Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.

Isel Grau; Dipankar Sengupta; Maria M. Garcia Lorenzo; Ann Nowe

Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.

Isel Grau, Dipankar Sengupta, Maria M. Garcia Lorenzo, Ann Nowe

Onderzoeksoutput: Conference paper

Originele taal-2	English
Titel	Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020)
Redacteuren	Lu Cao, Walter Kosters, Jefrey Lijffijt
Plaats van productie	Leiden, the Netherlands
Pagina's	376-377
Aantal pagina's	2
Status	Published - 2020
Evenement	32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning - Leiden, Netherlands Duur: 19 nov. 2020 → 20 nov. 2020 https://bnaic.liacs.leidenuniv.nl

Publicatie series

Naam	Belgian/Netherlands Artificial Intelligence Conference
ISSN van geprinte versie	1568-7805

Conference

Conference	32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning
Verkorte titel	BNAIC/BeneLearn 2020
Land/Regio	Netherlands
Stad	Leiden
Periode	19/11/20 → 20/11/20
Internet adres	https://bnaic.liacs.leidenuniv.nl

Bibliografische nota

Funding Information:
★ This work was supported by the IMAGica project, financed by the Interdisciplinary Research Programs and Platforms (IRP) funds of the Vrije Universiteit Brussel; and the BRIGHTanalysis project, funded by the European Regional Development Fund (ERDF) and the Brussels-Capital Region as part of the 2014-2020 operational program through the F11-08 project ICITY-RDI.BRU (icity.brussels).

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

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Link naar publicatie in Scopus

IRP8_a: IMAGica: een integratieve gepersonaliseerde medische aanpak voor genetische ziekten, inherente hartritmestoornissen als model
Nowe, A., Bonduelle, M., Brugada, P., Deschepper, R., Lenaerts, T., Van Dooren, S., De Asmundis, C., Gidron, Y., Bilsen, J. & De Couck, M.
1/07/16 → 30/06/23
Project: Fundamenteel

An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling
Isel Del Carmen Grau Garcia (Speaker)
nov. 2020
Activiteit: Talk or presentation at a conference

Citeer dit

Grau, I., Sengupta, D., Garcia Lorenzo, M. M., & Nowe, A. (2020). Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. In L. Cao, W. Kosters, & J. Lijffijt (editors), Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020) (blz. 376-377). (Belgian/Netherlands Artificial Intelligence Conference).. https://bnaic.liacs.leidenuniv.nl/wordpress/wp-content/uploads/bnaic2020proceedings.pdf

Grau, Isel ; Sengupta, Dipankar ; Garcia Lorenzo, Maria M. et al. / Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020). redacteur / Lu Cao ; Walter Kosters ; Jefrey Lijffijt. Leiden, the Netherlands, 2020. blz. 376-377 (Belgian/Netherlands Artificial Intelligence Conference).

@inproceedings{eafa54505ec34a9d86a10457e81caf34,

title = "Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.",

author = "Isel Grau and Dipankar Sengupta and {Garcia Lorenzo}, {Maria M.} and Ann Nowe",

note = "Funding Information: ★ This work was supported by the IMAGica project, financed by the Interdisciplinary Research Programs and Platforms (IRP) funds of the Vrije Universiteit Brussel; and the BRIGHTanalysis project, funded by the European Regional Development Fund (ERDF) and the Brussels-Capital Region as part of the 2014-2020 operational program through the F11-08 project ICITY-RDI.BRU (icity.brussels). Copyright: Copyright 2022 Elsevier B.V., All rights reserved.; 32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning, BNAIC/BeneLearn 2020 ; Conference date: 19-11-2020 Through 20-11-2020",

year = "2020",

language = "English",

series = "Belgian/Netherlands Artificial Intelligence Conference",

pages = "376--377",

editor = "Lu Cao and Kosters, {Walter } and Lijffijt, {Jefrey }",

booktitle = "Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020)",

url = "https://bnaic.liacs.leidenuniv.nl",

}

Grau, I, Sengupta, D, Garcia Lorenzo, MM & Nowe, A 2020, Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. in L Cao, W Kosters & J Lijffijt (redactie), Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020). Belgian/Netherlands Artificial Intelligence Conference, Leiden, the Netherlands, blz. 376-377, 32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning, Leiden, Netherlands, 19/11/20. <https://bnaic.liacs.leidenuniv.nl/wordpress/wp-content/uploads/bnaic2020proceedings.pdf>

Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. / Grau, Isel; Sengupta, Dipankar; Garcia Lorenzo, Maria M. et al.
Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020). redactie / Lu Cao; Walter Kosters; Jefrey Lijffijt. Leiden, the Netherlands, 2020. blz. 376-377 (Belgian/Netherlands Artificial Intelligence Conference).

Onderzoeksoutput: Conference paper

TY - GEN

T1 - Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.

AU - Grau, Isel

AU - Sengupta, Dipankar

AU - Garcia Lorenzo, Maria M.

AU - Nowe, Ann

N1 - Funding Information: ★ This work was supported by the IMAGica project, financed by the Interdisciplinary Research Programs and Platforms (IRP) funds of the Vrije Universiteit Brussel; and the BRIGHTanalysis project, funded by the European Regional Development Fund (ERDF) and the Brussels-Capital Region as part of the 2014-2020 operational program through the F11-08 project ICITY-RDI.BRU (icity.brussels). Copyright: Copyright 2022 Elsevier B.V., All rights reserved.

PY - 2020

Y1 - 2020

UR - http://www.scopus.com/inward/record.url?scp=85137182272&partnerID=8YFLogxK

M3 - Conference paper

T3 - Belgian/Netherlands Artificial Intelligence Conference

SP - 376

EP - 377

BT - Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020)

A2 - Cao, Lu

A2 - Kosters, Walter

A2 - Lijffijt, Jefrey

CY - Leiden, the Netherlands

T2 - 32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning

Y2 - 19 November 2020 through 20 November 2020

ER -

Grau I, Sengupta D, Garcia Lorenzo MM, Nowe A. Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. In Cao L, Kosters W, Lijffijt J, redacteurs, Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020). Leiden, the Netherlands. 2020. blz. 376-377. (Belgian/Netherlands Artificial Intelligence Conference).

Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.

Publicatie series

Conference

Bibliografische nota

Toegang tot document

Andere bestanden en links

Projecten

IRP8_a: IMAGica: een integratieve gepersonaliseerde medische aanpak voor genetische ziekten, inherente hartritmestoornissen als model

Activiteiten

An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling

Citeer dit