An inverse classification framework with limited budget and maximum number of perturbed samples.
Expert Syst. Appl., 2023
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales.
CoRR, 2023
Transfer-learning-based Autotuning using Gaussian Copula.
Proceedings of the 37th International Conference on Supercomputing, 2023
HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization.
Proceedings of the IEEE International Conference on Cluster Computing, 2022
A Unified Defect Pattern Analysis of Wafer Maps Using Density-Based Clustering.
IEEE Access, 2021
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations.
Proceedings of the 2021 International Workshop on Performance Modeling, 2021
Inverse Classification with Limited Budget and Maximum Number of Perturbed Samples.
CoRR, 2020
Improved Classification Based on Deep Belief Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
Combined Convolutional and Recurrent Neural Networks for Hierarchical Classification of Images.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics.
Proceedings of the 15th International Conference on Network and Service Management, 2019
Constrained total least-squares computations for high-resolution image reconstruction with multisensors.
Int. J. Imaging Syst. Technol., 2002
Advances in superresolution using L-curve.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001