专题：Mobile Crowdsensing and Crowdsourcing

This cluster of papers focuses on the use of crowdsourcing platforms, particularly Amazon's Mechanical Turk, for research and data collection purposes. It explores topics such as data quality, incentive mechanisms, mobile sensing, truth discovery, and the application of crowdsourcing in behavioral research and participatory sensing.
最新文献
UWM3R: Uncertainty-Weighted Multi-Intent Experts for Direct-Deep Multimodal Ranking

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Identifying Group Anchors in Real-World Group Interactions Under Label Scarcity

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Extracting Uncertainty Estimates from Mixtures of Experts for Semantic Segmentation

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Meta-Fair: AI-assisted fairness testing of large language models

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Mobile urban sensing: Spatio-temporal observability analysis and optimization

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IA-MOE: An Intensity-Aware Mixture of Experts for DNN Inference

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A Survey on Inference Optimization Techniques for Mixture of Experts Models

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Generative AI voting: fair collective choice is resilient to LLM biases and inconsistencies

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Geometry-aware and approximation-free Dijkstra optimization for discrete and continuous pareto fronts for task offloading in edge computing

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Supporting Construction Worker Well-Being With a Multi-Agent Conversational AI System

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近5年高被引文献
Data quality in online human-subjects research: Comparisons between MTurk, Prolific, CloudResearch, Qualtrics, and SONA

article Full Text OpenAlex 1135 FWCI199.0286

Response rates of online surveys in published research: A meta-analysis

article Full Text OpenAlex 1129 FWCI412.0864

Transfer Learning in Deep Reinforcement Learning: A Survey

article Full Text OpenAlex 642 FWCI109.8497

SplitFed: When Federated Learning Meets Split Learning

article Full Text OpenAlex 584 FWCI57.0225

Bias and Debias in Recommender System: A Survey and Future Directions

article Full Text OpenAlex 582 FWCI164.6188

Model Pruning Enables Efficient Federated Learning on Edge Devices

article Full Text OpenAlex 494 FWCI60.8413

Federated learning review: Fundamentals, enabling technologies, and future applications

article Full Text OpenAlex 487 FWCI64.3554

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

review Full Text OpenAlex 431 FWCI75.8737

AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts

article Full Text OpenAlex 394 FWCI91.8362

How-to conduct a systematic literature review: A quick guide for computer science research

article Full Text OpenAlex 375 FWCI105.9682