Roman Kern

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Loop Mediated Isothermal Amplification

Wastewater Treatment

Endoscopic Submucosal Dissection

Machine Learning

Top Venues

Sensors (Basel, Switzerland)

Pharmaceuticals (Basel, Switzerland)

Children (Basel, Switzerland)

PeerJ. Computer science

This page only lists publications with an associated author ORCID identifier.

Publications

Asha Choudhary, Matej Vuković, Belgin Mutlu, Michael Haslgrübler, Roman Kern
Interpretability of Causal Discovery in Tracking Deterioration in a Highly Dynamic Process. Sensors (Basel, Switzerland) 24 (12) (2024)
Asha Choudhary, Matej Vuković, Belgin Mutlu, Michael Haslgrübler, Roman Kern
Interpretability of Causal Discovery in Tracking Deterioration in a Highly Dynamic Process. Sensors (Basel, Switzerland) 24 (12) (2024)
Georgios Koutroulis, Belgin Mutlu, Roman Kern
A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed. Sensors (Basel, Switzerland) 23 (1) (2022)
Georgios Koutroulis, Belgin Mutlu, Roman Kern
A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed. Sensors (Basel, Switzerland) 23 (1) (2022)
Georgios Koutroulis, Belgin Mutlu, Roman Kern
A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed. Sensors (Basel, Switzerland) 23 (1) (2022)
Mario Lovrić, Ivana Banić, Emanuel Lacić, Kristina Casni, Roman Kern, Mirjana Turkalji
Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma. Children (Basel, Switzerland) 8 (5) (2021)
Mario Lovrić, Olga Malev, Göran I V Klobučar, Roman Kern, Jay J Liu, Bono Lučić
Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem. Molecules (Basel, Switzerland) 26 (6) (2021)
Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern
Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ. Computer science 7 (2021)
Mario Lovrić, Tomislav Đuričić, Han T N Tran, Hussain Hussain, Emanuel Lacić, Morten A Rasmussen, Roman Kern
Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints. Pharmaceuticals (Basel, Switzerland) 14 (8) (2021)