Bengie L. Ortiz

According to our database, Bengie L. Ortiz authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

Reliable pneumonia detection and wheeze-crackle classification via data balancing and augmentation.

Jaewon Seong, Soo Min Oh, Bengie L. Ortiz, Jo Woon Chong

Signal Image Video Process., April, 2026

2025

Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning.

Majid Behzadpour, Ebrahim Azizi, Kai Wu, Bengie L. Ortiz

CoRR, January, 2025

Automated Glaucoma Classification in Fundus Images Using Multi-Backbone Feature Fusion.

Juhee Han, Soo Min Oh, Hee Jo, Bengie L. Ortiz, Yifan Li, Jo Woon Chong

Proceedings of the 25th IEEE International Conference on Bioinformatics and Bioengineering, 2025

2024

Breast Tumor Classification Using EfficientNet Deep Learning Model.

Majid Behzadpour, Bengie L. Ortiz, Ebrahim Azizi, Kai Wu

CoRR, 2024

Preparing Wearable Data for AI-Powered Mood and Compliance Prediction in HCT Patients and Caregivers.

Charles B. Ziegenbein, Bengie L. Ortiz, Vibhuti Gupta, Sung Won Choi

Proceedings of the IEEE International Conference on Big Data, 2024

2022

User Authentication Recognition Process Using Long Short-Term Memory Model.

Bengie L. Ortiz, Vibhuti Gupta, Jo Woon Chong, Kwanghee Jung, Tim Dallas

Multimodal Technol. Interact., December, 2022

Time-Series Forecasting: Extreme Gradient Boosting Implementation in Smartphone Photoplethysmography Signals for Biometric Authentication Processes.

Bengie L. Ortiz, Evan Miller, Tim Dallas, Jo Woon Chong

Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022