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SpanSeq: Similarity-based sequence data splitting method for improved development and assessment of deep learning projects
Feb. 23, 2024, 5:42 a.m. | Alfred Ferrer Florensa, Jose Juan Almagro Armenteros, Henrik Nielsen, Frank M{\o}ller Aarestrup, Philip Thomas Lanken Conradsen Clausen
cs.LG updates on arXiv.org arxiv.org
Abstract: The use of deep learning models in computational biology has increased massively in recent years, and is expected to do so further with the current advances in fields like Natural Language Processing. These models, although able to draw complex relations between input and target, are also largely inclined to learn noisy deviations from the pool of data used during their development. In order to assess their performance on unseen data (their capacity to generalize), it …
arxiv assessment cs.lg data deep learning deep learning projects development projects q-bio.qm type
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