Andrés Bustillo

Orcid: 0000-0003-2855-7532

According to our database1, Andrés Bustillo authored at least 53 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Evaluation of the novelty effect in immersive Virtual Reality learning experiences.
Virtual Real., March, 2024

A systematic review of wearable biosensor usage in immersive virtual reality experiences.
Virtual Real., March, 2024

Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults.
Appl. Intell., March, 2024

Evaluating the Effectiveness of Avatar-Based Collaboration in XR for Pump Station Training Scenarios.
Proceedings of the 3rd IEEE German Education Conference, GeCon 2024, Munich, 2024

Personalising the Training Process with Adaptive Virtual Reality: A Proposed Framework, Challenges, and Opportunities.
Proceedings of the Extended Reality - International Conference, 2024

2023
Immersive virtual-reality computer-assembly serious game to enhance autonomous learning.
Virtual Real., December, 2023

Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review.
J. Intell. Manuf., June, 2023

Detection of Stress Stimuli in Learning Contexts of iVR Environments.
Proceedings of the Extended Reality - International Conference, 2023

2022
Improving the accuracy of machine-learning models with data from machine test repetitions.
J. Intell. Manuf., 2022

Using Machine-Learning techniques and Virtual Reality to design cutting tools for energy optimization in milling operations.
Int. J. Comput. Integr. Manuf., 2022

Collaborative Virtual Reality Environment for Training Load Movement with Overhead Bridge Cranes.
Proceedings of the Extended Reality - First International Conference, 2022

2021
Machine-learning for automatic prediction of flatness deviation considering the wear of the face mill teeth.
J. Intell. Manuf., 2021

Virtual reality-based tool applied in the teaching and training of condition-based maintenance in induction motors.
Proceedings of the IECON 2021, 2021

2020
Advantages and limits of virtual reality in learning processes: Briviesca in the fifteenth century.
Virtual Real., 2020

A review of immersive virtual reality serious games to enhance learning and training.
Multim. Tools Appl., 2020

Considering User Experience Parameters in the Evaluation of VR Serious Games.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2020

A Framework for Educational and Training Immersive Virtual Reality Experiences.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2020

2019
Semi-supervised roughness prediction with partly unlabeled vibration data streams.
J. Intell. Manuf., 2019

Virtual Reality Travel Training Simulator for People with Intellectual Disabilities.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2019

2018
Identifying maximum imbalance in datasets for fault diagnosis of gearboxes.
J. Intell. Manuf., 2018

Artificial intelligence for automatic prediction of required surface roughness by monitoring wear on face mill teeth.
J. Intell. Manuf., 2018

2017
A decision-making tool based on decision trees for roughness prediction in face milling.
Int. J. Comput. Integr. Manuf., 2017

Industrial Heritage Seen Through the Lens of a Virtual Reality Experience.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2017

Measuring the Impact of Low-Cost Short-Term Virtual Reality on the User Experience.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2017

2016
Data-mining modeling for the prediction of wear on forming-taps in the threading of steel components.
J. Comput. Des. Eng., 2016

Interpreting tree-based prediction models and their data in machining processes.
Integr. Comput. Aided Eng., 2016

Using a Short Video Animation to Assist with the Diagnosis of Sleep Disorders in Young Children.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2016

Briviesca in the 15th c.: A Virtual Reality Environment for Teaching Purposes.
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2016

2015
An SVM-Based Solution for Fault Detection in Wind Turbines.
Sensors, 2015

Modeling pulsed laser micromachining of micro geometries using machine-learning techniques.
J. Intell. Manuf., 2015

New methodology for the design of ultra-light structural components for machine tools.
Int. J. Comput. Integr. Manuf., 2015

A flexible platform for the creation of 3D semi-immersive environments to teach Cultural Heritage.
Digit. Appl. Archaeol. Cult. Heritage, 2015

2014
Online breakage detection of multitooth tools using classifier ensembles for imbalanced data.
Int. J. Syst. Sci., 2014

2013
The evolutionary development of roughness prediction models.
Appl. Soft Comput., 2013

Towards higher machine-tool eco-efficiency with an Information Sharing Platform.
Proceedings of the IECON 2013, 2013

Improvements in Modelling of Complex Manufacturing Processes Using Classification Techniques.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

2012
Boosting Projections to improve surface roughness prediction in high-torque milling operations.
Soft Comput., 2012

A soft computing system using intelligent imputation strategies for roughness prediction in deep drilling.
J. Intell. Manuf., 2012

Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process.
J. Intell. Manuf., 2012

Using artificial intelligence to predict surface roughness in deep drilling of steel components.
J. Intell. Manuf., 2012

Prediction, monitoring and control of surface roughness in high-torque milling machine operations.
Int. J. Comput. Integr. Manuf., 2012

Improvement of surface roughness models for face milling operations through dimensionality reduction.
Integr. Comput. Aided Eng., 2012

Wind Turbines Fault Diagnosis Using Ensemble Classifiers.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

2011
A Virtual Sensor for Online Fault Detection of Multitooth-Tools.
Sensors, 2011

Modelling of process parameters in laser polishing of steel components using ensembles of regression trees.
Int. J. Comput. Integr. Manuf., 2011

GRASP Forest: A New Ensemble Method for Trees.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Using Ensembles of Regression Trees to Monitor Lubricating Oil Quality.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

2010
Final Year Project Management Process.
Proceedings of the CSEDU 2010 - Proceedings of the Second International Conference on Computer Supported Education, Valencia, Spain, April 7-10, 2010, 2010

2009
A Soft Computing System for Modelling the Manufacture of Steel Components.
Proceedings of the Computer Recognition Systems 3, 2009

A Soft Computing System to Perform Face Milling Operations.
Proceedings of the Distributed Computing, 2009

2008
AI for Modelling the Laser Milling of Copper Components.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Conventional Methods and AI models for Solving an Industrial an Industrial Problem.
Proceedings of the EMS 2008, 2008

2007
Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process.
Proceedings of the Computational and Ambient Intelligence, 2007


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