Numerical analysis of SLSSIM similarity on medical X-ray image domain. - Jonas Brusokas; Linas Petkevicius (IVUS, 2019)

HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps. - Jonas Brusokas; Torben Bach Pedersen; Laurynas Siksnys; Dalin Zhang 001; Kaixuan Chen 001 (e-Energy, 2021)

Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. - Seshu Tirupathi; Dhaval Salwala; Giulio Zizzo; Ambrish Rawat; Mark Purcell; Søren Kejser Jensen; Christian Thomsen 001; Nguyen Ho; Carlos E. Muñiz-Cuza; Jonas Brusokas; Torben Bach Pedersen; Giorgos Alexiou; et al. (IEEE Big Data, 2022)

Evaluating the Impact of Error-Bounded Lossy Compression on Time Series Forecasting. - Carlos Enrique Muñiz-Cuza; Søren Kejser Jensen; Jonas Brusokas; Nguyen Ho; Torben Bach Pedersen (EDBT, 2024)

Device-independent metrics for explicit, a priori measurement of energy flexibility. - Fabio Lilliu; Jonas Brusokas; Torben Bach Pedersen (e-Energy, 2024)

Selective-HeatFlex: Selective Forecasting of Heat Pump Flexibility using Model Confidence. - Jonas Brusokas; Fabio Lilliu; Seshu Tirupathi; Torben Bach Pedersen (e-Energy, 2025)

The Time-Energy Model: Selective Time-Series Forecasting Using Energy-Based Models. - Jonas Brusokas; Seshu Tirupathi; Dalin Zhang 001; Torben Bach Pedersen (Trans. Mach. Learn. Res., 2025)