| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2022 | J | jnl |
Neurocomputing
|
| 2022 | J | jnl |
Int. J. Approx. Reason.
|
| 2022 | J | jnl |
Knowl. Based Syst.
|
| 2021 | J | jnl |
Int. J. Fuzzy Syst.
|
| 2020 | J | jnl |
Expert Syst. Appl.
|
| 2020 | — | conf |
IPMU (2)
|
| 2020 | J | jnl |
Appl. Soft Comput.
|
| 2020 | J | jnl |
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
|
| 2019 | J | jnl |
Soft Comput.
|
| 2019 | J | jnl |
Entropy
|
| 2019 | J | jnl |
Prog. Artif. Intell.
|
| 2018 | J | jnl |
Expert Syst. Appl.
|
| 2018 | — | conf |
IPMU (3)
|
| 2018 | J | jnl |
Expert Syst. Appl.
|
| 2018 | J | jnl |
J. Intell. Fuzzy Syst.
|
| 2017 | J | jnl |
Complex.
|
| 2017 | J | jnl |
Knowl. Based Syst.
|
| 2017 | J | jnl |
Expert Syst. Appl.
|
| 2017 | J | jnl |
Int. J. Gen. Syst.
|
| 2017 | J | jnl |
Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy.
Entropy
|
| 2016 | J | jnl |
Expert Syst. Appl.
|
| 2014 | — | conf |
RSCTC
|
| 2011 | C | conf |
ISDA
|