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ORCIDClaudia R. Solís-Lemus
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2020 – today
- 2024
[j4]Rosa Aghdam, Xudong Tang, Shan Shan, Richard Lankau, Claudia R. Solís-Lemus:
Human limits in machine learning: prediction of potato yield and disease using soil microbiome data. BMC Bioinform. 25(1): 366 (2024)- [j3]Reed Nelson, Rosa Aghdam, Claudia R. Solís-Lemus:
MiNAA: Microbiome Network Alignment Algorithm. J. Open Source Softw. 9(96): 5448 (2024) - 2023
- [j2]Jennifer B. Rattray
, Ryan J. Lowhorn, Ryan Walden, Pedro Márquez-Zacarías, Evgeniya Molotkova, Gabriel Perron, Claudia R. Solís-Lemus, Daniel Pimentel Alarcon, Sam P. Brown:
Machine learning identification of Pseudomonas aeruginosa strains from colony image data. PLoS Comput. Biol. 19(12) (2023) - [i2]Rosa Aghdam, Xudong Tang, Shan Shan, Richard Lankau, Claudia R. Solís-Lemus:
Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data. CoRR abs/2306.11157 (2023) - 2022
- [j1]Zhaoyi Zhang, Songyang Cheng, Claudia R. Solís-Lemus:
Towards a robust out-of-the-box neural network model for genomic data. BMC Bioinform. 23(1): 125 (2022) - 2021
- [i1]Yuren Sun, Tatiana Midori Maeda, Claudia R. Solís-Lemus, Daniel L. Pimentel-Alarcón, Zuzana Burivalova:
Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks. CoRR abs/2111.14971 (2021)
2010 – 2019
- 2018
- [c3]Claudia R. Solís-Lemus, Daniel L. Pimentel-Alarcón:
Breaking the Limits of Subspace Inference. Allerton 2018: 654-661 - 2017
- [c2]Daniel L. Pimentel-Alarcón, Aritra Biswas, Claudia R. Solís-Lemus:
Adversarial principal component analysis. ISIT 2017: 2363-2367 - 2016
- [c1]Daniel L. Pimentel-Alarcón, Claudia R. Solís-Lemus:
Crime Detection via Crowdsourcing. MCPR 2016: 313-323
Coauthor Index
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