Imen Chakroun

IMEC — Belgium

Engineering · Physical Sciences

11h-index504citations37works0.02yr avg
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Research Topics

Scheduling and Optimization Algorithms(13), Optimization and Search Problems(9), Parallel Computing and Optimization Techniques(6), Distributed and Parallel Computing Systems(6), Optimization and Packing Problems(6)

Publications37 total

Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit
Communications Medicine·2022· 26 citedOpen Access
AI privacy preserving robots working in a smart sensor environment
2022· 3 citedOpen Access
Privacy-Preserving Multi-Party Machine Learning for Object Detection
2021· 1 cited
Distributing intelligence for object detection using edge computing
2021· 2 cited
Multi party privacy preserving machine learning for process control
Metrology, Inspection, and Process Control for Semiconductor Manufacturing XXXV·2021· 1 cited
Synergy between parallel computing, optimization and simulation
Journal of Computational Science·2020· 5 cited
Using Unsupervised Machine Learning for Plasma Etching Endpoint Detection
2020· 6 citedOpen Access
REVIEWING DATA ACCESS PATTERNS AND COMPUTATIONAL REDUNDANCY FOR MACHINE LEARNING ALGORITHMS
2019Open Access
Reviewing Data Access Patterns and Computational Redundancy for Machine\n Learning Algorithms
arXiv (Cornell University)·2019Open Access
SMURFF: a High-Performance Framework for Matrix Factorization
arXiv (Cornell University)·2019Open Access
SMURFF: a High-Performance Framework for Matrix Factorization
2019· 2 citedOpen Access
SMURFF: A High-Performance Framework for Matrix Factorization Methods.
2019
Large-scale wearable data reveal digital phenotypes for daily-life stress detection
npj Digital Medicine·2018· 228 citedOpen Access
GPU-accelerated CellProfiler
2018· 1 cited
Enhancing Machine Learning Optimization Algorithms by Leveraging Memory Caching (Research Poster)
2018
A high‐level library for multidimensional arrays programming in computational science
Concurrency and Computation Practice and Experience·2018· 1 cited
Cache-efficient Gradient Descent Algorithm.
The European Symposium on Artificial Neural Networks·2018
Parallel optimization using/for multi and many-core high performance computing
Journal of Parallel and Distributed Computing·2017· 1 citedOpen Access
Distributed Bayesian Probabilistic Matrix Factorization
Procedia Computer Science·2017· 15 citedOpen Access
SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm
Procedia Computer Science·2017· 24 citedOpen Access
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Frequent Co-authors

Nouredine Melab(13), Tom Vander Aa(13), Roel Wuyts(11), Thomas J. Ashby(6), Ahcène Bendjoudi(5), Wilfried Verachtert(5), Tom Ashby(5), Tom Haber(4), Ellie D’Hondt(2), Mohand Mezmaz(2), Daniel Tuyttens(2), Sayantan Das(2), Sandip Halder(2), Wilfried Verarcht(2), Jaak Simm(2), Ádám Arany(2), Yves Moreau(2), José Felipe Golib Dzib(2), Jörg K. Wegner(2), Vladimir Chupakhin(2)