Robust, automatic real-time monitoring of the time course of the individual alpha frequency in the time and frequency domain. - Heinrich Garn; Markus Waser; Manuel Lechner; Matthias Dorfer; Dieter Grossegger (EMBC, 2012)

Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling. - Matthias Dorfer; René Donner; Georg Langs (MICCAI (1), 2013)

Creating a Large-Scale Silver Corpus from Multiple Algorithmic Segmentations. - Markus Krenn; Matthias Dorfer; Oscar Alfonso Jiménez del Toro; Henning Müller; Bjoern H. Menze; Marc-André Weber; Allan Hanbury; Georg Langs (MCV@MICCAI, 2015)

Recursive water flow: A shape decomposition approach for cell clump splitting. - Matthias Dorfer; Julian Mattes (ISBI, 2016)

Towards Score Following In Sheet Music Images. - Matthias Dorfer; Andreas Arzt; Gerhard Widmer (ISMIR, 2016)

On the Potential of Simple Framewise Approaches to Piano Transcription. - Rainer Kelz; Matthias Dorfer; Filip Korzeniowski; Sebastian Böck; Andreas Arzt; Gerhard Widmer (ISMIR, 2016)

Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks. - Florian Krebs; Sebastian Böck; Matthias Dorfer; Gerhard Widmer (ISMIR, 2016)

Recurrent Neural Networks for Drum Transcription. - Richard Vogl; Matthias Dorfer; Peter Knees (ISMIR, 2016)

Live Score Following on Sheet Music Images. - Matthias Dorfer; Andreas Arzt; Sebastian Böck; Amaury Durand; Gerhard Widmer (CoRR, 2016)

Towards End-to-End Audio-Sheet-Music Retrieval. - Matthias Dorfer; Andreas Arzt; Gerhard Widmer (CoRR, 2016)

Deep Linear Discriminant Analysis. - Matthias Dorfer; Rainer Kelz; Gerhard Widmer (ICLR (Poster), 2016)

Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories. - Matthias Dorfer; Tomas Kazmar; Matej Smíd; Sanchit Sing; Julia Kneißl; Simone Keller; Olivier Debeir; Birgit Luber; Julian Mattes (Medical Image Anal., 2016)

A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification. - Hamid Eghbal-zadeh; Bernhard Lehner; Matthias Dorfer; Gerhard Widmer (EUSIPCO, 2017)

Aktuelle Entwicklungen in der Automatischen Musikverfolgung. - Andreas Arzt; Matthias Dorfer (GI-Jahrestagung, 2017)

Drum transcription from polyphonic music with recurrent neural networks. - Richard Vogl; Matthias Dorfer; Peter Knees (ICASSP, 2017)

On the Potential of Fully Convolutional Neural Networks for Musical Symbol Detection. - Matthias Dorfer; Jan Hajic Jr.; Gerhard Widmer (GREC@ICDAR, 2017)

Learning Audio-Sheet Music Correspondences for Score Identification and Offline Alignment. - Matthias Dorfer; Andreas Arzt; Gerhard Widmer (ISMIR, 2017)

Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks. - Richard Vogl; Matthias Dorfer; Gerhard Widmer; Peter Knees (ISMIR, 2017)

MediaEval 2017 AcousticBrainz Genre Task: Multilayer Perceptron Approach. - Khaled Koutini; Alina Imenina; Matthias Dorfer; Alexander Gruber; Markus Schedl (MediaEval, 2017)

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features: Alleviating the Cold-Start Problem for Rare and Out-of-Set Songs. - Andreu Vall; Hamid Eghbal-zadeh; Matthias Dorfer; Markus Schedl; Gerhard Widmer (DLRS@RecSys, 2017)

Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features. - Andreu Vall; Hamid Eghbal-zadeh; Matthias Dorfer; Markus Schedl (CoRR, 2017)

Deep Within-Class Covariance Analysis for Acoustic Scene Classification. - Hamid Eghbal-zadeh; Matthias Dorfer; Gerhard Widmer (CoRR, 2017)

Training general-purpose audio tagging networks with noisy labels and iterative self-verification. - Matthias Dorfer; Gerhard Widmer (DCASE, 2018)

Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game. - Matthias Dorfer; Florian Henkel; Gerhard Widmer (ISMIR, 2018)

Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets. - Jan Hajic Jr.; Matthias Dorfer; Gerhard Widmer; Pavel Pecina (ISMIR, 2018)

A hybrid approach to music playlist continuation based on playlist-song membership. - Andreu Vall; Matthias Dorfer; Markus Schedl; Gerhard Widmer (SAC, 2018)

Attention as a Perspective for Learning Tempo-invariant Audio Queries. - Matthias Dorfer; Jan Hajic Jr.; Gerhard Widmer (CoRR, 2018)

End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss. - Matthias Dorfer; Jan Schlüter; Andreu Vall; Filip Korzeniowski; Gerhard Widmer (Int. J. Multim. Inf. Retr., 2018)

Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification. - Matthias Dorfer; Jan Hajic Jr.; Andreas Arzt; Harald Frostel; Gerhard Widmer (Trans. Int. Soc. Music. Inf. Retr., 2018)

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification. - Khaled Koutini; Hamid Eghbal-zadeh; Matthias Dorfer; Gerhard Widmer (EUSIPCO, 2019)

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval. - Stefan Balke; Matthias Dorfer; Luís Carvalho; Andreas Arzt; Gerhard Widmer (ISMIR, 2019)

Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies. - Meinard Müller; Andreas Arzt; Stefan Balke; Matthias Dorfer; Gerhard Widmer (IEEE Signal Process. Mag., 2019)

Score Following as a Multi-Modal Reinforcement Learning Problem. - Florian Henkel; Stefan Balke; Matthias Dorfer; Gerhard Widmer (Trans. Int. Soc. Music. Inf. Retr., 2019)

Feature-combination hybrid recommender systems for automated music playlist continuation. - Andreu Vall; Matthias Dorfer; Hamid Eghbal-zadeh; Markus Schedl; Keki Burjorjee; Gerhard Widmer (User Model. User Adapt. Interact., 2019)

XAI and Strategy Extraction via Reward Redistribution. - Marius-Constantin Dinu; Markus Hofmarcher; Vihang Prakash Patil; Matthias Dorfer; Patrick M. Blies; Johannes Brandstetter; Jose A. Arjona-Medina; Sepp Hochreiter (xxAI@ICML, 2020)

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. - Vihang Patil; Markus Hofmarcher; Marius-Constantin Dinu; Matthias Dorfer; Patrick M. Blies; Johannes Brandstetter; José Antonio Arjona-Medina; Sepp Hochreiter (ICML, 2022)

Power Grid Congestion Management via Topology Optimization with AlphaZero. - Matthias Dorfer; Anton R. Fuxjäger; Kristián Kozák; Patrick M. Blies; Marcel Wasserer (CoRR, 2022)

Reinforcement Learning Based Power Grid Day-Ahead Planning and AI-Assisted Control. - Anton R. Fuxjäger; Kristián Kozák; Matthias Dorfer; Patrick M. Blies; Marcel Wasserer (CoRR, 2023)

NeuralCFD: Deep Learning on High-Fidelity Automotive Aerodynamics Simulations. - Maurits Bleeker; Matthias Dorfer; Tobias Kronlachner; Reinhard Sonnleitner; Benedikt Alkin; Johannes Brandstetter (CoRR, 2025)