Peer-reviewed · 2011 – 2025 Peer-Reviewed · 2011 – 2025

Publications Publikationen

Selected peer-reviewed work spanning AI robustness and regulation, LLM-based auditing, time-series forecasting, and stochastic neuroscience. Ausgewählte begutachtete Arbeiten zu KI-Robustheit und -Regulierung, LLM-gestütztem Audit, Zeitreihen-Forecasting und stochastischer Neurowissenschaft.

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2025

PETRA 2025

Cross-Disciplinary Concept Borrowing: A Critical Revision of a Robustness Analysis for Automatic Emotion Recognition in Conversations

Q. Tran, Q. Wang, L. Putzar, S. Blankenburg

robustness explainability affective-computing

2025

IJCNN 2025 · highlighted

Bridging AI and Regulation: Large Language Models for Documentation Compliance Check

Q. Tran, J. Salg, K. Shpileuskaya, Q. Wang, L. Putzar, S. Blankenburg

llms ai-audit eu-ai-act

2023

ACII 2023 · 11th International Conference on Affective Computing

Robustness Analysis Uncovers Language Proficiency Bias in Emotion Recognition Systems

Q. Tran, K. Shpileuskaya, E. Zaunseder, J. Salg, L. Putzar, S. Blankenburg

robustness fairness ai-audit

2022

IJCNN 2022

Comparing the Robustness of Classical and Deep Learning Techniques for Text Classification

Q. Tran, K. Shpileuskaya, E. Zaunseder, L. Putzar, S. Blankenburg

robustness llms nlp

2020

Springer Vieweg · Realisierung Utility 4.0

Digitalization of Over-the-Counter Energy Trading Processes

J. Bartenschlager, S. Blankenburg

energy blockchain explainability

2018

SoICT 2018 · Ninth International Symposium on Information and Communication Technology

High Accuracy Forecasting with Limited Input Data: Using FFNNs to Predict Offshore Wind Power Generation

E. Zaunseder, L. Putzar, S. Blankenburg

time-series energy deep-learning

2016

Doctoral Dissertation · Humboldt University of Berlin · summa cum laude

Theoretical Mechanisms of Information Filtering in Stochastic Single Neuron Models

S. Blankenburg

neuroscience physics information-theory

2016

Mathematical Biosciences and Engineering · Vol. 13, Issue 3

The Effect of Positive Interspike Interval Correlations on Neuronal Information Transmission

S. Blankenburg, B. Lindner

neuroscience time-series stochastic

2015

Journal of Computational Neuroscience · Vol. 39, Issue 3

Information Filtering in Resonant Neurons

S. Blankenburg, W. Wu, S. Schreiber, B. Lindner

neuroscience information-theory

2012

Communications in Computational Physics · Vol. 11, Issue 5

Monte Carlo Simulations of Elastic Scattering with Applications to DC and High-Power Pulsed Magnetron Sputtering for Ti₃SiC₂

J. Geiser, S. Blankenburg

physics monte-carlo

2011

Modelling & Simulation in Engineering

Plasma and Bias Modeling: Self-Consistent Electrostatic Particle-in-Cell Simulation with Low-Density Argon Plasma for TiC