Publications

Databases of publicatons: Web of Science, Scopus, DBLP, Google Scholar.

Summary (12/2020)

publications:14 in journals with IF, 18 in conference proceedings (18 Web of Science/WoS, 33 Scopus/Sco, 34 Google Scholar/GS, 29 RIV).
citations:55 WoS, 143 Sco, 201 GS, without selfcitations 32 WoS, 89 Sco, ? GS.
H-index:4 WoS, 5 Sco, 5 GS, without selfcitations 3 WoS, 5 Sco, ? GS.
ORCID:ORCID iD iconorcid.org/0000-0001-7770-2033

Journal papers

  1. Konecny, J., Trnecka, M.: Boolean Matrix Factorization for Symmetric Binary Variables. Knowledge-Based Systems 279 (2023), 110944.
    DOI 10.1016/j.knosys.2023.110944
  2. Trnecka, M., Vyjidacek, R.: Revisiting the GreCon Algorithm for Boolean Matrix Factorization. Knowledge-Based Systems 249 (2022), 108895.
    DOI 10.1016/j.knosys.2022.108895
  3. Trnecka, M., Trneckova, M.: Boolean Matrix Factorization with Background Knowledge. Knowledge-Based Systems 241 (2022), 108261.
    DOI 10.1016/j.knosys.2022.108261
  4. Bartl, E., Trnecka, M.: Covering of Minimal Solutions to Fuzzy Relational Equations. International Journal of General Systems 50 (2)(2021), 117–138.
    DOI 10.1080/03081079.2020.1865340
  5. Trnecka, M., Trneckova, M.: Model Order Selection for Approximate Boolean Matrix Factorization Problem. Knowledge-Based Systems 227 (2021), 107184.
    DOI 10.1016/j.knosys.2021.107184
  6. Belohlavek, R., Trnecka, M.: The 8M Algorithm from Today's Perspective. ACM Transactions on Knowledge Discovery from Data 15 (2)(2021), article 22.
    DOI 10.1145/3428078
  7. Makhalova, T., Trnecka, M.: From-Below Boolean Matrix Factorization Algorithm Based on MDL. Advances in Data Analysis and Classification 15 (2021), 37–56.
    DOI 10.1007/s11634-019-00383-6
  8. Belohlavek, R., Trnecka, M.: Basic level of concepts and formal concept analysis 2: Examination of existing basic level metrics. International Journal of General Systems 49 (7)(2020), 707–723.
    DOI 10.1080/03081079.2020.1837795
  9. Belohlavek, R., Trnecka, M.: Basic level of concepts in formal concept analysis 1: Formalization and utilization. International Journal of General Systems 49 (7)(2020), 689–706.
    DOI 10.1080/03081079.2020.1837794
  10. Trnecka, M., Trneckova, M.: An Incremental Algorithm for the Role Mining Problem. Computers & Security 94 (2020), 101830.
    DOI 10.1016/j.cose.2020.101830, source code
  11. Belohlavek, R., Outrata, J., Trnecka, M.: Factorizing Formal Contexts using Formal Concepts and Iterative Usage of Essential Entries. Information Sciences 489 (2019), 37–49.
    DOI 10.1016/j.ins.2019.03.001, source code
  12. Outrata, J., Trnecka, M.: Parallel Exploration of Partial Solutions in Boolean Matrix Factorization. Journal of Parallel and Distributed Computing 123 (2019), 180–191.
    DOI 10.1016/j.jpdc.2018.09.014
  13. Trnecka, M., Trneckova, M.: Data Reduction for Boolean Matrix Factorization Algorithms Based on Formal Concept Analysis. Knowledge-Based Systems 158 (2018), 75–80.
    DOI 10.1016/j.knosys.2018.05.035
  14. Belohlavek, R., Outrata, J., Trnecka, M.: Toward Quality Assessment of Boolean Matrix Factorizations. Information Sciences 459 (2018), 71–85.
    DOI 10.1016/j.ins.2018.05.016
  15. Belohlavek, R., Trnecka, M.: Handling Noise in Boolean Matrix Factorization. International Journal of Approximate Reasoning 96 (2018), 78–94.
    DOI 10.1016/j.ijar.2018.03.006
  16. Belohlavek, R., Trnecka, M.: A New Algorithm for Boolean Matrix Factorization which Admits Overcovering. Discrete Applied Mathematics 249 (2018), 36–52.
    DOI 10.1016/j.dam.2017.12.044
  17. Belohlavek, R., Trnecka, M.: From-Below Approximations in Boolean Matrix Factorization: Geometry and New Algorithm. Journal of Computer and System Sciences 81 (8)(2015), 1678–1697.
    DOI 10.1016/j.jcss.2015.06.002, source code
  18. Belohlavek, R., Outrata, J., Trnecka, M.: Impact of Boolean Factorization as Preprocessing Methods for Classification of Boolean Data. Annals of Mathematics and Artificial Intelligence 72 (1–2)(2014), 3–22.
    DOI 10.1007/s10472-014-9414-x

Papers in conference proceedings

  1. Konecny, J., Trnecka, M.: Boolean Matrix Factorization for Data with Symmetric Variables. In Proceedings of the 22th IEEE International Conference on Data Mining (ICDM 2022), 1011–1016.
    DOI 10.1109/ICDM54844.2022.00123
  2. Trnecka, M., Trneckova, M.: An Incremental Recomputation of From-Below Boolean Matrix Factorization. In: Braud A. et al. (Eds.): ICFCA 2021: Proceedings of the 16th Internationl Conference on Formal Concept Analysis, LNAI 12733, Strasbourg, France, 2021, pp. 125–137.
    DOI 10.1007/978-3-030-77867-5_8
  3. Krajca, P., Trnecka, M.: Reducing Negative Impact of Noise in Boolean Matrix Factorization with Association Rules. In: Abreu H. A. et. al. (Eds.) Advances in Intelligent Data Analysis XIX: Proceedings of the 19th International Symposium on Intelligent Data Analysis, IDA 2021, LNCS 12695, Porto, Portugal, 2021, pp. 365–375.
    DOI 10.1007/978-3-030-74251-5_29
  4. Trnecka, M., Trneckova, M.: Simple Structure in Boolean Matrix Factorization. In: Valverde-Albacete, F. J., Trnecka, M. (Eds.): CLA 2020: Proceedings of the 15th International Conference on Concept Lattices and Their Applications, CEUR Workshop Proceedings Vol. 2668, Tallinn, Estonia, 2020, pp. 95–106.
    pdf
  5. Trnecka, M., Vyjidacek, R.: Revisiting the GreCon Algorithm for Boolean Matrix Factorization. In: Valverde-Albacete, F. J., Trnecka, M. (Eds.): CLA 2020: Proceedings of the 15th International Conference on Concept Lattices and Their Applications, CEUR Workshop Proceedings Vol. 2668, Tallinn, Estonia, 2020, pp. 59–70.
    pdf
  6. Krajca, P., Trnecka, M.: Parallelization of the GreConD Algorithm for Boolean Matrix Factorization. In: D. Cristea et al. (Eds.): ICFCA 2019: Proceedings of the 15th Internationl Conference on Formal Concept Analysis, LNAI 11511, Frankfurt, Germany, 2019, pp. 208–222.
    DOI 10.1007/978-3-030-21462-3_14
  7. Makhalova, T., Trnecka, M.: A Study of Boolean Matrix Factorization Under Supervised Settings. In: D. Cristea et al. (Eds.): ICFCA 2019: Proceedings of the 15th Internationl Conference on Formal Concept Analysis, LNAI 11511, Frankfurt, Germany, 2019, pp. 341–348.
    DOI 10.1007/978-3-030-21462-3_24
  8. Krajca, P., Trnecka, M.: Basic Level Concepts as a Means to Better Interpretability of Boolean Matrix Factors and their Application to Clustering. In: Torra, V., Narukawa, Y., Aguiló, I., González-Hidalgo, M. (Eds.): MDAI 2018: Modeling Decisions for Artificial Intelligence, LNAI 11144, Mallorca, Spain, 2018, pp. 169–181.
    DOI 10.1007/978-3-030-00202-2_14, pdf Springer
  9. Belohlavek, R., Trnecka, M.: The 8M algorithm from today's perspective. In: Dmitry I. Ignatov, Lhouari Nourine (Eds.): CLA 2018: Proceedings of the 14th International Conference on Concept Lattices and Their Applications, Olomouc, Czech Republic, 2018, pp. 167–178.
    pdf, slides
  10. Trnecka, M., Trneckova, M.: Can we measure the interpretability of factors?. In: Dmitry I. Ignatov, Lhouari Nourine (Eds.): CLA 2018: Proceedings of the 14th International Conference on Concept Lattices and Their Applications, Olomouc, Czech Republic, 2018, pp. 179–190.
    pdf
  11. Osicka, P., Trnecka, M.: Boolean Matrix Decomposition by Formal Concept Sampling. In: Proceedings of the ACM International Conference on Infortmation and Knowledge Management (CIKM'17), Singapore, 2017, pp. 2243–2246.
    DOI 10.1145/3132847.3133054, pdf
  12. Belohlavek, R., Trnecka, M.: Handling Noise in Boolean Matrix Factorization. In: Proceedings of the 26rd International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, Australia, 2017, pp. 1433–1439.
    ISBN 978-0-9992411-0-3, DOI 10.24963/ijcai.2017/198, poster, slides
  13. Outrata, J., Trnecka, M.: Running Boolean Matrix Factorization in Parallel. In: Zhao Y., Islam M. Z., Stone G., Ong K.-L., Sharma D., Williams G. (Eds.): Proceedings of the the 14th Australasian Data Mining Conference, AusDM 2016, Conferences in Research and Practice in Information Technology, Vol. 170, 2016, Canberra, Australia, pp. 71–79.
    to appear, pdf
  14. Outrata, J., Trnecka, M.: Evaluating Association Rules in Boolean Matrix Factorization. In: Proceedings of the 16th Conference Information Technologies (ITAT 2016), Workshop on Computational Intelligence and Data Mining (WCIDM 2016), CEUR Workshop Proceedings Vol. 1649, Tatranské Matliare, Slovakia, 2016, pp. 147–154.
    pdf, slides
  15. Trnecka, M., Trneckova, M.: Decomposition of Boolean Multi-Relational Data with Graded Relations. In: Proceedings of the 8th IEEE International Conference on Intelligent Systems (IEEE IS'16), Sofia, Bulgaria, 2016, pp. 221–226.
    DOI 10.1109/IS.2016.7737425, pdf IEEE, slides
  16. Belohlavek, R., Outrata, J., Trnecka, M.: How to assess quality of BMF algorithms?. In: Proceedings of the 8th IEEE International Conference on Intelligent Systems (IEEE IS'16), Sofia, Bulgaria, 2016, pp. 227–233.
    DOI 10.1109/IS.2016.7737426, pdf IEEE, slides
  17. Trnecka, M., Trneckova, M.: An Algorithm for the Multi-Relational Boolean Factor Analysis based on Essential Elements. In: K. Bertet, S. Rudolph (Eds.): CLA 2014: Proceedings of the 11th International Conference on Concept Lattices and Their Applications, Košice, Slovakia, 2014, pp. 107–118.
    ISBN 978-80-8152-159-1, pdf, slides
  18. Krmelova, M., Trnecka, M.: Boolean Factor Analysis of Multi-Relational Data. In: M. Ojeda-Aciego, J. Outrata (Eds.): CLA 2013: Proceedings of the 10th International Conference on Concept Lattices and Their Applications, La Rochelle, France, 2013, pp. 187–198.
    ISBN 978-2-7466-6566-8, pdf, slides
  19. Belohlavek, R., Trnecka, M.: Basic Level in Formal Concept Analysis: Interesting Concepts and Psychological Ramifications. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13), Beijing, China, 2013, pp. 1233–1239.
    ISBN 978-1-57735-633-2, pdf, poster, slides
  20. Belohlavek, R., Outrata, J., Trnecka, M.: Impact of Boolean factorization as preprocessing methods for classification of Boolean data. In: Szathmary L., Priss U. (Eds.): CLA 2012: Proceedings of the 9th International Conference on Concept Lattices and Their Applications, Fuengirola (Málaga), Spain, 2012, pp. 305–316.
    ISBN 978–84–695–5252–0, pdf
  21. Belohlavek, R., Trnecka, M.: Basic Level of Concepts in Formal Concept Analysis. In: F. Domenach, D.I. Ignatov, and J. Poelmans (Eds.): ICFCA 2012: Proceedings of the 10th Internationl Conference on Formal Concept Analysis, LNAI 7278, Leuven, Belgium, 2012, pp. 28–44.
    ISBN 978-3-642-29891-2, pdf, slides

Book chapters

  1. Lorkowski, J., Trnecka, M.: Similarity Approach to Defining Basic Level of Concepts Explained from the Utility Viewpoint. In: Ceberio M., Kreinovich V. (Eds.): Constraint Programming and Decision Making: Theory and Applications, Springer, 2018, pp. 107–111.
    DOI 10.1007/978-3-319-61753-4

Edited volumes

  1. Valverde-Albacete, J. F., Trnecka, M.: Proceedings of the Fifthteenth International Conference on Concept Lattices and Their Applications (CLA 2020), Tallinn, Estonia, June 29-July 1, 2020. 
    CEUR Workshop Proceedings 2668

Others

  1. Valverde-Albacete J., F., Trnecka, M. Yahia, S. B.: Special Issue on Concept Lattices and their Applications (CLA 2020), International Journal of Approximate Reasoning 164 (2024), 109079.
    DOI 10.1016/j.ijar.2023.109079
  2. Trnecka, M.: Moderní layout webových stránek (in Czech), Matematika-Fyzika-Informatika 28 (4)(2019), 294–306.
    ISSN (on-line): 1805–7705, pdf
  3. Trnecka, M.: Minimum description length in Boolean matrix factorization. Rigorous thesis, Palacký University Olomouc, 2019.
    pdf
  4. Makhalova, T., Trnecka, M.: From-Below Boolean Matrix Factorization Algorithm Based on MDL. https://arxiv.org/abs/1901.09567, 2019.
  5. Trnecka, M.: Pokročilé optimalizace pro webové vyhledávače (in Czech), Matematika-Fyzika-Informatika 26 (2)(2017), 138–146.
    ISSN (print): 1210–1761, ISSN (on-line): 1805–7705, pdf
  6. Trnecka, M.: Decompositions of Matrices with Relational Data: Fundations and Algorithms. Dissertation thesis, Palacký University Olomouc, Czech Republic, 2016, xii+98 pp.
    pdf, slides
  7. Trnecka, M.: Základní optimalizace pro webové vyhledávače (in Czech), Matematika-Fyzika-Informatika 25 (3)(2016), 223–230.
    ISSN (print): 1210–1761, ISSN (on-line): 1805–7705, pdf
  8. Belohlavek, R., Trnecka, M.: From-Below Approximations in Boolean Matrix Factorization: Geometry and New Algorithm. http://arxiv.org/abs/1306.4905, 2013.
  9. Kreinovich, K., Krmelova, M., Trnecka, M., Wu, B.: How to Distinguish True Dependence from Varying Independence?. Journal of Intelligent Technologies and Applied Statistics 6 (4)(2013), 339–351.
    pdf
  10. Lorkowski, J., Trnecka, M.: Similarity Approach to Defining Basic Level of Concepts Explained from the Utility Viewpoint. Proceedings of the Sixth International Workshop on Constraints Programming and Decision Making CoProd'2013, El Paso, Texas, 2013, pp. 17–21.
    pdf