Marco Maaß

Orcid: 0000-0001-7422-147X

According to our database¹, Marco Maaß authored at least 43 papers between 2014 and 2022.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of five.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2022

Positional Tracking of a Moving Microphone in Reverberant Scenes by Applying Perfect Sequences to Distributed Loudspeakers.

[BibT_eX]

[DOI]

Proceedings of the 17th International Workshop on Acoustic Signal Enhancement, 2022

2021

Room Impulse Response Reshaping and Crosstalk Cancellation Using Convex Optimization.

[BibT_eX]

[DOI]

Alfred Mertins

Marco Maaß

Fabrice Katzberg

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Spherical Harmonic Representation for Dynamic Sound-Field Measurements.

[BibT_eX]

[DOI]

Fabrice Katzberg

Marco Maaß

Alfred Mertins

Proceedings of the IEEE International Conference on Acoustics, 2021

Coherence Based Trajectory Optimization for Compressive Sensing of Sound Fields.

[BibT_eX]

[DOI]

Fabrice Katzberg

Marco Maaß

Alfred Mertins

Proceedings of the 29th European Signal Processing Conference, 2021

sEMG-Based Hand Movement Regression by Prediction of Joint Angles With Recurrent Neural Networks.

[BibT_eX]

[DOI]

Philipp Koch

Kamran Mohammad-Zadeh

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

A Recovery Algorithm based on the Kaczmarz Algorithm and ADMM Splitting with Application to Convex Optimization in Magnetic Particle Imaging.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

RNN With Stacked Architecture for sEMG based Sequence-to-Sequence Hand Gesture Recognition.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Regression of Hand Movements from sEMG Data with Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Multiresolution vessel detection in magnetic particle imaging using wavelets and a Gaussian mixture model.

[BibT_eX]

[DOI]

Christine Droigk

Marco Maaß

Alfred Mertins

Int. J. Comput. Assist. Radiol. Surg., 2019

Forked Recurrent Neural Network for Hand Gesture Classification Using Inertial Measurement Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Inhomogeneously Stacked RNN for Recognizing Hand Gestures from Magnetometer Data.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

A Recurrent Neural Network for Hand Gesture Recognition based on Accelerometer Data.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Blind Rigid Motion Estimation for Arbitrary MRI Sampling Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Joint Multiresolution and Background Detection Reconstruction for Magnetic Particle Imaging.

[BibT_eX]

[DOI]

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

2018

A Compressed Sensing Framework for Dynamic Sound-Field Measurements.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Spatial Interpolation of Room Impulse Responses Using Compressed Sensing.

[BibT_eX]

[DOI]

Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

Compressive Sampling of Sound Fields Using Moving Microphones.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Simultaneous Estimation of a System Matrix by Compressed Sensing and Finding Optimal Regularization Parameters for the Inversion Problem.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Recurrent Neural Networks with Weighting Loss for Early prediction of Hand Movements.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Recurrent Neural Network Based Early Prediction of Future Hand Movements.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

Improved Audio Scene Classification Based on Label-Tree Embeddings and Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Audio Scene Classification with Deep Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2017, 2017

CNN-LTE: A class of 1-X pooling convolutional neural networks on label tree embeddings for audio scene classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Measurement of sound fields using moving microphones.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multigrid reconstruction of sound fields using moving microphones.

[BibT_eX]

[DOI]

Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017

What makes audio event detection harder than classification?

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Early prediction of future hand movements using sEMG data.

[BibT_eX]

[DOI]

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016

Learning Representations for Nonspeech Audio Events Through Their Similarities to Speech Patterns.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2016

What Make Audio Event Detection Harder than Classification?

[BibT_eX]

[DOI]

CoRR, 2016

CaR-FOREST: Joint Classification-Regression Decision Forests for Overlapping Audio Event Detection.

[BibT_eX]

[DOI]

CoRR, 2016

CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition.

[BibT_eX]

[DOI]

CoRR, 2016

Label Tree Embeddings for Acoustic Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Robust Audio Event Recognition with 1-Max Pooling Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2016, 2016

Learning compact structural representations for audio events using regressor banks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Random Regression Forests for Acoustic Event Detection and Classification.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2015

A multi-channel fusion framework for audio event detection.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

Representing nonspeech audio signals through speech classification models.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2015, 2015

Early event detection in audio streams.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Audio phrases for audio event recognition.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

Blind Sparse Motion MRI with Linear Subpixel Interpolation.

[BibT_eX]

[DOI]

Anita Möller

Marco Maaß

Alfred Mertins

Proceedings of the Bildverarbeitung für die Medizin 2015, Algorithmen - Systeme, 2015

Cosine-Sine Modulated Filter Banks for Motion Estimation and Correction.

[BibT_eX]

[DOI]

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2015

2014

Acoustic event detection and localization with regression forests.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2014, 2014

Design of cosine-sine modulated filter banks without DC leakage.

[BibT_eX]

[DOI]

Marco Maaß

Huy Phan

Alfred Mertins

Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Marco Maaß

Timeline

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