Esmaeil Shakeri

According to our database, Esmaeil Shakeri authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Fluid Path Detection Model for Lab on a Chip Images Using Deep Learning-Based Segmentation Approach.

Mahmood Khalghollah, Esmaeil Shakeri, Azam Zare, Behrouz H. Far, Amir Sanati-Nezhad

Proceedings of the Thirty-Seventh International Florida Artificial Intelligence Research Society Conference, 2024

2023

Explaining Eye Diseases Detected by Machine Learning Using SHAP: A Case Study of Diabetic Retinopathy and Choroidal Nevus.

Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, Emad Mohammed, Roberto Souza, Behrouz H. Far

SN Comput. Sci., September, 2023

Deep Learning-Based Detection and Classification of Uveal Melanoma Using Convolutional Neural Networks and SHAP Analysis.

Esmaeil Shakeri, Emad Mohammed, Trafford Crump, Ezekiel Weis, Carol L. Shields, Sandor R. Ferenczy, Behrouz H. Far

Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

2022

COVID-19 Vaccine Infodemiology using Unsupervised Natural Language Processing.

Esmaeil Shakeri, Anja Slama, Roberto Souza, Behrouz Homayoun Far

Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

Using SHAP Analysis to Detect Areas Contributing to Diabetic Retinopathy Detection.

Esmaeil Shakeri, Trafford Crump, Ezekiel Weis, Roberto Souza, Behrouz Homayoun Far

Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

2021

Important Features Identification for Prostate Cancer Patients Stratification Using Isolation Forest and Interactive Clustering Method.

Emad A. Mohammed, Esmaeil Shakeri, Zahra Shakeri Hossein Abad, Trafford Crump, Behrouz H. Far

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Exploring Features Contributing to the Early Prediction of Sepsis Using Machine Learning.

Esmaeil Shakeri, Emad A. Mohammed, Zahra Shakeri Hossein Abad, Behrouz Homayoun Far

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Exploring the requirements of pandemic awareness systems: a case study of COVID-19 using social media data.

Esmaeil Shakeri, Behrouz H. Far

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2020