Crime Detection via Crowdsourcing. - Daniel L. Pimentel-Alarcón; Claudia R. Solís-Lemus (MCPR, 2016)

Adversarial principal component analysis. - Daniel L. Pimentel-Alarcón; Aritra Biswas; Claudia R. Solís-Lemus (ISIT, 2017)

Breaking the Limits of Subspace Inference. - Claudia R. Solís-Lemus; Daniel L. Pimentel-Alarcón (Allerton, 2018)

Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural Networks. - Yuren Sun; Tatiana Midori Maeda; Claudia R. Solís-Lemus; Daniel L. Pimentel-Alarcón; Zuzana Burivalova (CoRR, 2021)

Towards a robust out-of-the-box neural network model for genomic data. - Zhaoyi Zhang; Songyang Cheng; Claudia R. Solís-Lemus (BMC Bioinform., 2022)

Human Limits in Machine Learning: Prediction of Plant Phenotypes Using Soil Microbiome Data. - Rosa Aghdam; Xudong Tang; Shan Shan; Richard Lankau; Claudia R. Solís-Lemus (CoRR, 2023)

Machine learning identification of Pseudomonas aeruginosa strains from colony image data. - 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 (PLoS Comput. Biol., 2023)

MiNAA: Microbiome Network Alignment Algorithm. - Reed Nelson; Rosa Aghdam; Claudia R. Solís-Lemus (J. Open Source Softw., 2024)

Human limits in machine learning: prediction of potato yield and disease using soil microbiome data. - Rosa Aghdam; Xudong Tang; Shan Shan; Richard Lankau; Claudia R. Solís-Lemus (BMC Bioinform., 2024)

HighDimMixedModels.jl: Robust high-dimensional mixed-effects models across omics data. - Evan Gorstein; Rosa Aghdam; Claudia R. Solís-Lemus (PLoS Comput. Biol., 2025)