EDBT 2026 Demo / reviewers in the wild / expert
Gregor Stiglic
dblp:67/6780
· DBLP profile ↗
5ranked-venue papers in the field
0as first author
4since 2021 · last 2025
0000-0002-0183-8679ORCID · verified
Domains — venue-derived; a paper can count in several
Data Mining & Knowledge Discovery · 4Big Data, Cloud & Distributed Data Systems · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Exploration of Augmentation Strategies in Multi-Modal Retrieval-Augmented Generation for the Biomedical Domain*: *A Case Study Evaluating Question Answering in Glycobiology
Primoz Kocbek, Azra Frkatovic-Hodzic, Dora Lalic, Vivian Hui, Gordan Lauc, Gregor Stiglic |
IEEE Big Data | 6 |
| 2023 | Workshop on Applied Data Science for Healthcare: Applications and New Frontiers of Generative Models for HealthcareabstractBuilt on the success of the past five years, KDD DSHealth 2023 will further catalyze the development of links between academic and industrial data science groups. The workshop aims to stimulate discussion on strategic areas for development and to facilitate future cross-disciplinary collaborations. In accordance with the multi-year goal to continue fostering this community via timely topics, this year the workshop will focus on the applications and new development of generative models in healthcare, including the new development and application of LLMs. The workshop invites full papers, as well as work-in-progress on the application of data science in healthcare. The workshop will feature two invited talks from eminent speakers, spanning academia, industry, clinical researchers, and governmental regulatory bodies. In addition, we will invite community members to submit their research works and bring them for discussion. The summary gives a brief description of the half-day workshop to be held on August 7th, 2023. Tao Xu 0020, Fei Wang 0001, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian 0001, Lixia Yao, Alexej Gossmann, Florian Buettner 0001 |
KDD | 5 |
| 2022 | Workshop on Applied Data Science for Healthcare (DSHealth): Transparent and Human-centered AIabstractKDD DSHealth 2022, aims to build on the success of the past four years to further catalyze the development of links between academic and commercial data science groups and the rapidly developing translational medicine informatics community. The workshop will stimulate discussion as to strategic areas for development and will lead to future cross-disciplinary collaborations. In accordance with the multi-year goal to continue fostering this community as a series of KDD workshops via timely topics, this year the workshop will focus on the transparency and human-centered AI in healthcare. The workshop invites full papers, as well as work-in-progress on the application of data science in healthcare. The workshop will feature four invited talks from eminent speakers, spanning academia, industry, clinical researchers, and governmental regulatory bodies. In addition, selected papers will be invited to publish in a special issue of Journal of Healthcare Informatics Research. The summary gives a brief description of the full-day workshop to be held on August 14th, 2022. Tao Xu 0020, Fei Wang 0001, Prithwish Chakraborty, Pei-Yun Sabrina Hsueh, Gregor Stiglic, Jiang Bian 0001, Lixia Yao, Alexej Gossmann, Florian Buettner 0001 |
KDD | 5 |
| 2021 | KDD Health Day/DSHealth 2021: Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare: State of XAI and Trustworthiness in HealthabstractKDD Health Day/DSHealth 2021, aims to build on the success of the past 3 years to further catalyze the development of links between academic and commercial data science groups and the rapidly developing translational medicine informatics community. The workshop will stimulate discussion as to strategic areas for development and will lead to future cross-disciplinary collaborations. In accordance with the multi-year goal to continue fostering this community as a series of KDD workshops via timely topics, this year the workshop will focus on the state of explainability and trustworthiness in healthcare. The workshop invites full papers, as well as work-in-progress on the application of data science in healthcare. The workshop will feature 8 invited talks from eminent speakers across academia, industry, clinical researchers, and governmental regulatory bodies. In addition, selected papers will be invited to publish in a special issue of Artificial Intelligence in Medicine journal. The summary gives a brief description of the full-day workshop to be held on August, 2021 virtually. Fei Wang 0001, Prithwish Chakraborty, Tao Xu 0020, Pei-Yun Sabrina Hsueh, Xudong Sun 0014, Gregor Stiglic, Gracy Crane, Jiang Bian 0001, Laleh Haghverdi, Lixia Yao, Florian Buettner 0001 |
KDD | 6 |
| 2015 | Guest editorial: Special issue on data mining for medicine and healthcare
Fei Wang 0001, Gregor Stiglic, Zoran Obradovic, Ian Davidson |
Data Min. Knowl. Discov. | 2 |