| A machine learning-based segmentation approach for measuring similarity between sign languages TD Jui, G Bejarano, P Rivas Proceedings of the LREC2022 10th Workshop on the Representation and …, 2022 | 9 | 2022 |
| Fairness issues, current approaches, and challenges in machine learning models TD Jui, P Rivas International Journal of Machine Learning and Cybernetics, 1-31, 2024 | 4 | 2024 |
| Performance analysis of quantum machine learning classifiers T Jui, O Ayoade, P Rivas, J Orduz NeurIPS 2021 Workshop LatinX in AI, 2021 | 3 | 2021 |
| AI ethics for earth sciences P Rivas, C Thompson, B Tafur, B Khanal, O Ayoade, TD Jui, K Sooksatra, ... Artificial intelligence in earth science, 379-396, 2023 | 2 | 2023 |
| Tonni Das Jui, Korn Sooksatra, Javier Orduz, and Gissella Bejarano. 2023. AI ethics for earth sciences P Rivas, C Thompson, B Tafur, B Khanal, O Ayoade Artificial intelligence in earth science, 379-396, 0 | 2 | |
| 3D model generation of real-objects using depth and color information AB Sakib, H Azam, TD Jui, F Akter BRAC University, 2018 | 1 | 2018 |
| Quantum-Enhanced Representation Learning: A Quanvolutional Autoencoder Approach against DDoS Threats P Rivas, J Orduz, TD Jui, C DeCusatis, B Khanal Machine Learning and Knowledge Extraction 6 (2), 944-964, 2024 | | 2024 |
| From Static Graph Attention Generation to Dynamic Graph Attention Coefficient EB Tonni Das Jui, Mary Lauren Benton The 2024 World Congress in Computer Science, Computer Engineering, & Applied …, 2024 | | 2024 |
| k-Hopped Link Prediction With Graph Embedding TD Jui, E Baker, ML Benton 2023 Congress in Computer Science, Computer Engineering, & Applied Computing …, 2023 | | 2023 |
| 3D model generation of real-objects using depth and color information TD Jui, AB Sakib, A Islam Global Scientific Journal 8 (3), 2889-2897, 2020 | | 2020 |
| Design and Implementation of Digital Attendance System using OTP Encryption TD Jui, SMKH Shahi, SMM Hussain International journal of computer application 176 (28), 35-41, 2020 | | 2020 |
| Assessing information influence for node attribute prediction TD Jui, E Baker, ML Benton | | |
| Experimental Analysis of Contemporary Trends, Performance, and Limitations in Graph Embeddings: A Concise Review TD Jui, E Baker, ML Benton | | |
| From Static Graph Attention Generation to Dynamic Graph Attention Coefficient TD Jui, ML Benton, E Baker | | |
Pablo RivasComputer Science, Baylor University在 baylor.edu 的电子邮件经过验证
Pablo RivasComputer Science, Baylor University在 baylor.edu 的电子邮件经过验证
Mary Lauren BentonAssistant Professor, Bioinformatics, Baylor University在 baylor.edu 的电子邮件经过验证