Shabnam Nazmi

According to our database, Shabnam Nazmi authored at least 16 papers between 2015 and 2022.

Collaborative distances:

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

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

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

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 Software Tool for Evaluating Unmanned Autonomous Systems.

Abdollah Homaifar, Ali Karimoddini, Mike Heiges, Mubbashar Altaf Khan, Berat A. Erol, Shabnam Nazmi

CoRR, 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

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

An effective action covering for multi-label learning classifier systems: a graph-theoretic approach.

Shabnam Nazmi, Abdollah Homaifar, Mohd Anwar

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

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

Evolving multi-label classification rules by exploiting high-order label correlations.

Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar, Emily A. Doucette

Neurocomputing, 2020

Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation.

Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar, Emily A. Doucette

CoRR, 2020

2018

Two-Step Markov Update Algorithm for Accuracy-Based Learning Classifier Systems.

Mohammad Razeghi-Jahromi, Shabnam Nazmi, Abdollah Homaifar

Complex Syst., 2018

Multi-label Classification Using Genetic-Based Machine Learning.

Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Possibility Rule-Based Classification Using Function Approximation.

Shabnam Nazmi, Abdollah Homaifar

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

An Evidence Theory Based Multi Sensor Data Fusion for Multiclass Classification.

Gabriel Awogbami, Norbert A. Agana, Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017

A novel clustering algorithm based on fitness proportionate sharing.

Xuyang Yan, Abdollah Homaifar, Shabnam Nazmi, Mohammad Razeghi-Jahromi

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Multilabel Classification with Weighted Labels Using Learning Classifier Systems.

Shabnam Nazmi, Mohammad Razeghi-Jahromi, Abdollah Homaifar

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2015

Functional observer design with application to pre-compensated multi-variable systems.

Shabnam Nazmi, Reza Mohajerpoor, Hamid Abdi, Saeid Nahavandi

Proceedings of the 2015 IEEE Conference on Control Applications, 2015