Isel Grau Garcia

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Isel Grau Garcia

dr.

 https://orcid.org/0000-0002-8035-2887
  • 496
    Citations - based on content available in repository [source: Scopus]
20122025

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  • 2024

    AI-Anomaly Project: Condition Assessment of Urban Water Assets through the Detection of Cracks based on Artificial Intelligence Methods

    Cabral, M., Matos, J. P., Silva, A., Valenca, J., Grau, I., Santos, B. & Correia, T., 2024, 8th IAHR Europe Congress: Water-across boundaries. Mendoça, A. & Matos, J. (eds.). 1st ed. LNEC, p. 463-464 2 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    17 Downloads (Pure)

  • Long Short-term Cognitive Networks: An Empirical Performance Study

    Nápoles, G. & Grau, I., 26 Jun 2024, 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2024. Iglesias Martinez, J. A., Baruah, R. D., Kangin, D. & De Campos Souza, P. V. (eds.). Institute of Electrical and Electronics Engineers, 8 p. 10570005

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    4 Downloads (Pure)

  • Measuring Implicit Bias Using SHAP Feature Importance and Fuzzy Cognitive Maps

    Grau, I., Nápoles, G., Hoitsma, F., Koumeri, L. K. & Vanhoof, K., 10 Jan 2024, Intelligent Systems and Applications: Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 1. Arai, K. (ed.). Cham: Springer, p. 745-764 20 p. (Lecture Notes in Networks and Systems (LNNS); vol. 822).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    1 Citation (Scopus)
    1 Downloads (Pure)

  • Model Selection Using Graph Neural Networks

    Nápoles, G., Grau, I., Güven, Ç. & Salgueiro, Y., 31 Jul 2024, Intelligent Systems and Applications: Proceedings of the 2024 Intelligent Systems Conference (IntelliSys). Arai, K. (ed.). Cham: Springer, Vol. 2. p. 332-347 16 p. (Lecture Notes in Networks and Systems (LNNS); vol. 1066).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    2 Downloads (Pure)

  • Sparseness-Optimized Feature Importance

    Grau, I. & Nápoles, G., 10 Jul 2024, Explainable Artificial Intelligence: Second World Conference, xAI 2024, Valletta, Malta, July 17–19, 2024, Proceedings, Part II. Longo, L., Lapuschkin, S. & Seifert, C. (eds.). Cham: Springer, p. 393-415 23 p. (Communications in Computer and Information Science (CCIS); vol. 2154).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    27 Downloads (Pure)

  • Uncovering the Hidden Significance of Activities Location in Predictive Process Monitoring

    Vazifehdoostirani, M., Abbaspour Onari, M., Grau, I., Genga, L. & Dijkman, R. M., 13 Apr 2024, Process Mining Workshops: ICPM 2023 International Workshops, Rome, Italy, October 23–27, 2023, Revised Selected Papers. De Smedt, J. & Soffer, P. (eds.). Springer, p. 191-203 13 p. (Lecture Notes in Business Information Processing (LNBIP); vol. 503).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    1 Citation (Scopus)
    9 Downloads (Pure)
  • 2023

    Encore Abstract: Presumably Correct Decision Sets

    Nápoles, G., Grau, I., Jastrzębska, A. & Salgueiro, Y., Nov 2023, Pre-proceedings of the Joint International Scientific Conferences On AI And Machine Learning BNAIC/BeNeLearn 2023. TU Delft Open, p. 1-3

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access

  • Measuring Perceived Trust in XAI-Assisted Decision-Making by Eliciting a Mental Model

    Abbaspour Onari, M., Grau, I., Nobile, M. S. & Zhang, Y., Aug 2023, Proceedings of the IJCAI 2023 Workshop on Explainable Artificial Intelligence. International Joint Conferences on Artificial Intelligence (IJCAI), p. 1-9 9 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    106 Downloads (Pure)

  • Presumably correct undersampling

    Nápoles, G. & Grau, I., 27 Nov 2023, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27–30, 2023, Proceedings, Part I. Vasconcelos, V., Domingues, I. & Paredes, S. (eds.). Cham: Springer, p. 420–433 14 p. (Lecture Notes in Computer Science (LNCS); vol. 14469).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    2 Downloads (Pure)

  • Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey

    Onari, M. A., Grau, I., Nobile, M. S. & Zhang, Y., 2 Oct 2023, CIBCB 2023 - 20th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology. Institute of Electrical and Electronics Engineers, p. 1-8 8 p. 10264883

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    2 Citations (Scopus)

  • Trustworthy Artificial Intelligence in Medical Applications: A Mini Survey

    Abbaspour Onari, M., Grau, I., Nobile, M. S. & Zhang, Y., Nov 2023, Pre-proceedings of the Joint International Scientific Conferences On AI And Machine Learning BNAIC/BeNeLearn 2023. TU Delft Open, p. 1-2

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
  • 2022

    Comparing Interpretable AI Approaches for the Clinical Environment: an Application to COVID-19

    Abbaspour Onari, M., Nobile, M. S., Grau, I., Fuchs, C., Zhang, Y., Boer, A.-K. & Scharnhorst, V., 26 Aug 2022, 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022. Institute of Electrical and Electronics Engineers, p. 1-8 8 p. 9863020

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    3 Citations (Scopus)
    2 Downloads (Pure)

  • Semiconductor Demand Forecasting using Long Short-term Cognitive Networks

    Grau, I., de Hoop, M., Glaser, A., Nápoles, G. & Dijkman, R., Nov 2022, Proceedings of the 34th Benelux Conference on Artificial Intelligence and 31st Belgian-Dutch Conference on Machine Learning, BNAIC/BeNeLearn 2022. Antwerpen University, 13 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    168 Downloads (Pure)
  • 2021

    Encore Abstract: Interpreting a Black-Box Predictor to Gain Insights into Early Folding Mechanisms

    Grau, I., Nowé, A. & Vranken, W., 2021, Proceedings of BNAIC/BeneLearn 2021: 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning. Leiva, L. A. (ed.). University of Luxembourg, p. 674-676 3 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    21 Downloads (Pure)

  • On the Performance of the Nonsynaptic Backpropagation for Training Long-term Cognitive Networks

    Nápoles, G., Grau, I., Concepcion, L. & Salgueiro, Y., 13 Oct 2021, Proceedings of the 11th International Conference of Pattern Recognition Systems (ICPRS 2021). Institute of Electrical and Electronics Engineers, 6 p. 9568988

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    2 Citations (Scopus)

  • Talking to your Data: Interactive and interpretable data mining through a conversational agent

    Grau, I., Hernandez, L. D., Sierens, A., Michel, S., Sergeyssels, N., Froyen, V., Middag, C. & Nowé, A., 2021, Proceedings of BNAIC/BeneLearn 2021: 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning. Leiva, L. A. (ed.). University of Luxembourg, p. 745-747 3 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    25 Downloads (Pure)

  • Thesis Abstract: Interactive Subgroup Discovery for the Conversational Data Governance Platform "Talking to your Data"

    Sierens, A., Grau, I., Hernandez, L. D., Michel, S., Froyen, V., Middag, C. & Nowé, A., 2021, Proceedings of BNAIC/BeneLearn 2021: 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning. Leiva, L. A. (ed.). University of Luxembourg, p. 769-771 3 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    14 Downloads (Pure)
  • 2020

    An interpretable semi-supervised classifier using rough sets for amended self-labeling

    Grau, I., Sengupta, D., Garcia Lorenzo, M. M. & Nowe, A., Jul 2020, 2020 IEEE International Conference on Fuzzy Systems, FUZZ 2020 - Proceedings. IEEE Press, 8 p. 9177549

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    6 Citations (Scopus)

  • 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. (eds.). Universiteit Leiden, p. 376-377 2 p. (Belgian/Netherlands Artificial Intelligence Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access

  • Teaching a Machine to Diagnose a Heart Disease: Beginning from digitizing scanned ECGs to detecting the Brugada Syndrome (BrS)

    Jaxy, S., Grau, I., Potyka, N., Pappaert, G., Olsen, C. & Nowe, A., 2020, Proceedings of the 32th Benelux Conference on Artificial Intelligence and the 29th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2020). Universiteit Leiden, p. 418-419 2 p. (Belgian/Netherlands Artificial Intelligence Conference).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
  • 2018

    Fuzzy Cognitive Maps Tool for Scenario Analysis and Pattern Classification

    Nápoles, G., León, M., Grau, I. & Vanhoof, K., 7 Jun 2018, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI). Institute of Electrical and Electronics Engineers, p. 644-651 8 p. 8372006

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    19 Citations (Scopus)

  • Interpretable self-labeling semi-supervised classifier

    Grau, I., Sengupta, D., Garcia Lorenzo, M. M. & Nowe, A., 2018, XAI 2018: proceedings of the 2nd Workshop on Explainable Artificial Intelligence. Aha, D. W. & Darrell, T. (eds.). p. 52-57 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
  • 2017

    A fuzzy activation mechanism for rough cognitive ensembles

    Bello, M., Nápoles, G., Fuentes, I., Grau, I., Falcon, R., Bello, R. & Vanhoof, K., 2017, 2nd International Symposium on Fuzzy and Rough Sets ISFUROS 2017. Editorial Feijoó, p. 1-10 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • Training set edition using Rough Set Theory for Semi-supervised Classification

    Grau, I., Nápoles, G., Sengupta, D., Garcia, M. M. & Nowe, A., 2017, 2nd International Symposium on Fuzzy and Rough Sets ISFUROS 2017. Editorial Feijoó, p. 1-10 1 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • 2016

    Genomic Variant Classifier Tool

    Grau, I., Sengupta, D., Farid, D. M., Manderick, B., Nowe, A., Lorenzo, M. M. G., Daneels, D., Bonduelle, M., Croes, D. & Van Dooren, S., 2016, Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016: Volume1. Bi, Y., Kapoor, S. & Bhatia, R. (eds.). Springer, p. 453-456 4 p. (Lecture Notes in Networks and Systems; vol. 15).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • Grey-Box Model: An ensemble approach for addressing semi-supervised classification problems

    Grau, I., Sengupta, D., Garcia Lorenzo, M. M. & Nowé, A., 2016, Proceedings of the 25th Belgian-Dutch Conference on Machine Learning BENELEARN 2016. p. 1-3 3 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • 2015

    A computational tool for simulation and learning of Fuzzy Cognitive Maps

    Nápoles, G., Grau, I., Bello, R., Leon, M., Vahoof, K. & Papageorgiou, E., 30 Nov 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Yazici, A., Pal, N. R., Ishibuchi, H., Tutmez, B., Lin, C.-T., Sousa, J. M. C., Kaymak, U. & Martin, T. (eds.). Institute of Electrical and Electronics Engineers, 8 p. 7337859

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    12 Citations (Scopus)

  • A Java library for Fuzzy Cognitive Maps

    Grau, I., Nápoles, G., Papageorgiou, E., Vanhoof, K., Garcia Lorenzo, M. M. & Nowé, A., 2015, Proceedings of the 27th Benelux Conference on Artificial Intelligence BNAIC 2015. Universiteit Hasselt, p. 1-8 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • Gevact: Genomic variant classifier tool

    Grau, I., Daneels, D., Van Dooren, S., Bonduelle, M., Farid, D. M., Croes, D., Nowé, A. & Sengupta, D., 2015, BeNeLux Bioinformatics Conference. p. 1 1 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers

    Mihaylov, M., Jurado, S., Avellana, N., Razo-Zapata, I. S., Moffaert, K. V., Arco, L., Bezunartea, M., Grau, I., Cañadas, A. & Nowé, A., 2015, Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1917-1918 2 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
    34 Citations (Scopus)
  • 2014

    Determining Positions Associated with Drug Resistance on HIV-1 Proteins: A Computational Approach

    Nápoles, G., Grau, I., Pérez-García, R. & Bello, R., 2014, Applications of Evolutionary Computation: 17th European Conference, EvoApplications 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers. Esparcia-Alcázar, A. I. & Mora, A. M. (eds.). Springer, p. 902-914 13 p. (Lecture Notes in Computer Science ; vol. 8602).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • Hybrid Model Based on Rough Sets Theory and Fuzzy Cognitive Maps for Decision-Making.

    Nápoles, G., Grau, I., Vanhoof, K. & Bello, R., 2014, Rough Sets and Intelligent Systems Paradigms: Second International Conference, RSEISP 2014, Held as Part of JRS 2014, Granada and Madrid, Spain, July 9-13, 2014. Proceedings. Kryszkiewicz, M. (ed.). Springer, p. 169-178 10 p. (Lecture Notes in Computer Science; vol. 8537).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    12 Citations (Scopus)
  • 2013

    Bidirectional recurrent neural networks for biological sequences prediction

    Bonet, I., Rodriguez, A. & Grau, I., 2013, Advances in Soft Computing and Its Applications : 12th Mexican International Conference on Artificial Intelligence, MICAI 2013, Mexico City, Mexico, November 24-30, 2013, Proceedings, Part II. Cham: Springer, p. 139-149 11 p. (Lecture Notes in Computer Science (LNCS); vol. 8266)( Lecture Notes in Artificial Intelligence (LNAI); vol. 8266).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    2 Citations (Scopus)

  • Predicting HIV-1 Protease and Reverse Transcriptase Drug Resistance Using Fuzzy Cognitive Maps

    Grau, I., Nápoles, G. & García Lorenzo, M. M., 2013, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 18th Iberoamerican Congress, CIARP 2013, Havana, Cuba, November 20-23, 2013, Proceedings, Part II. Ruiz-Shulcloper, J. & Sanniti di Baja, G. (eds.). Springer, p. 190-197 8 p. (Lecture Notes in Computer Science; vol. 8259).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    7 Citations (Scopus)

  • Self-adaptive differential particle swarm using a ring topology for multimodal optimization

    Nápoles, G., Grau, I., Bello, R., Falcon, R. & Abraham, A., 2013, 2013 13th International Conference on Intellient Systems Design and Applications. IEEE Press, p. 35-40 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    4 Citations (Scopus)
  • 2012

    Fuzzy Cognitive Maps for Modelling, Predicting and Interpreting HIV Drug Resistance

    Grau, I., Nápoles, G., León, M. & Grau, R., 2012, Advances in Artificial Intelligence – IBERAMIA 2012: 13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings. Pavón, J. (ed.). Springer, p. 31-40 10 p. (Lecture Notes in Computer Science; vol. 7637).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    5 Citations (Scopus)

  • Modelling, Aggregation and Simulation of a Dynamic Biological System through Fuzzy Cognitive Maps

    Nápoles, G., Grau, I., León Espinosa, M. & Grau, R., 2012, Advances in Computational Intelligence: 11th Mexican International Conference on Artificial Intelligence, MICAI 2012, San Luis Potosí, Mexico, October 27 – November 4, 2012. Revised Selected Papers, Part II. Springer, p. 188-199 12 p. (Lecture Notes in Computer Science; vol. 7630).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    15 Citations (Scopus)

  • Particle Swarm Optimization with Random Sampling in Variable Neighbourhoods for Solving Global Minimization Problems

    Nápoles, G., Grau, I. & Bello, R., 2012, Swarm Intelligence: 8th International Conference, ANTS 2012, Brussels, Belgium, September 12-14, 2012. Proceedings. Dorigo, M. (ed.). Springer, p. 352-353 2 p. (Lecture Notes in Computer Science; vol. 7461).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    9 Citations (Scopus)

  • Predicting the Efficiency with Knowledge Discovery of a Budgeted Company: A Cuban University - Validation through Three Semesters

    García, L. I., Grau, I. & Grau, R., 2012, KDIR 2012 : Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4 - 7 October, 2012. SciTePress Digital Library, p. 315-318 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review