FG NAM

Jose Alejandro Libreros M. Eng.

Scientific Assistant

Kirchhoffbau, Room K 3019
+49 3677 69-2871
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Research topics

  • Training strategies in crowdsourcing
  • Leveraging profiles in the design and recommendation of training content
  • Machine learning for automatic detection of unreliable crowdworkers

Mentoring of student work

  • Evaluating the Influence of Visualization Formats in Crowdsourced Assessments of Medical 3D Image Data in the Context of Vascularized Breast Cancer Spheroids (Media Project)
  • Different types of learning applied in crowdosurcing (Research Seminar)
  • Evaluating the Effects of Human and AI Phrased Instructions for Linguistically Diverse Crowdworkers in a Conversational Setting (Master Thesis)
  • Dynamic Refinement of Crowdworker Training for Identifying Tumors in Tissue Images Based on Individual Error Patterns (Master thesis)

Publication list

 

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      Libreros, Jose Alejandro; Gamboa, Edwin; Henke, Erik; Hirth, Matthias:
      Assessing the influence of feedback strategies on errors in crowdsourced annotation of tumor images
      #!ilm_mods_00075616!#
      In: Big data and cognitive computing, vol. 9 (2025), no. 9, art. 220
      DOI: https://doi.org/10.3390/bdcc9090220
      Mayas, Cindy; Libreros Montano, Jose Alejandro; Krömker, Heidi; Hirth, Matthias:
      Akzeptanz von Empfehlungssystemen für die berufliche Bildung
      #!ilm_mods_00020308!#
      In: Herausforderungen zeitgemässer Technikbildung im akademischen und berufsbildenden Sektor: Wege zu technischer Bildung : Referate der 17. Ingenieurpädagogischen Regionaltagung 2023 an der Technischen Universität Dresden und der Hochschule für Technik und Wirtschaft Dresden 15.-17. Juni 2023 (ISBN 978-3-9818728-7-3), (2024), pp. 259–264
      Libreros, Jose Alejandro; Shafiq, Muhammad Hamza; Gamboa, Edwin; Cleven, Martin; Hirth, Matthias:
      Visual transformers meet convolutional neural networks: providing context for convolution layers in semantic segmentation of remote sensing Photovoltaic Imaging
      #!ilm_mods_00019206!#
      In: Big data analytics and knowledge discovery: 26th international conference, DaWaK 2024, Naples, Italy, August 26-28, 2024 : proceedings (ISBN 978-3-031-68322-0), (2024), pp. 359–366
      DOI: https://doi.org/10.1007/978-3-031-68323-7_31
      Libreros, Jose; Gamboa, Edwin; Hirth, Matthias:
      Mistakes hold the key: reducing errors in a crowdsourced tumor annotation task by optimizing the training strategy
      #!ilm_mods_00014095!#
      In: Human-computer interaction: 9th Iberoamerican Workshop, HCI-COLLAB 2023, Buenos Aires, Argentina, September 13-15, 2023 : revised selected papers (ISBN 978-3-031-57983-7), (2024), pp. 210–224
      DOI: https://doi.org/10.1007/978-3-031-57982-0_17
      Rivas, Juan; Gutierrez-Gomez, Santiago; Villanueva-Congote, Juliana; Libreros, Jose; Camprodon, Joan Albert; Trujillo, María:
      Subcortical structures in demented schizophrenia patients: a comparative study
      #!ilm_mods_00002085!#
      In: Biomedicines: open access journal, vol. 11 (2023), no. 1, art. 233
      DOI: https://doi.org/10.3390/biomedicines11010233
      Gamboa, Edwin; Libreros, Alejandro; Hirth, Matthias; Dubiner, Dan:
      Human-AI collaboration for improving the identification of cars for autonomous driving
      #!ilm_mods_00002040!#
      In: CIKM-WS 2022: proceedings of the CIKM 2022 workshops, co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, USA, October 17-21, 2022, vol. 3318 (2023)
      [ACM CIKM Workshop Human-In-The-Loop Data Curation (HIL-DC) (Atlanta, Ga.; Online, 22.10.2022))]
      DOI: https://doi.org/10.22032/dbt.64547
      Libreros, Jose Alejandro; Mayas, Cindy; Hirth, Matthias:
      Recommender systems in continuing professional education for public transport: challenges of a human-centered design
      #!ilm_mods_00005667!#
      In: Adjunct proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization: 26-30 June, 2023 Limassol, Cyprus (ISBN 978-1-4503-9891-6), (2023), pp. 331–336
      DOI: https://doi.org/10.1145/3563359.3596995