Home  | News

13.05.2023

Tiny logo
Teaser image to MCML at MSR 2023

MCML at MSR 2023

One Accepted Paper

IEEE/ACM 20th International Conference on Mining Software Repositories, Melbourne, Australia, May 15-16, 2023

We are happy to announce that MCML researchers have contributed a total of 1 paper to MSR 2023. Congrats to our researchers!

Main Track (1 paper)

A.-K. Wickert • C. Damke • L. Baumgärtner • E. Hüllermeier • M. Mezini
UnGoML: Automated Classification of unsafe Usages in Go.
MSR 2023 - IEEE/ACM 20th International Conference on Mining Software Repositories. Melbourne, Australia, May 15-16, 2023. FOSS (Free, Open Source Software) Impact Paper Award. DOI GitHub

#research #top-tier-work #huellermeier
Subscribe to RSS News feed

Related

Link to Zigzag Your Way to Faster, Smarter AI Image Generation

20.11.2025

Zigzag Your Way to Faster, Smarter AI Image Generation

ZigMa, introduced by Björn Ommer’s group at ECCV 24, improves high-res AI image and video generation with fast, memory-efficient zigzag scanning.

Link to Anne-Laure Boulesteix Among the World’s Most Cited Researchers

13.11.2025

Anne-Laure Boulesteix Among the World’s Most Cited Researchers

MCML PI Anne‑Laure Boulesteix named Highly Cited Researcher 2025 for cross-field work, among 17 LMU scholars recognized globally.

Link to Björn Ommer Featured in Frankfurter Rundschau

13.11.2025

Björn Ommer Featured in Frankfurter Rundschau

Björn Ommer highlights how Google’s new AI search mode impacts publishers, content visibility, and the diversity of online information.

Link to Fabian Theis Among the World’s Most Cited Researchers

13.11.2025

Fabian Theis Among the World’s Most Cited Researchers

Fabian Theis is named a Highly Cited Researcher 2025 for his work in mathematical modeling of biological systems.

Link to Explaining AI Decisions: Shapley Values Enable Smart Exosuits

13.11.2025

Explaining AI Decisions: Shapley Values Enable Smart Exosuits

AI meets wearable robotics: MCML and Harvard researchers make exosuits smarter and safer with explainable optimization, presented at ECML-PKDD 2025.

Back to Top