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Protein Motif Retrieval by Secondary Structure Element Geometry and Biological Features Saliency.

, , , , , and . DEXA Workshops, page 23-27. IEEE Computer Society, (2014)

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Assessment of a Black-Box Approach for a Parallel Finite Elements Solver in Computational Hemodynamics., , , , , , and . TrustCom/BigDataSE/ISPA (3), page 202-207. IEEE, (2015)978-1-4673-7952-6.Extending Cross Motif Search with Heuristic Data Mining., , and . DEXA Workshops, page 57-61. IEEE Computer Society, (2017)CCMS: A Greedy Approach to Motif Extraction., , and . ICIAP Workshops, volume 8158 of Lecture Notes in Computer Science, page 363-371. Springer, (2013)A scalable multi-signal approach for the parallelization of self-organizing neural networks., , , and . Neural Networks, (2020)Geometrical motifs search in proteins: A parallel approach., and . Parallel Comput., (2015)Mining Geometrical Motifs Co-occurrences in the CMS Dataset., and . DEXA Workshops, volume 903 of Communications in Computer and Information Science, page 179-190. Springer, (2018)A Review of Quasi-perfect Secondary Structure Prediction Servers., , and . DEXA Workshops, volume 1062 of Communications in Computer and Information Science, page 21-26. Springer, (2019)Gaze-based biometrics: An introduction to forensic applications., , , and . Pattern Recognit. Lett., (2018)Embedding Recurrent Neural Networks in Wearable Systems for Real-Time Fall Detection., , , , , , and . Microprocess. Microsystems, (2019)Parallelizing a finite element solver in computational hemodynamics., , , , , , and . Int. J. High Perform. Comput. Appl., 32 (3): 351-362 (2018)