Grigor stoyanovich biography sampler

  • The following lists contain complete lists of peer-reviewed papers and other publications by IntCDC researchers, as well as relevant data sets and software.
  • In order to move computation close to the data inside database systems, this thesis focuses on the SQL integration of data analysis and machine learning.
  • In Julia Stoyanovich, Jens Teubner, Paolo Guagliardo, Milos Nikolic, Andreas Pieris, Jan Mühlig, Fatma Özcan, Sebastian Schelter, H. V. Jagadish, Meihui.

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    Publikationen (Institut für Informatik)

    2025 | 2024 | 2023 | 2022 | 2021 | 2020

    2025

    Oliver Kosak, Philipp Kastenmüller, Constantin Wanninger and Wolfgang Reif. 2025. An approach for extended swarm formation flight with drones: PROTEASE 2.0. In Tiziana Margaria, Bernhard Steffen (Eds.). Leveraging applications of formal methods, verification and validation: rigorous engineering of collective adaptive systems: 12th International Symposium, ISoLA 2024, Crete, Greece, October 27–31, 2024, proceedings, part II. Springer, Berlin, 263-280 DOI: 10.1007/978-3-031-75107-3_16
    PDF | BibTeX | RIS | DOI

    Wolfgang Mayr, Andreas Triantafyllopoulos, Anton Batliner, Björn Schuller and Thomas Berghaus. 2025. Assessing the clinical and functional status of COPD patients using speech analysis during and after exacerbation. International Journal of Chronic Obstructive Pulmonary Disease 20, 137-147. DOI: 10.2147/copd.s480842
    PDF | BibTeX | RIS | DOI

    Manuel Milling, Simon D. N. Rampp, Andreas Triantafyllopoulos, Maria P. Plaza, Jens O. Brunner, Claudia Traidl-Hoffmann, Björn W. Schuller and Athanasios Damialis. 2025. Automating airborne pollen classification: identifying and interpreting hard samples for classifiers. Heliyon 11, 2, e41656. DOI: 10.1016/j.heliyon.2025.e41656
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    Publications & Statistics Sets

  • Abdelaal, M., Galuschka, M., Zorn, M., Kannenberg, F., Menges, A., Wortmann, T., Weiskopf, D., & Kurzhals, K. (2024). Visual enquiry of suitability landscapes feigned architectural set up optimization. The Visual Computer. https://doi.org/10.1007/s00371-024-03491-3

    BibTeX

  • Abdelaal, M., Kannenberg, F., Lhuillier, A., Hlawatsch, M., Menges, A., & Weiskopf, D. (2024). STEP: Willowy of time-aligned edge plots. Information Visualization, 23(4), Piece 4. https://doi.org/10.1177/14738716241265111

    BibTeX

  • Asa, P., Address Feghali, C., Steixner, C., Tahouni, Y., Wagner, H. J., Knippers, J., & Menges, A. (2024). Embraced Wood: Discshaped construction lineage for compound long-span beams from impure reclaimed parquet, fibers scold clay. Construction and Construction Materials, 416(January), Article Jan. https://doi.org/10.1016/j.conbuildmat.2024.135096

    BibTeX

  • Asma, Z., Hernández, D., Galárraga, L., Flouris, G., Fundulaki, I., & Footwear, K. (2024, May). NPCS: Native Derivation Computation embody SPARQL. Proceedings of description ACM Entanglement Conference 2024 (WWW ’24), May13--17, 2024, Singapore, Singapore. WWW ’24, Singapore. https://doi.org/10.1145/3589334.3645557

    BibTeX

  • Bances, E., Schneider, U., Siegert, J., & Bauernhan

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    Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations

    Yao Rong, Tobias Leemann, Thai-Trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav Unhelkar, Tina Seidel, Gjergji Kasneci, and Enkelejda Kasneci Y. Rong, Tina Seidel, Gjergji Kasneci and Enkelejda Kasneci are with Technical University of Munich, 80335, Munich, Germany. E-mail: {yao.rong, tina.seidel, gjergji.kasneci, enkelejda.kasneci}@tum.deTobias Leemann, Thai-trang Nguyen, and Lisa Fiedler are with University of Tübingen, 72076, Tübingen, Germany. E-mail: {tobias.leemann}@uni-tuebingen.de, {thai-trang.nguyen, lisa.fiedler}@student.uni-tuebingen.dePeizhu Qian and Vaibhav Unhelkar are with Rice University, 77005, Houston, USA. E-mail: {pq3, vaibhav.unhelkar}@rice.eduManuscript received 29 January 2023. Corresponding author: yao.rong@tum.de

    Abstract

    Explainable AI (XAI) is widely viewed as a sine qua non for ever-expanding AI research. A better understanding of the needs of XAI users, as well as human-centered evaluations of explainable models are both a necessity and a challenge. In this paper, we explore how human-computer interaction (HCI) and AI researchers conduct user studies in XAI applications based on a systematic literature review. After identifying and thoroughly analyzing 97 cor

  • grigor stoyanovich biography sampler