| Solving data trading dilemma with asymmetric incomplete information using zero-determinant strategy K Sooksatra, W Li, B Mei, A Alrawais, S Wang, J Yu Wireless Algorithms, Systems, and Applications: 13th International …, 2018 | 18 | 2018 |
| Monolith to microservices: Vae-based gnn approach with duplication consideration K Sooksatra, R Maharjan, T Cerny 2022 IEEE International Conference on Service-Oriented System Engineering …, 2022 | 12 | 2022 |
| Evaluating accuracy and adversarial robustness of quanvolutional neural networks K Sooksatra, P Rivas, J Orduz 2021 International conference on computational science and computational …, 2021 | 10 | 2021 |
| A review of machine learning and cryptography applications K Sooksatra, P Rivas 2020 International Conference on Computational Science and Computational …, 2020 | 8 | 2020 |
| Fairness-aware auction mechanism for sustainable mobile crowdsensing K Sooksatra, R Li, Y Li, X Guan, W Li Wireless Algorithms, Systems, and Applications: 14th International …, 2019 | 8 | 2019 |
| Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications E Quevedo, T Cerny, A Rodriguez, P Rivas, J Yero, K Sooksatra, ... IEEE access 12, 145286-145317, 2023 | 7 | 2023 |
| Evaluation of adversarial attacks sensitivity of classifiers with occluded input data K Sooksatra, P Rivas Neural Computing and Applications 34 (20), 17615-17632, 2022 | 5 | 2022 |
| An empirical analysis towards replacing vocabulary-rigid embeddings by a vocabulary-free mechanism AR Perez, K Sooksatra, P Rivas, EQ Caballero, JS Turek, G Bichler, ... LatinX in AI Workshop at ICML 2023 (Regular Deadline), 2023 | 4 | 2023 |
| 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 | 4 | 2023 |
| Is ReLU Adversarially Robust? K Sooksatra, G Hamerly, P Rivas arXiv preprint arXiv:2405.03777, 2024 | 3 | 2024 |
| On Adversarial Examples for Text Classification by Perturbing Latent Representations K Sooksatra, B Khanal, P Rivas LatinX in AI at Neural Information Processing Systems Conference 2022, 2022 | 3 | 2022 |
| An adversarial neural cryptography approach to integrity checking: Learning to secure data communications K Sooksatra, P Rivas 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 3 | 2021 |
| Benchmarking Micro2Micro transformation: an approach with GNN and VAE MSH Chy, K Sooksatra, J Yero, T Cerny Cluster Computing 27 (4), 4171-4185, 2024 | 2 | 2024 |
| Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages C Aars, L Adams, X Tian, Z Wang, C Wismer, J Wu, P Rivas, K Sooksatra, ... arXiv preprint arXiv:2405.13350, 2024 | 2 | 2024 |
| Adversarial Training Negatively Affects Fairness K Sooksatra, P Rivas 2021 International Conference on Computational Science and Computational …, 2021 | 2 | 2021 |
| On the Practical Uses of Experimental Adversarial Neural Cryptography K Sooksatra, P Rivas 2021 International Conference on Computational Science and Computational …, 2021 | 2 | 2021 |
| Enhancing adversarial examples on deep q networks with previous information K Sooksatra, P Rivas 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-07, 2021 | 2 | 2021 |
| Generalization error bound for quantum machine learning in NISQ era—a survey B Khanal, P Rivas, A Sanjel, K Sooksatra, E Quevedo, A Rodriguez Quantum Machine Intelligence 6 (2), 1-20, 2024 | 1 | 2024 |
| Dynamic-Max-Value ReLU Functions for Adversarially Robust Machine Learning Models K Sooksatra, P Rivas Mathematics 12 (22), 3551, 2024 | 1 | 2024 |
| Using Static Analysis to Aid Monolith to Microservice System Transformation: Tuning Fuzzy c-Means in a VAE-Based GNN Approach K Sooksatra, MSH Chy, MAR Arju, T Cerny, P Rivas Proceedings of the 39th IEEE/ACM International Conference on Automated …, 2024 | | 2024 |
Pablo RivasComputer Science, Baylor UniversityVerifierad e-postadress på baylor.edu