| Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities. | 0 | 0.34 | 2022 |
| Performance Modeling of Scalable Resource Allocations with the Imperial PEPA Compiler | 0 | 0.34 | 2022 |
| A Performance-Oriented Comparison of Neural Network Approaches for Anomaly-based Intrusion Detection. | 0 | 0.34 | 2021 |
| Two-level Dynamic Load Balancing for High Performance Scientific Applications. | 0 | 0.34 | 2020 |
| Autonomic feature selection using computational intelligence | 0 | 0.34 | 2020 |
| A hybrid model-free approach for the near-optimal intrusion response control of non-stationary systems | 1 | 0.38 | 2020 |
| An approach for realistically simulating the performance of scientific applications on high performance computing systems | 1 | 0.34 | 2020 |
| Exploring Loop Scheduling Enhancements in OpenMP: An LLVM Case Study | 0 | 0.34 | 2019 |
| A Performance Evaluation of Deep Reinforcement Learning for Model-Based Intrusion Response | 0 | 0.34 | 2019 |
| Introduction to PDSEC-19 | 0 | 0.34 | 2019 |
| PEPA Based Performance Modeling for Robust Resource Allocations Amid Varying Processor Availability | 0 | 0.34 | 2018 |
| Experimental Verification and Analysis of Dynamic Loop Scheduling in Scientific Applications | 2 | 0.39 | 2018 |
| Towards the Reproducibility of Using DLS Techniques in Scientific Applications | 0 | 0.34 | 2017 |
| Keeping up with technology: Teaching Parallel, Distributed and High-Performance Computing | 1 | 0.48 | 2017 |
| An Autonomic Approach for the Selection of Robust Dynamic Loop Scheduling Techniques | 3 | 0.40 | 2017 |
| A Comparison of Graph-Based Synthetic Data Generators for Benchmarking Next-Generation Intrusion Detection Systems | 1 | 0.35 | 2017 |
| Towards an autonomic performance management approach for a cloud broker environment using a decomposition-coordination based methodology | 7 | 0.43 | 2016 |
| Towards Robust Resource Allocations via Performance Modeling with Stochastic Process Algebra | 2 | 0.42 | 2015 |
| Scalability Analysis and Evaluation of Divisible Load Scheduling | 0 | 0.34 | 2014 |
| Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning | 4 | 0.52 | 2014 |
| Robustness Prediction and Evaluation of Divisible Load Scheduling on Computing Systems with Unpredictable Variations | 0 | 0.34 | 2014 |
| An Interaction Balance Based Approach for Autonomic Performance Management in a Cloud Computing Environment. | 3 | 0.41 | 2014 |
| Evaluating the Flexibility of Dynamic Loop Scheduling on Heterogeneous Systems in the Presence of Fluctuating Load Using SimGrid | 1 | 0.36 | 2013 |
| Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network | 4 | 0.74 | 2013 |
| Analyzing the Robustness of Scheduling Algorithms Using Divisible Load Theory on Heterogeneous Systems | 3 | 0.38 | 2013 |
| A Combined Dual-stage Framework for Robust Scheduling of Scientific Applications in Heterogeneous Environments with Uncertain Availability | 2 | 0.37 | 2012 |
| Towards the Scalability of Dynamic Loop Scheduling Techniques via Discrete Event Simulation | 6 | 0.49 | 2012 |
| Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems | 0 | 0.34 | 2012 |
| A Utility Based Power-Aware Autonomic Approach for Running Scientific Applications | 0 | 0.34 | 2012 |
| Investigating asymptotic properties of vector nonlinear time series models | 0 | 0.34 | 2011 |
| Enhancing the Functionality of a GridSim-Based Scheduler for Effective Use with Large-Scale Scientific Applications | 3 | 0.40 | 2011 |
| A parameter study of a hybrid Laplacian mean-curvature flow denoising model | 0 | 0.34 | 2011 |
| Investigating the robustness of adaptive Dynamic Loop Scheduling on heterogeneous computing systems | 8 | 0.56 | 2010 |
| Towards the Robustness of Dynamic Loop Scheduling on Large-Scale Heterogeneous Distributed Systems | 9 | 0.67 | 2009 |
| Dynamic load balancing with adaptive factoring methods in scientific applications | 25 | 0.89 | 2008 |
| Parallel Data Compression for Hyperspectral Imagery | 2 | 0.49 | 2008 |
| Investigating a Dynamic Loop Scheduling with Reinforcement Learning Approach to Load Balancing in Scientific Applications | 2 | 0.39 | 2008 |
| Parallel implementations of three scientific applications using LB_migrate | 0 | 0.34 | 2008 |
| A Tool For A Two-Level Dynamic Load Balancing Strategy In Scientific Applications | 0 | 0.34 | 2007 |
| Effectiveness of a Dynamic Load Balancing Library for Scientific Applications | 1 | 0.36 | 2007 |
| Simulation of a hybrid model for image denoising | 5 | 0.49 | 2006 |
| A Dynamic Load Balancing Tool for One and Two Dimensional Parallel Loops | 4 | 0.47 | 2006 |
| Dynamic load balancing with MatlabMPI | 1 | 0.35 | 2006 |
| Quantum Trajectories with Dynamic Loop Scheduling and Reinforcement Learning | 0 | 0.34 | 2005 |
| Design and implementation of a novel dynamic load balancing library for cluster computing | 11 | 0.58 | 2005 |
| Guest Editorial on Challenges of Large Applications in Distributed Environments (CLADE) | 0 | 0.34 | 2005 |
| Vector nonlinear time-series analysis of gamma-ray burst datasets on heterogeneous clusters | 1 | 0.37 | 2005 |
| Simulation of Vector Nonlinear Time Series Models on Clusters | 4 | 1.32 | 2005 |
| A Load Balancing Tool for Distributed Parallel Loops | 19 | 1.02 | 2005 |
| Overhead Analysis of a Dynamic Load Balancing Library for Cluster Computing | 6 | 0.54 | 2005 |
