Spreading of the cultural heritage by means of multi-configurable, low cost virtual reality techniques. - Julián Flores; Juan E. Arias; S. Saavedra; E. Varela; José M. Ferro; José A. Taboada 001 (Eurographics (Short Presentations), 2000)

Mining Constrained Association Rules to Predict Heart Disease. - Carlos Ordonez 001; Edward Omiecinski; Levien de Braal; Cesar A. Santana; Norberto F. Ezquerra; José A. Taboada 001; C. David Cooke; Elizabeth Krawczynska; Ernest V. Garcia (ICDM, 2001)

Estudio de diferentes aproximaciones en la optimización del acceso a datos mediante ADO. - Jorge A. Del Rio; José A. Taboada 001; Pedro Saco; Maria Sordo; Juan E. Arias (JISBD, 2003)

The "Botafumeiro" VR: Virtual Reality in the Liturgy of the Middle Ages. - Julián Flores; José M. Ferro; José A. Taboada 001; Juan E. Arias (Presence Teleoperators Virtual Environ., 2003)

A comparison between functional networks and artificial neural networks for the prediction of fishing catches. - Alfonso Iglesias; Bernardino Arcay Varela; José Manuel Cotos; José A. Taboada 001; Carlos Dafonte (Neural Comput. Appl., 2004)

Rule-based intelligent monitoring and control of marc brandy stills. - Pedro Saco; Julián Flores; José Ángel Taboada González; A. Otero; José Varela 001 (Comput. Chem. Eng., 2006)

Using Data-Mining for Short-Term Rainfall Forecasting. - David Martínez Casas; José Ángel Taboada González; Juan Enrique Arias Rodríguez; José Varela 001 (IWANN (2), 2009)

Anti-Icing Decision Support System Based on a Multi-agent System and Data-Mining. - David Martínez Casas; José Ángel Taboada González; Juan Enrique Arias Rodríguez; Sebastián Villarroya Fernández (DCAI, 2011)

MappingSets for Spatial Observation Data Warehouses. - José Ramon Rios Viqueira; David Martínez Casas; Sebastián Villarroya; José A. Taboada 001 (IMMoA, 2013)

Heterogeneous sensor data integration for crowdsensing applications. - Sebastián Villarroya; David Martínez Casas; Moisés Vilar; José Ramon Rios Viqueira; José A. Taboada 001; José Manuel Cotos (IDEAS, 2014)

Common Data Model in AmI Environments. - David Martínez Casas; Sebastián Villarroya Fernández; Moisés Vilar Vidal; José Manuel Cotos Yáñez; José Ramon Rios Viqueira; José Ángel Taboada González (UCAmI, 2014)

Virtual integration of sensor observation data. - Manuel A. Regueiro; José Ramon Rios Viqueira; José A. Taboada 001; José Manuel Cotos (Comput. Geosci., 2015)

Erratum to "Virtual integration of sensor observation data [Comput. Geosci. 81 (2015) 12-19]. - Manuel A. Regueiro; José Ramon Rios Viqueira; José A. Taboada 001; José Manuel Cotos (Comput. Geosci., 2015)

Sensor Observation Service Semantic Mediation: Generic Wrappers for In-Situ and Remote Devices. - Manuel A. Regueiro; José Ramon Rios Viqueira; Christoph Stasch; José A. Taboada 001 (ER, 2016)

SODA: A framework for spatial observation data analysis. - Sebastián Villarroya; José Ramon Rios Viqueira; Manuel A. Regueiro; José A. Taboada 001; José Manuel Cotos (Distributed Parallel Databases, 2016)

Comparative Study of Artificial Neural Network Models for Forecasting the Indoor Temperature in Smart Buildings. - Sadi Alawadi; David Mera; Manuel Fernández Delgado; José A. Taboada 001 (Smart-CT, 2017)

Semantic mediation of observation datasets through Sensor Observation Services. - Manuel A. Regueiro; José Ramon Rios Viqueira; Christoph Stasch; José A. Taboada 001 (Future Gener. Comput. Syst., 2017)

Assessing the Influence of Size Category of the Project in God Class Detection, an Experimental Approach based on Machine Learning. - Khalid Alkharabsheh; Yania Crespo; Manuel Fernández Delgado; José Manuel Cotos; José A. Taboada 001 (SEKE, 2019)

Uma utilidade para o reconhecimento de topónimos em documentos medievais. - Xavier Canosa; Pablo Gamallo 001; Xavier Varela; José Ángel Taboada; Paulo Martínez Lema; Marcos García 001 (Linguamática, 2019)

Software Design Smell Detection: a systematic mapping study. - Khalid Alkharabsheh; Yania Crespo; M. Esperanza Manso; José A. Taboada 001 (Softw. Qual. J., 2019)

Analysing Agreement Among Different Evaluators in God Class and Feature Envy Detection. - Khalid Alkharabsheh; Sadi Alawadi; Yania Crespo; M. Esperanza Manso; José A. Taboada 001 (IEEE Access, 2021)

Exploratory study of the impact of project domain and size category on the detection of the God class design smell. - Khalid Alkharabsheh; Yania Crespo; Manuel Fernández Delgado; José R. R. Viqueira; José A. Taboada 001 (Softw. Qual. J., 2021)

Enabling Efficient Distributed Spatial Join on Large Scale Vector-Raster Data Lakes. - Sebastián Villarroya; José R. R. Viqueira; José Manuel Cotos; José A. Taboada 001 (IEEE Access, 2022)

A comparison of machine learning algorithms on design smell detection using balanced and imbalanced dataset: A study of God class. - Khalid Alkharabsheh; Sadi Alawadi; Victor R. Kebande; Yania Crespo; Manuel Fernández Delgado; José A. Taboada 001 (Inf. Softw. Technol., 2022)

Prioritization of god class design smell: A multi-criteria based approach. - Khalid Alkharabsheh; Sadi Alawadi; Karam Ignaim; Nabeel Zanoon; Yania Crespo; M. Esperanza Manso; José Ángel Taboada González (J. King Saud Univ. Comput. Inf. Sci., 2022)

Architecture proposal for adding FOG processing capability to a Smart Building Management System. - David Martínez Casas; Andrea Rey Presas; José Manuel Cotos Yáñez; José Ángel Taboada González (FMEC, 2024)