Friedrich Wolf-Monheim

According to our database, Friedrich Wolf-Monheim authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mitigating Bias in Bayesian Optimized Data While Designing MacPherson Suspension Architecture.

Sinnu Susan Thomas, Guillaume Lamine, Jacopo Palandri, Mohsen Lakehal-Ayat, Punarjay Chakravarty, Friedrich Wolf-Monheim, Matthew B. Blaschko

IEEE Trans. Artif. Intell., February, 2024

Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks.

Friedrich Wolf-Monheim

CoRR, 2024

ConvDTW-ACS: Audio Segmentation for Track Type Detection During Car Manufacturing.

Álvaro López-Chilet, Zhaoyi Liu, Jon Ander Gómez, Carlos Alvarez, Marivi Alonso Ortiz, Andres Orejuela Mesa, David Newton, Friedrich Wolf-Monheim, Sam Michiels, Danny Hughes

CoRR, 2024

SRAD-CLF: Squeak and Rattle Anomaly Detection via Contrastive Learning Framework on Real Industrial Noise Recordings.

Zhaoyi Liu, Álvaro López-Chilet, Dading Chong, Sam Michiels, Jon Ander Gómez, Friedrich Wolf-Monheim, David Newton, Danny Hughes

Proceedings of the 32nd European Signal Processing Conference, 2024

2023

Kinematics Design of a MacPherson Suspension Architecture Based on Bayesian Optimization.

Sinnu Susan Thomas, Jacopo Palandri, Mohsen Lakehal-Ayat, Punarjay Chakravarty, Friedrich Wolf-Monheim, Matthew B. Blaschko

IEEE Trans. Cybern., April, 2023

2019

Designing MacPherson Suspension Architectures Using Bayesian Optimization.

Sinnu Susan Thomas, Jacopo Palandri, Mohsen Lakehal-Ayat, Punarjay Chakravarty, Friedrich Wolf-Monheim, Matthew B. Blaschko

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019