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2020 – today
- 2024
[j2]Sinnu Susan Thomas
, Guillaume Lamine, Jacopo Palandri, Mohsen Lakehal-Ayat, Punarjay Chakravarty, Friedrich Wolf-Monheim, Matthew B. Blaschko:
Mitigating Bias in Bayesian Optimized Data While Designing MacPherson Suspension Architecture. IEEE Trans. Artif. Intell. 5(2): 904-915 (2024)- [c2]Zhaoyi Liu, Álvaro López-Chilet, Dading Chong, Sam Michiels, Jon Ander Gómez, Friedrich Wolf-Monheim, David Newton, Danny Hughes:
SRAD-CLF: Squeak and Rattle Anomaly Detection via Contrastive Learning Framework on Real Industrial Noise Recordings. EUSIPCO 2024: 181-185 - [i3]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:
ConvDTW-ACS: Audio Segmentation for Track Type Detection During Car Manufacturing. CoRR abs/2402.18204 (2024) - [i2]Friedrich Wolf-Monheim:
Spectral and Rhythm Features for Audio Classification with Deep Convolutional Neural Networks. CoRR abs/2410.06927 (2024) - 2023
- [j1]Sinnu Susan Thomas, Jacopo Palandri, Mohsen Lakehal-Ayat, Punarjay Chakravarty, Friedrich Wolf-Monheim, Matthew B. Blaschko:
Kinematics Design of a MacPherson Suspension Architecture Based on Bayesian Optimization. IEEE Trans. Cybern. 53(4): 2261-2274 (2023) - 2022
- [i1]Sinnu Susan Thomas, Jacopo Palandri, Mohsen Lakehal-Ayat, Punarjay Chakravarty, Friedrich Wolf-Monheim, Matthew B. Blaschko:
Designing MacPherson Suspension Architectures using Bayesian Optimization. CoRR abs/2206.09022 (2022)
2010 – 2019
- 2019
- [c1]Sinnu Susan Thomas, Jacopo Palandri, Mohsen Lakehal-Ayat, Punarjay Chakravarty, Friedrich Wolf-Monheim, Matthew B. Blaschko:
Designing MacPherson Suspension Architectures Using Bayesian Optimization. BNAIC/BENELEARN 2019
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