a person to relate this publication to

Eftim Halatscheff

Eftim Eftimov

Adriana Eftimescu

Lara Eftimov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zdravevski, Eftim"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets.

Please choose a person to relate this publication to

Eftim Halatscheff

Eftim Eftimov

Adriana Eftimescu

Lara Eftimov

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Feature selection and allocation to diverse subsets for multi-label learning problems with large datasets.