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Korn Sooksatra
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2020 – today
- 2024
- [j3]Ernesto Quevedo
, Tomás Cerný
Legal Natural Language Processing From 2015 to 2022: A Comprehensive Systematic Mapping Study of Advances and Applications. IEEE Access 12: 145286-145317 (2024) - [j2]Md Showkat Hossain Chy, Korn Sooksatra, Jorge Yero, Tomás Cerný:
Benchmarking Micro2Micro transformation: an approach with GNN and VAE. Clust. Comput. 27(4): 4171-4185 (2024) - [c12]Tomás Cerný
A Multi-variant Benchmark for Microservice Systems in Software Engineering Research. ECSA (Tracks and Workshops) 2024: 21-29 - [c11]Korn Sooksatra, Alejandro Rodríguez Pérez, Pablo Rivas:
Resilient Word-Embedding Alignment for BERT with Character-Based Layer in Noisy Environments. IJCNN 2024: 1-8 - [c10]Korn Sooksatra
Using Static Analysis to Aid Monolith to Microservice System Transformation: Tuning Fuzzy c-Means in a VAE-Based GNN Approach. ASE Workshops 2024: 43-53 - [i4]Korn Sooksatra, Greg Hamerly, Pablo Rivas:
Is ReLU Adversarially Robust? CoRR abs/2405.03777 (2024) - [i3]Korn Sooksatra, Bikram Khanal, Pablo Rivas:
On Adversarial Examples for Text Classification by Perturbing Latent Representations. CoRR abs/2405.03789 (2024) - [i2]Corinne Aars, Lauren Adams, Xiaokan Tian, Zhaoyu Wang, Colton Wismer, Jason Wu, Pablo Rivas, Korn Sooksatra, Matthew Fendt:
Efficacy of ByT5 in Multilingual Translation of Biblical Texts for Underrepresented Languages. CoRR abs/2405.13350 (2024) - [i1]Bikram Khanal, Pablo Rivas, Arun Sanjel, Korn Sooksatra, Ernesto Quevedo, Alejandro Rodríguez Pérez:
Generalization Error Bound for Quantum Machine Learning in NISQ Era - A Survey. CoRR abs/2409.07626 (2024) - 2023
- [c9]Korn Sooksatra, Gissella Bejarano, Pablo Rivas:
Evaluating Robustness of Reconstruction Models with Adversarial Networks. INNS DLIA@IJCNN 2023: 353-366 - 2022
- [j1]Korn Sooksatra, Pablo Rivas
Evaluation of adversarial attacks sensitivity of classifiers with occluded input data. Neural Comput. Appl. 34(20): 17615-17632 (2022) - [c8]Korn Sooksatra, Rokin Maharjan, Tomás Cerný:
Monolith to Microservices: VAE-Based GNN Approach with Duplication Consideration. SOSE 2022: 1-10 - 2021
- [c7]Korn Sooksatra, Pablo Rivas
On the Practical Uses of Experimental Adversarial Neural Cryptography. CSCI 2021: 40-46 - [c6]Korn Sooksatra, Pablo Rivas
Adversarial Training Negatively Affects Fairness. CSCI 2021: 140-145 - [c5]Korn Sooksatra, Pablo Rivas
Evaluating Accuracy and Adversarial Robustness of Quanvolutional Neural Networks. CSCI 2021: 152-157 - [c4]Korn Sooksatra, Pablo Rivas
An Adversarial Neural Cryptography Approach to Integrity Checking: Learning to Secure Data Communications. IJCNN 2021: 1-8 - [c3]Korn Sooksatra, Pablo Rivas
Enhancing Adversarial Examples on Deep Q Networks with Previous Information. SSCI 2021: 1-7
2010 – 2019
- 2019
- [c2]Korn Sooksatra, Ruinian Li, Yingshu Li, Xin Guan, Wei Li:
Fairness-Aware Auction Mechanism for Sustainable Mobile Crowdsensing. WASA 2019: 310-321 - 2018
- [c1]Korn Sooksatra, Wei Li, Bo Mei, Arwa Alrawais, Shengling Wang, Jiguo Yu:
Solving Data Trading Dilemma with Asymmetric Incomplete Information Using Zero-Determinant Strategy. WASA 2018: 425-437
Coauthor Index
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