Majid Karimi

According to our database, Majid Karimi authored at least 11 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

To Subsidize Or Not to Subsidize: A Comparison of Market Scoring Rules and Continuous Double Auctions for Price Discovery.

Majid Karimi, Stanko Dimitrov

Inf. Syst. Frontiers, April, 2024

2023

Selecting the Optimal Number of Crowd Workers for Forecasting Tasks.

Arthur Carvalho, Majid Karimi

Proceedings of the 29th Americas Conference on Information Systems, 2023

2022

Probabilistic Set Covering Location Problem in Congested Networks.

Robert Aboolian, Oded Berman, Majid Karimi

Transp. Sci., 2022

<i>Put your money where your forecast is</i>: Supply chain collaborative forecasting with cost-function-based prediction markets.

Majid Karimi, Nima Zaerpour

Eur. J. Oper. Res., 2022

2021

Aligning the interests of newsvendors and forecasters through blockchain-based smart contracts and proper scoring rules.

Arthur Carvalho, Majid Karimi

Decis. Support Syst., 2021

2020

How Blockchain Can Bring Trust and Transparency to the Payment of Crowd Forecasters.

Arthur Carvalho, Majid Karimi

Proceedings of the 41st International Conference on Information Systems, 2020

2018

On the Road to Making Science of "Art": Risk Bias in Market Scoring Rules.

Majid Karimi, Stanko Dimitrov

Decis. Anal., 2018

2012

Square-Root Finding Problem In Graphs, A Complete Dichotomy Theorem

Babak Farzad, Majid Karimi

CoRR, 2012

2005

The self-trapping attractor neural network-part II: properties of a sparsely connected model storing multiple memories.

Raymond Pavloski, Majid Karimi

IEEE Trans. Neural Networks, 2005

2003

The self-trapping attractor neural network. I. Analysis of a simple 1-D model.

Raymond Pavloski, Majid Karimi

IEEE Trans. Neural Networks, 2003

1999

Self-trapping in an attractor neural network with nearest neighbor synapses mimics full connectivity.

Raymond Pavloski, Majid Karimi

Proceedings of the International Joint Conference Neural Networks, 1999