Roman Kern

发表

Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints

M. Lovrić, Tomislav Đuričić, Han T N Tran, 2021, Pharmaceuticals.

Theory-inspired machine learning—towards a synergy between knowledge and data

Bernhard C. Geiger, M. Lovrić, Roman Kern, 2022, Welding in the World.

Machine learning in prediction of intrinsic aqueous solubility of drug‐like compounds: Generalization, complexity, or predictive ability?

Adrian F. Spataru, Petar Žuvela, M. Lovrić, 2020, Journal of Chemometrics.

Understanding the true effects of the COVID-19 lockdown on air pollution by means of machine learning

M. Haberl, M. Lovrić, Roman Kern, 2020, Environmental Pollution.

Theory-inspired machine learning—towards a synergy between knowledge and data

Franz M. Rohrhofer, Bernhard C. Geiger, M. Lovrić, 2022, Welding in the World.

Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma

M. Lovrić, Emanuel Lacić, Roman Kern, 2020, Children.

Constructing robust health indicators from complex engineered systems via anticausal learning

Roman Kern, Georgios Koutroulis, Belgin Mutlu, 2022, Eng. Appl. Artif. Intell..

Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks

M. Strohmaier, D. Helic, Sandipan Sikdar, 2022, ArXiv.

Mesh-Free Surrogate Models for Structural Mechanic FEM Simulation: A Comparative Study of Approaches

P. Ofner, Roman Kern, B. Geiger, 2021, Applied Sciences.

On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks pdf

Denis Helic, Elisabeth Lex, Tomislav Duricic, 2020, COMPLEX NETWORKS.

Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models

Stefanie Lindstaedt, Roman Kern, Richard Meister, 2020, Adv. Model. Simul. Eng. Sci..

KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines

Georgios Koutroulis, Konrad Diwold, Belgin Mutlu, 2021, ACM Trans. Intell. Syst. Technol..

Reconsidering Read and Spontaneous Speech: Causal Perspectives on the Generation of Training Data for Automatic Speech Recognition

Bernhard C. Geiger, Roman Kern, Barbara Schuppler, 2023, Inf..

Enhanced Active Learning of Convolutional Neural Networks: A Case Study for Defect Classification in the Semiconductor Industry

Stefan Thalmann, Georgios Koutroulis, Roman Kern, 2020, KDIR.

Astro- and Geoinformatics – Visually Guided Classification of Time Series Data

Vedran Sabol, Roman Kern, T. Al-Ubaidi, 2020 .

Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem

M. Lovrić, Roman Kern, G. Klobučar, 2021, Molecules.

Machine learning in continuous casting of steel: a state-of-the-art survey

Gerald Klösch, Roman Kern, Heimo Gursch, 2021, Journal of Intelligent Manufacturing.

Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact

J. Egger, Antonio Pepe, Roman Kern, 2020, PeerJ Comput. Sci..

KI-Waste - Combining Image Recognition and Time Series Analysis in Refuse Sorting

Georg Waltner, Christian Payer, Harald Ganster, 2021 .

Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks

M. Strohmaier, D. Helic, Sandipan Sikdar, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Body mass index, body image dissatisfaction, and eating disorder symptoms in female aquatic sports: Comparison between artistic swimmers and female water polo players

M. Lovrić, Roman Kern, Jasmina Parlov, 2020 .

Detecting Outliers in Non-IID Data: A Systematic Literature Review

Roman Kern, Faiza Qureshi, Stefanie N. Lindstaedt, 2023, IEEE Access.

A Health Factor for Process Patterns Enhancing Semiconductor Manufacturing by Pattern Recognition in Analog Wafermaps

Anna Jenul, Stefan Schrunner, Roman Kern, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Treatment outcome clustering patterns correspond to discrete asthma phenotypes in children

P. Korošec, M. Lovrić, Roman Kern, 2021, Asthma Research and Practice.

Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots pdf

Gjergji Kasneci, Giovanna Tinetti, Michael Granitzer, 2020, ArXiv.

State-Space Constraints Improve the Generalization of the Differentiable Neural Computer in some Algorithmic Tasks pdf

Roman Kern, Patrick Ofner, P. Ofner, 2021, ArXiv.