Shabnam Nazmi

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 16

Top Topics

Clustering Algorithm

Multi Label Classification

Supervised Feature Selection

Top Venues

Publications

Xuyang Yan, Shabnam Nazmi, Biniam Gebru, Mohd Anwar, Abdollah Homaifar, Mrinmoy Sarkar, Kishor Datta Gupta
A clustering-based active learning method to query informative and representative samples. Appl. Intell. 52 (11) (2022)
Xuyang Yan, Shabnam Nazmi, Biniam Gebru, Mohd Anwar, Abdollah Homaifar, Mrinmoy Sarkar, Kishor Datta Gupta
Mitigating shortage of labeled data using clustering-based active learning with diversity exploration. CoRR (2022)
Shabnam Nazmi, Abdollah Homaifar, Mohd Anwar
An effective action covering for multi-label learning classifier systems: a graph-theoretic approach. GECCO (2021)
Abdollah Homaifar, Ali Karimoddini, Mike Heiges, Mubbashar Altaf Khan, Berat A. Erol, Shabnam Nazmi
A Software Tool for Evaluating Unmanned Autonomous Systems. CoRR (2021)
Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar, Mohd Anwar
Multi-label classification with local pairwise and high-order label correlations using graph partitioning. Knowl. Based Syst. 233 (2021)
Xuyang Yan, Mrinmoy Sarkar, Biniam Gebru, Shabnam Nazmi, Abdollah Homaifar
A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering. CoRR (2021)
Xuyang Yan, Mrinmoy Sarkar, Biniam Gebru, Shabnam Nazmi, Abdollah Homaifar
A Supervised Feature Selection Method For Mixed-Type Data using Density-based Feature Clustering. SMC (2021)
Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar, Emily A. Doucette
Evolving multi-label classification rules by exploiting high-order label correlations. Neurocomputing 417 (2020)
Xuyang Yan, Shabnam Nazmi, Berat A. Erol, Abdollah Homaifar, Biniam Gebru, Edward W. Tunstel
An efficient unsupervised feature selection procedure through feature clustering. Pattern Recognit. Lett. 131 (2020)
Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar, Emily A. Doucette
Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation. CoRR (2020)
Gabriel Awogbami, Norbert A. Agana, Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar
An Evidence Theory Based Multi Sensor Data Fusion for Multiclass Classification. SMC (2018)
Shabnam Nazmi, Abdollah Homaifar
Possibility Rule-Based Classification Using Function Approximation. SMC (2018)
Mohammad Razeghi-Jahromi, Shabnam Nazmi, Abdollah Homaifar
Two-Step Markov Update Algorithm for Accuracy-Based Learning Classifier Systems. Complex Syst. 27 (1) (2018)
Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar
Multi-label Classification Using Genetic-Based Machine Learning. SMC (2018)
Xuyang Yan, Abdollah Homaifar, Shabnam Nazmi, Mohammad Razeghi-Jahromi
A novel clustering algorithm based on fitness proportionate sharing. SMC (2017)
Shabnam Nazmi, Mohammad Razeghi-Jahromi, Abdollah Homaifar
Multilabel Classification with Weighted Labels Using Learning Classifier Systems. ICMLA (2017)
Shabnam Nazmi, Reza Mohajerpoor, Hamid Abdi, Saeid Nahavandi
Functional observer design with application to pre-compensated multi-variable systems. CCA (2015)