Werner Zellinger

1.1k citations

19 papers · 338 indexed · h-index 8

Impact in

Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
Biophysics top 10%
- Spectroscopy Techniques in Biomedical and Chemical Research

Papers in ⓘ

Artificial Intelligence 10
- Domain Adaptation and Few-Shot Learning 5
- Adversarial Robustness in Machine Learning 4
- Machine Learning and ELM 3
- Neural Networks and Applications 2
Computer Vision and Pattern Recognition 6
- Image and Video Quality Assessment 2
- Advanced Vision and Imaging 2

Co-authors: Susanne Saminger‐Platz (6 shared papers)Bernhard Moser (12 shared papers)Ramin Nikzad‐Langerodi (3 shared papers)Edwin Lughofer (3 shared papers)Thomas Grubinger (2 shared papers)Thomas Natschläger (2 shared papers)Fabio Roli (1 shared paper)Ambra Demontis (1 shared paper)
Journals: Information Sciences (2 papers)Journal of Imaging Science and Technology (1 paper)Knowledge-Based Systems (1 paper)Analytical Chemistry (1 paper)Journal of Intelligent Manufacturing (1 paper)
Partner nations: Austria Italy Switzerland

In The Last Decade

Werner Zellinger

17 papers receiving 327 citations

Peers

Countries citing papers authored by Werner Zellinger

Since Specialization

Citations

This map shows the geographic impact of Werner Zellinger's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Werner Zellinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Werner Zellinger more than expected).

Fields of papers citing papers by Werner Zellinger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Werner Zellinger. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Werner Zellinger. The network helps show where Werner Zellinger may publish in the future.

Co-authors

The 25 scholars most cited alongside Werner Zellinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Werner Zellinger Line = papers co-authored together Werner Zellinger links everyone, so they are left out of the graph.

All Works

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19 of 19 papers shown

#	Work
1	Robust unsupervised domain adaptation for neural networks via moment alignment Information Sciences ·Werner Zellinger, Bernhard Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger‐Platz	2019	68
2	Domain-Invariant Partial-Least-Squares Regression Analytical Chemistry ·Ramin Nikzad‐Langerodi, Werner Zellinger, Edwin Lughofer, Susanne Saminger‐Platz	2018	65
3	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning ACM Computing Surveys ·Antonio Emanuele Ciná, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard A. Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli	2023	58
4	Domain adaptation for regression under Beer–Lambert’s law Knowledge-Based Systems ·Ramin Nikzad‐Langerodi, Werner Zellinger, Susanne Saminger‐Platz, Bernhard Moser	2020	51
5	AI System Engineering—Key Challenges and Lessons Learned SHILAP Revista de lepidopterología ·Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobiezky, Werner Zellinger, David James Brunner, Mohit Kumar, Bernhard A. Moser	2020	29
6	Multi-source transfer learning of time series in cyclical manufacturing Journal of Intelligent Manufacturing ·Werner Zellinger, Thomas Grubinger, Michael Zwick, Edwin Lughofer, Holger Schöner, Thomas Natschläger, Susanne Saminger‐Platz	2019	19
7	Beyond federated learning: On confidentiality-critical machine learning applications in industry Procedia Computer Science ·Werner Zellinger, Volkmar Wieser, Mohit Kumar, David James Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser	2021	14
8	On a regularization of unsupervised domain adaptation in RKHS Applied and Computational Harmonic Analysis ·Elke R. Gizewski, Lukas Mayer‐Suess, Bernhard Moser, Duc Hoan Nguyen, Sergiy Pereverzyev, Sergei V. Pereverzyev, Natalia Shepeleva, Werner Zellinger	2021	8
9	Domain-Invariant Regression Under Beer-Lambert's Law Ramin Nikzad‐Langerodi, Werner Zellinger, Susanne Saminger‐Platz, Bernhard Moser	2019	6
10	Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos Electronic Imaging ·Werner Zellinger, Bernhard Moser, Ayadi Chouikhi, Florian Seitner, Matej Nezveda, Margrit Gelautz	2016	6
11	Rethinking data augmentation for adversarial robustness Information Sciences ·Hamid Eghbal-zadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Moser, Battista Biggio, Gerhard Widmer	2023	4
12	Domain Generalization by Functional Regression Numerical Functional Analysis and Optimization ·Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger	2024	2
13	On the optimization of material usage in power transformer manufacturing Georgios C. Chasparis, Werner Zellinger, Verena Haunschmid, Markus Riedenbauer, Reinhard Stumptner	2016	2
14	Trifocal system for high-quality inter-camera mapping and virtual view synthesis Florian Seitner, Matej Nezveda, Margrit Gelautz, Georg Braun, Christian Kapeller, Werner Zellinger, Bernhard Moser	2015	2
15	Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast Journal of Imaging Science and Technology ·Werner Zellinger, Bernhard Moser	2015	2
16	Learning Bounds for Moment-Based Domain Adaptation. arXiv (Cornell University) ·Werner Zellinger, Bernhard Moser, Susanne Saminger‐Platz	2020	1
17	Tessellation-Filtering ReLU Neural Networks Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence ·Bernhard Moser, Michał Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan	2022	1
18	The balancing principle for parameter choice in distance-regularized domain adaptation Neural Information Processing Systems ·Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Moser	2021	0
19	On the truncated Hausdorff moment problem under Sobolev regularity conditions Applied Mathematics and Computation ·Werner Zellinger, Bernhard Moser	2021	0

About Werner Zellinger

Werner Zellinger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Biophysics and Biomedical Engineering, having authored 19 papers that have together received 338 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (5 papers), Adversarial Robustness in Machine Learning (4 papers), Machine Learning and ELM (3 papers), Advanced Chemical Sensor Technologies (2 papers), Neural Networks and Applications (2 papers), Image and Video Quality Assessment (2 papers), Spectroscopy Techniques in Biomedical and Chemical Research (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Analytical Chemistry (75 citations), Biophysics (43 citations), Artificial Intelligence (167 citations), Signal Processing (35 citations) and Computer Vision and Pattern Recognition (44 citations). Werner Zellinger has collaborated with scholars based in Austria, Italy and Switzerland. Frequent co-authors include Susanne Saminger‐Platz, Bernhard Moser, Ramin Nikzad‐Langerodi, Edwin Lughofer, Thomas Grubinger, Thomas Natschläger, Fabio Roli, Ambra Demontis, Sebastiano Vascon and Alina Oprea. Their work appears in journals such as Information Sciences, Journal of Imaging Science and Technology, Knowledge-Based Systems, Analytical Chemistry and Journal of Intelligent Manufacturing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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