Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles - Extended Version. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (CoRR, 2021)

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles. - David Campos 002; Tung Kieu; Chenjuan Guo; Feiteng Huang; Kai Zheng 001; Bin Yang 002; Christian S. Jensen (Proc. VLDB Endow., 2021)

Weighted Mutual Learning with Diversity-Driven Model Compression. - Miao Zhang; Li Wang 148; David Campos 002; Wei Huang 034; Chenjuan Guo; Bin Yang 002 (NeurIPS, 2022)

Compressed, Real-Time Voice Activity Detection with Open Source Implementation for Small Devices. - Lasse R. Andersen; Lukas J. Jacobsen; David Campos 002 (iWOAR, 2023)

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. - David Campos 002; Miao Zhang; Bin Yang 002; Tung Kieu; Chenjuan Guo; Christian S. Jensen (CoRR, 2023)

LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. - David Campos 002; Miao Zhang; Bin Yang 002; Tung Kieu; Chenjuan Guo; Christian S. Jensen (Proc. ACM Manag. Data, 2023)

Estimation of Psychosocial Work Environment Exposures Through Video Object Detection - Proof of Concept Using CCTV Footage. - Claus D. Hansen; Thuy Hai Le; David Campos 002 (iWOAR, 2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. - David Campos 002; Bin Yang 002; Tung Kieu; Miao Zhang; Chenjuan Guo; Christian S. Jensen (CoRR, 2024)

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. - David Campos 002; Bin Yang 002; Tung Kieu; Miao Zhang; Chenjuan Guo; Christian S. Jensen (Proc. VLDB Endow., 2024)