A New Supervised t-SNE with Dissimilarity Measure for Effective Data Visualization and Classification. - Laureta Hajderanj; Isakh Weheliye; Daqing Chen 001 (ICSIE, 2019)

Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing. - Laureta Hajderanj; Da-Qing Chen 001; Enrico Grisan; Sandra E. M. Dudley (IEEE Access, 2020)

Deep Learning Causal Attributions of Breast Cancer. - Daqing Chen 001; Laureta Hajderanj; Sarah Mallet; Pierre Camenen; Bo Li 004; Hao Ren; Erlong Zhao (SAI (3), 2021)

The Impact of Supervised Manifold Learning on Structure Preserving and Classification Error: A Theoretical Study. - Laureta Hajderanj; Da-Qing Chen 001; Isakh Weheliye (IEEE Access, 2021)

Novel parameter-free and parametric same degree distribution-based dimensionality reduction algorithms for trustworthy data structure preserving. - Laureta Hajderanj; Daqing Chen 001; Sandra E. M. Dudley; Guillaume Gilloppe; Baptiste Sivy (Inf. Sci., 2024)