Publikace

• 2025

  HURTA, M.; OVESNÁ, A.; MRÁZEK, V.; SEKANINA, L. Multi-Objective Evolutionary Design of Explainable EEG Classifier. Genetic Programming, 28th European Conference, EuroGP 2025. Lecture Notes in Computer Science. Terst: Springer Nature Switzerland AG, 2025. s. 52-67. ISBN: 978-3-031-89990-4.
  Detail | WWW

• 2024

  SCHWARZEROVÁ, J.; HURTA, M.; BARTOŇ, V.; LEXA, M.; WALTHER, D.; PROVAZNÍK, V.; WECKWERTH, W. A perspective on genetic and polygenic risk scores-advances and limitations and overview of associated tools. Briefings in Bioinformatics, 2024, roč. 25, č. 3, s. 1-11. ISSN: 1477-4054.
  Detail | WWW | Plný text v Digitální knihovně

• 2023

  HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. MODEE-LID: Multiobjective Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 26th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS). Tallinn: Institute of Electrical and Electronics Engineers, 2023. s. 155-160. ISBN: 979-8-3503-3277-3.
  Detail | WWW

  HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. Multi-objective Design of Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. Evo* 2023 -- Late-Breaking Abstracts Volume. Brno: 2023. s. 0-0.
  Detail | WWW

  HURTA, M.; MRÁZEK, V.; DRAHOŠOVÁ, M.; SEKANINA, L. ADEE-LID: Automated Design of Energy-Efficient Hardware Accelerators for Levodopa-Induced Dyskinesia Classifiers. In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE). Antwerp: Institute of Electrical and Electronics Engineers, 2023. s. 1-2. ISBN: 978-3-9819263-7-8.
  Detail | WWW

  HURTA, M.; SCHWARZEROVÁ, J.; NAGELE, T.; WECKWERTH, W.; PROVAZNÍK, V.; SEKANINA, L. Utilizing Genetic Programming to Enhance Polygenic Risk Score Calculation. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023). Istanbul: Institute of Electrical and Electronics Engineers, 2023. s. 3782-3787. ISBN: 979-8-3503-3748-8.
  Detail | WWW

  HURTA, M.; SCHWARZEROVÁ, J.; PROVAZNÍK, V.; WECKWERTH, W.; WALTHER, D.; SEKANINA, L. Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants. Program and Abstract Book: Swedish Bioinformatics Workshop 2023. Stockholm: 2023. s. 49-49.
  Detail | WWW

  SCHWARZEROVÁ, J.; HURTA, M.; WECKWERTH, W.; WALTHER, D. Decoding the Hidden Secrets of SNP Data: Revealing Ancestral Origins, Genomic Predictions, and Polygenic Risk Score. Germany: 2023.
  Detail

• 2022

  HURTA, M.; DRAHOŠOVÁ, M.; MRÁZEK, V. Evolutionary Design of Reduced Precision Preprocessor for Levodopa-Induced Dyskinesia Classifier. In Parallel Problem Solving from Nature - PPSN XVII. Lecture Notes in Computer Science. Dortmund: Springer Nature Switzerland AG, 2022. s. 491-504. ISBN: 978-3-031-14713-5.
  Detail | WWW

  HURTA, M.; DRAHOŠOVÁ, M.; SEKANINA, L.; SMITH, S.; ALTY, J. Evolutionary Design of Reduced Precision Levodopa-Induced Dyskinesia Classifiers. In Genetic Programming, 25th European Conference, EuroGP 2022. Lecture Notes in Computer Science. Madrid: Springer Nature Switzerland AG, 2022. s. 85-101. ISBN: 978-3-031-02055-1.
  Detail | WWW

*) Citace publikací se generují jednou za 24 hodin.