Large-scale wearable data reveal digital phenotypes for daily-life stress detection by Smets, Elena, Rios Velazquez, Emmanuel, Schiavone, Giuseppina, Chakroun, Imen, D’Hondt, Ellie, De Raedt, Walter, Cornelis, Jan, Janssens, Olivier, Van Hoecke, Sofie, Claes, Stephan, Van Diest, Ilse, Van Hoof, Chris

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SW-SGD: The Sliding Window Stochastic Gradient Descent Algorithm by Chakroun, Imen, Haber, Tom, Ashby, Thomas J.

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Identifying and evaluating barriers for the implementation of machine learning in the intensive care unit by D’Hondt, Ellie, Ashby, Thomas J., Chakroun, Imen, Koninckx, Thomas, Wuyts, Roel

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Synergy between parallel computing, optimization and simulation by Melab, Nouredine, Gmys, Jan, Korosec, Peter, Chakroun, Imen

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Towards a heterogeneous and adaptive parallel Branch-and-Bound algorithm by Chakroun, I., Melab, N.

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Parallel optimization using/for multi and many-core high performance computing by Zomaya, Albert Y., Chakroun, Imen

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Distributed Bayesian Probabilistic Matrix Factorization by Vander Aa, Tom, Chakroun, Imen, Haber, Tom

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Combining multi-core and GPU computing for solving combinatorial optimization problems by Chakroun, I., Melab, N., Mezmaz, M., Tuyttens, D.

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Reducing thread divergence in a GPU-accelerated branch-and-bound algorithm by Chakroun, I., Mezmaz, M., Melab, N., Bendjoudi, A.

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Distributed Bayesian Probabilistic Matrix Factorization by Aa, Tom Vander, Chakroun, Imen, Haber, Tom

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Guidelines for enhancing data locality in selected machine learning algorithms by Chakroun, Imen, Aa, Tom Vander, Ashby, Tomas J.

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Graphics processing unit-accelerated bounding for branch-and-bound applied to a permutation problem using data access optimization by Melab, N., Chakroun, I., Bendjoudi, A.

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A high‐level library for multidimensional arrays programming in computational science by Chakroun, Imen, Vander Aa, Tom, De Fraine, Bruno, Haber, Tom, Costanza, Pascal, Wuyts, Roel

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Distributing intelligence for object detection using edge computing by Chakroun, Imen, Aa, Tom Vander, Wuyts, Roel, Verachtert, Wilfried

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Guidelines for enhancing data locality in selected machine learning algorithms by Chakroun, Imen, Tom Vander Aa, Ashby, Thomas J

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Reviewing Data Access Patterns and Computational Redundancy for Machine Learning Algorithms by Chakroun, Imen, Tom Vander Aa, Ashby, Tom

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Distributed Matrix Factorization using Asynchrounous Communication by Tom Vander Aa, Chakroun, Imen, Haber, Tom

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Distributed Bayesian Probabilistic Matrix Factorization by Tom Vander Aa, Chakroun, Imen, Haber, Tom

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An Adaptative Multi-GPU based Branch-and-Bound. A Case Study: the Flow-Shop Scheduling Problem by Chakroun, Imen, Melab, Nouredine

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Exploring Parallel Implementations of the Bayesian Probabilistic Matrix Factorization by Chakroun, Imen, Haber, Tom, Aa, Tom Vander, Kovac, Thomas

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