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)

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

Unsupervised Feature Selection through Fitness Proportionate Sharing Clustering. - Xuyang Yan; Abdollah Homaifar; Gabriel Awogbami; Abenezer Girma (SMC, 2018)

Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network. - Abenezer Girma; Xuyang Yan; Abdollah Homaifar (ICTAI, 2019)

A Novel Streaming Data Clustering Algorithm Based on Fitness Proportionate Sharing. - Xuyang Yan; Mohammad Razeghi-Jahromi; Abdollah Homaifar; Berat A. Erol; Abenezer Girma; Edward W. Tunstel (IEEE Access, 2019)

Frequency Domain Response Characteristic based Weight Design of Finite Control Set Model Predictive Control in PMSM Driving System. - Xuyang Yan; Bo Guan; Xiong Du (IECON, 2020)

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)

A niching framework based on fitness proportionate sharing for multi-objective genetic algorithm (MOGA-FPS). - Abdul-Rauf Nuhu; Xuyang Yan; Daniel Opoku; Abdollah Homaifar (GECCO Companion, 2021)

A Clustering-based framework for Classifying Data Streams. - Xuyang Yan; Abdollah Homaifar; Mrinmoy Sarkar; Abenezer Girma; Edward W. Tunstel (IJCAI, 2021)

A Framework for Testing and Evaluation of Operational Performance of Multi-UAV Systems. - Mrinmoy Sarkar; Xuyang Yan; Shamila Nateghi; Bruce J. Holmes; Kyriakos G. Vamvoudakis; Abdollah Homaifar (IntelliSys (1), 2021)

DA2-Net : Diverse & Adaptive Attention Convolutional Neural Network. - Abenezer Girma; Abdollah Homaifar; M. Nabil Mahmoud; Xuyang Yan; Mrinmoy Sarkar (SMC, 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 Framework for eVTOL Performance Evaluation in Urban Air Mobility Realm. - Mrinmoy Sarkar; Xuyang Yan; Abenezer Girma; Abdollah Homaifar (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 novel search and survey technique for unmanned aerial systems in detecting and estimating the area for wildfires. - Mrinmoy Sarkar; Xuyang Yan; Berat A. Erol; Ioannis A. Raptis; Abdollah Homaifar (Robotics Auton. Syst., 2021)

Identifying Anomalous Flight Trajectories by leveraging ensembled outlier detection framework. - Mikol Forney; Xuyang Yan; Kishor Datta Gupta; Mahmoud Nabil Mahmoud; Abdollah Homaifar (IJCNN, 2022)

A Comprehensive eVTOL Performance Evaluation Framework in Urban Air Mobility. - Mrinmoy Sarkar; Xuyang Yan; Abenezer Girma; Abdollah Homaifar (IntelliSys (1), 2022)

A Data-driven Approach for Travel Time Prediction and Analysis. - Benjamin Lartey; Lydia Zeleke; Xuyang Yan; Kishor Datta Gupta; Abdollah Homaifar; Ali Karimoddini (SMC, 2022)

Interpretable Convolutional Learning Classifier System (C-LCS) for higher dimensional datasets. - Jelani Owens; Kishor Datta Gupta; Xuyang Yan; Lydia Asrat Zeleke; Abdollah Homaifar (SMC, 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)

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)

Complete coverage path planning algorithm based on energy compensation and obstacle vectorization. - Longda Gao; Weiyang Lv; Xuyang Yan; Yanzheng Han (Expert Syst. Appl., 2022)

A Discriminative DeepLab Model (DDLM) for Surface Anomaly Detection and Localization. - Nana Kankam Gyimah; Kishor Datta Gupta; Mahmoud Nabil 001; Xuyang Yan; Abenezer Girma; Abdollah Homaifar; Daniel Opoku (CCWC, 2023)

An Online Unsupervised Streaming Features Selection Through Dynamic Feature Clustering. - Xuyang Yan; Abdollah Homaifar; Mrinmoy Sarkar; Benjamin Lartey; Kishor Datta Gupta (IEEE Trans. Artif. Intell., 2023)

An Online Learning Framework for Sensor Fault Diagnosis Analysis in Autonomous Cars. - Xuyang Yan; Mrinmoy Sarkar; Benjamin Lartey; Biniam Gebru; Abdollah Homaifar; Ali Karimoddini; Edward W. Tunstel (IEEE Trans. Intell. Transp. Syst., 2023)

Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-Grained Motor Behavior Recognition. - Cheng Liu; Xuyang Yan; Zekun Zhang; Cheng Ding; Tianhao Zhao; Shaya Jannati; Cynthia Martinez; Dietrich Stout (DSAA, 2024)

NCAT12-DET: A New Benchmark Dataset for Surface Defect Detection and a Comparative Study. - Nana Kankam Gyimah; Robert Akinie; Xuyang Yan; Mahmoud Nabil 001; Kishor Datta Gupta; Abdollah Homaifar; Vahid Hemmati; Daniel Opoku (IEEE Access, 2024)

A Data-Driven Approach for Performance Evaluation of Autonomous eVTOLs. - Mrinmoy Sarkar; Xuyang Yan; Biniam Gebru; Abdul-Rauf Nuhu; Kishor Datta Gupta; Kyriakos G. Vamvoudakis; Abdollah Homaifar (IEEE Trans. Aerosp. Electron. Syst., 2025)