Laureta Hajderanj

According to our database, Laureta Hajderanj authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2024

Novel parameter-free and parametric same degree distribution-based dimensionality reduction algorithms for trustworthy data structure preserving.

Laureta Hajderanj, Daqing Chen, Sandra E. M. Dudley, Guillaume Gilloppe, Baptiste Sivy

Inf. Sci., 2024

2021

The Impact of Supervised Manifold Learning on Structure Preserving and Classification Error: A Theoretical Study.

Laureta Hajderanj, Da-Qing Chen, Isakh Weheliye

IEEE Access, 2021

Deep Learning Causal Attributions of Breast Cancer.

Daqing Chen, Laureta Hajderanj, Sarah Mallet, Pierre Camenen, Bo Li, Hao Ren, Erlong Zhao

Proceedings of the Intelligent Computing, 2021

2020

Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing.

Laureta Hajderanj, Da-Qing Chen, Enrico Grisan, Sandra E. M. Dudley

IEEE Access, 2020

2019

A New Supervised t-SNE with Dissimilarity Measure for Effective Data Visualization and Classification.

Laureta Hajderanj, Isakh Weheliye, Daqing Chen

Proceedings of the 2019 8th International Conference on Software and Information Engineering, 2019