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astro-ph.COCOVID-19Machine learningArtificial intelligenceDengueClinical decision-support systemcs.SIData analysisExplainability analysisphysics.soc-ph

On Valency

published · living versions
W_aj3np682·v1 · currentpublished
DESI 2024 II: Sample Definitions, Characteristics, and Two-point Clustering Statistics
with DESI Collaboration, A. G. Adame, S. Ahlen, S. Alam +198
1 version

Preprints & journals

30 papers in the corpus · 1998–2025
Modeling of the High Column Density systems in The Lyman-Alpha Forest2506.13005v3 · T. Tan, J. Rich, E. Chaussidon et al.2025 · 1 citationarXiv
An explainable analysis of diabetes mellitus using statistical and artificial intelligence techniques.39695649 · Hoyos, William, Hoyos, Kenia, Ruiz, Rander et al.2024 · 11 citationsBMC medical informatics and decision making. 2024;24(1):383
DESI 2024 II: Sample Definitions, Characteristics, and Two-point Clustering Statistics2411.12020v1 · A. G. Adame, J. Aguilar, S. Ahlen et al.2024 · 89 citationsJCAP 07 (2025) 017on Valency
Error Bounds for the Network Scale-Up Method2407.10640v3 · Sergio D'iaz-Aranda, Juan Marcos Ram'irez, Mohit Daga et al.2024 · 1 citationarXiv
Fiducial-Cosmology-dependent systematics for the DESI 2024 BAO Analysis2406.06085v2 · A. P'erez-Fern'andez, L. Medina-Varela, R. Ruggeri et al.2024 · 24 citationsJCAP01(2025)144
Full Modeling and Parameter Compression Methods in configuration space for DESI 2024 and beyond2404.07268v2 · S. Ramirez-Solano, M. Icaza-Lizaola, H. E. Noriega et al.2024 · 20 citationsarXiv
Comparing Compressed and Full-modeling Analyses with FOLPS: Implications for DESI 2024 and beyond2404.07269v3 · H. E. Noriega, A. Aviles, H. Gil-Mar'in et al.2024 · 29 citationsarXiv
Performance and explainability of feature selection-boosted tree-based classifiers for COVID-19 detection.38170121 · Rufino, Jesús, Ramírez, Juan Marcos, Aguilar, Jose et al.2024 · 6 citationsHeliyon. 2024;10(1):e23219
Case studies of clinical decision-making through prescriptive models based on machine learning.37837889 · Hoyos, William, Aguilar, Jose, Raciny, Mayra et al.2023 · 10 citationsComputer methods and programs in biomedicine. 2023;242:107829
Nowcasting Temporal Trends Using Indirect Surveys2307.06643v2 · Ajitesh Srivastava, Juan Marcos Ram'irez, Sergio D'iaz-Aranda et al.2023 · 3 citationsarXiv
Consistent comparison of symptom-based methods for COVID-19 infection detection.37393765 · Rufino, Jesús, Ramírez, Juan Marcos, Aguilar, Jose et al.2023 · 6 citationsInternational journal of medical informatics. 2023;177:105133
An autonomous cycle of data analysis tasks for the clinical management of dengue.36203901 · Hoyos, William, Aguilar, Jose, Toro, Mauricio2022 · 15 citationsHeliyon. 2022;8(10):e10846
Analysis of the socioeconomic impact due to COVID-19 using a deep clustering approach.36092471 · Quintero, Yullys, Ardila, Douglas, Aguilar, Jose et al.2022 · 7 citationsApplied soft computing. 2022;129:109606
A clinical decision-support system for dengue based on fuzzy cognitive maps.35971038 · Hoyos, William, Aguilar, Jose, Toro, Mauricio2022 · 49 citationsHealth care management science. 2022;25(4):666-681
An incremental learning approach to prediction models of SEIRD variables in the context of the COVID-19 pandemic.35499039 · Camargo, E, Aguilar, J, Quintero, Y et al.2022 · 17 citationsHealth and technology. 2022;12(4):867-877
Ontological engineering for the definition of a COVID-19 pandemic ontology.34934805 · González-Eras, Alexandra, Santos, Ricardo Dos, Aguilar, Jose et al.2023 · 12 citationsInformatics in medicine unlocked. 2022;28:100816
Dengue models based on machine learning techniques: A systematic literature review.34531010 · Hoyos, William, Aguilar, Jose, Toro, Mauricio2021 · 72 citationsArtificial intelligence in medicine. 2021;119:102157
Analysis of different affective state multimodal recognition approaches with missing data-oriented to virtual learning environments.34189306 · Salazar, Camilo, Montoya-Múnera, Edwin, Aguilar, Jose2021 · 16 citationsHeliyon. 2021;7(6):e07253
Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables.34052570 · Quintero, Yullis, Ardila, Douglas, Camargo, Edgar et al.2021 · 35 citationsComputers in biology and medicine. 2021;134:104500
Recognition of the Driving Style in Vehicle Drivers.32370223 · Cordero, Jorge, Aguilar, Jose, Aguilar, Kristell et al.2020 · 50 citationsSensors (Basel, Switzerland). 2020;20(9)
Adaptive learning objects in the context of eco-connectivist communities using learning analytics.31763467 · Diego, Mosquera, Carlos, Guevara, Jose, Aguilar2020 · 14 citationsHeliyon. 2019;5(11):e02722
Measuring the Complexity of Self-organizing Traffic Lights1402.0197v1 · Dario Zubillaga, Geovany Cruz, Luis Daniel Aguilar et al.2014 · 62 citationsEntropy, 16(5):2384-2407. 2014
Understanding the transmission dynamics of respiratory syncytial virus using multiple time series and nested models.17335858 · White, L J, Mandl, J N, Gomes, M G M et al.2007 · 87 citationsMathematical biosciences. 2007;209(1):222-39
Detection and identification of human parainfluenza viruses 1, 2, 3, and 4 in clinical samples of pediatric patients by multiplex reverse transcription-PCR.10699020 · Aguilar, J C, Pérez-Breña, M P, García, M L et al.2000 · 128 citationsJournal of clinical microbiology. 2000;38(3):1191-5
Definition of an energy function for the random neural to solve optimization problems.12662811 · Jose, Aguilar2019 · 41 citationsNeural networks : the official journal of the International Neural Network Society. 1998;11(4):731-737
Career total: at least 609 works. 30 are in this corpus.

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