Imen Chakroun

36 papers B 2C 5Misc 3Journal 16Unranked 9
YearRankTypeTitle / Venue / Authors
2022 C conf
AI privacy preserving robots working in a smart sensor environment.
ICMLA
Imen Chakroun, Geert Vanmeerbeeck, Roel Wuyts, Wilfried Verarcht
2021 B conf
Distributing intelligence for object detection using edge computing.
CLOUD
Imen Chakroun, Tom Vander Aa, Roel Wuyts, Wilfried Verachtert
2021 — conf
Privacy-Preserving Multi-Party Machine Learning for Object Detection.
GCAIoT
Imen Chakroun, Tom Vander Aa, Roel Wuyts, Wilfried Verarcht
2020 J jnl
Guidelines for enhancing data locality in selected machine learning algorithms.
CoRR
Imen Chakroun, Tom Vander Aa, Thomas J. Ashby
2020 J jnl
Synergy between parallel computing, optimization and simulation.
J. Comput. Sci.
Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun
2020 C conf
Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection.
ICPRAM
Imen Chakroun, Thomas J. Ashby, Sayantan Das, Sandip Halder, Roel Wuyts, Wilfried Verachtert
2019 J jnl
Guidelines for enhancing data locality in selected machine learning algorithms.
Intell. Data Anal.
Imen Chakroun, Tom Vander Aa, Tom Ashby
2019 J jnl
Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms.
CoRR
Imen Chakroun, Tom Vander Aa, Tom Ashby
2019 — conf
SMURFF: A High-Performance Framework for Matrix Factorization Methods.
BNAIC/BENELEARN
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
2019 — conf
SMURFF: a High-Performance Framework for Matrix Factorization.
AICAS
Tom Vander Aa, Imen Chakroun, Thomas J. Ashby
2019 J jnl
SMURFF: a High-Performance Framework for Matrix Factorization.
CoRR
Tom Vander Aa, Imen Chakroun, Thomas J. Ashby
2018 J jnl
A high-level library for multidimensional arrays programming in computational science.
Concurr. Comput. Pract. Exp.
Imen Chakroun, Tom Vander Aa, Bruno De Fraine, Tom Haber, Pascal Costanza, Roel Wuyts
2018 B conf
Cache-efficient Gradient Descent Algorithm.
ESANN
Imen Chakroun, Tom Vander Aa, Thomas J. Ashby
2018 — conf
Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster).
HPCS
Imen Chakroun, Tom Vander Aa, Tom Ashby
2018 — conf
GPU-accelerated CellProfiler.
BIBM
Imen Chakroun, Nick Michiels, Roel Wuyts
2018 J jnl
Large-scale wearable data reveal digital phenotypes for daily-life stress detection.
npj Digit. Medicine
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
2018 J jnl
Parallel optimization using/for multi and many-core high performance computing.
J. Parallel Distributed Comput.
Nouredine Melab, Albert Y. Zomaya, Imen Chakroun
2017 Misc conf
Distributed Bayesian Probabilistic Matrix Factorization.
ICCS
Tom Vander Aa, Imen Chakroun, Tom Haber
2017 J jnl
Distributed Bayesian Probabilistic Matrix Factorization.
CoRR
Tom Vander Aa, Imen Chakroun, Tom Haber
2017 J jnl
Distributed Matrix Factorization using Asynchrounous Communication.
CoRR
Tom Vander Aa, Imen Chakroun, Tom Haber
2017 Misc conf
SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm.
ICCS
Imen Chakroun, Tom Haber, Thomas J. Ashby
2016 C conf
Distributed Bayesian Probabilistic Matrix Factorization.
CLUSTER
Tom Vander Aa, Imen Chakroun, Tom Haber
2016 C conf
Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization.
PDP
Imen Chakroun, Tom Haber, Tom Vander Aa, Thomas Kovac
2016 — conf
HB&B@GRID: An heterogeneous grid-enabled Branch and Bound algorithm.
HPCS
Imen Chakroun, Nouredine Melab
2015 — conf
ExaShark: a scalable hybrid array kit for exascale simulation.
SpringSim (HPS)
Imen Chakroun, Tom Vander Aa, Bruno De Fraine, Tom Haber, Roel Wuyts, Wolfgang De Meuter
2015 J jnl
Towards a heterogeneous and adaptive parallel Branch-and-Bound algorithm.
J. Comput. Syst. Sci.
Imen Chakroun, Nouredine Melab
2014 J jnl
Graphics processing unit-accelerated bounding for branch-and-bound applied to a permutation problem using data access optimization.
Concurr. Comput. Pract. Exp.
Nouredine Melab, Imen Chakroun, Ahcène Bendjoudi
2013 J jnl
Combining multi-core and GPU computing for solving combinatorial optimization problems.
J. Parallel Distributed Comput.
Imen Chakroun, Nordine Melab, Mohand-Said Mezmaz, Daniel Tuyttens
2013 Misc conf
Operator-Level GPU-Accelerated Branch and Bound Algorithms.
ICCS
Imen Chakroun, Nordine Melab
2013 — —
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).
Imen Chakroun
2013 J jnl
Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm.
Concurr. Comput. Pract. Exp.
Imen Chakroun, Mohand-Said Mezmaz, Nouredine Melab, Ahcène Bendjoudi
2012 J jnl
A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem
CoRR
Nouredine Melab, Imen Chakroun, Mohand-Said Mezmaz, Daniel Tuyttens
2012 C conf
A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem.
CLUSTER
Nouredine Melab, Imen Chakroun, Mohand Mezmaz, Daniel Tuyttens
2012 — conf
An Adaptative Multi-GPU Based Branch-and-Bound. A Case Study: The Flow-Shop Scheduling Problem.
HPCC-ICESS
Imen Chakroun, Nouredine Melab
2012 J jnl
An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem
CoRR
Imen Chakroun, Nouredine Melab
2011 — conf
Reducing Thread Divergence in GPU-Based B&B Applied to the Flow-Shop Problem.
PPAM (1)
Imen Chakroun, Ahcène Bendjoudi, Nouredine Melab