Browsing by author "Chakroun, Imen"
Now showing items 1-20 of 22
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A high level library for multi-dimensional arrays programming in computational science
Chakroun, Imen; Vander Aa, Tom; De Fraine, Bruno; Haber, Tom; Costanza, Pascal; Wuyts, Roel (2018) -
AI privacy preserving robots working in a smart sensor environment
Chakroun, Imen; Vanmeerbeeck, Geert; Wuyts, Roel; Verachtert, Wilfried (2022) -
Cache-efficient gradient descent algorithm
Chakroun, Imen; Vander Aa, Tom; Ashby, Tom (2018) -
Distributed bayesian probabilistic matrix factorization
Vander Aa, Tom; Chakroun, Imen; Haber, Tom (2016) -
Distributing intelligence for object detection using edge computing
Chakroun, Imen; Vander Aa, Tom; Wuyts, Roel; Verachtert, Wilfried (2021) -
Enhancing machine learning optimization algorithms by leveraging memory caching
Chakroun, Imen; Vander Aa, Tom; Ashby, Tom (2018) -
ExaSHARK+GASPI: Reducing the burden to program large HPC systems since 2014
Vander Aa, Tom; Chakroun, Imen; Wuyts, Roel; Rahn, Mirko; Siummendinger, Christian (2015) -
ExaShark: A scalable hybrid array kit for exascale simulation
Chakroun, Imen; Vander Aa, Tom; De Fraine, Bruno; Haber, Tom; Wuyts, Roel; Demeuter, Wolgang (2015) -
Exploring parallel implementations of the Bayesian probabilistic matrix factorization
Chakroun, Imen; Haber, Tom; Vander Aa, Tom; Kovac, Thomas (2016) -
GPU-enabled CellProfiler
Chakroun, Imen; Michiels, Nick; Wuyts, Roel (2018) -
Guidelines for enhancing data locality in selected machine learning algorithms
Chakroun, Imen; Vander Aa, Tom; Ashby, Tom (2019) -
HB&B@GRID: An heterogeneous grid-enabled Branch and Bound algorithm
Chakroun, Imen; Melab, Nouredine (2016) -
Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit
D'Hondt, Ellie; Ashby, Tom; Chakroun, Imen; Koninckx, Thomas; Wuyts, Roel (2022) -
Large-scale wearable data reveal digital phenotypes for daily-life stress detection
Smets, Elena; Rios Velazquez, Emmanuel; Schiavone, Giuseppina; Chakroun, Imen; D'Hondt, Ellie; De Raedt, Walter; Cornelis, Jan 2; Janssens, Olivier; Van Hoecke, Sofie; Claes, Stephan; Van Diest, Ilse; Van Hoof, Chris (2018-12) -
Parallel optimization using/for multi and many-core high performance computing (editorial)
Melab, Nouredine; Zomaya, Albert; Chakroun, Imen (2018) -
Privacy preserving machine learning for process control
Verachtert, Wilfried; Ashby, Tom; Chakroun, Imen; Wuyts, Roel; Das, Sayantan; Halder, Sandip; Leray, Philippe (2021) -
Privacy-Preserving Multi-Party Machine Learning for Object Detection
Chakroun, Imen; Vander Aa, Tom; Wuyts, Roel; Verachtert, Wilfried (2021) -
Reviewing data access patterns and computational redundancy for machine learning algorithms
Chakroun, Imen; Vander Aa, Tom; Ashby, Tom (2019) -
SMURFF: A high-performance framework for matrix factorization
Vander Aa, Tom; Chakroun, Imen; Ashby, Tom (2019) -
Stencil-based exascale simulations using an N-dimensional array toolkit
Chakroun, Imen; Bhatti, Zubair Wadood; Vander Aa, Tom; Wuyts, Roel; Demeuter, Wolfgang (2015)