| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
Inf. Syst.
|
| 2024 | B | conf |
SISAP
|
| 2023 | B | conf |
SISAP
|
| 2023 | J | jnl |
CoRR
|
| 2022 | J | jnl |
Inf. Syst.
|
| 2022 | — | ch. |
Mach. Learn. under Resour. Constraints Vol. 1 (1)
|
| 2021 | B | conf |
SISAP
|
| 2021 | J | jnl |
CoRR
|
| 2020 | B | conf |
SISAP
|
| 2020 | J | jnl |
CoRR
|
| 2019 | C | conf |
Can Flexible Multi-Core Scheduling Help to Execute Machine Learning Algorithms Resource-Efficiently?
SCOPES
|
| 2017 | — | conf |
LION
|