490 citations · 936 across the 13 of their papers we have counts for
14 papers
A document is worth a structured record: Principled inductive bias design for document recognition
Benjamin Meyer, Lukas Tuggener, Sascha Hänzi +5
Many document types use intrinsic, convention-driven structures that serve to encode precise and structured information, such as the conventions governing engineering drawings. How…
Learning Actionable World Models for Industrial Process Control
Peng Yan, Ahmed Abdulkadir, Gerrit A. Schatte +7
To go from (passive) process monitoring to active process control, an effective AI system must learn about the behavior of the complex system from very limited training data, formi…
A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions
Pascal J. Sager, Benjamin Meyer, Peng Yan +7
Agents for computer use (ACUs) are an emerging class of systems capable of executing complex tasks on digital devices -- such as desktops, mobile phones, and web platforms -- given…
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley +4
Automating the monitoring of industrial processes has the potential to enhance efficiency and optimize quality by promptly detecting abnormal events and thus facilitating timely in…
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir +25
Disease heterogeneity has been a critical challenge for precision diagnosis and treatment, especially in neurologic and neuropsychiatric diseases. Many diseases can display multipl…
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
Ahmad Chaddad, Qizong lu, Jiali Li +5
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in each domain is driven by a growing body of annotated data, increased computational re…