Imen Chakroun

ORCID

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 26

Top Venues

CoRR

Concurr. Comput. Pract. Exp.

ICCS

HPCS

Lille University of Science and Technology, France (PHD)

Education History

Lille University of Science and Technology, France

PHD

Publications

Imen Chakroun, Geert Vanmeerbeeck, Roel Wuyts, Wilfried Verarcht
AI privacy preserving robots working in a smart sensor environment. ICMLA (2022)
Imen Chakroun, Tom Vander Aa, Roel Wuyts, Wilfried Verarcht
Privacy-Preserving Multi-Party Machine Learning for Object Detection. GCAIoT (2021)
Imen Chakroun, Tom Vander Aa, Roel Wuyts, Wilfried Verachtert
Distributing intelligence for object detection using edge computing. CLOUD (2021)
Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun
Synergy between parallel computing, optimization and simulation. J. Comput. Sci. 44 (2020)
Imen Chakroun, Thomas J. Ashby, Sayantan Das, Sandip Halder, Roel Wuyts, Wilfried Verachtert
Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection. ICPRAM (2020)
Imen Chakroun, Tom Vander Aa, Thomas J. Ashby
Guidelines for enhancing data locality in selected machine learning algorithms. CoRR (2020)
Tom Vander Aa, Imen Chakroun, Thomas J. Ashby
SMURFF: a High-Performance Framework for Matrix Factorization. CoRR (2019)
Imen Chakroun, Tom Vander Aa, Tom Ashby
Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms. CoRR (2019)
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)
Tom Vander Aa, Imen Chakroun, Thomas J. Ashby
SMURFF: a High-Performance Framework for Matrix Factorization. AICAS (2019)
Imen Chakroun, Tom Vander Aa, Tom Ashby
Guidelines for enhancing data locality in selected machine learning algorithms. Intell. Data Anal. 23 (5) (2019)
Imen Chakroun, Tom Vander Aa, Thomas J. Ashby
Cache-efficient Gradient Descent Algorithm. ESANN (2018)
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)
Elena Smets, Emmanuel Rios Velazquez, Giuseppina Schiavone, Imen Chakroun, Ellie D'Hondt, Walter De Raedt, Jan Cornelis, Olivier Janssens, Sofie Van Hoecke, Stephan Claes, Ilse Van Diest, Chris Van Hoof
Large-scale wearable data reveal digital phenotypes for daily-life stress detection. npj Digit. Medicine 1 (2018)
Imen Chakroun, Tom Vander Aa, Tom Ashby
Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster). HPCS (2018)
Imen Chakroun, Nick Michiels, Roel Wuyts
GPU-accelerated CellProfiler. BIBM (2018)
Nouredine Melab, Albert Y. Zomaya, Imen Chakroun
Parallel optimization using/for multi and many-core high performance computing. J. Parallel Distributed Comput. 112 (2018)
Imen Chakroun, Tom Haber, Thomas J. Ashby
SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm. ICCS (2017)
Tom Vander Aa, Imen Chakroun, Tom Haber
Distributed Matrix Factorization using Asynchrounous Communication. CoRR (2017)
Tom Vander Aa, Imen Chakroun, Tom Haber
Distributed Bayesian Probabilistic Matrix Factorization. CoRR (2017)
Tom Vander Aa, Imen Chakroun, Tom Haber
Distributed Bayesian Probabilistic Matrix Factorization. ICCS (2017)
Imen Chakroun, Tom Haber, Tom Vander Aa, Thomas Kovac
Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization. PDP (2016)
Tom Vander Aa, Imen Chakroun, Tom Haber
Distributed Bayesian Probabilistic Matrix Factorization. CLUSTER (2016)
Imen Chakroun, Nouredine Melab
HB&B@GRID: An heterogeneous grid-enabled Branch and Bound algorithm. HPCS (2016)
Imen Chakroun, Nouredine Melab
Towards a heterogeneous and adaptive parallel Branch-and-Bound algorithm. J. Comput. Syst. Sci. 81 (1) (2015)
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)
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) (2014)
Imen Chakroun, Nordine Melab
Operator-Level GPU-Accelerated Branch and Bound Algorithms. ICCS (2013)
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) (2013)
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) (2013)
Nouredine Melab, Imen Chakroun, Mohand-Said Mezmaz, Daniel Tuyttens
A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem CoRR (2012)
Imen Chakroun, Nouredine Melab
An Adaptative Multi-GPU Based Branch-and-Bound. A Case Study: The Flow-Shop Scheduling Problem. HPCC-ICESS (2012)
Imen Chakroun, Nouredine Melab
An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem CoRR (2012)
Nouredine Melab, Imen Chakroun, Mohand Mezmaz, Daniel Tuyttens
A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem. CLUSTER (2012)
Imen Chakroun, Ahcène Bendjoudi, Nouredine Melab
Reducing Thread Divergence in GPU-Based B&B Applied to the Flow-Shop Problem. PPAM (1) (2011)

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Publication Activity (10 Years)

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Imen Chakroun