Search Results - "Kern, Roman"
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1
A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed
Published in Sensors (Basel, Switzerland) (27-12-2022)“…Critical infrastructure, such as water treatment facilities, largely relies on the effective functioning of industrial control systems (ICSs). Due to the wide…”
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2
Machine learning in continuous casting of steel: a state-of-the-art survey
Published in Journal of intelligent manufacturing (01-08-2022)“…Continuous casting is the most important route for the production of steel today. Due to the physical, mechanical, and chemical components involved in the…”
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3
Improving the Consistency of the Failure Mode Effect Analysis (FMEA) Documents in Semiconductor Manufacturing
Published in Applied sciences (01-02-2022)“…Digitalization of causal domain knowledge is crucial. Especially since the inclusion of causal domain knowledge in the data analysis processes helps to avoid…”
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4
Interpretability of Causal Discovery in Tracking Deterioration in a Highly Dynamic Process
Published in Sensors (Basel, Switzerland) (08-06-2024)“…In a dynamic production processes, mechanical degradation poses a significant challenge, impacting product quality and process efficiency. This paper explores…”
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5
Information extraction from German radiological reports for general clinical text and language understanding
Published in Scientific reports (09-02-2023)“…Recent advances in deep learning and natural language processing (NLP) have opened many new opportunities for automatic text understanding and text processing…”
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6
Effects of Class Imbalance Countermeasures on Interpretability
Published in IEEE access (2024)“…The widespread use of artificial intelligence (AI) in more and more real-world applications is accompanied by challenges that are not obvious at first glance…”
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7
Detecting Outliers in Non-IID Data: A Systematic Literature Review
Published in IEEE access (2023)“…Outlier detection (outlier and anomaly are used interchangeably in this review) in non-independent and identically distributed (non-IID) data refers to…”
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8
Improving FMEA comprehensibility via common-sense knowledge graph completion techniques
Published in IEEE access (01-01-2023)“…The Failure Mode Effect Analysis process (FMEA) is widely used in industry for risk assessment, as it effectively captures and documents domain-specific…”
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9
Predictive Capability of QSAR Models Based on the CompTox Zebrafish Embryo Assays: An Imbalanced Classification Problem
Published in Molecules (Basel, Switzerland) (15-03-2021)“…The CompTox Chemistry Dashboard (ToxCast) contains one of the largest public databases on Zebrafish ( ) developmental toxicity. The data consists of 19…”
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10
Gaussian Process Surrogates for Modeling Uncertainties in a Use Case of Forging Superalloys
Published in Applied sciences (01-02-2022)“…The avoidance of scrap and the adherence to tolerances is an important goal in manufacturing. This requires a good engineering understanding of the underlying…”
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11
Mesh-Free Surrogate Models for Structural Mechanic FEM Simulation: A Comparative Study of Approaches
Published in Applied sciences (01-10-2021)“…The technical world of today fundamentally relies on structural analysis in the form of design and structural mechanic simulations. A traditional and robust…”
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12
Deep learning-a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
Published in PeerJ. Computer science (17-11-2021)“…Deep learning belongs to the field of artificial intelligence, where machines perform tasks that typically require some kind of human intelligence. Deep…”
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13
Reconsidering Read and Spontaneous Speech: Causal Perspectives on the Generation of Training Data for Automatic Speech Recognition
Published in Information (Basel) (01-02-2023)“…Superficially, read and spontaneous speech—the two main kinds of training data for automatic speech recognition—appear as complementary, but are equal: pairs…”
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14
Should We Embed in Chemistry? A Comparison of Unsupervised Transfer Learning with PCA, UMAP, and VAE on Molecular Fingerprints
Published in Pharmaceuticals (Basel, Switzerland) (02-08-2021)“…Methods for dimensionality reduction are showing significant contributions to knowledge generation in high-dimensional modeling scenarios throughout many…”
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15
The interplay between communities and homophily in semi-supervised classification using graph neural networks
Published in Applied network science (26-10-2021)“…Graph Neural Networks (GNNs) are effective in many applications. Still, there is a limited understanding of the effect of common graph structures on the…”
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16
Predicting Treatment Outcomes Using Explainable Machine Learning in Children with Asthma
Published in Children (Basel) (10-05-2021)“…Asthma in children is a heterogeneous disease manifested by various phenotypes and endotypes. The level of disease control, as well as the effectiveness of…”
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17
Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models
Published in Advanced modeling and simulation in engineering sciences (18-11-2020)“…In industrial electro galvanizing lines aged anodes deteriorate zinc coating distribution over the strip width, leading to an increase in electricity and zinc…”
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18
Treatment outcome clustering patterns correspond to discrete asthma phenotypes in children
Published in Asthma research and practice (03-08-2021)“…Abstract Despite widely and regularly used therapy asthma in children is not fully controlled. Recognizing the complexity of asthma phenotypes and endotypes…”
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19
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Published in The Artificial intelligence review (01-02-2023)“…Deep learning (DL) models for natural language processing (NLP) tasks often handle private data, demanding protection against breaches and disclosures. Data…”
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20
Constructing robust health indicators from complex engineered systems via anticausal learning
Published in Engineering applications of artificial intelligence (01-08-2022)“…In prognostics and health management (PHM), the task of constructing comprehensive health indicators (HI) from huge amounts of condition monitoring data plays…”
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