Name
Title | ||
|---|---|---|
Bayesian network modeling of the consensus between experts: An application to neuron classification. |
Abstract | ||
|---|---|---|
•A consensus Bayesian network is built modeling a set of expert opinions.•An algorithm for clustering similar Bayesian networks is proposed.•A representative Bayesian network is learned for each group of experts.•Different approaches to interneuron classification are identified and studied.•Agreed definitions for some neuronal types are inferred from the model. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.ijar.2013.03.011 | International Journal of Approximate Reasoning |
Keywords | Field | DocType |
Bayesian networks,Bayesian multinets,Expert consensus,Neuron classification | Inference,Computer science,Bayesian network,Artificial intelligence,MultiNet,Cluster analysis,Machine learning,Bayesian probability,Consensus model | Journal |
Volume | Issue | ISSN |
55 | 1 | 0888-613X |
Citations | PageRank | References |
14 | 0.80 | 38 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro L. López-Cruz | 1 | 33 | 3.88 |
| Pedro Larrañaga | 2 | 3882 | 208.54 |
| Javier De Felipe | 3 | 76 | 8.74 |
| Concha Bielza | 4 | 909 | 72.11 |