| Deep learning poison data attack detection H Chacon, S Silva, P Rad 2019 IEEE 31st International Conference on Tools with Artificial …, 2019 | 36 | 2019 |
| Improving financial time series prediction accuracy using ensemble empirical mode decomposition and recurrent neural networks HD Chacón, E Kesici, P Najafirad IEEE Access 8, 117133-117145, 2020 | 31 | 2020 |
| Stuttering speech disfluency prediction using explainable attribution vectors of facial muscle movements A Das, J Mock, H Chacon, F Irani, E Golob, P Najafirad arXiv preprint arXiv:2010.01231, 2020 | 13 | 2020 |
| Forecasting call center arrivals using temporal memory networks and gradient boosting algorithm H Chacón, V Koppisetti, D Hardage, KKR Choo, P Rad Expert Systems with Applications 224, 119983, 2023 | 4 | 2023 |
| Effect of backdoor attacks over the complexity of the latent space distribution HD Chacon, P Rad arXiv preprint arXiv:2012.01931, 2020 | 4 | 2020 |
| Piecewise solutions to big data H Chacon, A Roy College of Business, University of Texas at San Antonio Working Papers, 2017 | 3 | 2017 |
| Countermeasures Against Backdoor, Data Poisoning, and Adversarial Attacks HD Chacón The University of Texas at San Antonio, 2021 | | 2021 |
Peyman Najafirad (Paul Rad)University of Texas at San AntonioE-mail confirmado em utsa.edu
