| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
Eng. Appl. Artif. Intell.
|
| 2026 | J | jnl |
Neurocomputing
|
| 2026 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Knowl. Based Syst.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
ACM Trans. Web
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Appl. Soft Comput.
|
| 2025 | J | jnl |
J. Supercomput.
|
| 2025 | J | jnl |
Knowl. Based Syst.
|
| 2025 | J | jnl |
Appl. Soft Comput.
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
CoRR
|
| 2025 | J | jnl |
Speech Commun.
|
| 2024 | J | jnl |
ACM Comput. Surv.
|
| 2024 | J | jnl |
J. Supercomput.
|
| 2024 | J | jnl |
Artif. Intell. Rev.
|
| 2024 | J | jnl |
CoRR
|
| 2024 | A* | conf |
CVPR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
CoRR
|
| 2024 | J | jnl |
Cogn. Syst. Res.
|
| 2023 | J | jnl |
J. Ambient Intell. Humaniz. Comput.
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
J. Supercomput.
|
| 2023 | J | jnl |
CoRR
|
| 2023 | B | conf |
IEEE Big Data
|
| 2023 | J | jnl |
J. Supercomput.
|
| 2022 | B | conf |
IEEE Big Data
|
| 2022 | J | jnl |
Nat. Mach. Intell.
|
| 2022 | B | conf |
IEEE Big Data
|
| 2022 | J | jnl |
Comput. Appl. Math.
|
| 2022 | J | jnl |
CoRR
|
| 2021 | J | jnl |
WIREs Data Mining Knowl. Discov.
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
Fundam. Informaticae
|
| 2021 | — | conf |
IEEE BigData
|
| 2021 | J | jnl |
Appl. Math. Comput.
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
Mach. Learn.
|
| 2020 | J | jnl |
Future Gener. Comput. Syst.
|
| 2020 | A | conf |
CIKM
|
| 2019 | A | conf |
CIKM
|
| 2019 | B | conf |
EDBT
|
| 2019 | J | jnl |
CoRR
|
| 2019 | J | jnl |
CoRR
|
| 2018 | — | conf |
IEEE BigData
|
| 2018 | J | jnl |
Comput. J.
|
| 2018 | — | conf |
IEEE BigData
|
| 2018 | A | conf |
ECIR
|
| 2018 | — | conf |
PAKDD (3)
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
Inf. Process. Lett.
|
| 2016 | B | conf |
A Framework for Description and Analysis of Sampling-Based Approximate Triangle Counting Algorithms.
DSAA
|
| 2016 | — | — |
|
| 2016 | J | jnl |
Data Min. Knowl. Discov.
|
| 2016 | A | conf |
UAI
|
| 2016 | — | conf |
ECML/PKDD (1)
|
| 2014 | J | jnl |
Comput. J.
|
| 2014 | A | conf |
WSDM
|
| 2014 | — | ch. |
Mining User Generated Content
|
| 2014 | J | jnl |
CoRR
|
| 2014 | J | jnl |
CoRR
|
| 2013 | A | conf |
CIKM
|
| 2013 | J | jnl |
CoRR
|
| 2012 | J | jnl |
Comput. Intell.
|
| 2011 | A* | conf |
ICDM
|
| 2011 | J | jnl |
IEEE Trans. Syst. Man Cybern. Part A
|
| 2009 | J | jnl |
Decis. Support Syst.
|
| 2009 | J | jnl |
Intell. Data Anal.
|
| 2008 | J | jnl |
Data Knowl. Eng.
|
| 2007 | J | jnl |
Intell. Data Anal.
|
| 2007 | — | conf |
RR
|
| 2007 | C | conf |
CIDM
|
| 2007 | C | conf |
CIDM
|