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  3. Paper accepted: IEEE ICDM 2025

Paper accepted: IEEE ICDM 2025

9 October 2025

Our paper "TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees" was accepted at IEEE ICDM 2025. Congratulations to Manolis and all people involved!

Aktuelles

Talk at LMU Statistics Department

Prof. Eirini Ntoutsi gave a talk at the Departmental Seminar of the Statistics Department at LMU on Socio-Economic Parity in AI Systems.

Participation at the Machine Learning Summer School 2026 at Columbia University

Manolis participated in the Machine Learning Summer School (MLSS) at Columbia University in New York.

Participation at the 20th Hellenic Data Management Symposium (HDMS 2026), held in Athens, Greece.

Prof. Eirini Ntoutsi and Manolis attended and presented at the 20th Hellenic Data Management Symposium (HDMS 2026), held in Athens, Greece.

BIAS workshop at ECML PKDD 2026

Prof. Eirini Ntoutsi will co-organize the 6th Workshop on Bias and Fairness in AI at ECML PKDD 2026.

Paper accepted in AI & Society journal

Our paper “Not a statistical accident: framing bias as a semiotic property of image datasets” has been accepted for publication in AI & Society. Congratulations to Simone and all co-authors!

MMM-Fair presented in the Demo Track at CIKM 2025

“MMM-Fair: An Interactive Toolkit for Exploring and Operationalizing Multi-Fairness Tradeoffs” was presented in the Demo Track at CIKM 2025, held in Seoul, Republic of Korea.

Kick-off Workshop of the DZdA Project – German Center for Digital Tasks in Higher Education Teaching

The kick-off workshop of the project German Center for Digital Tasks in Higher Education Teaching (DZdA) took place as a two-day intensive event with all nine project partners from universities across Germany. The host was OTH Amberg-Weiden, which, together with the strategic consulting firm pictomind GmbH, facilitated the event. The goal of the workshop was to establish a shared understanding of the project, define strategic objectives, and lay the foundation for successful collaboration.

Contact and postal address

Forschungsinstitut CODE / Professur Open Source Intelligence
Universität der Bundeswehr München
Werner-Heisenberg-Weg 39
85577 Neubiberg
+49 89 6004 7331

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Research Institute CODE
Room 2818
Carl-Wery-Str. 18
81739 Munich

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Univ.-Prof. Dr. Eirini Ntoutsi
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Universität der Bundeswehr München

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