| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
CoRR
|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2023 | J | jnl |
BMC Bioinform.
|
| 2022 | A* | conf |
OSDI
|
| 2021 | J | jnl |
A deep learning system that generates quantitative CT reports for diagnosing pulmonary Tuberculosis.
Appl. Intell.
|
| 2021 | — | conf |
ESEC/SIGSOFT FSE
|
| 2020 | J | jnl |
Stat. Anal. Data Min.
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | A* | conf |
SIGIR
|
| 2020 | — | conf |
ISCRAM
|
| 2020 | A* | conf |
OSDI
|
| 2020 | J | jnl |
Comput. Electron. Agric.
|
| 2019 | J | jnl |
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis.
CoRR
|
| 2019 | — | conf |
IoTDI
|
| 2019 | — | conf |
ISCRAM
|
| 2019 | J | jnl |
Soc. Netw. Anal. Min.
|
| 2018 | B | conf |
ASONAM
|
| 2018 | J | jnl |
CoRR
|
| 2016 | — | conf |
IJCRS
|