most citedFractal interpolation in the context of prediction accuracy optimization

13 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

cs.NE2026

Texture Regenerating and Grafting Using Genome-Driven Neural Cellular Automata

Mirela-Magdalena Catrina, Ioana Cristina Plajer, Alexandra Băicoianu

This study significantly advances multi-texture synthesis using Neural Cellular Automata (NCAs) by introducing a novel training methodology that enables robust self-regeneration of…

cs.NE2024

Multi-Texture Synthesis through Signal Responsive Neural Cellular Automata

Mirela-Magdalena Catrina, Ioana Cristina Plajer, Alexandra Baicoianu

Neural Cellular Automata (NCA) have proven to be effective in a variety of fields, with numerous biologically inspired applications. One of the fields, in which NCAs perform well i…

cs.DB2024

Optimizing Intensive Database Tasks Through Caching Proxy Mechanisms

Ionut-Alex Moise, Alexandra Băicoianu

Web caching is essential for the World Wide Web, saving processing power, bandwidth, and reducing latency. Many proxy caching solutions focus on buffering data from the main server…

quant-ph2024★ 3 cited

Quantum Tunneling: From Theory to Error-Mitigated Quantum Simulation

Sorana Catrina, Alexandra Băicoianu

Ever since the discussions about a possible quantum computer arised, quantum simulations have been at the forefront of possible utilities and the task of quantum simulations is one…

cs.CV2024★ 2 cited

Spectral Image Data Fusion for Multisource Data Augmentation

Roberta Iuliana Luca, Alexandra Baicoianu, Ioana Cristina Plajer

Multispectral and hyperspectral images are increasingly popular in different research fields, such as remote sensing, astronomical imaging, or precision agriculture. However, the a…

cs.LG2024★ 13 cited

Fractal interpolation in the context of prediction accuracy optimization

Alexandra Baicoianu, Cristina Gabriela Gavrilă, Cristina Maria Pacurar +1

This paper focuses on the hypothesis of optimizing time series predictions using fractal interpolation techniques. In general, the accuracy of machine learning model predictions is…

cs.SE2024★ 1 cited

Towards Generating Executable Metamorphic Relations Using Large Language Models

Seung Yeob Shin, Fabrizio Pastore, Domenico Bianculli +1

Metamorphic testing (MT) has proven to be a successful solution to automating testing and addressing the oracle problem. However, it entails manually deriving metamorphic relations…