Imen Chakroun

According to our database, Imen Chakroun authored at least 30 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

AI privacy preserving robots working in a smart sensor environment.

Imen Chakroun, Geert Vanmeerbeeck, Roel Wuyts, Wilfried Verarcht

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Privacy-Preserving Multi-Party Machine Learning for Object Detection.

Imen Chakroun, Tom Vander Aa, Roel Wuyts, Wilfried Verarcht

Proceedings of the IEEE Global Conference on Artificial Intelligence and Internet of Things, 2021

Distributing intelligence for object detection using edge computing.

Imen Chakroun, Tom Vander Aa, Roel Wuyts, Wilfried Verachtert

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Synergy between parallel computing, optimization and simulation.

Nouredine Melab, Jan Gmys, Peter Korosec, Imen Chakroun

J. Comput. Sci., 2020

Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection.

Imen Chakroun, Thomas J. Ashby, Sayantan Das, Sandip Halder, Roel Wuyts, Wilfried Verachtert

Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

2019

Guidelines for enhancing data locality in selected machine learning algorithms.

Imen Chakroun, Tom Vander Aa, Tom Ashby

Intell. Data Anal., 2019

Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms.

Imen Chakroun, Tom Vander Aa, Tom Ashby

CoRR, 2019

SMURFF: A High-Performance Framework for Matrix Factorization Methods.

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

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

SMURFF: a High-Performance Framework for Matrix Factorization.

Tom Vander Aa, Imen Chakroun, Thomas J. Ashby

Proceedings of the IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019

2018

Large-scale wearable data reveal digital phenotypes for daily-life stress detection.

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

npj Digit. Medicine, 2018

Parallel optimization using/for multi and many-core high performance computing.

Nouredine Melab, Albert Y. Zomaya, Imen Chakroun

J. Parallel Distributed Comput., 2018

A high-level library for multidimensional arrays programming in computational science.

Imen Chakroun, Tom Vander Aa, Bruno De Fraine, Tom Haber, Pascal Costanza, Roel Wuyts

Concurr. Comput. Pract. Exp., 2018

Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster).

Imen Chakroun, Tom Vander Aa, Tom Ashby

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Cache-efficient Gradient Descent Algorithm.

Imen Chakroun, Tom Vander Aa, Thomas J. Ashby

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

GPU-accelerated CellProfiler.

Imen Chakroun, Nick Michiels, Roel Wuyts

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017

Distributed Matrix Factorization using Asynchrounous Communication.

Tom Vander Aa, Imen Chakroun, Tom Haber

CoRR, 2017

SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm.

Imen Chakroun, Tom Haber, Thomas J. Ashby

Proceedings of the International Conference on Computational Science, 2017

Distributed Bayesian Probabilistic Matrix Factorization.

Tom Vander Aa, Imen Chakroun, Tom Haber

Proceedings of the International Conference on Computational Science, 2017

2016

Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization.

Imen Chakroun, Tom Haber, Tom Vander Aa, Thomas Kovac

Proceedings of the 24th Euromicro International Conference on Parallel, 2016

HB&B@GRID: An heterogeneous grid-enabled Branch and Bound algorithm.

Imen Chakroun, Nouredine Melab

Proceedings of the International Conference on High Performance Computing & Simulation, 2016

2015

Towards a heterogeneous and adaptive parallel Branch-and-Bound algorithm.

Imen Chakroun, Nouredine Melab

J. Comput. Syst. Sci., 2015

ExaShark: a scalable hybrid array kit for exascale simulation.

Imen Chakroun, Tom Vander Aa, Bruno De Fraine, Tom Haber, Roel Wuyts, Wolfgang De Meuter

Proceedings of the Symposium on High Performance Computing, 2015

2014

Graphics processing unit-accelerated bounding for branch-and-bound applied to a permutation problem using data access optimization.

Nouredine Melab, Imen Chakroun, Ahcène Bendjoudi

Concurr. Comput. Pract. Exp., 2014

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

PhD thesis, 2013

Combining multi-core and GPU computing for solving combinatorial optimization problems.

Imen Chakroun, Nordine Melab, Mohand-Said Mezmaz, Daniel Tuyttens

J. Parallel Distributed Comput., 2013

Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm.

Imen Chakroun, Mohand-Said Mezmaz, Nouredine Melab, Ahcène Bendjoudi

Concurr. Comput. Pract. Exp., 2013

Operator-Level GPU-Accelerated Branch and Bound Algorithms.

Imen Chakroun, Nordine Melab

Proceedings of the International Conference on Computational Science, 2013

2012

An Adaptative Multi-GPU Based Branch-and-Bound. A Case Study: The Flow-Shop Scheduling Problem.

Imen Chakroun, Nouredine Melab

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

A GPU-accelerated Branch-and-Bound Algorithm for the Flow-Shop Scheduling Problem.

Nouredine Melab, Imen Chakroun, Mohand Mezmaz, Daniel Tuyttens

Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

2011

Reducing Thread Divergence in GPU-Based B&B Applied to the Flow-Shop Problem.

Imen Chakroun, Ahcène Bendjoudi, Nouredine Melab

Proceedings of the Parallel Processing and Applied Mathematics, 2011