Ouassim Ait ElHara

According to our database, Ouassim Ait ElHara authored at least 12 papers between 2013 and 2020.

Collaborative distances:

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

2020

Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond.

Konstantinos Varelas, Ouassim Ait ElHara, Dimo Brockhoff, Nikolaus Hansen, Duc Manh Nguyen, Tea Tusar, Anne Auger

Appl. Soft Comput., 2020

Dual Independent Classification For Sketch-Based 3D Shape Retrieval.

Moncef Zakaria Mouffok, Hedi Tabia, Ouassim Ait ElHara

Proceedings of the IEEE International Conference on Image Processing, 2020

Filtering a Reference Corpus to Generalize Stylometric Representations.

Julien Hay, Bich-Liên Doan, Fabrice Popineau, Ouassim Ait ElHara

Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

Representation learning of writing style.

Julien Hay, Bich-Liên Doan, Fabrice Popineau, Ouassim Ait ElHara

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite.

Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger

CoRR, 2019

2018

A Comparative Study of Large-Scale Variants of CMA-ES.

Konstantinos Varelas, Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Ouassim Ait ElHara, Yann Semet, Rami Kassab, Frédéric Barbaresco

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Automatically Selecting Complementary Vector Representations for Semantic Textual Similarity.

Julien Hay, Tim Van de Cruys, Philippe Muller, Bich-Liên Doan, Fabrice Popineau, Ouassim Ait ElHara

Proceedings of the Advances in Knowledge Discovery and Management, 2018

2017

Stochastic Black-Box Optimization and Benchmarking in Large Dimensions. (Optimisation stochastique de problèmes en boîtes noires et benchmarking en grandes dimensions).

Ouassim Ait ElHara

PhD thesis, 2017

2016

Using fitness comparison disagreements as a metric for promoting diversity in Dynamic Optimisation Problems.

Edgar Galván López, Ouassim Ait ElHara

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

On the Use of Semantics in Multi-objective Genetic Programming.

Edgar Galván López, Efrén Mezura-Montes, Ouassim Ait ElHara, Marc Schoenauer

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Permuted Orthogonal Block-Diagonal Transformation Matrices for Large Scale Optimization Benchmarking.

Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2013

A median success rule for non-elitist evolution strategies: study of feasibility.

Ouassim Ait ElHara, Anne Auger, Nikolaus Hansen

Proceedings of the Genetic and Evolutionary Computation Conference, 2013