| HeatFlex: Machine learning based data-driven flexibility prediction for individual heat pumps J Brusokas, TB Pedersen, L Šikšnys, D Zhang, K Chen Proceedings of the twelfth ACM international conference on future energy …, 2021 | 10 | 2021 |
| Machine learning platform for extreme scale computing on compressed IoT data S Tirupathi, D Salwala, G Zizzo, A Rawat, M Purcell, SK Jensen, ... 2022 IEEE International Conference on Big Data (Big Data), 3179-3185, 2022 | 7 | 2022 |
| Analysis of deep neural network architectures and similarity metrics for low-dose CT Reconstruction J Brusokas, L Petkevičius 2020 IEEE Open Conference of Electrical, Electronic and Information Sciences …, 2020 | 2 | 2020 |
| Numerical analysis of SLSSIM similarity on medical X-ray image domain J Brusokas, L Petkevičius IVUS 2019. Proceedings of the International Conference on Information …, 2019 | 1 | 2019 |
| Evaluating the Impact of Error-Bounded Lossy Compression on Time Series Forecasting CE Muniz-Cuza, SK Jensen, J Brusokas, N Ho, TB Pedersen | | 2024 |
| CEUR WORKSHOP PROCEEDINGS M Iavich, G Iashvili, A Gagnidze, S Gnatyuk, V Vialkova, J Brusokas, ... | | 2019 |
Linas PetkevičiusInstitute of Computer Science, Vilnius UniversityVerified email at mif.vu.lt
