David Campos

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Density Ratio Estimation

Detecting Outliers

Voice Activity Detection

Top Venues

Proc. ACM Manag. Data

Proc. VLDB Endow.

Publications

David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. CoRR (2024)
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. CoRR (2023)
Lasse R. Andersen, Lukas J. Jacobsen, David Campos
Compressed, Real-Time Voice Activity Detection with Open Source Implementation for Small Devices. iWOAR (2023)
David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proc. ACM Manag. Data 1 (2) (2023)
Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang
Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS (2022)
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. CoRR (2021)
David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. Proc. VLDB Endow. 15 (3) (2021)