Data mining toolkit for extraction of knowledge from LMS. - William Eduardo Villegas-Ch.; Sergio Luján-Mora; Diego Buenaño-Fernández (ICETC, 2017)

Improvement of massive open online courses by text mining of students' emails: a case study. - Diego Buenaño-Fernández; Sergio Luján-Mora; William Eduardo Villegas-Ch. (TEEM, 2017)

Big Data, the Next Step in the Evolution of Educational Data Analysis. - William Eduardo Villegas-Ch.; Sergio Luján-Mora; Diego Buenaño-Fernández; Xavier Palacios-Pacheco (ICITS, 2018)

Performance Data Analysis for Parallel Processing Using Bigdata Distribution. - Iván Ortiz-Garcés; Nicolás Yánez; William Eduardo Villegas-Ch. (ICITS, 2019)

The use of tools of data mining to decision making in engineering education - A systematic mapping study. - Diego Buenaño-Fernández; William Eduardo Villegas-Ch.; Sergio Luján-Mora (Comput. Appl. Eng. Educ., 2019)

An Internet of Things Model for Improving Process Management on University Campus. - William Eduardo Villegas-Ch.; Xavier Palacios-Pacheco; Milton Román Cañizares (Future Internet, 2020)

Proposal for an Implementation Guide for a Computer Security Incident Response Team on a University Campus. - William Eduardo Villegas-Ch.; Iván Ortiz-Garcés; Santiago Sánchez-Viteri (Comput., 2021)

Implementation of a Virtual Assistant for the Academic Management of a University with the Use of Artificial Intelligence. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Karen Mullo-Ca; Santiago Sánchez-Viteri; Milton Román Cañizares (Future Internet, 2021)

Analysis of the State of Learning in University Students with the Use of a Hadoop Framework. - William Eduardo Villegas-Ch.; Milton Román Cañizares; Santiago Sánchez-Viteri; Joselin García-Ortiz; Walter Gaibor-Naranjo (Future Internet, 2021)

Academic Activities Recommendation System for Sustainable Education in the Age of COVID-19. - William Eduardo Villegas-Ch.; Santiago Sánchez-Viteri; Milton Román Cañizares (Informatics, 2021)

Proposal of a remote education model with the integration of an ICT architecture to improve learning management. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Milton Román Cañizares; Santiago Sánchez-Viteri (PeerJ Comput. Sci., 2021)

Model for the Detection of Falls with the Use of Artificial Intelligence as an Assistant for the Care of the Elderly. - William Eduardo Villegas-Ch.; Santiago Barahona-Espinosa; Walter Gaibor-Naranjo; Aracely Mera-Navarrete (Comput., 2022)

Proposal of a Model for the Analysis of the State of the Use of ICT in Education Applied to Technological Institutes of Higher Education. - William Eduardo Villegas-Ch.; Santiago Jácome-Vásconez; Joselin García-Ortiz; Javier Calvache-Sánchez; Santiago Sánchez-Viteri (Comput., 2022)

Analysis of Data from Surveys for the Identification of the Factors That Influence the Migration of Small Companies to eCommerce. - William Eduardo Villegas-Ch.; Santiago Criollo-C; Walter Gaibor-Naranjo; Xavier Palacios-Pacheco (Future Internet, 2022)

Assistance System for the Teaching of Natural Numbers to Preschool Children with the Use of Artificial Intelligence Algorithms. - William Eduardo Villegas-Ch.; Angel Jaramillo-Alcázar; Aracely Mera-Navarrete (Future Internet, 2022)

Identification of the Consequences of COVID-19 through the Analysis of Data Obtained in Surveys of a Specific Population. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Iván Ortiz-Garcés; Santiago Sánchez-Viteri (Informatics, 2022)

Proposal of a Method for the Analysis of Sentiments in Social Networks with the Use of R. - William Eduardo Villegas-Ch.; Sofía Molina; Víctor De Janón; Estevan Montalvo; Aracely Mera-Navarrete (Informatics, 2022)

Proposal for the Analysis of the State of Learning in University Students with the Inclusion of ICT in the Classroom. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Santiago Sánchez-Viteri (Inf., 2022)

Identification of Emotions From Facial Gestures in a Teaching Environment With the Use of Machine Learning Techniques. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Santiago Sánchez-Viteri (IEEE Access, 2023)

Design Proposal for a Virtual Shopping Assistant for People with Vision Problems Applying Artificial Intelligence Techniques. - William Eduardo Villegas-Ch.; Rodrigo Amores-Falconi; Eduardo Coronel-Silva (Big Data Cogn. Comput., 2023)

An Approach Based on Recurrent Neural Networks and Interactive Visualization to Improve Explainability in AI Systems. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Angel Jaramillo-Alcázar (Big Data Cogn. Comput., 2023)

Detection of Abnormal Patterns in Children's Handwriting by Using an Artificial-Intelligence-Based Method. - William Eduardo Villegas-Ch.; Isabel Urbina-Camacho; Joselin García-Ortiz (Informatics, 2023)

Data Analysis Model for the Evaluation of the Factors That Influence the Teaching of University Students. - William Eduardo Villegas-Ch.; Aracely Mera-Navarrete; Joselin García-Ortiz (Comput., 2023)

Prototype of an Emergency Response System Using IoT in a Fog Computing Environment. - Iván Ortiz-Garcés; Roberto O. Andrade; Santiago Sánchez-Viteri; William Eduardo Villegas-Ch. (Comput., 2023)

Proposal for a System for the Identification of the Concentration of Students Who Attend Online Educational Models. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Isabel Urbina-Camacho; Aracely Mera-Navarrete (Comput., 2023)

A Comprehensive Approach to Image Protection in Digital Environments. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Jaime Govea (Comput., 2023)

Enhancing Learning Personalization in Educational Environments through Ontology-Based Knowledge Representation. - William Eduardo Villegas-Ch.; Joselin García-Ortiz (Comput., 2023)

Optimization and Scalability of Educational Platforms: Integration of Artificial Intelligence and Cloud Computing. - Jaime Govea; Ernesto Ocampo Edye; Solange Revelo-Tapia; William Eduardo Villegas-Ch. (Comput., 2023)

Anomaly Detection in a Smart Industrial Machinery Plant Using IoT and Machine Learning. - Angel Jaramillo-Alcázar; Jaime Govea; William Eduardo Villegas-Ch. (Sensors, 2023)

Tamper Detection in Industrial Sensors: An Approach Based on Anomaly Detection. - William Eduardo Villegas-Ch.; Jaime Govea; Angel Jaramillo-Alcázar (Sensors, 2023)

Application of Deep Learning Models for Real-Time Automatic Malware Detection. - Rommel Gutierrez; William Eduardo Villegas-Ch.; Lorena Naranjo Godoy; Aracely Mera-Navarrete; Sergio Luján-Mora (IEEE Access, 2024)

Application of Artificial Intelligence in Online Education: Influence of Student Participation on Academic Retention in Virtual Courses. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Santiago Sánchez-Viteri (IEEE Access, 2024)

Educational Advances in the Metaverse: Boosting Learning Through Virtual and Augmented Reality and Artificial Intelligence. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Santiago Sánchez-Viteri (IEEE Access, 2024)

Optimizing Automated Educational Systems: Adaptive Syllabus Generation and Precise Assessment Using Artificial Intelligence. - William Eduardo Villegas-Ch.; Jaime Govea; Roque Albuja; Diego Buenaño-Fernández; Aracely Mera-Navarrete (IEEE Access, 2024)

Optimizing Language Model-Based Educational Assistants Using Knowledge Graphs: Integration With Moodle LMS. - William Eduardo Villegas-Ch.; Jaime Govea; Rommel Gutierrez (IEEE Access, 2024)

Improving Interaction and Assessment in Hybrid Educational Environments: An Integrated Approach in Microsoft Teams With the Use of AI Techniques. - William Eduardo Villegas-Ch.; Jaime Govea; Rommel Gutierrez; Aracely Mera-Navarrete (IEEE Access, 2024)

Virtual Reality Simulations for Skills Training: Improving Learning Through Immersive Experiences in Educational Environments. - William Eduardo Villegas-Ch.; Jaime Govea; Lorena Naranjo Godoy; Aracely Mera-Navarrete (IEEE Access, 2024)

Effectiveness of an Adaptive Deep Learning-Based Intrusion Detection System. - William Eduardo Villegas-Ch.; Jaime Govea; Rommel Gutierrez; Alexandra Maldonado Navarro; Aracely Mera-Navarrete (IEEE Access, 2024)

Evaluating Neural Network Models for Word Segmentation in Agglutinative Languages: Comparison With Rule-Based Approaches and Statistical Models. - William Eduardo Villegas-Ch.; Rommel Gutierrez; Alexandra Maldonado Navarro; Aracely Mera-Navarrete (IEEE Access, 2024)

Optimizing Federated Learning on TinyML Devices for Privacy Protection and Energy Efficiency in IoT Networks. - William Eduardo Villegas-Ch.; Rommel Gutierrez; Alexandra Maldonado Navarro; Aracely Mera-Navarrete (IEEE Access, 2024)

Toward Intelligent Monitoring in IoT: AI Applications for Real-Time Analysis and Prediction. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Santiago Sánchez-Viteri (IEEE Access, 2024)

Personalization of Learning: Machine Learning Models for Adapting Educational Content to Individual Learning Styles. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Santiago Sánchez-Viteri (IEEE Access, 2024)

Corrections to "Toward Intelligent Monitoring in IoT: AI Applications for Real-Time Analysis and Prediction". - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Santiago Sánchez-Viteri (IEEE Access, 2024)

Optimizing Writing Skills in Children Using a Real-Time Feedback System Based on Machine Learning. - William Eduardo Villegas-Ch.; Joselin García-Ortiz; Santiago Sánchez-Viteri (IEEE Access, 2024)

Adaptive Security Framework for the Internet of Things: Improving Threat Detection and Energy Optimization in Distributed Environments. - William Eduardo Villegas-Ch.; Rommel Gutierrez; Iván Sánchez-Salazar; Aracely Mera-Navarrete (IEEE Access, 2024)

Real-Time Recognition and Tracking in Urban Spaces Through Deep Learning: A Case Study. - William Eduardo Villegas-Ch.; Santiago Sánchez-Viteri; Sergio Luján-Mora (IEEE Access, 2024)

Multimodal AI techniques for pain detection: integrating facial gesture and paralanguage analysis. - Rommel Gutierrez; Joselin García-Ortiz; William Eduardo Villegas-Ch. (Frontiers Comput. Sci., 2024)

Authentication, access, and monitoring system for critical areas with the use of artificial intelligence integrated into perimeter security in a data center. - William Eduardo Villegas-Ch.; Joselin García-Ortiz (Frontiers Big Data, 2024)

Transparency and precision in the age of AI: evaluation of explainability-enhanced recommendation systems. - Jaime Govea; Rommel Gutierrez; William Eduardo Villegas-Ch. (Frontiers Artif. Intell., 2024)

Implementation of deep reinforcement learning models for emotion detection and personalization of learning in hybrid educational environments. - Jaime Govea; Alexandra Maldonado Navarro; Santiago Sánchez-Viteri; William Eduardo Villegas-Ch. (Frontiers Artif. Intell., 2024)

Advancing smart city factories: enhancing industrial mechanical operations via deep learning techniques. - William Eduardo Villegas-Ch.; Jaime Govea; Walter Gaibor-Naranjo; Santiago Sánchez-Viteri (Frontiers Artif. Intell., 2024)

Optimization of inventory management through computer vision and machine learning technologies. - William Eduardo Villegas-Ch.; Alexandra Maldonado Navarro; Santiago Sánchez-Viteri (Intell. Syst. Appl., 2024)

CyberEduPlatform: an educational tool to improve cybersecurity through anomaly detection with Artificial Intelligence. - Iván Ortiz-Garcés; Jaime Govea; Santiago Sánchez-Viteri; William Eduardo Villegas-Ch. (PeerJ Comput. Sci., 2024)

Transforming Cybersecurity into Critical Energy Infrastructure: A Study on the Effectiveness of Artificial Intelligence. - Jaime Govea; Walter Gaibor-Naranjo; William Eduardo Villegas-Ch. (Syst., 2024)

Evaluating the Robustness of Deep Learning Models against Adversarial Attacks: An Analysis with FGSM, PGD and CW. - William Eduardo Villegas-Ch.; Angel Jaramillo-Alcázar; Sergio Luján-Mora (Big Data Cogn. Comput., 2024)

Integration of Data and Predictive Models for the Evaluation of Air Quality and Noise in Urban Environments. - Jaime Govea; Walter Gaibor-Naranjo; Santiago Sánchez-Viteri; William Eduardo Villegas-Ch. (Sensors, 2024)

Securing Critical Infrastructure with Blockchain Technology: An Approach to Cyber-Resilience. - Jaime Govea; Walter Gaibor-Naranjo; William Eduardo Villegas-Ch. (Comput., 2024)

Application of Deep Learning Techniques for the Optimization of Industrial Processes Through the Fusion of Sensory Data. - William Eduardo Villegas-Ch.; Walter Gaibor-Naranjo; Santiago Sánchez-Viteri (Int. J. Comput. Intell. Syst., 2024)

Hybrid AI for Predictive Cyber Risk Assessment: Federated Graph-Transformer Architecture With Explainability. - Jaime Govea; Rommel Gutierrez; William Eduardo Villegas-Ch.; Alexandra Maldonado Navarro (IEEE Access, 2025)

Optimizing Problem-Solving in Technical Education: An Adaptive Learning System Based on Artificial Intelligence. - Rommel Gutierrez; William Eduardo Villegas-Ch.; Alexandra Maldonado Navarro; Sergio Luján-Mora (IEEE Access, 2025)

Automating the Design of Scalable and Efficient IoT Architectures Using Generative Adversarial Networks and Model-Based Engineering for Industry 4.0. - William Eduardo Villegas-Ch.; Jaime Govea; Diego Buenaño-Fernández; Aracely Mera-Navarrete (IEEE Access, 2025)

Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection. - William Eduardo Villegas-Ch.; Jaime Govea; Rommel Gutierrez; Aracely Mera-Navarrete (IEEE Access, 2025)

Multimodal Emotional Detection System for Virtual Educational Environments: Integration Into Microsoft Teams to Improve Student Engagement. - William Eduardo Villegas-Ch.; Rommel Gutierrez; Aracely Mera-Navarrete (IEEE Access, 2025)

Optimization of the Traceability of Perishable Products Through Light Blockchain and IoT in the Food Industry. - William Eduardo Villegas-Ch.; Jaime Govea; Pablo Santiago Moncayo-Moncayo; Alexandra Maldonado Navarro; Carlos Chavez-Pirca (IEEE Access, 2025)

Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks. - William Eduardo Villegas-Ch.; Jaime Govea; Alexandra Maldonado Navarro; Pablo Palacios Játiva (IEEE Access, 2025)

Lightweight Blockchain for Authentication and Authorization in Resource-Constrained IoT Networks. - William Eduardo Villegas-Ch.; Rommel Gutierrez; Alexandra Maldonado Navarro; Aracely Mera-Navarrete (IEEE Access, 2025)

Integrating Explainable Artificial Intelligence in Anomaly Detection for Threat Management in E-Commerce Platforms. - William Eduardo Villegas-Ch.; Angel Jaramillo-Alcázar; Alexandra Maldonado Navarro; Aracely Mera-Navarrete (IEEE Access, 2025)

Use of granular computing for resource optimization in IoT networks. - Jaime Govea; Rommel Gutierrez; William Eduardo Villegas-Ch. (Frontiers Commun. Networks, 2025)

Using Generative Adversarial Networks for the synthesis of emotional facial expressions in virtual educational environments. - William Eduardo Villegas-Ch.; Alexandra Maldonado Navarro; Araceli Mera-Navarrete (Intell. Syst. Appl., 2025)

The Use of Interactive Narratives in Educational Games to Assess Vocational Interests: An Application of the RIASEC Test Integrated With OpenAI. - Rommel Gutierrez; Alexandra Maldonado Navarro; William Eduardo Villegas-Ch.; Aracely Mera-Navarrete (IEEE Trans. Learn. Technol., 2025)

Adaptive Authentication and Access Control System in Dynamic Educational Environments Based on AI. - William Eduardo Villegas-Ch.; Rommel Gutierrez; Alexandra Maldonado Navarro; Aracely Mera-Navarrete (Computer, 2025)

Explainable educational assistant integrated in Moodle: automated semantic assessment and adaptive tutoring based on NLP and XAI. - William Eduardo Villegas-Ch.; Rommel Gutierrez; Joselin García-Ortiz; Vanessa Guevara (Discov. Artif. Intell., 2025)

Adaptive intelligent tutoring systems for STEM education: analysis of the learning impact and effectiveness of personalized feedback. - William Eduardo Villegas-Ch.; Diego Buenaño-Fernández; Alexandra Maldonado Navarro; Aracely Mera-Navarrete (Smart Learn. Environ., 2025)