Onderzoeksoutput per jaar
Onderzoeksoutput per jaar
Persoonlijk profiel
Opleiding / Academische kwalificatie
Computer Science, PhD, Vrije Universiteit Brussel
aug 2015 → okt 2020
Computer Science, MSc, University "Marta Abreu" of Las Villas
sep 2011 → sep 2014
Computer Science, BSc, University "Marta Abreu" of Las Villas
sep 2006 → jul 2011
Externe posities
Teaching Assistant, University "Marta Abreu" of Las Villas
sep 2011 → sep 2017Vingerafdruk
Verdiep u in de onderzoeksgebieden waarop Isel Del Carmen Grau Garcia actief is. Deze onderwerplabels komen uit het werk van deze persoon. Samen vormen ze een unieke vingerafdruk.
- 6 Soortgelijke profielen
Netwerk
Recente externe samenwerking op landenniveau. Duik in de details door op de stippen te klikken.
Onderzoeksoutput
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Interpretable Semi-Supervised Classifier for Predicting Cancer Stages
Grau, I., Sengupta, D. & Nowe, A., 2021, (Accepted/In press) Machine Learning, Big Data, and IoT for Medical Informatics. Elsevier, blz. 1-19 19 blz.Onderzoeksoutput: Chapter
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On the Performance of the Nonsynaptic Backpropagation for Training Long-term Cognitive Networks
Nápoles, G., Grau, I., Concepcion, L. & Salgueiro, Y., 2021, (Accepted/In press) Proceedings of the 11th International Conference on Pattern Recognition Systems. blz. 1-6 6 blz.Onderzoeksoutput: Conference paper
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An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling
Grau, I., Sengupta, D., Garcia Lorenzo, M. M. & Nowe, A., 2020, Proceedings of the 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, blz. 1-8 8 blz.Onderzoeksoutput: Conference paper › Research
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An interpretable semi-supervised classifier using two different strategies for amended self-labeling
Grau, I., Sengupta, D., Garcia, M. M. & Nowe, A., 26 jan 2020, arXiv, blz. 1-36, 36 blz.Onderzoeksoutput: Working paper
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Extended Abstract: An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling.
Grau, I., Sengupta, D., Garcia Lorenzo, M. M. & Nowe, A., 2020, Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020). Cao, L., Kosters, W. & Lijffijt, J. (redactie). Leiden, the Netherlands, blz. 376-377 2 blz.Onderzoeksoutput: Conference paper › Research
Open Access
Activiteiten
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An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling
Isel Del Carmen Grau Garcia (Speaker)20 jul 2020Activiteit: Talk or presentation at a conference
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An interpretable semi-supervised classifiers with bioinformatics applications
Isel Del Carmen Grau Garcia (Speaker)13 feb 2020Activiteit: Talk or presentation at a workshop/seminar
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Interpretable Machine Learning. Grey-box models as an alternative.
Isel Del Carmen Grau Garcia (Invited speaker)3 sep 2020Activiteit: Talk at an external academic organisation
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An Interpretable Semi-supervised Classifier using Rough Sets for Amended Self-labeling
Isel Del Carmen Grau Garcia (Speaker)nov 2020Activiteit: Talk or presentation at a conference
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Talking to your data
Isel Del Carmen Grau Garcia (Speaker)21 nov 2019Activiteit: Talk at a festival/exhibition
Scriptie
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Exploring Ontology Driven Edition of Decision Trees
Auteur: Dutta, S. & Grau, I., jun 2020Begeleider: Nowe, A. (Promotor) & Grau Garcia, I. D. C. (Advisor)
Scriptie/masterproef: Master's Thesis
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Self-labeling Grey-Box Model: An Interpretable Semi-Supervised Classifier
Auteur: Grau, I., 9 okt 2020Begeleider: Nowe, A. (Promotor), García Lorenzo, M. M. (Externe persoon) (Co-promotor), Signer, B. (Jury), Vranken, W. (Jury), Lenaerts, T. (Jury), Van Dooren, S. (Jury), Vanhoof, K. (Externe persoon) (Jury) & Cornelis, C. (Externe persoon) (Jury)
Scriptie/masterproef: Doctoral Thesis