Academic literature on the topic 'Fairness modeling'
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Journal articles on the topic "Fairness modeling"
Liu, Guangdong, Jingxiu Song, Jinggui Chen, Ziyang Li, and Huagui Zhu. "Ordering Decisions of Supply Chain with Competition and Dual-Fairness Concern." Discrete Dynamics in Nature and Society 2022 (August 19, 2022): 1–14. http://dx.doi.org/10.1155/2022/9811993.
Full textDiekmann, Sven, and Sjoerd D. Zwart. "Modeling for fairness: A Rawlsian approach." Studies in History and Philosophy of Science Part A 46 (June 2014): 46–53. http://dx.doi.org/10.1016/j.shpsa.2013.11.001.
Full textBandyopadhyay, Anup Kumar. "Modeling fairness and starvation in concurrent systems." ACM SIGSOFT Software Engineering Notes 32, no. 6 (November 2007): 2. http://dx.doi.org/10.1145/1317471.1317474.
Full textWei, Guangxing, Xu Zhang, Xinghong Qin, and Binta Bary. "Operational Strategy for Low-Carbon Supply Chain under Asymmetric Information of Fairness Concerns." Discrete Dynamics in Nature and Society 2022 (February 10, 2022): 1–22. http://dx.doi.org/10.1155/2022/7655745.
Full textHuo, Hong, Dan Luo, Zhanghua Yan, and Hao He. "Pricing Decisions in Dual-Channel Supply Chain considering Different Fairness Preferences and Low-Carbon Advertising Level." Discrete Dynamics in Nature and Society 2022 (September 20, 2022): 1–13. http://dx.doi.org/10.1155/2022/4589681.
Full textJiang, Wen, Linqing Pu, Ting Huang, Li Yuan, and Lu Gan. "The Effect of Fairness Concern on Carbon Emission Reduction and Revenue Distribution in Construction Supply Chain: Power Structure Perspective." Discrete Dynamics in Nature and Society 2021 (November 26, 2021): 1–20. http://dx.doi.org/10.1155/2021/8118220.
Full textZhang, Chengwei, Xiaohong Li, Jing Hu, Zhiyong Feng, and Jiaojiao Song. "Formal Modeling and Analysis of Fairness Characterization of E-Commerce Protocols." Journal of Applied Mathematics 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/138370.
Full textVan Craen, Maarten, and Wesley G. Skogan. "Achieving Fairness in Policing." Police Quarterly 20, no. 1 (July 31, 2016): 3–23. http://dx.doi.org/10.1177/1098611116657818.
Full textTing, Chiu-Yao, and Tai-Kuei Yu. "Modeling patient perceptions of service recovery: The effects of perceived fairness on health center repatronage." Social Behavior and Personality: an international journal 38, no. 3 (April 1, 2010): 395–403. http://dx.doi.org/10.2224/sbp.2010.38.3.395.
Full textSohaib, Muhammad, Peng Hui, Umair Akram, Abdul Majeed, Zubair Akram, and Muhammad Bilal. "Understanding the Justice Fairness Effects on eWOM Communication in Social Media Environment." International Journal of Enterprise Information Systems 15, no. 1 (January 2019): 69–84. http://dx.doi.org/10.4018/ijeis.2019010104.
Full textDissertations / Theses on the topic "Fairness modeling"
Hoblos, Jalaa. "Access Disparity Modeling and Fairness Provisioning in Multi-Hop Wireless Networks." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1365703079.
Full textLi, Yunzhao. "Modeling, simulations, and experiments to balance performance and fairness in P2P file-sharing systems." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/15319.
Full textDepartment of Electrical and Computer Engineering
Don Gruenbacher
Caterina Scoglio
In this dissertation, we investigate research gaps still existing in P2P file-sharing systems: the necessity of fairness maintenance during the content information publishing/retrieving process, and the stranger policies on P2P fairness. First, through a wide range of measurements in the KAD network, we present the impact of a poorly designed incentive fairness policy on the performance of looking up content information. The KAD network, designed to help peers publish and retrieve sharing information, adopts a distributed hash table (DHT) technology and combines itself into the aMule/eMule P2P file-sharing network. We develop a distributed measurement framework that employs multiple test nodes running on the PlanetLab testbed. During the measurements, the routing tables of around 20,000 peers are crawled and analyzed. More than 3,000,000 pieces of source location information from the publishing tables of multiple peers are retrieved and contacted. Based on these measurements, we show that the routing table is well maintained, while the maintenance policy for the source-location-information publishing table is not well designed. Both the current maintenance schedule for the publishing table and the poor incentive policy on publishing peers eventually result in the low availability of the publishing table, which accordingly cause low lookup performance of the KAD network. Moreover, we propose three possible solutions to address these issues: the self-maintenance scheme with short period renewal interval, the chunk-based publishing/retrieving scheme, and the fairness scheme. Second, using both numerical analyses and agent-based simulations, we evaluate the impact of different stranger policies on system performance and fairness. We explore that the extremely restricting stranger policy brings the best fairness at a cost of performance degradation. The varying tendency of performance and fairness under different stranger policies are not consistent. A trade-off exists between controlling free-riding and maintaining system performance. Thus, P2P designers are required to tackle strangers carefully according to their individual design goals. We also show that BitTorrent prefers to maintain fairness with an extremely restricting stranger policy, while aMule/eMule’s fully rewarding stranger policy promotes free-riders’ benefit.
Akter, Lutfa. "Modeling, forecasting and resource allocation in cognitive radio networks." Diss., Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/3892.
Full textCarman, Benjamin Andrew. "Repairing Redistricting: Using an Integer Linear Programming Model to Optimize Fairness in Congressional Districts." Ohio University Honors Tutorial College / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1619177994406176.
Full textJdidi, Anis. "On the use of hierarchical modulation for resource allocation in OFDMA-based networks." Phd thesis, Institut National des Télécommunications, 2011. http://tel.archives-ouvertes.fr/tel-00698488.
Full textVergara, Alonso Ekhiotz Jon. "Energy Modelling and Fairness for Efficient Mobile Communication." Doctoral thesis, Linköpings universitet, Programvara och system, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-124538.
Full textZaibidi, Nerda Zura. "Modelling human fairness in cooperative games : a goal programming approach." Thesis, University of Portsmouth, 2012. https://researchportal.port.ac.uk/portal/en/theses/modelling-human-fairness-in-cooperative-games(4c3d0987-0edc-45be-9c4b-b1114df6bb3e).html.
Full textEbenhöh, Eva. "Modelling human behaviour in social dilemmas using attributes and heuristics." Doctoral thesis, 2007. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2007101719.
Full text(6586319), LIna Abdulaziz Alfantoukh. "Multi-Stakeholder Consensus Decision-Making Framework Based on Trust and Risk." Thesis, 2019.
Find full textBooks on the topic "Fairness modeling"
Louisiana State University Agricultural Center. Workplace ethics: Lessons to strengthen character by modeling trustworthiness, respect, responsibility, fairness, caring and citizenship. [S.l., : Louisiana: Louisiana State University Agricultural Center, c1997]., 1997.
Find full textBook chapters on the topic "Fairness modeling"
Lavalle, Ana, Alejandro Maté, Juan Trujillo, and Jorge García-Carrasco. "Law Modeling for Fairness Requirements Elicitation in Artificial Intelligence Systems." In Conceptual Modeling, 423–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17995-2_30.
Full textHaffar, Rami, Ashneet Khandpur Singh, Josep Domingo-Ferrer, and Najeeb Jebreel. "Measuring Fairness in Machine Learning Models via Counterfactual Examples." In Modeling Decisions for Artificial Intelligence, 119–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-13448-7_10.
Full textMocanu, Irina, Lorina Negreanu, and Adina Magda Florea. "Agents Modeling under Fairness Assumption in Event-B." In Studies in Computational Intelligence, 301–7. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01571-2_35.
Full textFoulds, James R., Rashidul Islam, Kamrun Naher Keya, and Shimei Pan. "Bayesian Modeling of Intersectional Fairness: The Variance of Bias." In Proceedings of the 2020 SIAM International Conference on Data Mining, 424–32. Philadelphia, PA: Society for Industrial and Applied Mathematics, 2020. http://dx.doi.org/10.1137/1.9781611976236.48.
Full textWegner, Laila, Yana Houben, Martina Ziefle, and André Calero Valdez. "Fairness and the Need for Regulation of AI in Medicine, Teaching, and Recruiting." In Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. AI, Product and Service, 277–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77820-0_21.
Full textChalmovianský, Pavel, and Bert Jüttler. "Fairness Criteria for Algebraic Curves." In Geometric Modelling, 41–51. Vienna: Springer Vienna, 2004. http://dx.doi.org/10.1007/978-3-7091-0587-0_4.
Full textLeith, Douglas J., and Robert Shorten. "Modelling TCP Throughput and Fairness." In Lecture Notes in Computer Science, 938–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24693-0_77.
Full textHasselquist, David, Christoffer Lindström, Nikita Korzhitskii, Niklas Carlsson, and Andrei Gurtov. "QUIC Throughput and Fairness over Dual Connectivity." In Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, 175–90. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68110-4_12.
Full textMurata, Tadao, and Manuel Silva. "Petri-Net-Based Fairness Concepts for Discrete Event Systems." In Realization and Modelling in System Theory, 549–57. Boston, MA: Birkhäuser Boston, 1990. http://dx.doi.org/10.1007/978-1-4612-3462-3_61.
Full textGürcan, Önder. "Multi-Agent Modelling of Fairness for Users and Miners in Blockchains." In Communications in Computer and Information Science, 92–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24299-2_8.
Full textConference papers on the topic "Fairness modeling"
Zameshina, M., O. Teytaud, Fabien Teytaud, Vlad Hosu, Nathanael Carraz, Laurent Najman, and Markus Wagner. "Fairness in generative modeling." In GECCO '22: Genetic and Evolutionary Computation Conference. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3520304.3528992.
Full textBonald, Thomas, and James Roberts. "Multi-Resource Fairness." In SIGMETRICS '15: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2745844.2745869.
Full textZheng, Yong, Tanaya Dave, Neha Mishra, and Harshit Kumar. "Fairness In Reciprocal Recommendations." In UMAP '18: 26th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3213586.3226207.
Full textAli, Zoraze, Biljana Bojovic, Lorenza Giupponi, and Josep Mangues Bafalluy. "On Fairness Evaluation." In MSWiM '16: 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2989250.2989255.
Full textVolk, Florian, Maria Pelevina, Sheikh Mahbub Habib, Sascha Hauke, and Max Muhlhauser. "Modeling Degrees of Fairness for Collaborations." In 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE, 2014. http://dx.doi.org/10.1109/trustcom.2014.113.
Full textVenkateswaran, Sreekrishnan, and Santonu Sarkar. "Modeling Operational Fairness of Hybrid Cloud Brokerage." In 2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID). IEEE, 2018. http://dx.doi.org/10.1109/ccgrid.2018.00083.
Full textGiannopoulos, Giorgos, George Papastefanatos, Dimitris Sacharidis, and Kostas Stefanidis. "Interactivity, Fairness and Explanations in Recommendations." In UMAP '21: 29th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3450614.3462238.
Full textElahi, Mehdi, Himan Abdollahpouri, Masoud Mansoury, and Helma Torkamaan. "Beyond Algorithmic Fairness in Recommender Systems." In UMAP '21: 29th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3450614.3461685.
Full textIm, Sungjin, Benjamin Moseley, Kamesh Munagala, and Kirk Pruhs. "Dynamic Weighted Fairness with Minimal Disruptions." In SIGMETRICS '20: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3393691.3394184.
Full textKleinberg, Jon. "Inherent Trade-Offs in Algorithmic Fairness." In SIGMETRICS '18: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3219617.3219634.
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