Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: TaskMe: multi-task allocation in mobile crowd sensing
mobile crowdsensing : current state and future challenges .
Task assignment optimization in knowledge-intensive crowdsourcing
Multi-robot task allocation: analyzing the complexity and optimality of key architectures
Adaptive Task Assignment for Crowdsourced Classification
Dynamic User Task Scheduling for Mobile Robots
Spatial Crowdsourcing: Challenges and Opportunities
In Defense of Single-column Networks for Crowd Counting
ASAP: An Adaptive Sampling Approach to Data Collection in Sensor Networks
Trading Data in the Crowd: Profit-Driven Data Acquisition for Mobile Crowdsensing
Studying the Effects of Task Notification Policies on Participation and Outcomes in On-the-Go Crowdsourcing
Algorithms for Cooperative Multisensor Surveillance
Real-time Multi-UAV Task Assignment in Dynamic and Uncertain Environments
Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues
Reliable Multiple-choice Iterative Algorithm for Crowdsourcing Systems
Auction-based multi-robot task allocation in COMSTAR
Context-Awareness for Mobile Sensing: A Survey and Future Directions
Robust Multiperson Tracking from a Mobile Platform
Who Should Take This Task?: Dynamic Decision Support for Crowd Workers
Dynamic resource allocation exploiting mobility prediction in mobile edge computing
Multi-robot multi-task allocation for hospital logistics
Exploring Personalized Command Recommendations based on Information Found in Web Documentation
Nericell: rich monitoring of road and traffic conditions using mobile smartphones
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks
Topic Compositional Neural Language Model
Incentivizing Exploration In Reinforcement Learning With Deep Predictive Models