| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Knowl. Inf. Syst.
|
| 2025 | J | jnl |
Knowl. Inf. Syst.
|
| 2025 | J | jnl |
IEEE Trans. Artif. Intell.
|
| 2025 | J | jnl |
Multim. Syst.
|
| 2025 | J | jnl |
Expert Syst. Appl.
|
| 2024 | J | jnl |
Neurocomputing
|
| 2024 | J | jnl |
Neural Networks
|
| 2023 | J | jnl |
Expert Syst. Appl.
|
| 2023 | J | jnl |
Multim. Tools Appl.
|
| 2023 | J | jnl |
Probabilistic Wind Power Forecasting Using Optimized Deep Auto-Regressive Recurrent Neural Networks.
IEEE Trans. Ind. Informatics
|
| 2023 | J | jnl |
Knowl. Based Syst.
|
| 2022 | — | conf |
KDIR
|
| 2022 | J | jnl |
Neurocomputing
|
| 2022 | J | jnl |
Expert Syst. Appl.
|
| 2022 | J | jnl |
Expert Syst. Appl.
|
| 2022 | J | jnl |
Expert Syst. J. Knowl. Eng.
|
| 2022 | J | jnl |
IEEE Trans. Syst. Man Cybern. Syst.
|
| 2022 | J | jnl |
Int. J. Comput. Intell. Syst.
|
| 2022 | J | jnl |
Expert Syst. Appl.
|
| 2021 | C | conf |
IAS
|
| 2021 | J | jnl |
A Novel Evolutionary-Based Deep Convolutional Neural Network Model for Intelligent Load Forecasting.
IEEE Trans. Ind. Informatics
|
| 2021 | J | jnl |
A hybrid recommendation system based on profile expansion technique to alleviate cold start problem.
Multim. Tools Appl.
|
| 2021 | J | jnl |
Comput. Biol. Medicine
|
| 2021 | J | jnl |
Appl. Soft Comput.
|
| 2021 | B | conf |
SMC
|
| 2021 | B | conf |
SMC
|
| 2020 | J | jnl |
Knowl. Based Syst.
|
| 2020 | — | conf |
ICONIP (5)
|
| 2020 | J | jnl |
Cogn. Syst. Res.
|
| 2019 | J | jnl |
Multim. Tools Appl.
|
| 2019 | J | jnl |
J. Inf. Sci.
|
| 2019 | — | conf |
ICONIP (1)
|
| 2019 | — | conf |
AIRS
|
| 2019 | J | jnl |
CoRR
|
| 2018 | B | conf |
ASONAM
|
| 2018 | J | jnl |
Inf. Process. Manag.
|
| 2018 | J | jnl |
IEEE Access
|
| 2018 | J | jnl |
Appl. Intell.
|
| 2018 | J | jnl |
Future Gener. Comput. Syst.
|
| 2015 | J | jnl |
Expert Syst. Appl.
|