Nicandro Cruz-Ramírez

Universidad Veracruzana — Mexico

Computer Science · Physical Sciences

13h-index604citations65works0.52yr avg
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Research Topics

Bayesian Modeling and Causal Inference(18), Data Mining Algorithms and Applications(10), Metaheuristic Optimization Algorithms Research(9), Data Stream Mining Techniques(7), Advanced Multi-Objective Optimization Algorithms(6)

Publications65 total

A Study of Gene Expression Levels of Parkinson’s Disease Using Machine Learning
BioMedInformatics·2025Open Access
Decision Trees for the Analysis of Gene Expression Levels of COVID-19: An Association with Alzheimer’s Disease
BioMedInformatics·2025· 1 citedOpen Access
Causal Analysis to Explain the Performance of Algorithms: A Case Study for the Bin Packing Problem
Mathematical and Computational Applications·2024· 1 citedOpen Access
ClassNoise: An R package for modeling, generating, and validating data with class noise
SoftwareX·2024Open Access
A Bayesian Network Framework to Study Class Noise: Exploring the Filtering of Completely Random Noise
Frontiers in artificial intelligence and applications·2023Open Access
dplbnDE: An R package for discriminative parameter learning of Bayesian Networks by Differential Evolution
SoftwareX·2023Open Access
A survey on agent‐based modelling assisted by machine learning
Expert Systems·2023· 7 citedOpen Access
Agent-Based Models Assisted by Supervised Learning: A Proposal for Model Specification
Electronics·2023· 7 citedOpen Access
An Experimental Study of Grouping Mutation Operators for the Unrelated Parallel-Machine Scheduling Problem
Mathematical and Computational Applications·2023· 4 citedOpen Access
dplbnDE: An R Package for Discriminative Parameter Learning of Bayesian Networks by Differential Evolution
SSRN Electronic Journal·2023Open Access
Wearables for Engagement Detection in Learning Environments: A Review
Biosensors·2022· 53 citedOpen Access
A Model for Learning Cause-Effect Relationships in Bayesian Networks
Studies in computational intelligence·2022
Full Model Selection Problem and Pipelines for Time-Series Databases: Contrasting Population-Based and Single-point Search Metaheuristics
Ingeniería e Investigación·2021· 2 citedOpen Access
Emotion Detection from Text in Learning Environments: A Review
Studies in computational intelligence·2021· 4 cited
Discriminative learning of bayesian network parameters by differential evolution
Applied Mathematical Modelling·2020· 10 cited
Windowing as a Sub-Sampling Method for Distributed Data Mining
Mathematical and Computational Applications·2020· 2 citedOpen Access
Data-Driven Bayesian Network Learning: A Bi-Objective Approach to Address the Bias-Variance Decomposition
Mathematical and Computational Applications·2020· 6 citedOpen Access
Discriminative Parameter Learning of Bayesian Networks Using Differential Evolution: A Preliminary Analysis.
2020· 1 cited
Towards an Agent-Based Model for the Analysis of Macroeconomic Signals
Studies in computational intelligence·2020· 1 cited
Data-Driven Bayesian Network Learning: Towards a Bi-Objective Approach to Address the Bias-Variance Decomposition.
2020
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Frequent Co-authors

Héctor‐Gabriel Acosta‐Mesa(19), Efrén Mezura‐Montes(19), Alejandro Guerra‐Hernández(14), Rodolfo Hernández-Jiménez(7), Karina Gutiérrez-Fragoso(5), Francisco Grimaldo(5), Alejandro Platas‐López(5), Marcela Quiróz-Castellanos(5), Nancy Pérez-Castro(4), Rocío-Erandi Barrientos-Martínez(4), Xavier Limón(4), Humberto Carrillo-Calvet(3), Laura Nely Sánchez-Morales(3), Giner Alor‐Hernández(3), María-Yaneli Ameca-Alducin(3), Luis Alonso Nava-Fernández(2), Rocío Erandi Barrientos-Martínez(2), Ameca-Alducin María Yaneli(2), Martín-Del-Campo-Mena Enrique(2), Acosta-Mesa Héctor Gabriel(2)