David Campos

According to our database, David Campos authored at least 8 papers between 2021 and 2024.

Collaborative distances:

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

2024

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models.

David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen

Proc. VLDB Endow., July, 2024

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version.

David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen

CoRR, 2024

2023

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation.

David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen

Proc. ACM Manag. Data, 2023

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version.

David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen

CoRR, 2023

Compressed, Real-Time Voice Activity Detection with Open Source Implementation for Small Devices.

Lasse R. Andersen, Lukas J. Jacobsen, David Campos

Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial Intelligence, 2023

2022

Weighted Mutual Learning with Diversity-Driven Model Compression.

Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles.

David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen

Proc. VLDB Endow., 2021

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version.

David Campos, Tung Kieu, Chenjuan Guo, Feiteng Huang, Kai Zheng, Bin Yang, Christian S. Jensen

CoRR, 2021