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ORCIDAndreea Anghel
- > Home > Persons > Andreea Anghel
Publications
- 2023
[c22]Malgorzata Lazuka, Andreea Anghel, Parikshit Ram, Haralampos Pozidis, Thomas P. Parnell:
xCloudServing: Automated ML Serving Across Clouds. CLOUD 2023: 1-12- [c21]Nikolaos Papandreou, Jan van Lunteren, Andreea Anghel, Thomas P. Parnell, Martin Petermann, Milos Stanisavljevic, Cédric Lichtenau, Andrew Sica, Dominic Röhm, Elpida Tzortzatos, Haralampos Pozidis:
Acceleration of Decision-Tree Ensemble Models on the IBM Telum Processor. ISCAS 2023: 1-5 - 2022
- [c19]Malgorzata Lazuka
, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Search-based Methods for Multi-Cloud Configuration. CLOUD 2022: 438-448 - [i6]Malgorzata Lazuka, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Search-based Methods for Multi-Cloud Configuration. CoRR abs/2204.09437 (2022) - 2020
- [c18]Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis:
SnapBoost: A Heterogeneous Boosting Machine. NeurIPS 2020 - [i5]Thomas P. Parnell, Andreea Anghel, Malgorzata Lazuka, Nikolas Ioannou, Sebastian Kurella, Peshal Agarwal, Nikolaos Papandreou, Haralampos Pozidis:
MixBoost: A Heterogeneous Boosting Machine. CoRR abs/2006.09745 (2020) - 2019
- [i4]Alessandro De Palma, Celestine Mendler-Dünner, Thomas P. Parnell, Andreea Anghel, Haralampos Pozidis:
Sampling Acquisition Functions for Batch Bayesian Optimization. CoRR abs/1903.09434 (2019) - [i3]Andreea Anghel, Nikolas Ioannou, Thomas P. Parnell, Nikolaos Papandreou, Celestine Mendler-Dünner, Haris Pozidis:
Breadth-first, Depth-next Training of Random Forests. CoRR abs/1910.06853 (2019) - 2018
- [c15]Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Gummadi Ravi, Madhusudanan Kandasamy, Haralampos Pozidis:
Snap ML: A Hierarchical Framework for Machine Learning. NeurIPS 2018: 250-260 - [i2]Celestine Dünner, Thomas P. Parnell, Dimitrios Sarigiannis, Nikolas Ioannou, Andreea Anghel, Haralampos Pozidis:
Snap ML: A Hierarchical Framework for Machine Learning. CoRR abs/1803.06333 (2018) - [i1]Andreea Anghel, Nikolaos Papandreou, Thomas P. Parnell, Alessandro De Palma, Haralampos Pozidis:
Benchmarking and Optimization of Gradient Boosted Decision Tree Algorithms. CoRR abs/1809.04559 (2018)
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