Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process. - Rodolfo E. Haber; Michael Schmittdiel; Angel Alique; Andrés Bustillo; Ramón Galán (IWANN, 2007)

Conventional Methods and AI models for Solving an Industrial an Industrial Problem. - Andrés Bustillo; Javier Sedano; José Ramón Villar 001; Leticia Curiel; Emilio Corchado (EMS, 2008)

AI for Modelling the Laser Milling of Copper Components. - Andrés Bustillo; Javier Sedano; José Ramón Villar 001; Leticia Curiel; Emilio Corchado (IDEAL, 2008)

A Soft Computing System to Perform Face Milling Operations. - Raquel Redondo; Pedro Santos; Andrés Bustillo; Javier Sedano; José Ramón Villar 001; Maritza Correa; José Ramón Alique; Emilio Corchado (IWANN (2), 2009)

A Soft Computing System for Modelling the Manufacture of Steel Components. - Andrés Bustillo; Javier Sedano; Leticia Curiel; José Ramón Villar 001; Emilio Corchado (Computer Recognition Systems 3, 2009)

Final Year Project Management Process. - Carlos López Nozal; David H. Martin; Andrés Bustillo; Raúl Marticorena Sánchez (CSEDU (2), 2010)

Using Ensembles of Regression Trees to Monitor Lubricating Oil Quality. - Andrés Bustillo; Alberto Villar; Eneko Gorritxategi; Susana Ferreiro; Juan José Rodríguez (IEA/AIE (1), 2011)

GRASP Forest: A New Ensemble Method for Trees. - José-Francisco Díez-Pastor; César Ignacio García-Osorio; Juan José Rodríguez; Andrés Bustillo (MCS, 2011)

Modelling of process parameters in laser polishing of steel components using ensembles of regression trees. - Andrés Bustillo; Eneko Ukar; Juan José Rodríguez; Aitzol Lamikiz (Int. J. Comput. Integr. Manuf., 2011)

A Virtual Sensor for Online Fault Detection of Multitooth-Tools. - Andrés Bustillo; Maritza Correa; Aníbal Reñones (Sensors, 2011)

Wind Turbines Fault Diagnosis Using Ensemble Classifiers. - Pedro Santos; Luisa F. Villa; Aníbal Reñones; Andrés Bustillo; Jesús Maudes (ICDM, 2012)

Improvement of surface roughness models for face milling operations through dimensionality reduction. - Maciej Grzenda; Andrés Bustillo; Guillem Quintana; Joaquim Ciurana (Integr. Comput. Aided Eng., 2012)

Prediction, monitoring and control of surface roughness in high-torque milling machine operations. - Guillem Quintana; Andrés Bustillo; Joaquim Ciurana (Int. J. Comput. Integr. Manuf., 2012)

Using artificial intelligence to predict surface roughness in deep drilling of steel components. - Andrés Bustillo; Maritza Correa (J. Intell. Manuf., 2012)

Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process. - Agustín Gajate; Rodolfo E. Haber; Raúl M. del Toro; Pastora I. Vega; Andrés Bustillo (J. Intell. Manuf., 2012)

A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling. - Maciej Grzenda; Andrés Bustillo; Pawel Zawistowski (J. Intell. Manuf., 2012)

Boosting Projections to improve surface roughness prediction in high-torque milling operations. - José-Francisco Díez-Pastor; Andrés Bustillo; Guillem Quintana; César Ignacio García-Osorio (Soft Comput., 2012)

Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques. - Pedro Santos; Jesús Maudes; Andrés Bustillo; Juan José Rodríguez (IEA/AIE, 2013)

Towards higher machine-tool eco-efficiency with an Information Sharing Platform. - Andrés Bustillo; Julien Negre; Iñigo Lazcanotegui (IECON, 2013)

The evolutionary development of roughness prediction models. - Maciej Grzenda; Andrés Bustillo (Appl. Soft Comput., 2013)

Online breakage detection of multitooth tools using classifier ensembles for imbalanced data. - Andrés Bustillo; Juan José Rodríguez Diez (Int. J. Syst. Sci., 2014)

A flexible platform for the creation of 3D semi-immersive environments to teach Cultural Heritage. - Andrés Bustillo; Mario Alaguero; Ines Miguel; Jose M. Saiz; Lena S. Iglesias (Digit. Appl. Archaeol. Cult. Heritage, 2015)

New methodology for the design of ultra-light structural components for machine tools. - Andrés Bustillo; Ibone Oleaga; Juan J. Zulaika; Nicolas Loix (Int. J. Comput. Integr. Manuf., 2015)

Modeling pulsed laser micromachining of micro geometries using machine-learning techniques. - Daniel Teixidor; Maciej Grzenda; Andrés Bustillo; Joaquim Ciurana (J. Intell. Manuf., 2015)

An SVM-Based Solution for Fault Detection in Wind Turbines. - Pedro Santos; Luisa F. Villa; Aníbal Reñones; Andrés Bustillo; Jesús Maudes (Sensors, 2015)

Briviesca in the 15th c.: A Virtual Reality Environment for Teaching Purposes. - David Checa; Mario Alaguero; Miguel A. Arnaiz; Andrés Bustillo (AVR (2), 2016)

Using a Short Video Animation to Assist with the Diagnosis of Sleep Disorders in Young Children. - Blanca Guinea; Mario Alaguero; Fernando Melgosa; Andrés Bustillo (AVR (2), 2016)

Interpreting tree-based prediction models and their data in machining processes. - Andrés Bustillo; Maciej Grzenda; Bohdan Macukow (Integr. Comput. Aided Eng., 2016)

Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components. - Andrés Bustillo; Luis Norberto López de Lacalle; Asier Fernández-Valdivielso; Pedro Santos (J. Comput. Des. Eng., 2016)

Measuring the Impact of Low-Cost Short-Term Virtual Reality on the User Experience. - Mario Alaguero; David Checa; Andrés Bustillo (AVR (1), 2017)

Industrial Heritage Seen Through the Lens of a Virtual Reality Experience. - David Checa; Mario Alaguero; Andrés Bustillo (AVR (1), 2017)

A decision-making tool based on decision trees for roughness prediction in face milling. - Juan José Rodríguez Diez; Guillem Quintana; Andrés Bustillo; Joaquim Ciurana (Int. J. Comput. Integr. Manuf., 2017)

Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth. - Danil Yurievich Pimenov; Andrés Bustillo; Tadeusz Mikolajczyk (J. Intell. Manuf., 2018)

Identifying maximum imbalance in datasets for fault diagnosis of gearboxes. - Pedro Santos; Jesús Maudes; Andrés Bustillo (J. Intell. Manuf., 2018)

Virtual Reality Travel Training Simulator for People with Intellectual Disabilities. - David Checa; Lydia Ramon; Andrés Bustillo (AVR (1), 2019)

Semi-supervised roughness prediction with partly unlabeled vibration data streams. - Maciej Grzenda; Andrés Bustillo (J. Intell. Manuf., 2019)

A Framework for Educational and Training Immersive Virtual Reality Experiences. - David Checa; Carola Gatto; Doriana Cisternino; Lucio Tommaso De Paolis; Andrés Bustillo (AVR (2), 2020)

Considering User Experience Parameters in the Evaluation of VR Serious Games. - Kim Martinez; M. Isabel Menéndez-Menéndez; Andrés Bustillo (AVR (1), 2020)

A review of immersive virtual reality serious games to enhance learning and training. - David Checa; Andrés Bustillo (Multim. Tools Appl., 2020)

Advantages and limits of virtual reality in learning processes: Briviesca in the fifteenth century. - David Checa; Andrés Bustillo (Virtual Real., 2020)

Virtual reality-based tool applied in the teaching and training of condition-based maintenance in induction motors. - David Checa; Andrés Bustillo; Juan Jose Saucedo Dorantes; Roque Alfredo Osornio-Rios; Irving Armando Cruz-Albarrán (IECON, 2021)

Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth. - Andrés Bustillo; Danil Yurievich Pimenov; Mozammel Mia; Wojciech Kaplonek (J. Intell. Manuf., 2021)

Collaborative Virtual Reality Environment for Training Load Movement with Overhead Bridge Cranes. - David Checa; Ines Miguel-Alonso; Henar Guillen-Sanz; Andrés Bustillo (XR (1), 2022)

Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations. - David Checa; Gorka Urbikain; Aitor Beranoagirre; Andrés Bustillo; Luis Norberto López de Lacalle (Int. J. Comput. Integr. Manuf., 2022)

Improving the accuracy of machine-learning models with data from machine test repetitions. - Andrés Bustillo; Roberto Reis; Alisson R. Machado; Danil Yurievich Pimenov (J. Intell. Manuf., 2022)

Detection of Stress Stimuli in Learning Contexts of iVR Environments. - José Miguel Ramírez-Sanz; Helia Marina Peña-Alonso; Ana Serrano Mamolar; Álvar Arnaiz-González; Andrés Bustillo (XR (2), 2023)

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review. - Danil Yurievich Pimenov; Andrés Bustillo; Szymon Wojciechowski; Vishal S. Sharma; Munish Kumar Gupta; Mustafa Kuntoglu (J. Intell. Manuf., 2023)

Immersive virtual-reality computer-assembly serious game to enhance autonomous learning. - David Checa; Ines Miguel-Alonso; Andrés Bustillo (Virtual Real., 2023)

Personalising the Training Process with Adaptive Virtual Reality: A Proposed Framework, Challenges, and Opportunities. - Gadea Lucas-Pérez; José Miguel Ramírez-Sanz; Ana Serrano Mamolar; Álvar Arnaiz-González; Andrés Bustillo (XR (1), 2024)

Evaluating the Effectiveness of Avatar-Based Collaboration in XR for Pump Station Training Scenarios. - Kevin Kastner; Ines Miguel-Alonso; Anjela Mayer; Jean-Rémy Chardonnet; Andrés Bustillo; Jivka Ovtcharova; René Eiswirth; Julian Reichwald (GeCon, 2024)

Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults. - José Alberto Maestro-Prieto; José Miguel Ramírez-Sanz; Andrés Bustillo; Juan José Rodríguez Diez (Appl. Intell., 2024)

A systematic review of wearable biosensor usage in immersive virtual reality experiences. - Henar Guillen-Sanz; David Checa; Ines Miguel-Alonso; Andrés Bustillo (Virtual Real., 2024)

Evaluation of the novelty effect in immersive Virtual Reality learning experiences. - Ines Miguel-Alonso; David Checa; Henar Guillen-Sanz; Andrés Bustillo (Virtual Real., 2024)

A systematic review of virtual 3D reconstructions of Cultural Heritage in immersive Virtual Reality. - Bruno Rodriguez-Garcia; Henar Guillen-Sanz; David Checa; Andrés Bustillo (Multim. Tools Appl., 2024)

Enhancing Asynchronous Learning in immersive Environments: Exploring Baseline Modalities for Avatar-Based AR Guidance. - Anjela Mayer; Ines Miguel-Alonso; Jean-Rémy Chardonnet; Andrés Bustillo; Jivka Ovtcharova (VR Workshops, 2025)

Can Immersive Virtual Reality Environments Improve Stress Reduction? Experimental Design With Progressive Muscle Relaxation Training. - Henar Guillen-Sanz; M. C. Escolar-Llamazares; I. Quevedo Bayona; M. A. Martínez-Martín; Andrés Bustillo (IEEE Access, 2025)

LoDCalculator: A level of detail classification software for 3D models in the Blender environment. - Bruno Rodriguez-Garcia; Ines Miguel-Alonso; Henar Guillen-Sanz; Andrés Bustillo (SoftwareX, 2025)