Functional observer design with application to pre-compensated multi-variable systems. - Shabnam Nazmi; Reza Mohajerpoor; Hamid Abdi; Saeid Nahavandi (CCA, 2015)

Multilabel Classification with Weighted Labels Using Learning Classifier Systems. - Shabnam Nazmi; Mohammad Razeghi-Jahromi; Abdollah Homaifar (ICMLA, 2017)

A novel clustering algorithm based on fitness proportionate sharing. - Xuyang Yan; Abdollah Homaifar; Shabnam Nazmi; Mohammad Razeghi-Jahromi (SMC, 2017)

An Evidence Theory Based Multi Sensor Data Fusion for Multiclass Classification. - Gabriel Awogbami; Norbert A. Agana; Shabnam Nazmi; Xuyang Yan; Abdollah Homaifar (SMC, 2018)

Possibility Rule-Based Classification Using Function Approximation. - Shabnam Nazmi; Abdollah Homaifar (SMC, 2018)

Multi-label Classification Using Genetic-Based Machine Learning. - Shabnam Nazmi; Xuyang Yan; Abdollah Homaifar (SMC, 2018)

Two-Step Markov Update Algorithm for Accuracy-Based Learning Classifier Systems. - Mohammad Razeghi-Jahromi; Shabnam Nazmi; Abdollah Homaifar (Complex Syst., 2018)

Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation. - Shabnam Nazmi; Xuyang Yan; Abdollah Homaifar; Emily A. Doucette (CoRR, 2020)

Evolving multi-label classification rules by exploiting high-order label correlations. - Shabnam Nazmi; Xuyang Yan; Abdollah Homaifar; Emily A. Doucette (Neurocomputing, 2020)

An efficient unsupervised feature selection procedure through feature clustering. - Xuyang Yan; Shabnam Nazmi; Berat A. Erol; Abdollah Homaifar; Biniam Gebru; Edward W. Tunstel (Pattern Recognit. Lett., 2020)

An effective action covering for multi-label learning classifier systems: a graph-theoretic approach. - Shabnam Nazmi; Abdollah Homaifar; Mohd Anwar (GECCO, 2021)

A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering. - Xuyang Yan; Mrinmoy Sarkar; Biniam Gebru; Shabnam Nazmi; Abdollah Homaifar (SMC, 2021)

A Software Tool for Evaluating Unmanned Autonomous Systems. - Abdollah Homaifar; Ali Karimoddini; Mike Heiges; Mubbashar Altaf Khan; Berat A. Erol; Shabnam Nazmi (CoRR, 2021)

Multi-label classification with local pairwise and high-order label correlations using graph partitioning. - Shabnam Nazmi; Xuyang Yan; Abdollah Homaifar; Mohd Anwar (Knowl. Based Syst., 2021)

A clustering-based active learning method to query informative and representative samples. - Xuyang Yan; Shabnam Nazmi; Biniam Gebru; Mohd Anwar; Abdollah Homaifar; Mrinmoy Sarkar; Kishor Datta Gupta (Appl. Intell., 2022)

Mitigating shortage of labeled data using clustering-based active learning with diversity exploration. - Xuyang Yan; Shabnam Nazmi; Biniam Gebru; Mohd Anwar; Abdollah Homaifar; Mrinmoy Sarkar; Kishor Datta Gupta (CoRR, 2022)