Jasin Machkour

20 papers Misc 3Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning False Discovery Rate Control via Model-Based Neural Networks.
CoRR
Arnau Vilella, Jasin Machkour, Michael Muma, Daniel P. Palomar
2025 Misc conf
FDR Control for Complex-Valued Data with Application in Single Snapshot Multi-Source Detection and DOA Estimation.
ICASSP
Fabian Scheidt, Jasin Machkour, Michael Muma
2025 Misc conf
FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking.
ICASSP
Jasin Machkour, Daniel P. Palomar, Michael Muma
2025 J jnl
High-dimensional false discovery rate control for dependent variables.
Signal Process.
Jasin Machkour, Michael Muma, Daniel P. Palomar
2025 — conf
Reproducible Physiological Features in Affective Computing: A Preliminary Analysis on Arousal Modeling.
MetroXRAINE
Andrea Gargano, Jasin Machkour, Mimma Nardelli, Enzo Pasquale Scilingo, Michael Muma
2025 J jnl
Reproducible Physiological Features in Affective Computing: A Preliminary Analysis on Arousal Modeling.
CoRR
Andrea Gargano, Jasin Machkour, Mimma Nardelli, Enzo Pasquale Scilingo, Michael Muma
2025 J jnl
The terminating-random experiments selector: Fast high-dimensional variable selection with false discovery rate control.
Signal Process.
Jasin Machkour, Michael Muma, Daniel P. Palomar
2024 — —
Development of Fast Machine Learning Algorithms for False Discovery Rate Control in Large-Scale High-Dimensional Data.
Jasin Machkour
2024 J jnl
FDR-Controlled Portfolio Optimization for Sparse Financial Index Tracking.
CoRR
Jasin Machkour, Daniel P. Palomar, Michael Muma
2024 — conf
FDR-Controlled Sparse Index Tracking with Autoregressive Stock Dependency Models.
EUSIPCO
Jasin Machkour, Michael Muma, Daniel P. Palomar
2024 — conf
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening.
EUSIPCO
Taulant Koka, Jasin Machkour, Michael Muma
2024 J jnl
False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening.
CoRR
Taulant Koka, Jasin Machkour, Michael Muma
2024 Misc conf
Sparse PCA with False Discovery Rate Controlled Variable Selection.
ICASSP
Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
2024 J jnl
Sparse PCA with False Discovery Rate Controlled Variable Selection.
CoRR
Jasin Machkour, Arnaud Breloy, Michael Muma, Daniel P. Palomar, Frédéric Pascal
2023 — conf
False Discovery Rate Control for Fast Screening of Large-Scale Genomics Biobanks.
SSP
Jasin Machkour, Michael Muma, Daniel P. Palomar
2023 — conf
Solving FDR-Controlled Sparse Regression Problems with Five Million Variables on a Laptop.
CAMSAP
Fabian Scheidt, Jasin Machkour, Michael Muma
2023 — conf
The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research.
CAMSAP
Jasin Machkour, Michael Muma, Daniel P. Palomar
2022 — conf
False Discovery Rate Control for Grouped Variable Selection in High-Dimensional Linear Models Using the T-Knock Filter.
EUSIPCO
Jasin Machkour, Michael Muma, Daniel P. Palomar
2020 J jnl
A robust adaptive Lasso estimator for the independent contamination model.
Signal Process.
Jasin Machkour, Michael Muma, Bastian Alt, Abdelhak M. Zoubir
2017 — conf
The outlier-corrected-data-adaptive Lasso: A new robust estimator for the independent contamination model.
EUSIPCO
Jasin Machkour, Bastian Alt, Michael Muma, Abdelhak M. Zoubir