31.05.2024

MCML at CAiSE 2024

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to CAiSE 2024. Congrats to our researchers!

R. S. Oyamada • G. M. Tavares • S. B. Junior • P. Ceravolo
Enhancing Predictive Process Monitoring with Time-Related Feature Engineering.
CAiSE 2024 - 36th International Conference on Advanced Information Systems Engineering. Limassol, Cyprus, Jun 03-07, 2024. DOI

20.07.2026

How Fair Does AI Seem in Job Interviews?

A new study by Enkelejda Kasneci examines how applicants perceive fairness in AI-driven job interviews.

20.07.2026

TUM Develops Intelligent 3D Twins of Crime Scenes

AI-powered 3D twins enable investigators to analyze virtual crime scenes through interactive object recognition and scene understanding.

09.07.2026

MCML Junior Member Bolei Ma Earns Best Paper and SAC Highlight Awards at ACL 2026

Bolei Ma receives a Best Paper Award and an SAC Highlight Award at ACL 2026 for outstanding contributions to NLP research.

08.07.2026

How Autonomous Systems Learn to Understand Their Environment

The team at the startup SE3 Labs has developed a spatial AI technology that uses images, videos, and map data to create realistic 3D models.

08.07.2026

MCML Junior Member Sarah Ball Receives Outstanding Position Paper Award at ICML 2026

MCML Junior Member Sarah Ball and her co-author Phil Hackemann received the Outstanding Position Paper Award at ICML 2026 this week in Seoul.

2024-05-31 - Last modified: 2024-05-31