Mahlagha Sedghi

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 10

Top Topics

Preference Elicitation

Manifold Learning

High Dimensional

Outlier Detection

Top Venues

IEEE Signal Process. Lett.

Publications

Mahlagha Sedghi, Michael Georgiopoulos, George K. Atia
A Multi-Criteria Approach for Fast and Robust Representative Selection from Manifolds. IEEE Trans. Knowl. Data Eng. 34 (7) (2022)
Mahlagha Sedghi, Michael Georgiopoulos, George K. Atia
Sketches by MoSSaRT: Representative selection from manifolds with gross sparse corruptions. Pattern Recognit. 124 (2022)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
Non-linear Manifold Clustering based on Conformity Index. ACSSC (2020)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
A Multi-criteria Approach for Fast and Outlier-aware Representative Selection from Manifolds. CoRR (2020)
Mahlagha Sedghi, Andre Beckus, George K. Atia
Sketch-based Community Detection via Representative Node Sampling. ICPR (2020)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
Low-Dimensional Decomposition of Manifolds in Presence of Outliers. MLSP (2019)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
Robust Manifold Learning via Conformity Pursuit. IEEE Signal Process. Lett. 26 (3) (2019)
Mahlagha Sedghi, George K. Atia, Michael Georgiopoulos
Kernel Coherence Pursuit: A Manifold Learning-based Outlier Detection Technique. ACSSC (2018)
Mahlagha Sedghi, Yinjie Huang, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Multi-Label Learning Via Codewords. ICTAI (2018)
Mahlagha Sedghi, Michael Georgiopoulos, Georgios C. Anagnostopoulos
Sparse Inductive Embedding: An Explorative Data Visualization Technique. ICTAI (2017)