A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation - Talla-Chumpitaz, R.; Castillo-Cara, M.; Orozco-Barbosa, L.; García-Castro, R. (Information Fusion, 2023)

TINTO: Converting Tidy Data into image for classification with 2-Dimensional Convolutional Neural Networks - Castillo-Cara, M.; Talla-Chumpitaz, R.; García-Castro, R.; Orozco-Barbosa, L. (Softwarex, 2023)

Generative Adversarial Networks for text-to-face synthesis & generation: A quantitative?qualitative analysis of Natural Language Processing encoders for Spanish - Yauri-Lozano, E.; Castillo-Cara, M.; Orozco-Barbosa, L.; García-Castro, R. (Information Processing & Management, 2024)

Clusters of people with type 2 diabetes in the general population: unsupervised machine learning approach using national surveys in Latin America and the Caribbean - Carrillo-Larco, R.M.; Castillo-Cara, M.; Anza-Ramirez, C.; Bernabé-Ortiz, A. (Bmj Open Diabetes Research & Care, 2021)

On the Significance of Graph Neural Networks With Pretrained Transformers in Content-Based Recommender Systems for Academic Article Classification - Liu,J.; Castillo-Cara,M.; García-Castro,R. (Expert Systems, 2025)

MIMO-Based Indoor Localisation With Hybrid Neural Networks: Leveraging Synthetic Images From Tidy Data for Enhanced Deep Learning - Castillo-Cara,M.; Martínez-Gómez,J.; Ballesteros-Jerez,J.; García-Varea,I.; García-Castro,R.; Orozco-Barbosa,L. (Ieee Journal Of Selected Topics In Signal Processing, 2025)

Comparative study of supervised learning and metaheuristic algorithms for the development of bluetooth-based indoor localization mechanisms - Lovon-Melgarejo, J.; Castillo-Cara, M.; Huarcaya-Canal, O.; Orozco-Barbosa, L.; Garcia-Varea, I. (IEEE Access, 2019)

Supervised learning algorithms for indoor localization fingerprinting using BLE4.0 beacons - Lovón-Melgarejo, J.; Castillo-Cara, M.; Bravo-Rocca, G.; Orozco-Barbosa, L.; García-Varea, I. (2017 IEEE Latin American Conference on Computational Intelligence, LA-CCI 2017 - Proceedings, 2018)

FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms - Castillo-Cara, M.; Huaranga-Junco, E.; Quispe-Montesinos, M.; Orozco-Barbosa, L.; Antúnez, E.A. (Journal of Sensors, 2018)

An empirical study of the transmission power setting for bluetooth-based indoor localization mechanisms - Castillo-Cara, M.; Lovón-Melgarejo, J.; Bravo-Rocca, G.; Orozco-Barbosa, L.; García-Varea, I. (Sensors (Switzerland), 2017)

An Analysis of Multiple Criteria and Setups for Bluetooth Smartphone-Based Indoor Localization Mechanism - Castillo-Cara, M.; Lovón-Melgarejo, J.; Bravo-Rocca, G.; Orozco-Barbosa, L.; García-Varea, I. (Journal of Sensors, 2017)

Spatial statistical analysis for the design of indoor particle-filter-based localization mechanisms - Martínez-Gómez, J.; Del Horno, M.M.; Castillo-Cara, M.; Luján, V.M.B.; Barbosa, L.O.; García-Varea, I. (International Journal of Distributed Sensor Networks, 2016)

Ray: Smart Indoor/Outdoor Routes for the Blind Using Bluetooth 4.0 BLE - Castillo-Cara, M.; Huaranga-Junco, E.; Mondragón-Ruiz, G.; Salazar, A.; Barbosa, L.O.; Antúnez, E.A. (Procedia Computer Science, 2016)

Citizen security using machine learning algorithms through open data - Rocca, G.B.; Castillo-Cara, M.; Levano, R.A.; Herrera, J.V.; Orozco-Barbosa, L. (2016 8th IEEE Latin-American Conference on Communications, LATINCOM 2016, 2016)

SAVIA: Smart City Citizen Security Application based on Fog Computing Architecture - Castillo-Cara, M.; Mondragon-Ruiz, G.; Huaranga-Junco, E.; Antunez, E.A.; Orozco-Barbosa, L. (IEEE Latin America Transactions, 2019)

An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications - Mondragón-Ruiz, G.; Tenorio-Trigoso, A.; Castillo-Cara, M.; Caminero, B.; Carrión, C. (Journal of Cloud Computing, 2021)

On the relevance of the metadata used in the semantic segmentation of indoor image spaces - Vasquez-Espinoza, L.; Castillo-Cara, M.; Orozco-Barbosa, L. (Expert Systems with Applications, 2021)

BeeGOns!: A Wireless Sensor Node for Fog Computing in Smart City Applications - Vera-Panez, M.; Cuadros-Claro, K.; Castillo-Cara, M.; Orozco-Barbosa, L. (IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2024)

Phenotypes of Non-Alcoholic Fatty Liver Disease (NAFLD) and All-Cause Mortality: Unsupervised Machine Learning Analysis of NHANES III - Carrillo-Larco, R.M.; Guzman-Vilca, W.C.; Castillo-Cara, M.; Alvizuri-Gómez, C.; Alqahtani, S.; Garcia-Larsen, V. (BMJ Open, 2022)

Street Images Classification According to COVID-19 Risk in Lima, Peru: a Convolutional Neural Networks Feasibility Analysis - Carrillo-Larco, R.M.; Castillo-Cara, M.; Hernández Santa Cruz, J.F. (BMJ Open, 2022)

Development, Validation, and Application of a Machine Learning Model to Estimate Salt Consumption in 54 Countries - Guzman-Vilca, W.C.; Castillo-Cara, M.; Carrillo-Larco, R.M. (eLife, 2022)

Using Country-Level Variables to Classify Countries According to the Number of Confirmed COVID-19 Cases: An Unsupervised Machine Learning Approach - Carrillo-Larco, R.M.; Castillo-Cara, M. (Wellcome Open Research, 2020)

Identificación de zonas de riesgo para la Seguridad Vial mediante algoritmos de aprendizaje no supervisado - Lovón-Melgarejo, J.; Tenorio-Trigoso, A.; Castillo-Cara, M.; Miranda, D. (Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, 2018)

Evaluación, auditoría y desempeño de las políticas públicas de Lima como Smart City según el estándar ISO 3712:2014 - Castillo-Cara, Manuel; Tenorio-Trigoso, Alonso (Revista de Ciencia Política y Gobierno, 2019)

An Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Study - Tenorio-Trigoso, Alonso; Castillo-Cara, Manuel; Mondragón-Ruiz, Giovanny; Carrión, Carmen; Caminero, Blanca (The Computer Journal, 2021)

Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality - Carrillo-Larco, Rodrigo M; Guzman-Vilca, Wilmer Cristobal; Castillo-Cara, Manuel; Alvizuri-Gómez, Claudia; Alqahtani, Saleh A; García-Larsen, Vanessa (Annals of Epidemiology, 2022)

A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes ? An exploratory analysis - Carrillo-Larco, R.M.; Bravo-Rocca, G.; Castillo-Cara, M.; Xu, X.; Bernabe-Ortiz, A. (Primary Care Diabetes, 2024)

Frost forecasting through machine learning algorithms - Pérez Tárraga, J.; Castillo-Cara, M.; Arias-Antúnez, E.; Dujovne, D. (Earth Science Informatics, 2025)

Identification of antibiotic resistance profiles in diabetic foot infections: A machine learning proof-of-concept analysis - Carrillo-Larco,R.M.; de Elvira Mori Orrillo,E.; Castillo-Cara,M.; García,R.; Yovera-Aldana,M.; Bernabe-Ortiz,A. (International Journal of Diabetes in Developing Countries, 2025)

Principles and recommendations to make data.europa.eu data more reusable : a strategy-mapping report - Corcho, Oscar; Ruckhaus, Edna; Garijo, Daniel; Simperl, Elena; Castillo, Manuel (Publications Office of the European Union, 2022)

A comprehensive benchmark of spatial encoding methods for tabular data with deep neural networks - Liu,J.; Castillo-Cara,M.; García-Castro,R. (Information Fusion, 2026)

TINTOlib: A Python library for transforming tabular data into synthetic images for deep neural networks - Liu,J.; González-Fernández,D.; Castillo-Cara,M.; García-Castro,R. (Softwarex, 2025)

Hybrid Neural Network-Based Indoor Localisation System for Mobile Robots Using CSI Data in a Robotics Simulator - Ballesteros-Jerez,J.; Martínez-Gómez,J.; García-Varea,I.; Orozco-Barbosa,L.; Castillo-Cara,M. (Communications in Computer and Information Science, 2026)

PeruMedQA: Benchmarking Large Language Models (LLMs) on Peruvian Medical Exams?Dataset Construction and Evaluation - Carrillo-Larco,R.M.; Lovón-Melgarejo,J.; Castillo-Cara,M.; Bravo-Rocca,G. (Medical Science Educator, 2026)

Government plans in the 2016 and 2021 Peruvian presidential elections: A natural language processing analysis of the health chapters - Carrillo-Larco, Rodrigo M.; Castillo-Cara, Manuel; Lovón-Melgarejo, Jesús (Wellcome Open Research, 2022)

Interpretable CNN?KAN hybrid architectures for tabular data with synthetic image encoding - Mondragon-Ruiz,G.; Liu,J.; Castillo-Cara,M.; García-Castro,R. (INFORMATION PROCESSING & MANAGEMENT, 2026)

Interpretable Hybrid Vision Transformer Architectures for MIMO-Based Indoor Localization using Synthetic Spatial Representations - Liu,J.; Castillo-Cara,M.; García-Castro,R.; Orozco-Barbosa,L. (IEEE Internet of Things Journal, 2026)

PermGrad: Interpretable Hybrid Neural Networks with synthetic images for tabular data - Escalera-González,F.; Castillo-Cara,M.; Rincón-Zamorano,M.; Orozco-Barbosa,L. (Knowledge-Based Systems, 2026)