2 citations · 3 across the 5 of their papers we have counts for
5 papers
Addressing Tactic Volatility in Self-Adaptive Systems Using Evolved Recurrent Neural Networks and Uncertainty Reduction Tactics
Aizaz Ul Haq, Niranjana Deshpande, AbdElRahman ElSaid +2
Self-adaptive systems frequently use tactics to perform adaptations. Tactic examples include the implementation of additional security measures when an intrusion is detected, or ac…
Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data
Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey +4
We propose a novel framework to classify large-scale time series data with long duration. Long time seriesclassification (L-TSC) is a challenging problem because the dataoften cont…
Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation
AbdElRahman ElSaid, Joshua Karns, Alexander Ororbia +3
Transfer learning entails taking an artificial neural network (ANN) that is trained on a source dataset and adapting it to a new target dataset. While this has been shown to be qui…
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility
Jeffrey Palmerino, Qi Yu, Travis Desell +1
When self-adaptive systems encounter changes within their surrounding environments, they enact tactics to perform necessary adaptations. For example, a self-adaptive cloud-based sy…
Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education
Weishi Shi, Samuel Malachowsky, Yasmine El-Glaly +2
Studies indicate that much of the software created today is not accessible to all users, indicating that developers don't see the need to devote sufficient resources to creating ac…