Matthias Dorfer
Orcid: 0000-0002-3806-5411
According to our database1,
Matthias Dorfer
authored at least 38 papers
between 2012 and 2023.
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Bibliography
2023
CoRR, 2023
2022
CoRR, 2022
Proceedings of the International Conference on Machine Learning, 2022
2020
Proceedings of the xxAI - Beyond Explainable AI, 2020
2019
Feature-combination hybrid recommender systems for automated music playlist continuation.
User Model. User Adapt. Interact., 2019
Trans. Int. Soc. Music. Inf. Retr., 2019
IEEE Signal Process. Mag., 2019
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification.
Proceedings of the 27th European Signal Processing Conference, 2019
2018
Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification.
Trans. Int. Soc. Music. Inf. Retr., 2018
Int. J. Multim. Inf. Retr., 2018
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
Training general-purpose audio tagging networks with noisy labels and iterative self-verification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2018
2017
Music Playlist Continuation by Learning from Hand-Curated Examples and Song Features.
CoRR, 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.
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, 2017
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017
Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017
Learning Audio-Sheet Music Correspondences for Score Identification and Offline Alignment.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017
On the Potential of Fully Convolutional Neural Networks for Musical Symbol Detection.
Proceedings of the 12th International Workshop on Graphics Recognitio, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 47. Jahrestagung der Gesellschaft für Informatik, 2017
A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification.
Proceedings of the 25th European Signal Processing Conference, 2017
2016
Associating approximate paths and temporal sequences of noisy detections: Application to the recovery of spatio-temporal cancer cell trajectories.
Medical Image Anal., 2016
Proceedings of the 4th International Conference on Learning Representations, 2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
Proceedings of the Medical Computer Vision: Algorithms for Big Data, 2015
2013
Constructing an Un-biased Whole Body Atlas from Clinical Imaging Data by Fragment Bundling.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
2012
Robust, automatic real-time monitoring of the time course of the individual alpha frequency in the time and frequency domain.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012