Search Results for author:
Found 7 papers, 1 papers with code
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms
The Act step then recommends to the user which activities to perform on the identified set of items.
PatchNet: A Tool for Deep Patch Classification
This work proposes PatchNet, an automated tool based on hierarchical deep learning for classifying patches by extracting features from commit messages and code changes.
JobComposer: Career Path Optimization via Multicriteria Utility Learning
Its key premise is that the observed career trajectories in OPNs may not necessarily be optimal, and can be improved by learning to maximize the sum of payoffs attainable by following a career path.
Network-Clustered Multi-Modal Bug Localization
To help the developers debug, numerous information retrieval (IR)-based and spectrum-based bug localization techniques have been devised.
Local Gaussian Processes for Efficient Fine-Grained Traffic Speed Prediction
In this work, we address their efficiency issues by proposing local GPs to learn from and make predictions for correlated subsets of data.
WebAPIRec: Recommending Web APIs to Software Projects via Personalized Ranking
In this light, we propose a new, automated approach called WebAPIRec that takes as input a project profile and outputs a ranked list of {web} APIs that can be used to implement the project.
Collective Semi-Supervised Learning for User Profiling in Social Media
The abundance of user-generated data in social media has incentivized the development of methods to infer the latent attributes of users, which are crucially useful for personalization, advertising and recommendation.
