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A Detailed Study of the Distributed Rough Set Based Locality Sensitive Hashing Feature Selection Technique., and . Fundam. Informaticae, 182 (2): 111-179 (2021)Evolutionary search techniques for the Lyndon factorization of biosequences., , , and . GECCO (Companion), page 1543-1550. ACM, (2019)A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework., , , and . IEEE BigData, page 911-916. IEEE Computer Society, (2017)On the benefits and risks of using fitness sharing for multimodal optimisation., , and . Theor. Comput. Sci., (2019)A visualization tool to explore alphabet orderings for the Burrows-Wheeler Transform., , , , , and . CoRR, (2024)Unlimited budget analysis., , and . GECCO (Companion), page 427-428. ACM, (2019)Women@GECCO 2016 Chairs' Welcome., , , , , , , , and . GECCO (Companion), page 1447-1449. ACM, (2016)Evaluation of a Permutation-Based Evolutionary Framework for Lyndon Factorizations., , , , , and . PPSN (1), volume 12269 of Lecture Notes in Computer Science, page 390-403. Springer, (2020)Heuristics for the Run-length Encoded Burrows-Wheeler Transform Alphabet Ordering Problem., , , , and . CoRR, (2024)A scalable and effective rough set theory-based approach for big data pre-processing., , , and . Knowl. Inf. Syst., 62 (8): 3321-3386 (2020)