Majid Karimi - researchr alias

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Viewing Publication 1 - 10 from 10

2024

To Subsidize Or Not to Subsidize: A Comparison of Market Scoring Rules and Continuous Double Auctions for Price DiscoveryMajid Karimi, Stanko Dimitrov. isf, 26(2):801-823, April 2024. [doi]

2023

Selecting the Optimal Number of Crowd Workers for Forecasting TasksArthur Carvalho, Majid Karimi. amcis 2023: [doi]

2022

Probabilistic Set Covering Location Problem in Congested NetworksRobert Aboolian, Oded Berman, Majid Karimi. transci, 56(2):528-542, 2022. [doi]

Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction marketsMajid Karimi, Nima Zaerpour. eor, 300(3):1035-1049, 2022. [doi]

2021

Aligning the interests of newsvendors and forecasters through blockchain-based smart contracts and proper scoring rulesArthur Carvalho, Majid Karimi. dss, 151:113626, 2021. [doi]

2020

How Blockchain Can Bring Trust and Transparency to the Payment of Crowd ForecastersArthur Carvalho, Majid Karimi. icis 2020: [doi]

2018

On the Road to Making Science of "Art": Risk Bias in Market Scoring RulesMajid Karimi, Stanko Dimitrov. da, 15(2):72-89, 2018. [doi]

2005

The self-trapping attractor neural network-part II: properties of a sparsely connected model storing multiple memoriesRaymond Pavloski, Majid Karimi. tnn, 16(6):1427-1439, 2005. [doi]

2003

The self-trapping attractor neural network. I. Analysis of a simple 1-D modelRaymond Pavloski, Majid Karimi. tnn, 14(1):58-65, 2003. [doi]

1999

Self-trapping in an attractor neural network with nearest neighbor synapses mimics full connectivityRaymond Pavloski, Majid Karimi. ijcnn 1999: 699-704 [doi]

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