Andrés Bueno-Crespo

Orcid: 0000-0003-1734-6852

According to our database1, Andrés Bueno-Crespo authored at least 35 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

2023
Evaluation of synthetic data generation for intelligent climate control in greenhouses.
Appl. Intell., November, 2023

SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments.
Internet Things, July, 2023

Evaluation of low-power devices for smart greenhouse development.
J. Supercomput., June, 2023

Data-driven evaluation of machine learning models for climate control in operational smart greenhouses.
J. Ambient Intell. Smart Environ., 2023

Preface to the Proceedings of the 3rd International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'23).
Proceedings of the Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023), 2023

A real-time traffic alert system based on image recognition: A case of study in Spain.
Proceedings of the 19th International Conference on Intelligent Environments, 2023

2022
Preface to the Proceedings of ALLEGET'22.
Proceedings of the Workshops at 18th International Conference on Intelligent Environments (IE2022), 2022

2021
Performance evaluation of edge-computing platforms for the prediction of low temperatures in agriculture using deep learning.
J. Supercomput., 2021

METADOCK 2: a high-throughput parallel metaheuristic scheme for molecular docking.
Bioinform., 2021

The Challenge of Classification Confidence Estimation in Dynamically-Adaptive Neural Networks.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2021

Preface to the Proceedings of 1st International Workshop on Artificial Intelligence and Machine Learning for Emerging Topics (ALLEGET'21).
Proceedings of the Intelligent Environments 2021, 2021

2020
Sound Levels Forecasting in an Acoustic Sensor Network Using a Deep Neural Network.
Sensors, 2020

A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers.
Sensors, 2020

A deep learning model to predict lower temperatures in agriculture.
J. Ambient Intell. Smart Environ., 2020

Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique.
Expert Syst. Appl., 2020

When will the mist clear? On the Interpretability of Machine Learning for Medical Applications: a survey.
CoRR, 2020

QN-Docking: An innovative molecular docking methodology based on Q-Networks.
Appl. Soft Comput., 2020

2019
Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques.
Proceedings of the Agriculture and Environment Perspectives in Intelligent Systems, 2019

An LSTM Deep Learning Scheme for Prediction of Low Temperatures in Agriculture.
Proceedings of the Intelligent Environments 2019, 2019

2018
Air-Pollution Prediction in Smart Cities through Machine Learning Methods: A Case of Study in Murcia, Spain.
J. Univers. Comput. Sci., 2018

An unsupervised technique to discretize numerical values by fuzzy partitions.
J. Ambient Intell. Smart Environ., 2018

Multi-objective optimal design of submerged arches using extreme learning machine and evolutionary algorithms.
Appl. Soft Comput., 2018

Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Deep Learning Approach for Classifying Papanicolau Cervical Smears.
Proceedings of the 47th International Conference on Parallel Processing, 2018

2017
Testing Extreme Learning Machine in Motor Imagery Brain Computer Interface.
J. Intell. Fuzzy Syst., 2017

Bioinspired Architecture Selection for Multitask Learning.
Frontiers Neuroinformatics, 2017

Influence of Multivariate Modeling in the Prediction of Soil Carbon by a Portable Infrared Sensor.
Proceedings of the Intelligent Environments 2017, 2017

Discretizing Numerical Values by a Fuzzy Clustering Technique.
Proceedings of the 2017 International Conference on Intelligent Environments, 2017

2016
Early-stage atherosclerosis detection using deep learning over carotid ultrasound images.
Appl. Soft Comput., 2016

2015
Estimation of the Arterial Diameter in Ultrasound Images of the Common Carotid Artery.
Proceedings of the Artificial Computation in Biology and Medicine, 2015

Related Tasks Selection to Multitask Learning Schemes.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

2013
Neural architecture design based on extreme learning machine.
Neural Networks, 2013

2012
Improving learning by using artificial hints.
Neurocomputing, 2012

2007
Multitask Learning with Data Editing.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007


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