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Imen Chakroun
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2020 – today
- 2022
- [c19]Imen Chakroun, Geert Vanmeerbeeck
, Roel Wuyts, Wilfried Verarcht:
AI privacy preserving robots working in a smart sensor environment. ICMLA 2022: 300-306 - 2021
- [c18]Imen Chakroun, Tom Vander Aa
Distributing intelligence for object detection using edge computing. CLOUD 2021: 681-687 - [c17]Imen Chakroun, Tom Vander Aa
Privacy-Preserving Multi-Party Machine Learning for Object Detection. GCAIoT 2021: 7-13 - 2020
- [j9]Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun:
Synergy between parallel computing, optimization and simulation. J. Comput. Sci. 44: 101168 (2020) - [c16]Imen Chakroun, Thomas J. Ashby, Sayantan Das, Sandip Halder, Roel Wuyts, Wilfried Verachtert:
Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection. ICPRAM 2020: 273-279 - [i7]Imen Chakroun, Tom Vander Aa, Thomas J. Ashby:
Guidelines for enhancing data locality in selected machine learning algorithms. CoRR abs/2001.03000 (2020)
2010 – 2019
- 2019
- [j8]Imen Chakroun, Tom Vander Aa
Guidelines for enhancing data locality in selected machine learning algorithms. Intell. Data Anal. 23(5): 1003-1020 (2019) - [c15]Tom Vander Aa
SMURFF: a High-Performance Framework for Matrix Factorization. AICAS 2019: 304-308 - [c14]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 - [i6]Tom Vander Aa, Imen Chakroun, Thomas J. Ashby:
SMURFF: a High-Performance Framework for Matrix Factorization. CoRR abs/1904.02514 (2019) - [i5]Imen Chakroun, Tom Vander Aa, Tom Ashby:
Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms. CoRR abs/1904.11203 (2019) - 2018
- [j7]Imen Chakroun
A high-level library for multidimensional arrays programming in computational science. Concurr. Comput. Pract. Exp. 30(7) (2018) - [j6]Nouredine Melab, Albert Y. Zomaya
Parallel optimization using/for multi and many-core high performance computing. J. Parallel Distributed Comput. 112: 109-110 (2018) - [j5]Elena Smets
Large-scale wearable data reveal digital phenotypes for daily-life stress detection. npj Digit. Medicine 1 (2018) - [c13]Imen Chakroun, Nick Michiels
GPU-accelerated CellProfiler. BIBM 2018: 321-326 - [c12]Imen Chakroun, Tom Vander Aa, Thomas J. Ashby:
Cache-efficient Gradient Descent Algorithm. ESANN 2018 - [c11]Imen Chakroun, Tom Vander Aa, Tom Ashby:
Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster). HPCS 2018: 1066-1067 - 2017
- [c10]Tom Vander Aa
Distributed Bayesian Probabilistic Matrix Factorization. ICCS 2017: 1030-1039 - [c9]Imen Chakroun, Tom Haber, Thomas J. Ashby:
SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm. ICCS 2017: 2318-2322 - [i4]Tom Vander Aa, Imen Chakroun, Tom Haber:
Distributed Bayesian Probabilistic Matrix Factorization. CoRR abs/1705.04159 (2017) - [i3]Tom Vander Aa, Imen Chakroun, Tom Haber:
Distributed Matrix Factorization using Asynchrounous Communication. CoRR abs/1705.10633 (2017) - 2016
- [c8]Tom Vander Aa
Distributed Bayesian Probabilistic Matrix Factorization. CLUSTER 2016: 346-349 - [c7]Imen Chakroun, Nouredine Melab:
HB&B@GRID: An heterogeneous grid-enabled Branch and Bound algorithm. HPCS 2016: 697-704 - [c6]Imen Chakroun, Tom Haber, Tom Vander Aa
Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization. PDP 2016: 119-126 - 2015
- [j4]Imen Chakroun, Nouredine Melab:
Towards a heterogeneous and adaptive parallel Branch-and-Bound algorithm. J. Comput. Syst. Sci. 81(1): 72-84 (2015) - [c5]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 - 2014
- [j3]Nouredine Melab, Imen Chakroun, Ahcène Bendjoudi:
Graphics processing unit-accelerated bounding for branch-and-bound applied to a permutation problem using data access optimization. Concurr. Comput. Pract. Exp. 26(16): 2667-2683 (2014) - 2013
- [b1]Imen Chakroun:
Parallel heterogeneous Branch and Bound algorithms for multi-core and multi-GPU environments. (Algorithmes Branch and Bound parallèles hétérogènes pour environnements multi-coeurs et multi-GPU). Lille University of Science and Technology, France, 2013 - [j2]Imen Chakroun, Mohand-Said Mezmaz, Nouredine Melab, Ahcène Bendjoudi:
Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm. Concurr. Comput. Pract. Exp. 25(8): 1121-1136 (2013) - [j1]Imen Chakroun, Nordine Melab, Mohand-Said Mezmaz, Daniel Tuyttens:
Combining multi-core and GPU computing for solving combinatorial optimization problems. J. Parallel Distributed Comput. 73(12): 1563-1577 (2013) - [c4]Imen Chakroun, Nordine Melab:
Operator-Level GPU-Accelerated Branch and Bound Algorithms. ICCS 2013: 280-289 - 2012
- [c3]Nouredine Melab, Imen Chakroun, Mohand Mezmaz, Daniel Tuyttens:
A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem. CLUSTER 2012: 10-17 - [c2]Imen Chakroun, Nouredine Melab:
An Adaptative Multi-GPU Based Branch-and-Bound. A Case Study: The Flow-Shop Scheduling Problem. HPCC-ICESS 2012: 389-395 - [i2]Imen Chakroun, Nouredine Melab:
An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem. CoRR abs/1206.4973 (2012) - [i1]Nouredine Melab, Imen Chakroun, Mohand-Said Mezmaz, Daniel Tuyttens:
A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem. CoRR abs/1208.3933 (2012) - 2011
- [c1]Imen Chakroun, Ahcène Bendjoudi, Nouredine Melab:
Reducing Thread Divergence in GPU-Based B&B Applied to the Flow-Shop Problem. PPAM (1) 2011: 559-568
Coauthor Index
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