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