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Pablo Guillen-Rondon

0000-0003-3944-2669
cs.LGDeep learningBiomarkers, TumorBreast cancerBreast NeoplasmsConvolutional neural networkDeep LearningExtra treesFeature extractionFlow patterns classification

On Valency

published · living versions
W_5mrbqvhb·v1 · currentpublished
Parallel Sparse Identification of Nonlinear Dynamics in Python: Task- and Data-Parallel SINDy with Numba, OpenMP, Threads and Multiprocessing for the Lorenz and Rössler Systems
1 version

Preprints & journals

5 papers in the corpus · 2017–2026
Deep learning approaches for predicting Ki-67 index in breast cancer histopathology images: A systematic review.42070368 · Arteaga-Arteaga, Harold Brayan, Oyola-Martinez, Kenner Adolfo, de la Cruz, Rolando et al.2026 · 1 citationComputers in biology and medicine. 2026;210:111678
Machine learning applications on intratumoral heterogeneity in glioblastoma using single-cell RNA sequencing data.37119295 · Arteaga-Arteaga, Harold Brayan, Candamil-Cortés, Mariana S, Breaux, Brian et al.2023 · 12 citationsBriefings in functional genomics. 2023;22(5):428-441
Machine learning applications to predict two-phase flow patterns.34909465 · Arteaga-Arteaga, Harold Brayan, Mora-Rubio, Alejandro, Florez, Frank et al.2021 · 43 citationsPeerJ. Computer science. 2021;7:e798
Support Vector Machine Application for Multiphase Flow Pattern Prediction1806.05054v1 · Pablo Guillen-Rondon, Melvin D. Robinson, Carlos Torres et al.2018 · 8 citationsarXiv
Deep Learning as a Tool to Predict Flow Patterns in Two-Phase Flow1705.07117v1 · Mohammadmehdi Ezzatabadipour, Parth Singh, Melvin D. Robinson et al.2017 · 13 citationsarXiv
Career total: 15 works. 5 are in this corpus.

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