General temporally biased sampling schemes for online model management
- Brian Hentschel
- Peter J. Haas
- et al.
- 2019
- ACM TODS
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92 results for Peter J. Haas
MNC: Structure-exploiting sparsity estimation for matrix expressions
- Johanna Sommer
- Matthias Boehm
- et al.
- 2019
- SIGMOD 2019
Online model management via temporally biased sampling
- Brian Hentschel
- Peter J. Haas
- et al.
- 2019
- SIGMOD Record
Compressed linear algebra for declarative large-scale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2019
- CACM
Literature-based automated discovery of tumor suppressor p53 phosphorylation and inhibition by NEK2
- Byung-Kwon Choi
- Tajhal Dayaram
- et al.
- 2018
- PNAS
Temporally-biased sampling for online model management
- Brian Hentschel
- Peter J. Haas
- et al.
- 2018
- EDBT 2018
Compressed linear algebra for large-scale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2017
- VLDB Journal
Foresight: Recommending visual insights
- Cagatay Demiralp
- Peter J. Haas
- et al.
- 2017
- VLDB 2017
Scaling machine learning via compressed linear algebra
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2017
- SIGMOD Record
Sampling for scalable visual analytics
- Bum Chul Kwon
- Janu Verma
- et al.
- 2017
- IEE CG&A