Wavenilm: A Causal Neural Network for Power Disaggregation from the Complex Power Signal. - Alon Harell; Stephen Makonin; Ivan V. Bajic (ICASSP, 2019)

Towards Automated Swimming Analytics Using Deep Neural Networks. - Timothy Woinoski; Alon Harell; Ivan V. Bajic (CoRR, 2020)

PowerGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. - Alon Harell; Richard Jones; Stephen Makonin; Ivan V. Bajic (CoRR, 2020)

TraceGAN: Synthesizing Appliance Power Signatures Using Generative Adversarial Networks. - Alon Harell; Richard Jones; Stephen Makonin; Ivan V. Bajic (IEEE Trans. Smart Grid, 2021)

Does Video Compression Impact Tracking Accuracy? - Takehiro Tanaka; Alon Harell; Ivan V. Bajic (ISCAS, 2022)

Pass Evaluation in Women's Olympic Ice Hockey. - Robyn Ritchie; Alon Harell; Phillip Shreeves (MMSports@MM, 2022)

Rate-Distortion in Image Coding for Machines. - Alon Harell; Anderson de Andrade; Ivan V. Bajic (PCS, 2022)

Base Layer Efficiency in Scalable Human-Machine Coding. - Yalda Foroutan; Alon Harell; Anderson de Andrade; Ivan V. Bajic (ICIP, 2023)

Conditional and Residual Methods in Scalable Coding for Humans and Machines. - Anderson de Andrade; Alon Harell; Yalda Foroutan; Ivan V. Bajic (ICME Workshops, 2023)

$ text{VVC} + mathrm{M}$: Plug and Play Scalable Image Coding for Humans and Machines. - Alon Harell; Yalda Foroutan; Ivan V. Bajic (ICME Workshops, 2023)

VVC+M: Plug and Play Scalable Image Coding for Humans and Machines. - Alon Harell; Yalda Foroutan; Ivan V. Bajic (CoRR, 2023)

Rate-Distortion Theory in Coding for Machines and its Application. - Alon Harell; Yalda Foroutan; Nilesh A. Ahuja; Parual Datta; Bhavya Kanzariya; V. Srinivasa Somayazulu; Omesh Tickoo; Anderson de Andrade; Ivan V. Bajic (CoRR, 2023)

Rate-Distortion Theory in Coding for Machines and Its Applications. - Alon Harell; Yalda Foroutan; Nilesh A. Ahuja; Parual Datta; Bhavya Kanzariya; V. Srinivasa Somayazulu; Omesh Tickoo; Anderson de Andrade; Ivan V. Bajic (IEEE Trans. Pattern Anal. Mach. Intell., 2025)