Publications by authors named "Roman Kern"

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Causal insights from clinical information in radiology: Enhancing future multimodal AI development.
Michael Jantscher, Felix Gunzer, Gernot Reishofer, Roman Kern

Comput Methods Programs Biomed· August 2025

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Exploration of transfer learning techniques for the prediction of PM.
Michael Poelzl, Roman Kern, Simonas Kecorius, Mario Lovrić

Sci Rep· January 2025

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Establishing and evaluating trustworthy AI: overview and research challenges.
Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Roman Kern

Front Big Data· November 2024

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Image capturing, segmentation and data analysis of shredded refuse streams.
Heimo Gursch, Elke Schlager, Franz Thaler, Georg Waltner, Harald Ganster, Roman Kern

Waste Manag Res· September 2024

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Interpretability of Causal Discovery in Tracking Deterioration in a Highly Dynamic Process.
Asha Choudhary, Matej Vuković, Belgin Mutlu, Michael Haslgrübler, Roman Kern

Sensors (Basel)· June 2024

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A historical perspective of biomedical explainable AI research.
Luca Malinverno, Vesna Barros, Francesco Ghisoni, Giovanni Visonà, Roman Kern

Patterns (N Y)· September 2023

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Information extraction from German radiological reports for general clinical text and language understanding.
Michael Jantscher, Felix Gunzer, Roman Kern, Eva Hassler, Sebastian Tschauner

Sci Rep· February 2023

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A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed.
Georgios Koutroulis, Belgin Mutlu, Roman Kern

Sensors (Basel)· December 2022

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ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines.
Joscha Eirich, Georgios Koutroulis, Belgin Mutlu, Dominik Jackle, Roman Kern

IEEE Comput Graph Appl· April 2022

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Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact.
Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern

PeerJ Comput Sci· November 2021

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Treatment outcome clustering patterns correspond to discrete asthma phenotypes in children.
Ivana Banić, Mario Lovrić, Gerald Cuder, Roman Kern, Matija Rijavec

Asthma Res Pract· August 2021

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Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints.
Mario Lovrić, Tomislav Đuričić, Han T N Tran, Hussain Hussain, Emanuel Lacić, Roman Kern

Pharmaceuticals (Basel)· August 2021

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Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma.
Mario Lovrić, Ivana Banić, Emanuel Lacić, Kristina Pavlović, Roman Kern

Children (Basel)· May 2021

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Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning.
Mario Lovrić, Kristina Pavlović, Matej Vuković, Stuart K Grange, Michael Haberl, Roman Kern

Environ Pollut· April 2021

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Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem.
Mario Lovrić, Olga Malev, Göran Klobučar, Roman Kern, Jay J Liu

Molecules· March 2021

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PySpark and RDKit: Moving towards Big Data in Cheminformatics.
Mario Lovrić, José Manuel Molero, Roman Kern

Mol Inform· June 2019

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Authorship identification of documents with high content similarity.
Andi Rexha, Mark Kröll, Hermann Ziak, Roman Kern

Scientometrics· February 2018

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Understanding why users tag: A survey of tagging motivation literature and results from an empirical study.
Markus Strohmaier, Christian Körner, Roman Kern

Web Semant· December 2012

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