Andrés Fuster Guilló
Orcid: 0000-0003-0938-6344
According to our database1,
Andrés Fuster Guilló
authored at least 52 papers
between 1999 and 2024.
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Bibliography
2024
Simultaneous, vision-based fish instance segmentation, species classification and size regression.
PeerJ Comput. Sci., 2024
2023
Predictive Modeling of Body Shape Changes in Individuals on Dietetic Treatment Using Recurrent Networks.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
A Modified Loss Function Approach for Instance Segmentation Improvement and Application in Fish Markets.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Proceedings of the Research and Innovation Forum 2023 - Navigating Shocks and Crises in Uncertain Times, 2023
Proceedings of the Advances in Computational Intelligence, 2023
2022
A Non-Invasive Approach for Total Cholesterol Level Prediction Using Machine Learning.
IEEE Access, 2022
Architecture for Automatic Recognition of Group Activities Using Local Motions and Context.
IEEE Access, 2022
A Template-Based Method for Automatic Anthropometric Measurements from Multiple 3D Scans.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022
Automatic Fish Size Estimation from Uncalibrated Fish Market Images Using Computer Vision and Deep Learning.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022
Efficient instance segmentation using deep learning for species identification in fish markets.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Iterative multilinear optimization for planar model fitting under geometric constraints.
PeerJ Comput. Sci., 2021
J. Comput. Sci., 2021
Systematic Mapping of Open Data Studies: Classification and Trends From a Technological Perspective.
IEEE Access, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
RGB-D-Based Framework to Acquire, Visualize and Measure the Human Body for Dietetic Treatments.
Sensors, 2020
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs).
CoRR, 2020
A collaborative working model for enhancing the learning process of science & engineering students.
Comput. Hum. Behav., 2020
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Deep Learning Architecture for Group Activity Recognition using Description of Local Motions<sup>*</sup>.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Practical Method of Improving the Teamwork of Engineering Students Using Team Contracts to Minimize Conflict Situations.
IEEE Access, 2019
3D Technologies to Acquire and Visualize the Human Body for Improving Dietetic Treatment.
Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019
Defining a Master Data Management Approach for Increasing Open Data Understandability.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2019 Workshops, 2019
Proceedings of the Working Notes of CLEF 2019, 2019
2018
Comput. Vis. Image Underst., 2018
Proceedings of the Working Notes of CLEF 2018, 2018
2017
A Quantitative Comparison of Calibration Methods for RGB-D Sensors Using Different Technologies.
Sensors, 2017
A Novel Active Imaging Model to Design Visual Systems: A Case of Inspection System for Specular Surfaces.
Sensors, 2017
Neural Comput. Appl., 2017
Neural Comput. Appl., 2017
Int. J. Comput. Vis. Image Process., 2017
Proceedings of the Advances in Computational Intelligence, 2017
2016
A Novel Prediction Method for Early Recognition of Global Human Behaviour in Image Sequences.
Neural Process. Lett., 2016
Group activity description and recognition based on trajectory analysis and neural networks.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Signal Process. Image Commun., 2015
Expert Syst. Appl., 2015
Three-dimensional planar model estimation using multi-constraint knowledge based on k-means and RANSAC.
Appl. Soft Comput., 2015
A Comparative Study of Downsampling Techniques for Non-rigid Point Set Registration Using Color.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015
Topology Preserving Self-Organizing Map of Features in Image Space for Trajectory Classification.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Sensors, 2014
A predictive model for recognizing human behaviour based on trajectory representation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Development of an Open Data Portal for a University - Experience from the University of Alicante.
Proceedings of the DATA 2014, 2014
2013
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2008
Environment for Designing and Simulating Control Networks at Digital Home.
Proceedings of the ICINCO 2008, 2008
2007
Simulation of Automated Visual Inspection Systems for Specular Surfaces Quality Control.
Proceedings of the Advances in Image and Video Technology, Second Pacific Rim Symposium, 2007
2006
Proceedings of the International Conference on Image Processing, 2006
2004
Proceedings of the Field Programmable Logic and Application, 2004
2003
Proceedings of the Computer Vision Systems, Third International Conference, 2003
1999
Remote Web Server of Digital Signal Processors Cards and Its Applications in Education.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999