| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | Matz, Gerald ; Verardo, Claudio ; Dittrich, Thomas | Efficient Learning of Balanced Signature Graphs | Inproceedings Konferenzbeitrag | 1-Jan-2023 |
| 2 | | Brandmayr, Georg ; Hartmann, Manfred ; Fürbass, Franz ; Matz, Gerald ; Samwald, Matthias ; Kluge, Tilmann ; Dorffner, Georg | Relational local electroencephalography representations for sleep scoring | Article Artikel | Oct-2022 |
| 3 | | Dittrich, Thomas ; Matz, Gerald | A Linearly Constrained Power Iteration for Spectral Semi-Supervised Classification on Signed Graphs | Inproceedings Konferenzbeitrag | 22-May-2022 |
| 4 | | Matz, Gerald ; Dittrich, Thomas | Signature Graphs - Fundamentals, Learning, and Clustering | Inproceedings Konferenzbeitrag | 1-Jan-2022 |
| 5 | | Dittrich, Thomas ; Matz, Gerald | Non-Convex Total Variation Minimization for Signed Graph Cut Clustering | Präsentation Presentation | 2021 |
| 6 | | Dittrich, Thomas ; Matz, Gerald | A Maximum A Posteriori Relaxation For Clustering The Labeled Stochastic Block Model | Konferenzbeitrag Inproceedings | 2021 |
| 7 | | Dittrich, Thomas ; Matz, Gerald | Unsupervised Clustering on Signed Graphs with Unknown Number of Clusters | Konferenzbeitrag Inproceedings | 2021 |
| 8 | | Dittrich, Thomas ; Matz, Gerald | Signal Processing on Signed Graphs: Fundamentals and Potentials | Artikel Article | 2020 |
| 9 | | Matz, Gerald ; Dittrich, Thomas | Learning Signed Graphs from Data | Konferenzbeitrag Inproceedings | 2020 |
| 10 | | Berger, Peter ; Hannak, Gabor ; Matz, Gerald | Efficient graph learning from noisy and incomplete data | Artikel Article | 2020 |
| 11 | | Meidlinger, Michael ; Matz, Gerald ; Burg, Andreas | Design and Decoding of Irregular LDPC Codes Based on Discrete Message Passing | Artikel Article | 2020 |
| 12 | | Berger, Peter ; Dittrich, Thomas ; Hannak, Gabor ; Matz, Gerald | Semi-supervised Multiclass Clustering Based on Signed Total Variation | Konferenzbeitrag Inproceedings | 2019 |
| 13 | | Berger, Peter ; Dittrich, Thomas ; Matz, Gerald | Clustering on Dynamic Graphs based on Total Variation | Konferenzbeitrag Inproceedings | 2019 |
| 14 | | Matz, Gerald | Data Science by TV on the Graph | Präsentation Presentation | 2019 |
| 15 | | Berger, Peter ; Gröchenig, Karlheinz ; Matz, Gerald | Sampling and Reconstruction in Distinct Subspaces Using Oblique Projections | Artikel Article | 19-Jul-2018 |
| 16 | | Ghanaatian, Reza ; Balatsoukas-Stimming, Alexios ; Müller, Thomas Christoph ; Meidlinger, Michael ; Matz, Gerald ; Teman, Adam ; Burg, Andreas | A 588-Gb/s LDPC Decoder Based on Finite-Alphabet Message Passing | Artikel Article | Feb-2018 |
| 17 | | Berger, Peter ; Buchacher, Manfred ; Hannak, Gabor ; Matz, Gerald | Graph Learning based on Total Variation Minimization | Konferenzbeitrag Inproceedings | 2018 |
| 18 | | Berger, Peter ; Dittrich, Thomas ; Matz, Gerald | Semi-supervised clustering based on signed total variation | Konferenzbeitrag Inproceedings | 2018 |
| 19 | | Dittrich, Thomas ; Berger, Peter ; Matz, Gerald | Semi-Supervised Spectral Clustering using the Signed Laplacian | Konferenzbeitrag Inproceedings | 2018 |
| 20 | | Hannak, Gabor ; Perelli, Alessandro ; Matz, Gerald ; Davies, Mike E- ; Görtz, Norbert | Performance Analysis of Approximate Message Passing for Distributed Compressed Sensing | Konferenzbeitrag Inproceedings | 2018 |