Roman Kern

Graz University of Technology

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Recent Grants

Grant: Close

Cross-layer language models for conversational speech

Open Date: 2019-11-01

Close Date: 2023-10-31

Grant: Close

UDEQI - Qualitätssicherung der Umfelddatenerfassung

Open Date: 2015-01-01

Articles (30)

Collaborators (4)

Barbara Schuppler

Graz University of Technology (90000)

Tobias Schreck

Graz University of Technology (90000)

Andreas Trügler

Graz University of Technology

Nikolaos Nikolaou

Lecturer in Data Intensive Science

University College London

UNITED KINGDOM

Roman Kern

Research Interests

Explore related searches

Contact this professor

Recent Grants

Articles (30)

Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey

Detecting abrupt changes in missing time series data

Causal insights from clinical information in radiology: Enhancing future multimodal AI development

On the Role of Priors in Bayesian Causal Learning

Enhancing OCR in historical documents with complex layouts through machine learning

Increasing the Accessibility of Causal Domain Knowledge via Causal Information Extraction Methods: A Case Study in the Semiconductor Manufacturing Industry

Large Language Models for Electronic Health Record De-Identification in English and German

Exploration of transfer learning techniques for the prediction of PM10

Automatically generated place descriptions for accurate location identification: a hybrid approach with rule-based methods and LLM

Assessing trustworthy AI: Technical and legal perspectives of fairness in AI

Robust Bayesian target vector optimization for multi-stage manufacturing processes

Interpretability of Causal Discovery in Tracking Deterioration in a Highly Dynamic Process

Effects of Class Imbalance Countermeasures on Interpretability

On the Role of Priors in Bayesian Causal Learning

Improving FMEA Comprehensibility via Common-Sense Knowledge Graph Completion Techniques

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

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

Solving multi-objective inverse problems of chained manufacturing processes

SAGA: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications

User-Driven Toponym Disambiguation Using Dialogue

A historical perspective of biomedical explainable AI research

Information extraction from German radiological reports for general clinical text and language understanding

Lessons learned from the 1st Ariel Machine Learning Challenge: Correcting transiting exoplanet light curves for stellar spots

ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines

A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed

Constructing robust health indicators from complex engineered systems via anticausal learning

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

How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing

Improving the Consistency of the Failure Mode Effect Analysis (FMEA) Documents in Semiconductor Manufacturing

Gaussian Process Surrogates for Modeling Uncertainties in a Use Case of Forging Superalloys

Collaborators (4)

Barbara Schuppler

Tobias Schreck

Andreas Trügler

Nikolaos Nikolaou

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