Designing MacPherson Suspension Architectures Using Bayesian Optimization. - Sinnu Susan Thomas; Jacopo Palandri; Mohsen Lakehal-Ayat; Punarjay Chakravarty; Friedrich Wolf-Monheim; Matthew B. Blaschko (BNAIC/BENELEARN, 2019)

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., 2023)

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 001 (EUSIPCO, 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 001 (CoRR, 2024)

Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks. - Friedrich Wolf-Monheim (CoRR, 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., 2024)