Neuroevolution-Based Fine Tuning of the Quantised Deep Learning Models

von Pietron, Marcin
Veröffentlicht in Future Technologies Conference (8. : 2023 : San Francisco; Online) Proceedings of the future technologies conference (FTC) 2023 ; Volume 4 (2023)

Retrain or Not Retrain? - Efficient Pruning Methods of Deep CNN Networks

von Pietron, Marcin
Veröffentlicht in Computational science - ICCS 2020 ; Part III (2020)

Improvements of Monotonicity Approach to Solve Interval Parametric Linear Systems

von Skalna, Iwona
Veröffentlicht in PPAM (13. : 2019 : Białystok) Parallel processing and applied mathematics ; Part 2 (2020)

A Deep Neural Network as a TABU Support in Solving LABS Problem

von Żurek, Dominik
Veröffentlicht in ICCS (22. : 2022 : London) Computational science - ICCS 2022 ; Part 2 (2022)

New Variants of SDLS Algorithm for LABS Problem Dedicated to GPGPU Architectures

von Żurek, Dominik
Veröffentlicht in ICCS (21. : 2021 : Online) Computational science - ICCS 2021 ; Part 1 (2021)