| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2025 | B | conf |
IJCB
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Comput. Biol. Medicine
|
| 2024 | — | conf |
EMBC
|
| 2024 | — | conf |
EMBC
|
| 2023 | — | conf |
EMBC
|
| 2023 | B | conf |
SAS
|
| 2023 | B | conf |
SAS
|
| 2023 | J | jnl |
IEEE Access
|
| 2023 | B | conf |
SAS
|
| 2023 | J | jnl |
IEEE Access
|
| 2022 | J | jnl |
IEEE Access
|
| 2022 | J | jnl |
IEEE Trans. Ind. Informatics
|
| 2022 | B | conf |
IJCB
|
| 2021 | J | jnl |
Expert Syst. Appl.
|
| 2021 | — | conf |
EMBC
|
| 2021 | — | conf |
EMBC
|
| 2021 | — | conf |
EMBC
|
| 2020 | J | jnl |
CoRR
|
| 2020 | — | conf |
EMBC
|
| 2020 | J | jnl |
Sensors
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
IEEE Trans. Artif. Intell.
|
| 2020 | J | jnl |
IEEE Access
|
| 2020 | — | conf |
EMBC
|
| 2019 | — | conf |
NER
|
| 2019 | J | jnl |
Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features.
CoRR
|
| 2019 | — | conf |
GlobalSIP
|
| 2019 | J | jnl |
NeuroImage
|
| 2019 | J | jnl |
CoRR
|
| 2019 | J | jnl |
CoRR
|
| 2018 | B | conf |
SAS
|
| 2018 | — | conf |
EMBC
|
| 2018 | J | jnl |
Big Data Cogn. Comput.
|
| 2018 | J | jnl |
Sensors
|
| 2017 | J | jnl |
IEEE Trans. Big Data
|
| 2016 | J | jnl |
IEEE Trans. Instrum. Meas.
|
| 2014 | J | jnl |
Comput. Methods Programs Biomed.
|
| 2013 | J | jnl |
Eng. Appl. Artif. Intell.
|
| 2013 | J | jnl |
Expert Syst. Appl.
|
| 2012 | J | jnl |
Expert Syst. Appl.
|
| 2012 | J | jnl |
Expert Syst. Appl.
|
| 2011 | — | conf |
ICSECS (2)
|
| 2011 | — | conf |
ICSECS (2)
|
| 2009 | J | jnl |
CoRR
|