Artículos de revistas sobre el tema "Crowdsourcing experiments"
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Ramírez, Jorge, Burcu Sayin, Marcos Baez, Fabio Casati, Luca Cernuzzi, Boualem Benatallah y Gianluca Demartini. "On the State of Reporting in Crowdsourcing Experiments and a Checklist to Aid Current Practices". Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (13 de octubre de 2021): 1–34. http://dx.doi.org/10.1145/3479531.
Texto completoDanilchuk, M. V. "THE POTENTIAL OF THE CROWDSOURCING AS A METHOD OF LINGUISTIC EXPERIMENT". Bulletin of Kemerovo State University, n.º 4 (23 de diciembre de 2018): 198–204. http://dx.doi.org/10.21603/2078-8975-2018-4-198-204.
Texto completoMakiguchi, Motohiro, Daichi Namikawa, Satoshi Nakamura, Taiga Yoshida, Masanori Yokoyama y Yuji Takano. "Proposal and Initial Study for Animal Crowdsourcing". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 (5 de septiembre de 2014): 40–41. http://dx.doi.org/10.1609/hcomp.v2i1.13185.
Texto completoLutz, Johannes. "The Validity of Crowdsourcing Data in Studying Anger and Aggressive Behavior". Social Psychology 47, n.º 1 (enero de 2016): 38–51. http://dx.doi.org/10.1027/1864-9335/a000256.
Texto completoJiang, Ming, Zhiqi Shen, Shaojing Fan y Qi Zhao. "SALICON: a web platform for crowdsourcing behavioral experiments". Journal of Vision 17, n.º 10 (31 de agosto de 2017): 704. http://dx.doi.org/10.1167/17.10.704.
Texto completoDella Mea, Vincenzo, Eddy Maddalena y Stefano Mizzaro. "Mobile crowdsourcing: four experiments on platforms and tasks". Distributed and Parallel Databases 33, n.º 1 (16 de octubre de 2014): 123–41. http://dx.doi.org/10.1007/s10619-014-7162-x.
Texto completoKandylas, Vasilis, Omar Alonso, Shiroy Choksey, Kedar Rudre y Prashant Jaiswal. "Automating Crowdsourcing Tasks in an Industrial Environment". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (3 de noviembre de 2013): 95–96. http://dx.doi.org/10.1609/hcomp.v1i1.13056.
Texto completoKu, Chih-Hao y Maryam Firoozi. "The Use of Crowdsourcing and Social Media in Accounting Research". Journal of Information Systems 33, n.º 1 (1 de noviembre de 2017): 85–111. http://dx.doi.org/10.2308/isys-51978.
Texto completoBaba, Yukino, Hisashi Kashima, Kei Kinoshita, Goushi Yamaguchi y Yosuke Akiyoshi. "Leveraging Crowdsourcing to Detect Improper Tasks in Crowdsourcing Marketplaces". Proceedings of the AAAI Conference on Artificial Intelligence 27, n.º 2 (6 de octubre de 2021): 1487–92. http://dx.doi.org/10.1609/aaai.v27i2.18987.
Texto completoLiu, Chong y Yu-Xiang Wang. "Doubly Robust Crowdsourcing". Journal of Artificial Intelligence Research 73 (12 de enero de 2022): 209–29. http://dx.doi.org/10.1613/jair.1.13304.
Texto completoOttinger, Gwen. "Crowdsourcing Undone Science". Engaging Science, Technology, and Society 3 (28 de septiembre de 2017): 560. http://dx.doi.org/10.17351/ests2017.124.
Texto completoCeschia, Sara, Kevin Roitero, Gianluca Demartini, Stefano Mizzaro, Luca Di Gaspero y Andrea Schaerf. "Task design in complex crowdsourcing experiments: Item assignment optimization". Computers & Operations Research 148 (diciembre de 2022): 105995. http://dx.doi.org/10.1016/j.cor.2022.105995.
Texto completoSasaki, Kyoshiro y Yuki Yamada. "Crowdsourcing visual perception experiments: a case of contrast threshold". PeerJ 7 (20 de diciembre de 2019): e8339. http://dx.doi.org/10.7717/peerj.8339.
Texto completoBarsnes, Harald y Lennart Martens. "Crowdsourcing in proteomics: public resources lead to better experiments". Amino Acids 44, n.º 4 (2 de febrero de 2013): 1129–37. http://dx.doi.org/10.1007/s00726-012-1455-z.
Texto completoMajima, Yoshimasa. "The Feasibility of a Japanese Crowdsourcing Service for Experimental Research in Psychology". SAGE Open 7, n.º 1 (enero de 2017): 215824401769873. http://dx.doi.org/10.1177/2158244017698731.
Texto completoQarout, Rehab, Alessandro Checco, Gianluca Demartini y Kalina Bontcheva. "Platform-Related Factors in Repeatability and Reproducibility of Crowdsourcing Tasks". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 (28 de octubre de 2019): 135–43. http://dx.doi.org/10.1609/hcomp.v7i1.5264.
Texto completoWang, Shengxiang, Xiaofan Jia y Qianqian Sang. "A Dual Privacy Preserving Algorithm in Spatial Crowdsourcing". Mobile Information Systems 2020 (27 de junio de 2020): 1–6. http://dx.doi.org/10.1155/2020/1960368.
Texto completoRothwell, Spencer, Steele Carter, Ahmad Elshenawy y Daniela Braga. "Job Complexity and User Attention in Crowdsourcing Microtasks". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 (28 de marzo de 2016): 20–25. http://dx.doi.org/10.1609/hcomp.v3i1.13265.
Texto completoShimizu, Nobuyuki, Atsuyuki Morishima y Ryota Hayashi. "A Crowdsourcing Method for Obtaining Rephrased Questions". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 (23 de septiembre de 2015): 32–33. http://dx.doi.org/10.1609/hcomp.v3i1.13251.
Texto completoZhao, Bingxu, Yingjie Wang, Yingshu Li, Yang Gao y Xiangrong Tong. "Task Allocation Model Based on Worker Friend Relationship for Mobile Crowdsourcing". Sensors 19, n.º 4 (22 de febrero de 2019): 921. http://dx.doi.org/10.3390/s19040921.
Texto completoAk, Ali, Abhishek Goswami, Patrick Le Callet y Frédéric Dufaux. "A Comprehensive Analysis of Crowdsourcing for Subjective Evaluation of Tone Mapping Operators". Electronic Imaging 2021, n.º 9 (18 de enero de 2021): 262–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-262.
Texto completoLiao, Zhifang, Zhi Zeng, Yan Zhang y Xiaoping Fan. "A Data-Driven Game Theoretic Strategy for Developers in Software Crowdsourcing: A Case Study". Applied Sciences 9, n.º 4 (19 de febrero de 2019): 721. http://dx.doi.org/10.3390/app9040721.
Texto completoKrivosheev, Evgeny, Fabio Casati, Valentina Caforio y Boualem Benatallah. "Crowdsourcing Paper Screening in Systematic Literature Reviews". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 (21 de septiembre de 2017): 108–17. http://dx.doi.org/10.1609/hcomp.v5i1.13302.
Texto completoWang, Le, Zhihong Tian, Zhaoquan Gu y Hui Lu. "Crowdsourcing Approach for Developing Hands-On Experiments in Cybersecurity Education". IEEE Access 7 (2019): 169066–72. http://dx.doi.org/10.1109/access.2019.2952585.
Texto completoGao, Liping, Kun Dai y Chao Lu. "Research on Optimized Online Allocation of Scope Spatial Crowdsourcing Tasks". International Journal of Cooperative Information Systems 29, n.º 03 (17 de agosto de 2020): 2050003. http://dx.doi.org/10.1142/s0218843020500033.
Texto completoPan, Qingxian, Hongbin Dong, Yingjie Wang, Zhipeng Cai y Lizong Zhang. "Recommendation of Crowdsourcing Tasks Based on Word2vec Semantic Tags". Wireless Communications and Mobile Computing 2019 (24 de marzo de 2019): 1–10. http://dx.doi.org/10.1155/2019/2121850.
Texto completoWu, Qinyue, Duankang Fu, Beijun Shen y Yuting Chen. "Semantic Service Search in IT Crowdsourcing Platform: A Knowledge Graph-Based Approach". International Journal of Software Engineering and Knowledge Engineering 30, n.º 06 (junio de 2020): 765–83. http://dx.doi.org/10.1142/s0218194020400069.
Texto completoZhou, Haofeng, Denys Baskov y Matthew Lease. "Crowdsourcing Transcription Beyond Mechanical Turk". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (3 de noviembre de 2013): 9–16. http://dx.doi.org/10.1609/hcomp.v1i1.13093.
Texto completoSong, Yi, Bin Hu y Heqiang Xue. "Evolution of employee opinion in a crowdsourcing logistics company: a catastrophe-embedded RA model". SIMULATION 98, n.º 4 (11 de diciembre de 2021): 347–60. http://dx.doi.org/10.1177/00375497211061269.
Texto completoHao, Hanyun, Jian Yang y Jie Wang. "A Tripartite Evolutionary Game Analysis of Participant Decision-Making Behavior in Mobile Crowdsourcing". Mathematics 11, n.º 5 (6 de marzo de 2023): 1269. http://dx.doi.org/10.3390/math11051269.
Texto completoBragg, Jonathan, Andrey Kolobov, Mausam Mausam y Daniel Weld. "Parallel Task Routing for Crowdsourcing". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 2 (5 de septiembre de 2014): 11–21. http://dx.doi.org/10.1609/hcomp.v2i1.13170.
Texto completoKodjiku, Seth Larweh, Yili Fang, Tao Han, Kwame Omono Asamoah, Esther Stacy E. B. Aggrey, Collins Sey, Evans Aidoo, Victor Nonso Ejianya y Xun Wang. "ExCrowd: A Blockchain Framework for Exploration-Based Crowdsourcing". Applied Sciences 12, n.º 13 (2 de julio de 2022): 6732. http://dx.doi.org/10.3390/app12136732.
Texto completoQiu, Guoying, Yulong Shen, Ke Cheng, Lingtong Liu y Shuiguang Zeng. "Mobility-Aware Privacy-Preserving Mobile Crowdsourcing". Sensors 21, n.º 7 (2 de abril de 2021): 2474. http://dx.doi.org/10.3390/s21072474.
Texto completoWang, Zhenya, Xiang Cheng, Sen Su y Longhan Wang. "Achieving Private and Fair Truth Discovery in Crowdsourcing Systems". Security and Communication Networks 2022 (30 de marzo de 2022): 1–15. http://dx.doi.org/10.1155/2022/9281729.
Texto completoSun, Yuyin, Adish Singla, Tori Yan, Andreas Krause y Dieter Fox. "Evaluating Task-Dependent Taxonomies for Navigation". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (21 de septiembre de 2016): 229–38. http://dx.doi.org/10.1609/hcomp.v4i1.13286.
Texto completoXu, Sunyue y Jing Zhang. "Crowdsourcing with Meta-Knowledge Transfer (Student Abstract)". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 11 (28 de junio de 2022): 13095–96. http://dx.doi.org/10.1609/aaai.v36i11.21684.
Texto completoPatterson, Genevieve, Grant Van Horn, Serge Belongie, Pietro Perona y James Hays. "Tropel: Crowdsourcing Detectors with Minimal Training". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 3 (23 de septiembre de 2015): 150–59. http://dx.doi.org/10.1609/hcomp.v3i1.13224.
Texto completoLi, Ziyuan, Jian Liu, Jialu Hao, Huimei Wang y Ming Xian. "CrowdSFL: A Secure Crowd Computing Framework Based on Blockchain and Federated Learning". Electronics 9, n.º 5 (8 de mayo de 2020): 773. http://dx.doi.org/10.3390/electronics9050773.
Texto completoGuo, Shikai, Rong Chen, Hui Li, Jian Gao y Yaqing Liu. "Crowdsourced Web Application Testing Under Real-Time Constraints". International Journal of Software Engineering and Knowledge Engineering 28, n.º 06 (junio de 2018): 751–79. http://dx.doi.org/10.1142/s0218194018500213.
Texto completoSalve, Tanay, Akash Agrahari, Tarun Sharma, Adnan Haque y Shudhodhan Bokefode. "Crowdsourcing Platform for Website and Application Testing". YMER Digital 21, n.º 04 (7 de abril de 2022): 104–14. http://dx.doi.org/10.37896/ymer21.04/11.
Texto completoGOTO, Akira. "A Study on economic game experiments with crowdsourcing: Focusing on communication structure". Joho Chishiki Gakkaishi 27, n.º 2 (2017): 127–32. http://dx.doi.org/10.2964/jsik_2017_014.
Texto completoLee, Tak Yeon, Casey Dugan, Werner Geyer, Tristan Ratchford, Jamie Rasmussen, N. Sadat Shami y Stela Lupushor. "Experiments on Motivational Feedback for Crowdsourced Workers". Proceedings of the International AAAI Conference on Web and Social Media 7, n.º 1 (3 de agosto de 2021): 341–50. http://dx.doi.org/10.1609/icwsm.v7i1.14428.
Texto completoHotaling, Abigail y James P. Bagrow. "Efficient crowdsourcing of crowd-generated microtasks". PLOS ONE 15, n.º 12 (17 de diciembre de 2020): e0244245. http://dx.doi.org/10.1371/journal.pone.0244245.
Texto completoZhao, Bei, Siwen Zheng y Jianhui Zhang. "Optimal policy for composite sensing with crowdsourcing". International Journal of Distributed Sensor Networks 16, n.º 5 (mayo de 2020): 155014772092733. http://dx.doi.org/10.1177/1550147720927331.
Texto completoLi, Chunhua, Pengpeng Zhao, Victor S. Sheng, Xuefeng Xian, Jian Wu y Zhiming Cui. "Refining Automatically Extracted Knowledge Bases Using Crowdsourcing". Computational Intelligence and Neuroscience 2017 (2017): 1–17. http://dx.doi.org/10.1155/2017/4092135.
Texto completoMaddalena, Eddy, Marco Basaldella, Dario De Nart, Dante Degl'Innocenti, Stefano Mizzaro y Gianluca Demartini. "Crowdsourcing Relevance Assessments: The Unexpected Benefits of Limiting the Time to Judge". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (21 de septiembre de 2016): 129–38. http://dx.doi.org/10.1609/hcomp.v4i1.13284.
Texto completoJi, Yinglei, Chunxiao Mu, Xiuqin Qiu y Yibao Chen. "A Task Recommendation Model in Mobile Crowdsourcing". Wireless Communications and Mobile Computing 2022 (14 de julio de 2022): 1–12. http://dx.doi.org/10.1155/2022/9191605.
Texto completoMatsubara, Masaki, Ria Mae Borromeo, Sihem Amer-Yahia y Atsuyuki Morishima. "Task Assignment Strategies for Crowd Worker Ability Improvement". Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (13 de octubre de 2021): 1–20. http://dx.doi.org/10.1145/3479519.
Texto completoPei, Weiping, Zhiju Yang, Monchu Chen y Chuan Yue. "Quality Control in Crowdsourcing based on Fine-Grained Behavioral Features". Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (13 de octubre de 2021): 1–28. http://dx.doi.org/10.1145/3479586.
Texto completoKohler, Rachel, John Purviance y Kurt Luther. "Supporting Image Geolocation with Diagramming and Crowdsourcing". Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 (21 de septiembre de 2017): 98–107. http://dx.doi.org/10.1609/hcomp.v5i1.13296.
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