Gerald Matz is affiliated with TU Wien in Austria and conducts research primarily in the field of Computer Science. Their work spans multiple subfields including Artificial Intelligence, Statistical and Nonlinear Physics, Cognitive Neuroscience, Statistics and Probability, and General Health Professions.
Their research topics include:
Matz's recent publications cover a range of topics related to graph learning, signal processing, and clustering methods. Notable papers include:
Frequent collaborators in Matz's work include Thomas Dittrich, Georg Pichler, Pablo Piantanida, Peter Berger, and Gábor Hannák. Their contributions have appeared across a variety of publication venues such as:
P. Almers;E. Bonek;A. Burr;N. Czink
Franz Hlawatsch;Gerald Matz
Dirk Wübben;Dominik Seethaler;Joakim Jaldén;Gerald Matz
G. Matz
D. Schafhuber;G. Matz
Alexander Paier;Thomas Zemen;Laura Bernado;Gerald Matz
Alexander Paier;Thomas Zemen;Laura Bernado;Gerald Matz
F. Hlawatsch;G. Matz;H. Kirchauer;W. Kozek
G. Matz;D. Schafhuber;K. Grochenig;M. Hartmann
Bernd Hofer;Boris Považay;Boris Hermann;Angelika Unterhuber
D. Schafhuber;G. Matz;F. Hlawatsch
D. Seethaler;G. Matz;F. Hlawatsch
J. Jalden;D. Seethaler;G. Matz
Gerald Matz;Franz Hlawatsch
Gerald Matz;Helmut Bolcskei;Franz Hlawatsch
Gerald Matz;Franz Hlawatsch
T Hrycak;S Das;G Matz;H G Feichtinger
D. Schafhuber;G. Matz;F. Hlawatsch
G. Matz;F. Hlawatsch;W. Kozek
Gerald Matz;Franz Hlawatsch
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