Andrés Bustillo

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 30

Top Topics

Learning Contexts

Virtual Reality

Surface Roughness

Top Venues

J. Intell. Manuf.

Publications

Henar Guillen-Sanz, David Checa, Ines Miguel-Alonso, Andrés Bustillo
A systematic review of wearable biosensor usage in immersive virtual reality experiences. Virtual Real. 28 (1) (2024)
José Alberto Maestro-Prieto, José Miguel Ramírez-Sanz, Andrés Bustillo, Juan José Rodríguez Diez
Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults. Appl. Intell. 54 (6) (2024)
Ines Miguel-Alonso, David Checa, Henar Guillen-Sanz, Andrés Bustillo
Evaluation of the novelty effect in immersive Virtual Reality learning experiences. Virtual Real. 28 (1) (2024)
David Checa, Ines Miguel-Alonso, Andrés Bustillo
Immersive virtual-reality computer-assembly serious game to enhance autonomous learning. Virtual Real. 27 (4) (2023)
José Miguel Ramírez-Sanz, Helia Marina Peña-Alonso, Ana Serrano Mamolar, Álvar Arnaiz-González, Andrés Bustillo
Detection of Stress Stimuli in Learning Contexts of iVR Environments. XR (2) (2023)
Danil Yurievich Pimenov, Andrés Bustillo, Szymon Wojciechowski, Vishal S. Sharma, Munish Kumar Gupta, Mustafa Kuntoglu
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review. J. Intell. Manuf. 34 (5) (2023)
David Checa, Ines Miguel-Alonso, Henar Guillen-Sanz, Andrés Bustillo
Collaborative Virtual Reality Environment for Training Load Movement with Overhead Bridge Cranes. XR (1) (2022)
David Checa, Gorka Urbikain, Aitor Beranoagirre, Andrés Bustillo, Luis Norberto López de Lacalle
Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations. Int. J. Comput. Integr. Manuf. 35 (9) (2022)
Andrés Bustillo, Roberto Reis, Alisson R. Machado, Danil Yurievich Pimenov
Improving the accuracy of machine-learning models with data from machine test repetitions. J. Intell. Manuf. 33 (1) (2022)
David Checa, Andrés Bustillo, Juan Jose Saucedo Dorantes, Roque Alfredo Osornio-Rios, Irving Armando Cruz-Albarrán
Virtual reality-based tool applied in the teaching and training of condition-based maintenance in induction motors. IECON (2021)
Andrés Bustillo, Danil Yurievich Pimenov, Mozammel Mia, Wojciech Kaplonek
Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth. J. Intell. Manuf. 32 (3) (2021)
David Checa, Andrés Bustillo
Advantages and limits of virtual reality in learning processes: Briviesca in the fifteenth century. Virtual Real. 24 (1) (2020)
David Checa, Andrés Bustillo
A review of immersive virtual reality serious games to enhance learning and training. Multim. Tools Appl. 79 (9-10) (2020)
David Checa, Carola Gatto, Doriana Cisternino, Lucio Tommaso De Paolis, Andrés Bustillo
A Framework for Educational and Training Immersive Virtual Reality Experiences. AVR (2) (2020)
Kim Martinez, M. Isabel Menéndez-Menéndez, Andrés Bustillo
Considering User Experience Parameters in the Evaluation of VR Serious Games. AVR (1) (2020)
Maciej Grzenda, Andrés Bustillo
Semi-supervised roughness prediction with partly unlabeled vibration data streams. J. Intell. Manuf. 30 (2) (2019)
David Checa, Lydia Ramon, Andrés Bustillo
Virtual Reality Travel Training Simulator for People with Intellectual Disabilities. AVR (1) (2019)
Pedro Santos, Jesús Maudes, Andrés Bustillo
Identifying maximum imbalance in datasets for fault diagnosis of gearboxes. J. Intell. Manuf. 29 (2) (2018)
Danil Yurievich Pimenov, Andrés Bustillo, Tadeusz Mikolajczyk
Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth. J. Intell. Manuf. 29 (5) (2018)
David Checa, Mario Alaguero, Andrés Bustillo
Industrial Heritage Seen Through the Lens of a Virtual Reality Experience. AVR (1) (2017)
Juan José Rodríguez Diez, Guillem Quintana, Andrés Bustillo, Joaquim Ciurana
A decision-making tool based on decision trees for roughness prediction in face milling. Int. J. Comput. Integr. Manuf. 30 (9) (2017)
Mario Alaguero, David Checa, Andrés Bustillo
Measuring the Impact of Low-Cost Short-Term Virtual Reality on the User Experience. AVR (1) (2017)
Andrés Bustillo, Luis Norberto López de Lacalle, Asier Fernández-Valdivielso, Pedro Santos
Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components. J. Comput. Des. Eng. 3 (4) (2016)
David Checa, Mario Alaguero, Miguel A. Arnaiz, Andrés Bustillo
Briviesca in the 15th c.: A Virtual Reality Environment for Teaching Purposes. AVR (2) (2016)
Blanca Guinea, Mario Alaguero, Fernando Melgosa, Andrés Bustillo
Using a Short Video Animation to Assist with the Diagnosis of Sleep Disorders in Young Children. AVR (2) (2016)
Andrés Bustillo, Maciej Grzenda, Bohdan Macukow
Interpreting tree-based prediction models and their data in machining processes. Integr. Comput. Aided Eng. 23 (4) (2016)
Daniel Teixidor, Maciej Grzenda, Andrés Bustillo, Joaquim Ciurana
Modeling pulsed laser micromachining of micro geometries using machine-learning techniques. J. Intell. Manuf. 26 (4) (2015)
Andrés Bustillo, Mario Alaguero, Ines Miguel, Jose M. Saiz, Lena S. Iglesias
A flexible platform for the creation of 3D semi-immersive environments to teach Cultural Heritage. Digit. Appl. Archaeol. Cult. Heritage 2 (4) (2015)
Pedro Santos, Luisa F. Villa, Aníbal Reñones, Andrés Bustillo, Jesús Maudes
An SVM-Based Solution for Fault Detection in Wind Turbines. Sensors 15 (3) (2015)
Andrés Bustillo, Ibone Oleaga, Juan J. Zulaika, Nicolas Loix
New methodology for the design of ultra-light structural components for machine tools. Int. J. Comput. Integr. Manuf. 28 (4) (2015)
Andrés Bustillo, Juan José Rodríguez Diez
Online breakage detection of multitooth tools using classifier ensembles for imbalanced data. Int. J. Syst. Sci. 45 (12) (2014)
Maciej Grzenda, Andrés Bustillo
The evolutionary development of roughness prediction models. Appl. Soft Comput. 13 (5) (2013)
Pedro Santos, Jesús Maudes, Andrés Bustillo, Juan José Rodríguez
Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques. IEA/AIE (2013)
Andrés Bustillo, Julien Negre, Iñigo Lazcanotegui
Towards higher machine-tool eco-efficiency with an Information Sharing Platform. IECON (2013)
Pedro Santos, Luisa F. Villa, Aníbal Reñones, Andrés Bustillo, Jesús Maudes
Wind Turbines Fault Diagnosis Using Ensemble Classifiers. ICDM (2012)
José-Francisco Díez-Pastor, Andrés Bustillo, Guillem Quintana, César Ignacio García-Osorio
Boosting Projections to improve surface roughness prediction in high-torque milling operations. Soft Comput. 16 (8) (2012)
Maciej Grzenda, Andrés Bustillo, Pawel Zawistowski
A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling. J. Intell. Manuf. 23 (5) (2012)
Agustín Gajate, Rodolfo E. Haber, Raúl M. del Toro, Pastora I. Vega, Andrés Bustillo
Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process. J. Intell. Manuf. 23 (3) (2012)
Andrés Bustillo, Maritza Correa
Using artificial intelligence to predict surface roughness in deep drilling of steel components. J. Intell. Manuf. 23 (5) (2012)
Guillem Quintana, Andrés Bustillo, Joaquim Ciurana
Prediction, monitoring and control of surface roughness in high-torque milling machine operations. Int. J. Comput. Integr. Manuf. 25 (12) (2012)
Maciej Grzenda, Andrés Bustillo, Guillem Quintana, Joaquim Ciurana
Improvement of surface roughness models for face milling operations through dimensionality reduction. Integr. Comput. Aided Eng. 19 (2) (2012)
Andrés Bustillo, Alberto Villar, Eneko Gorritxategi, Susana Ferreiro, Juan José Rodríguez
Using Ensembles of Regression Trees to Monitor Lubricating Oil Quality. IEA/AIE (1) (2011)
Andrés Bustillo, Maritza Correa, Aníbal Reñones
A Virtual Sensor for Online Fault Detection of Multitooth-Tools. Sensors 11 (3) (2011)
Andrés Bustillo, Eneko Ukar, Juan José Rodríguez, Aitzol Lamikiz
Modelling of process parameters in laser polishing of steel components using ensembles of regression trees. Int. J. Comput. Integr. Manuf. 24 (8) (2011)
José-Francisco Díez-Pastor, César Ignacio García-Osorio, Juan José Rodríguez, Andrés Bustillo
GRASP Forest: A New Ensemble Method for Trees. MCS (2011)
Carlos López Nozal, David H. Martin, Andrés Bustillo, Raúl Marticorena Sánchez
Final Year Project Management Process. CSEDU (2) (2010)
Raquel Redondo, Pedro Santos, Andrés Bustillo, Javier Sedano, José Ramón Villar, Maritza Correa, José Ramón Alique, Emilio Corchado
A Soft Computing System to Perform Face Milling Operations. IWANN (2) (2009)
Andrés Bustillo, Javier Sedano, José Ramón Villar, Leticia Curiel, Emilio Corchado
Conventional Methods and AI models for Solving an Industrial an Industrial Problem. EMS (2008)
Andrés Bustillo, Javier Sedano, José Ramón Villar, Leticia Curiel, Emilio Corchado
AI for Modelling the Laser Milling of Copper Components. IDEAL (2008)
Rodolfo E. Haber, Michael Schmittdiel, Angel Alique, Andrés Bustillo, Ramón Galán
Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process. IWANN (2007)