DeLUCS: Deep learning for unsupervised clustering of DNA sequences P Millán Arias, F Alipour, KA Hill, L Kari Plos one 17 (1), e0261531, 2022 | 41 | 2022 |
Environment and taxonomy shape the genomic signature of prokaryotic extremophiles PM Arias, J Butler, GS Randhawa, MPM Soltysiak, KA Hill, L Kari Scientific Reports 13 (1), 16105, 2023 | 3 | 2023 |
iDeLUCS: a deep learning interactive tool for alignment-free clustering of DNA sequences P Millan Arias, KA Hill, L Kari Bioinformatics 39 (9), btad508, 2023 | 3 | 2023 |
BarcodeBERT: Transformers for Biodiversity Analysis P Millan Arias, N Sadjadi, M Safari, ZM Gong, AT Wang, SC Lowe, ... arXiv preprint arXiv:2311.02401, 2023 | 2 | 2023 |
Deep Learned vs. Hand-Crafted Features for Action Classification PAM Arias, JAQ Sepulveda 2018 IEEE First International Conference on Artificial Intelligence and …, 2018 | 1 | 2018 |
Information Geometry applied to action classification PAM Arias Dissertation, Bogotá, DC, 2018 | 1 | 2018 |
BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity Z Gharaee, SC Lowe, ZM Gong, PM Arias, N Pellegrino, AT Wang, ... arXiv preprint arXiv:2406.12723, 2024 | | 2024 |
Deep Unsupervised Learning for Biodiversity Analyses: Representation learning and clustering of bacterial, mitochondrial, and barcode DNA sequences P Millan Arias University of Waterloo, 2024 | | 2024 |