Heike Leitte

University of Kaiserslautern — Germany

Computer Science · Physical Sciences

16h-index1.0kcitations82works0.92yr avg
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Research Topics

Data Visualization and Analytics(26), Topological and Geometric Data Analysis(17), Advanced Vision and Imaging(8), Computer Graphics and Visualization Techniques(7), Anomaly Detection Techniques and Applications(7)

Publications82 total

Companion code for: Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Companion code for: Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Superstudent intelligence in thermodynamics
Physics Education·2026Open Access
Batch Distillation Data for Developing Machine Learning Anomaly Detection Methods
ArXiv.org·2025Open Access
Formally Exploring Time-Series Anomaly Detection Evaluation Metrics
arXiv (Cornell University)·2025Open Access
Using large language models for solving textbook-style thermodynamic problems
Computers & Chemical Engineering·2025· 1 citedOpen Access
Superstudent intelligence in thermodynamics
arXiv (Cornell University)·2025Open Access
Accelerating Computation of Stable Merge Tree Edit Distances Using Parameterized Heuristics
IEEE Transactions on Visualization and Computer Graphics·2025· 4 citedOpen Access
Machine Learning-Augmented Boundary Value Problem Solvers for Optimizing Melt Spinning Processes
2025
Hierarchical matrix completion for the prediction of properties of binary mixtures
Computers & Chemical Engineering·2025· 3 citedOpen Access
Using Large Language Models for Solving Thermodynamic Problems
ArXiv.org·2025Open Access
Accelerating Computation of Stable Merge Tree Edit Distances using Parameterized Heuristics
arXiv (Cornell University)·2025Open Access
Machine Learning for Optimizing the Homogeneity of Spunbond Nonwovens
Cognitive technologies·2025· 3 citedOpen Access
Visual Anomaly Detection in Temporal Knowledge Graphs
2024
Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixtures
arXiv (Cornell University)·2024· 1 citedOpen Access
KnowTD─An Actionable Knowledge Representation System for Thermodynamics
Journal of Chemical Information and Modeling·2024· 4 citedOpen Access
Informed Machine Learning for Optimizing Melt Spinning Processes
2024· 2 cited
Machine Learning Based Optimization Workflow for Tuning Numerical Settings of Differential Equation Solvers for Boundary Value Problems
arXiv (Cornell University)·2024Open Access
Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation
arXiv (Cornell University)·2024Open Access
Vorschau: Chem. Ing. Tech. 7/2023
Chemie Ingenieur Technik·2023Open Access
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Frequent Co-authors

Bastian Rieck(12), Christoph Garth(10), Fabian Jirasek(7), Jonas Lukasczyk(6), Hans Hasse(6), Bernd Hamann(5), Christopher Kappe(5), Jens Fangerau(4), Joachim Wittbrodt(4), Filip Sadlo(4), Jan‐Tobias Sohns(4), Michael Böttinger(4), Sophie Fellenz(4), Ross Maciejewski(3), Anna‐Pia Lohfink(3), Simon D. Duque Antón(3), Hans Hagen(3), Felix Claus(3), Burkhard Höckendorf(3), Christian Heine(2)