Sparse Inductive Embedding: An Explorative Data Visualization Technique. - Mahlagha Sedghi; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ICTAI, 2017)

Kernel Coherence Pursuit: A Manifold Learning-based Outlier Detection Technique. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (ACSSC, 2018)

Multi-Label Learning Via Codewords. - Mahlagha Sedghi; Yinjie Huang; Michael Georgiopoulos; Georgios C. Anagnostopoulos (ICTAI, 2018)

Low-Dimensional Decomposition of Manifolds in Presence of Outliers. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (MLSP, 2019)

Robust Manifold Learning via Conformity Pursuit. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (IEEE Signal Process. Lett., 2019)

Non-linear Manifold Clustering based on Conformity Index. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (ACSSC, 2020)

Sketch-based Community Detection via Representative Node Sampling. - Mahlagha Sedghi; Andre Beckus; George K. Atia (ICPR, 2020)

A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds. - Mahlagha Sedghi; George K. Atia; Michael Georgiopoulos (CoRR, 2020)

Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions. - Mahlagha Sedghi; Michael Georgiopoulos; George K. Atia (Pattern Recognit., 2022)

A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds. - Mahlagha Sedghi; Michael Georgiopoulos; George K. Atia (IEEE Trans. Knowl. Data Eng., 2022)