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ORCIDTom Vander Aa
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Publications
- 2021
[c38]Imen Chakroun, Tom Vander Aa, Roel Wuyts
, Wilfried Verachtert:
Distributing intelligence for object detection using edge computing. CLOUD 2021: 681-687- [c37]Imen Chakroun, Tom Vander Aa, Roel Wuyts, Wilfried Verarcht:
Privacy-Preserving Multi-Party Machine Learning for Object Detection. GCAIoT 2021: 7-13 - 2020
- [i6]Imen Chakroun, Tom Vander Aa, Thomas J. Ashby:
Guidelines for enhancing data locality in selected machine learning algorithms. CoRR abs/2001.03000 (2020) - 2019
- [j10]Imen Chakroun, Tom Vander Aa, Tom Ashby:
Guidelines for enhancing data locality in selected machine learning algorithms. Intell. Data Anal. 23(5): 1003-1020 (2019) - [c35]Tom Vander Aa, Imen Chakroun, Thomas J. Ashby:
SMURFF: a High-Performance Framework for Matrix Factorization. AICAS 2019: 304-308 - [c33]Tom Vander Aa, Imen Chakroun, Tom Ashby, Jaak Simm, Adam Arany, Yves Moreau, Thanh Le Van, José Felipe Golib Dzib, Jörg K. Wegner, Vladimir I. Chupakhin, Hugo Ceulemans, Roel Wuyts, Wilfried Verachtert:
SMURFF: A High-Performance Framework for Matrix Factorization Methods. BNAIC/BENELEARN 2019 - [i4]Tom Vander Aa, Imen Chakroun, Thomas J. Ashby:
SMURFF: a High-Performance Framework for Matrix Factorization. CoRR abs/1904.02514 (2019) - [i3]Imen Chakroun, Tom Vander Aa, Tom Ashby:
Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms. CoRR abs/1904.11203 (2019) - 2018
- [j9]Imen Chakroun, Tom Vander Aa, Bruno De Fraine, Tom Haber, Pascal Costanza, Roel Wuyts:
A high-level library for multidimensional arrays programming in computational science. Concurr. Comput. Pract. Exp. 30(7) (2018) - [c32]Imen Chakroun, Tom Vander Aa, Thomas J. Ashby:
Cache-efficient Gradient Descent Algorithm. ESANN 2018 - [c30]Imen Chakroun, Tom Vander Aa, Tom Ashby:
Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster). HPCS 2018: 1066-1067 - 2017
- [c29]Tom Vander Aa, Imen Chakroun, Tom Haber:
Distributed Bayesian Probabilistic Matrix Factorization. ICCS 2017: 1030-1039 - [i2]Tom Vander Aa, Imen Chakroun, Tom Haber:
Distributed Bayesian Probabilistic Matrix Factorization. CoRR abs/1705.04159 (2017) - [i1]Tom Vander Aa, Imen Chakroun, Tom Haber:
Distributed Matrix Factorization using Asynchrounous Communication. CoRR abs/1705.10633 (2017) - 2016
- [c28]Tom Vander Aa, Imen Chakroun, Tom Haber:
Distributed Bayesian Probabilistic Matrix Factorization. CLUSTER 2016: 346-349 - [c26]Imen Chakroun, Tom Haber, Tom Vander Aa, Thomas Kovac:
Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization. PDP 2016: 119-126 - 2015
- [c25]Imen Chakroun, Tom Vander Aa, Bruno De Fraine, Tom Haber, Roel Wuyts, Wolfgang De Meuter:
ExaShark: a scalable hybrid array kit for exascale simulation. SpringSim (HPS) 2015: 41-48
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