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

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

Original language	English
Title of host publication	Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020)
Editors	Lu Cao, Walter Kosters, Jefrey Lijffijt
Place of Publication	Leiden, the Netherlands
Pages	376-377
Number of pages	2
Publication status	Published - 2020
Event	32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning - Leiden, Netherlands Duration: 19 Nov 2020 → 20 Nov 2020 https://bnaic.liacs.leidenuniv.nl

Conference

Conference	32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning
Abbreviated title	BNAIC/BeneLearn 2020
Country	Netherlands
City	Leiden
Period	19/11/20 → 20/11/20
Internet address	https://bnaic.liacs.leidenuniv.nl

Access to Document

https://bnaic.liacs.leidenuniv.nl/wordpress/wp-content/uploads/bnaic2020proceedings.pdf

1 Active

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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 → 30/06/21
Project: Fundamental

1 Talk or presentation at a conference

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

Cite this

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 (Eds.), Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020) (pp. 376-377). Leiden, the Netherlands.

Grau, Isel ; Sengupta, Dipankar ; Garcia Lorenzo, Maria M. ; Nowe, Ann. / 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). editor / Lu Cao ; Walter Kosters ; Jefrey Lijffijt. Leiden, the Netherlands, 2020. pp. 376-377

@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",

year = "2020",

language = "English",

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)",

}

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 (eds), Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020). Leiden, the Netherlands, pp. 376-377, 32nd Benelux Conference on Artificial Intelligence/Belgian-Dutch Conference on Machine Learning, Leiden, Netherlands, 19/11/20.

Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling. / Grau, Isel; Sengupta, Dipankar; Garcia Lorenzo, Maria M.; Nowe, Ann.

Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020). ed. / Lu Cao; Walter Kosters; Jefrey Lijffijt. Leiden, the Netherlands, 2020. p. 376-377.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

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

PY - 2020

Y1 - 2020

M3 - Conference paper

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

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, editors, 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. p. 376-377

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

Conference

Access to Document

IRP8_a: IMAGica: an Integrative personalised Medical Approach for Genetic diseases, Inherited Cardiac Arrhythmias as a model

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

Cite this