2 citations · 2 across the 5 of their papers we have counts for
5 papers
CytoBERT: A Foundation Model for Cytometry Data
Syed Abdul Haseeb Qadri, Bjarne C. Hiller, Felix Blanke +7
Cytometry measures the complex characteristics of single cells (e.g., counts and protein expression of immune cells) and is widely used across immunological research and clinical s…
SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers
Tom Siegl, Kutalmış Coşkun, Bjarne C. Hiller +3
Machine learning (ML) is increasingly employed in real-world applications like medicine or economics, thus, potentially affecting large populations. However, ML models often do not…
Informed, but Not Always Improved: Challenging the Benefit of Background Knowledge in GNNs
Kutalmış Coşkun, Ivo Kavisanczki, Amin Mirzaei +4
In complex and low-data domains such as biomedical research, incorporating background knowledge (BK) graphs, such as protein-protein interaction (PPI) networks, into graph-based ma…
Evolving Markov Chains: Unsupervised Mode Discovery and Recognition from Data Streams
Kutalmış Coşkun, Borahan Tümer, Bjarne C. Hiller +1
Markov chains are simple yet powerful mathematical structures to model temporally dependent processes. They generally assume stationary data, i.e., fixed transition probabilities b…
SimDem A Multi-agent Simulation Environment to Model Persons with Dementia and their Assistance
Muhammad Salman Shaukat, Bjarne Christian Hiller, Sebastian Bader +1
Developing artificial intelligence based assistive systems to aid Persons with Dementia (PwD) requires large amounts of training data. However, data collection poses ethical, legal…