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ORCIDMichael Muma
Michael Eric Muma
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- affiliation: TU Darmstadt, Germany
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Journal Articles
- 2024
[j20]Taulant Koka
, Manolis C. Tsakiris, Michael Muma, Benjamín Béjar Haro:
Shuffled multi-channel sparse signal recovery. Signal Process. 224: 109579 (2024)- [j19]Christian A. Schroth, Christian Eckrich, Ibrahim Kakouche, Stefan Fabian, Oskar von Stryk, Abdelhak M. Zoubir, Michael Muma:
Emergency Response Person Localization and Vital Sign Estimation Using a Semi-Autonomous Robot Mounted SFCW Radar. IEEE Trans. Biomed. Eng. 71(6): 1756-1769 (2024) - 2021
- [j18]Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
Robust Bayesian cluster enumeration based on the t distribution. Signal Process. 182: 107870 (2021) - [j17]Michael Muma, Esa Ollila, Frédéric Pascal:
Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings. Signal Process. 182: 107892 (2021) - [j16]Aylin Tastan, Michael Muma, Abdelhak M. Zoubir:
Sparsity-aware robust community detection (SPARCODE). Signal Process. 187: 108147 (2021) - [j15]Christian A. Schroth, Michael Muma:
Robust M-Estimation Based Bayesian Cluster Enumeration for Real Elliptically Symmetric Distributions. IEEE Trans. Signal Process. 69: 3525-3540 (2021) - [j14]Christian A. Schroth, Michael Muma:
Real Elliptically Skewed Distributions and Their Application to Robust Cluster Analysis. IEEE Trans. Signal Process. 69: 3947-3962 (2021) - 2020
- [j13]Jasin Machkour, Michael Muma, Bastian Alt, Abdelhak M. Zoubir:
A robust adaptive Lasso estimator for the independent contamination model. Signal Process. 174: 107608 (2020) - 2019
- [j12]Luca Carlino, Di Jin, Michael Muma, Abdelhak M. Zoubir:
Robust distributed cooperative RSS-based localization for directed graphs in mixed LoS/NLoS environments. EURASIP J. Wirel. Commun. Netw. 2019: 19 (2019) - 2018
- [j11]Patricia Binder, Michael Muma, Abdelhak M. Zoubir:
Gravitational Clustering: A simple, robust and adaptive approach for distributed networks. Signal Process. 149: 36-48 (2018) - [j10]Tim Schäck, Michael Muma, Mengling Feng, Cuntai Guan, Abdelhak M. Zoubir:
Robust Nonlinear Causality Analysis of Nonstationary Multivariate Physiological Time Series. IEEE Trans. Biomed. Eng. 65(6): 1213-1225 (2018) - [j9]Sara Al-Sayed, Jorge Plata-Chaves, Michael Muma, Marc Moonen, Abdelhak M. Zoubir:
Node-Specific Diffusion LMS-Based Distributed Detection Over Adaptive Networks. IEEE Trans. Signal Process. 66(3): 682-697 (2018) - [j8]Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
Bayesian Cluster Enumeration Criterion for Unsupervised Learning. IEEE Trans. Signal Process. 66(20): 5392-5406 (2018) - 2017
- [j7]Tim Schäck, Michael Eric Muma, Abdelhak M. Zoubir:
Signal Processing Projects at Technische Universität Darmstadt: How to engage undergraduate students in signal processing practice. IEEE Signal Process. Mag. 34(1): 16-30 (2017) - [j6]Michael Muma, Abdelhak M. Zoubir:
Bounded Influence Propagation τ-Estimation: A New Robust Method for ARMA Model Estimation. IEEE Trans. Signal Process. 65(7): 1712-1727 (2017) - 2016
- [j5]Patricia Binder, Michael Muma, Abdelhak M. Zoubir:
Robust and adaptive diffusion-based classification in distributed networks. EURASIP J. Adv. Signal Process. 2016: 34 (2016) - [j4]Tim Schäck, Michael Muma, Weaam Alkhaldi, Abdelhak M. Zoubir:
A procedure to locate the eyelid position in noisy videokeratoscopic images. EURASIP J. Adv. Signal Process. 2016: 136 (2016) - 2013
- [j3]Waqas Sharif, Michael Muma, Abdelhak M. Zoubir:
Robustness Analysis of Spatial Time-Frequency Distributions Based on the Influence Function. IEEE Trans. Signal Process. 61(8): 1958-1971 (2013) - 2012
- [j2]Abdelhak M. Zoubir, Visa Koivunen, Yacine Chakhchoukh, Michael Muma:
Robust Estimation in Signal Processing: A Tutorial-Style Treatment of Fundamental Concepts. IEEE Signal Process. Mag. 29(4): 61-80 (2012) - 2010
- [j1]Michael Muma, D. Robert Iskander, Michael J. Collins:
The Role of Cardiopulmonary Signals in the Dynamics of the Eye's Wavefront Aberrations. IEEE Trans. Biomed. Eng. 57(2): 373-383 (2010)
Conference and Workshop Papers
- 2024
- [c48]Jonas Emrich, Andrea Gargano, Taulant Koka, Michael Muma:
Physiology-Informed ECG Delineation Based on Peak Prominence. EUSIPCO 2024: 1402-1406 - [c47]Taulant Koka, Jasin Machkour, Michael Muma:
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening. EUSIPCO 2024: 2482-2486 - [c46]Jasin Machkour, Michael Muma, Daniel P. Palomar:
FDR-Controlled Sparse Index Tracking with Autoregressive Stock Dependency Models. EUSIPCO 2024: 2662-2666 - [c45]Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal:
Sparse PCA with False Discovery Rate Controlled Variable Selection. ICASSP 2024: 9716-9720 - 2023
- [c44]Fabian Scheidt, Jasin Machkour, Michael Muma:
Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop. CAMSAP 2023: 116-120 - [c43]Jasin Machkour, Michael Muma, Daniel P. Palomar:
The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research. CAMSAP 2023: 466-470 - [c42]Jonas Emrich, Taulant Koka, Sebastian Wirth, Michael Muma:
Accelerated Sample-Accurate R-Peak Detectors Based on Visibility Graphs. EUSIPCO 2023: 1090-1094 - [c41]Aylin Tastan, Michael Muma, Esa Ollila, Abdelhak M. Zoubir:
Sparsity-Aware Block Diagonal Representation for Subspace Clustering. EUSIPCO 2023: 1594-1598 - [c40]Jasin Machkour, Michael Muma, Daniel P. Palomar:
False Discovery Rate Control for Fast Screening of Large-Scale Genomics Biobanks. SSP 2023: 666-670 - 2022
- [c39]Taulant Koka, Michael Muma:
Fast and Sample Accurate R-Peak Detection for Noisy ECG Using Visibility Graphs. EMBC 2022: 121-126 - [c38]Mahmoud El-Hindi, Michael Muma, Abdelhak M. Zoubir:
Semi-Supervised Online Speaker Diarization using Vector Quantization with Alternative Codebooks. EUSIPCO 2022: 464-468 - [c37]Stefan Vlaski, Christian A. Schroth, Michael Muma, Abdelhak M. Zoubir:
ROBUST AND EFFICIENT AGGREGATION FOR DISTRIBUTED LEARNING. EUSIPCO 2022: 817-821 - [c36]Jasin Machkour, Michael Muma, Daniel P. Palomar:
False Discovery Rate Control for Grouped Variable Selection in High-Dimensional Linear Models Using the T-Knock Filter. EUSIPCO 2022: 892-896 - [c35]Aylin Tastan, Michael Muma, Abdelhak M. Zoubir:
Eigenvalue-Based Block Diagonal Representation and Application to p-Nearest Neighbor Graphs. EUSIPCO 2022: 1761-1765 - 2021
- [c34]Aylin Tastan, Michael Muma, Abdelhak M. Zoubir:
Robust Spectral Clustering: A Locality Preserving Feature Mapping Based on M-estimation. EUSIPCO 2021: 851-855 - 2020
- [c33]Di Jin, Feng Yin, Michael Fauß, Michael Muma, Abdelhak M. Zoubir:
Exploiting Sparsity for Robust Sensor Network Localization in Mixed LOS/NLOS Environments. ICASSP 2020: 5915 - [c32]Felicia Ruppel, Michael Muma, Abdelhak M. Zoubir:
Globally Optimal Robust Matrix Completion Based on M-Estimation. MLSP 2020: 1-6 - 2019
- [c31]Tanuj Hasija, Martin Gölz, Michael Muma, Peter J. Schreier, Abdelhak M. Zoubir:
Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks. ACSSC 2019: 1257-1261 - [c30]Yani Zhang, Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
Distributed Robust Bayesian Cluster Enumeration Criterion for Unsupervised Learning. CAMSAP 2019: 176-180 - [c29]Lisa Dawel, Ann-Kathrin Seifert, Michael Muma, Abdelhak M. Zoubir:
A Robust Genetic Algorithm for Feature Selection and Parameter Optimization in Radar-Based Gait Analysis. CAMSAP 2019: 674-678 - [c28]Martin Gölz, Michael Muma, Topi Halme, Abdelhak M. Zoubir, Visa Koivunen:
Spatial Inference in Sensor Networks using Multiple Hypothesis Testing and Bayesian Clustering. EUSIPCO 2019: 1-5 - [c27]Michael Fauß, Michael Muma, Freweyni K. Teklehaymanot, Abdelhak M. Zoubir:
Robust Detection for Cluster Analysis. ICASSP 2019: 5331-5335 - [c26]Michael Muma, Wen-Jun Zeng, Abdelhak M. Zoubir:
Robust M-estimation Based Matrix Completion. ICASSP 2019: 5476-5480 - 2018
- [c25]Freweyni K. Teklehaymanot, Ann-Kathrin Seifert, Michael Muma, Moeness G. Amin, Abdelhak M. Zoubir:
Bayesian Target Enumeration and Labeling Using Radar Data of Human Gait. EUSIPCO 2018: 1342-1346 - [c24]Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
Novel Bayesian Cluster Enumeration Criterion for Cluster Analysis with Finite Sample Penalty Term. ICASSP 2018: 4274-4278 - [c23]Tim Schäck, Michael Muma, Abdelhak M. Zoubir:
Hands-on in Signal Processing Education at Technische Universitat Darmstadt. ICASSP 2018: 7011-7015 - [c22]Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
Diffusion-Based Bayesian Cluster Enumeration in Distributed Sensor Networks. SSP 2018: 1-5 - 2017
- [c21]Tim Schäck, Yosef Safi Harb, Michael Muma, Abdelhak M. Zoubir:
Computationally efficient algorithm for photoplethysmography-based atrial fibrillation detection using smartphones. EMBC 2017: 104-108 - [c20]L. Khadidja Hamaidi, Michael Muma, Abdelhak M. Zoubir:
Robust distributed multi-speaker voice activity detection using stability selection for sparse non-negative feature extraction. EUSIPCO 2017: 161-165 - [c19]Jasin Machkour, Bastian Alt, Michael Muma, Abdelhak M. Zoubir:
The outlier-corrected-data-adaptive Lasso: A new robust estimator for the independent contamination model. EUSIPCO 2017: 1649-1653 - [c18]Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
Adaptive diffusion-based track assisted multi-object labeling in distributed camera networks. EUSIPCO 2017: 2299-2303 - [c17]Tim Schäck, Michael Muma, Abdelhak M. Zoubir:
Computationally efficient heart rate estimation during physical exercise using photoplethysmographic signals. EUSIPCO 2017: 2478-2481 - [c16]L. Khadidja Hamaidi, Michael Muma, Abdelhak M. Zoubir:
Multi-speaker voice activity detection by an improved multiplicative non-negative independent component analysis with sparseness constraints. ICASSP 2017: 4611-4615 - 2016
- [c15]Fabian Scheidt, Di Jin, Michael Muma, Abdelhak M. Zoubir:
Fast and accurate cooperative localization in wireless sensor networks. EUSIPCO 2016: 190-194 - [c14]Freweyni K. Teklehaymanot, Michael Muma, Jun Liu, Abdelhak M. Zoubir:
In-network adaptive cluster enumeration for distributed classification and labeling. EUSIPCO 2016: 448-452 - 2015
- [c13]Freweyni K. Teklehaymanot, Michael Muma, Benjamín Béjar Haro, Patricia Binder, Abdelhak M. Zoubir, Martin Vetterli:
Robust diffusion-based unsupervised object labelling in distributed camera networks. AFRICON 2015: 1-6 - [c12]Tim Schäck, Christian Sledz, Michael Muma, Abdelhak M. Zoubir:
A new method for heart rate monitoring during physical exercise using photoplethysmographic signals. EUSIPCO 2015: 2666-2670 - [c11]Marta Martinez-Camara, Michael Muma, Abdelhak M. Zoubir, Martin Vetterli:
A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers. ICASSP 2015: 3422-3426 - [c10]Patricia Binder, Michael Muma, Abdelhak M. Zoubir:
Robust and computationally efficient diffusion-based classification in distributed networks. ICASSP 2015: 3432-3436 - [c9]Daniel Kalus, Michael Muma, Abdelhak M. Zoubir:
Distributed robust change point detection for autoregressive processes with an application to distributed voice activity detection. ICASSP 2015: 3906-3910 - [c8]Symeon Chouvardas, Michael Muma, Khadidja Hamaidi, Sergios Theodoridis, Abdelhak M. Zoubir:
Distributed robust labeling of audio sources in heterogeneous wireless sensor networks. ICASSP 2015: 5783-5787 - 2014
- [c7]Jack Dagdagan, Michael Muma, Abdelhak M. Zoubir:
Robust testing for stationarity in the presence of outliers. ICASSP 2014: 3464-3468 - [c6]Stefan Vlaski, Michael Muma, Abdelhak M. Zoubir:
Robust bootstrap methods with an application to geolocation in harsh LOS/NLOS environments. ICASSP 2014: 7988-7992 - [c5]Michael Muma:
Robust model order selection for ARMA models based on the bounded innovation propagation τ-estimator. SSP 2014: 428-431 - 2013
- [c4]Bin Han, Michael Muma, Mengling Feng, Abdelhak M. Zoubir:
An online approach for intracranial pressure forecasting based on signal decomposition and robust statistics. ICASSP 2013: 6239-6243 - 2012
- [c3]Falco Strasser, Michael Muma, Abdelhak M. Zoubir:
Motion artifact removal in ECG signals using multi-resolution thresholding. EUSIPCO 2012: 899-903 - [c2]Michael Muma, Yao Cheng, Florian Roemer, Martin Haardt, Abdelhak M. Zoubir:
Robust source number enumeration for r-dimensional arrays in case of brief sensor failures. ICASSP 2012: 3709-3712 - 2011
- [c1]Michael Muma, Abdelhak M. Zoubir:
Robust model order selection for corneal height data based on τ estimation. ICASSP 2011: 4096-4099
Data and Artifacts
- 2023
- [d1]Christian A. Schroth, Christian Eckrich, Stefan Fabian, Oskar von Stryk, Abdelhak M. Zoubir, Michael Muma:
Multi-Person Localization and Vital Sign Estimation Radar Dataset. IEEE DataPort, 2023
Informal and Other Publications
- 2024
- [i10]Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal:
Sparse PCA with False Discovery Rate Controlled Variable Selection. CoRR abs/2401.08375 (2024) - [i9]Taulant Koka, Jasin Machkour, Michael Muma:
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening. CoRR abs/2401.09979 (2024) - [i8]Jasin Machkour, Daniel P. Palomar, Michael Muma:
FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking. CoRR abs/2401.15139 (2024) - 2023
- [i7]Christian A. Schroth, Christian Eckrich, Ibrahim Kakouche, Stefan Fabian, Oskar von Stryk, Abdelhak M. Zoubir, Michael Muma:
Emergency Response Person Localization and Vital Sign Estimation Using a Semi-Autonomous Robot Mounted SFCW Radar. CoRR abs/2305.15795 (2023) - [i6]Aylin Tastan, Michael Muma, Abdelhak M. Zoubir:
Fast and Robust Sparsity-Aware Block Diagonal Representation. CoRR abs/2312.01137 (2023) - 2022
- [i5]Stefan Vlaski, Christian A. Schroth, Michael Muma, Abdelhak M. Zoubir:
Robust and Efficient Aggregation for Distributed Learning. CoRR abs/2204.00586 (2022) - 2021
- [i4]Aylin Tastan, Michael Muma, Abdelhak M. Zoubir:
Robust Regularized Locality Preserving Indexing for Fiedler Vector Estimation. CoRR abs/2107.12070 (2021) - 2018
- [i3]Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
Robust Bayesian Cluster Enumeration. CoRR abs/1811.12337 (2018) - 2017
- [i2]Patricia Binder, Michael Muma, Abdelhak M. Zoubir:
Gravitational Clustering: A Simple, Robust and Adaptive Approach for Distributed Networks. CoRR abs/1709.02287 (2017) - [i1]Freweyni K. Teklehaymanot, Michael Muma, Abdelhak M. Zoubir:
A Novel Bayesian Cluster Enumeration Criterion for Unsupervised Learning. CoRR abs/1710.07954 (2017)
Coauthor Index
[j19] [j18] [j16] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [c41] [c38] [c37] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c4] [c3] [c2] [c1] [d1] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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