Crowdassistant-Reference-Cited by-同舟云学术

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Crowdassistant

Published:2018-05-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Workshop on Crowd Sourcing in Software Engineering
language:
Short-container-title:

Author:

Abhinav Kumar¹,Dubey Alpana¹,Jain Sakshi¹,Bhatia Gurpriya Kaur²,McCartin Blake³,Bhardwaj Nitish¹

Affiliation:

1. Accenture Labs, Bangalore

2. IIIT-Delhi

3. Accenture

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3195863.3195865

Reference4 articles.

1. An exploratory study of contribution barriers experienced by newcomers to open source software projects

2. The future of crowd work

3. The Good, the Bad and the Ugly: An Onboard Journey in Software Crowdsourcing Competitive Model

4. Barriers Faced by Newcomers to Software-Crowdsourcing Projects

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1. Robust kernel adaptive filtering for nonlinear time series prediction;Signal Processing;2023-09

2. Nonlinear Spline Versoria Prioritization Optimization Adaptive Filter for Alpha-Stable Clutter;IEEE Transactions on Aerospace and Electronic Systems;2023-02

3. Towards Artificial Intelligence Augmenting Facilitation: AI Affordances in Macro-Task Crowdsourcing;Group Decision and Negotiation;2023-01-10

4. Dynamic power decoupling for low-voltage ride-through of grid-forming inverters;Energy Reports;2022-11

5. Modern Baselines for SPARQL Semantic Parsing;Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval;2022-07-06

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