14 citations · 20 across the 8 of their papers we have counts for
14 papers
Story Point Effort Estimation by Text Level Graph Neural Network
Hung Phan, Ali Jannesari
Estimating the software projects' efforts developed by agile methods is important for project managers or technical leads. It provides a summary as a first view of how many hours a…
Learning Intermediate Representations using Graph Neural Networks for NUMA and Prefetchers Optimization
Ali TehraniJamsaz, Mihail Popov, Akash Dutta +2
There is a large space of NUMA and hardware prefetcher configurations that can significantly impact the performance of an application. Previous studies have demonstrated how a mode…
CLAWS: Contrastive Learning with hard Attention and Weak Supervision
Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just +2
Learning effective visual representations without human supervision is a long-standing problem in computer vision. Recent advances in self-supervised learning algorithms have utili…
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data
Aishwarya Sarkar, Jien Zhang, Chaoqun Lu +1
Extracting and meticulously analyzing geo-spatiotemporal features is crucial to recognize intricate underlying causes of natural events, such as floods. Limited evidence about hidd…
Temporal Shift Reinforcement Learning
Deepak George Thomas, Tichakorn Wongpiromsarn, Ali Jannesari
The function approximators employed by traditional image-based Deep Reinforcement Learning (DRL) algorithms usually lack a temporal learning component and instead focus on learning…
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning
Deepak-George Thomas, Daniil Olshanskyi, Karter Krueger +2
The significant components of any successful autonomous flight system are task completion and collision avoidance. Most deep learning algorithms successfully execute these aspects…