Clemens Heitzinger

Clemens Heitzinger

Technische Universität Wien

H-index: 25

Europe-Austria

About Clemens Heitzinger

Clemens Heitzinger, With an exceptional h-index of 25 and a recent h-index of 16 (since 2020), a distinguished researcher at Technische Universität Wien, specializes in the field of mathematics, uncertainty quantification, reinforcement learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Short Introduction to Artificial Intelligence: Methods, Success Stories, and Current Limitations

Improving Sensor Interoperability between Contactless and Contact-Based Fingerprints Using Pose Correction and Unwarping

Centrality of the Fingerprint Core Location

Solving Stochastic Nonlinear Poisson-Boltzmann Equations Using a Collocation Method Based on RBFs

Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis

Control Flow

Methods for determining cancer

Local Optimization

Clemens Heitzinger Information

University

Position

___

Citations(all)

1862

Citations(since 2020)

833

Cited By

1344

hIndex(all)

25

hIndex(since 2020)

16

i10Index(all)

59

i10Index(since 2020)

30

Email

University Profile Page

Technische Universität Wien

Google Scholar

View Google Scholar Profile

Clemens Heitzinger Skills & Research Interests

mathematics

uncertainty quantification

reinforcement learning

Top articles of Clemens Heitzinger

Title

Journal

Author(s)

Publication Date

A Short Introduction to Artificial Intelligence: Methods, Success Stories, and Current Limitations

Hannes Werthner· Carlo Ghezzi· Jeff Kramer· Julian Nida-Rümelin· Bashar Nuseibeh· Erich Prem·

Clemens Heitzinger

Stefan Woltran

2024

Improving Sensor Interoperability between Contactless and Contact-Based Fingerprints Using Pose Correction and Unwarping

IET Biometrics

Laurenz Ruzicka

Dominik Söllinger

Bernhard Kohn

Clemens Heitzinger

Andreas Uhl

...

2023/12/18

Centrality of the Fingerprint Core Location

arXiv preprint arXiv:2310.07584

Laurenz Ruzicka

Bernhard Strobl

Bernhard Kohn

Clemens Heitzinger

2023/10/11

Solving Stochastic Nonlinear Poisson-Boltzmann Equations Using a Collocation Method Based on RBFs

Mathematics

S. Mokhtari

A. Mesforush

R. Mokhtari

R. Akbari

K. Heitzinger

2023/4/29

Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with Sepsis

Journal of Clinical Medicine

Razvan Bologheanu

Lorenz Kapral

Daniel Laxar

Mathias Maleczek

Christoph Dibiasi

...

2023/2/14

Control Flow

Clemens Heitzinger

2022/12/13

Methods for determining cancer

2022/7/21

Local Optimization

Clemens Heitzinger

2022/12/13

Superhuman performance on sepsis MIMIC-III data by distributional reinforcement learning

PLoS One

Markus Böck

Julien Malle

Daniel Pasterk

Hrvoje Kukina

Ramin Hasani

...

2022/11/3

Autoencoder based anomaly detection and explained fault localization in industrial cooling systems

arXiv preprint arXiv:2210.08011

Stephanie Holly

Robin Heel

Denis Katic

Leopold Schoeffl

Andreas Stiftinger

...

2022/10/14

Built-in Data Structures

Clemens Heitzinger

2022/12/13

Rational design of field-effect sensors using partial differential equations, Bayesian inversion, and artificial neural networks

Sensors

Amirreza Khodadadian

Maryam Parvizi

Mohammad Teshnehlab

Clemens Heitzinger

2022/6/24

Bayesian Estimation

Clemens Heitzinger

2022/12/13

Stochastic Galerkin methods for the Boltzmann-Poisson system

Journal of Computational Physics

José A Morales Escalante

Clemens Heitzinger

2022/10/1

User Defined Data Structures and the Type System

Clemens Heitzinger

2022/12/13

Evaluation of hyperparameter-optimization approaches in an industrial federated learning system

Stephanie Holly

Thomas Hiessl

Safoura Rezapour Lakani

Daniel Schall

Clemens Heitzinger

...

2022/3/30

Macros

Clemens Heitzinger

2022/12/13

Application of direct meshless local Petrov–Galerkin method for numerical solution of stochastic elliptic interface problems

Numerical Methods for Partial Differential Equations

Mostafa Abbaszadeh

Mehdi Dehghan

Amirreza Khodadadian

Clemens Heitzinger

2022/9

Algorithms with JULIA: Optimization, Machine Learning, and Differential Equations Using the JULIA Language

Clemens Heitzinger

2022/12/12

Comprehensive approach to distinguish patients with solid tumors from healthy controls by combining androgen receptor mutation p. H875Y with cell-free DNA methylation and …

Cancers

Elena Tomeva

Olivier J Switzeny

Clemens Heitzinger

Berit Hippe

Alexander G Haslberger

2022/1/17

See List of Professors in Clemens Heitzinger University(Technische Universität Wien)