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- A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics 2023
- A portfolio stock selection model based on expected utility, entropy and variance 2023
- Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunities 2023
- Deep learning model for doors detection a contribution for context awareness recognition of patients with Parkinson’s disease 2022
- Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio 2022
- A distributed topology for identifying anomalies in an industrial environment 2022
- Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction 2021
- Gait monitoring system for patients with Parkinson’s disease 2021
- A neural integrator model for planning and value-based decision making of a robotics assistant 2020
- Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers 2020
- Piezometric level prediction based on data mining techniques 2020
- Multi-step time series prediction intervals using neuroevolution 2020
- A novel approach based on soft computing techniques for unconfined compression strength prediction of soil cement mixtures 2019
- A deep learning classifier for sentence classification in biomedical and computer science abstracts 2019
- Neuroevolution for solving multiobjective knapsack problems 2019
- Automatic human trajectory destination prediction from video 2018
- Combination of expert decision and learned based Bayesian Networks for multi-scale mechanical analysis of timber elements 2018
- Retinal vessel segmentation based on Fully Convolutional Neural Networks 2018
- The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices 2017
- A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features 2017
- Blood type classification using computer vision and machine learning 2017
- Using timed automata for modeling, simulating and verifying networked systems controller's specifications 2017
- An evolutionary multi-objective optimization system for earthworks 2015
- Automatic visual detection of human behavior: A review from 2000 to 2014 2015
- Business intelligence in banking: A literature analysis from 2002 to 2013 using Text Mining and latent Dirichlet allocation 2015
- Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters 2014
- Evaluating techniques for learning non-taxonomic relationships of ontologies from text 2014
- Global and decomposition evolutionary support vector machine approaches for time series forecasting 2014
- Optimization of fed-batch fermentation processes with bio-inspired algorithms 2014
- Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns 2014
- A visual analytics framework for cluster analysis of DNA microarray data 2013
- Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations 2013
- Modeling the compressive strength of geopolymeric binders by gene expression programming-GEP 2013
- An ontology for managing network services quality 2012
- Multimodal behavioral analysis for non-invasive stress detection 2012
- Prediction of the mechanical behavior of the Oporto granite using data mining techniques 2012
- Sensor-driven agenda for intelligent home care of the elderly 2012
- Symbiotic filtering for spam email detection 2011
- BioDR: Semantic indexing networks for biomedical document retrieval 2010
- The chick chorioallantoic membrane assay as an in vivo model for colon tumor analysis with optical coherence tomography. 255:124611. 2024
- Evaluating the Generalization Ability of Deep Learning Models: An Application on Sugar Content Estimation from Hyperspectral Images of Wine Grape Berries. 250. 2024
- Pallets delivery: Two matheuristics for combined loading and routing. 243. 2024
- Deep learning-based approaches for human motion decoding in smart walkers for rehabilitation. 228:120288. 2023
- GNSS antenna placement for autonomous vehicles supported by Bayesian optimization. 214:119158. 2023
- A multi-objective simulation-based decision support tool for wine supply chain design and risk management under sustainability goals. 232. 2023
- Solving the integrated planning and scheduling problem using variable neighborhood search based algorithms. 228. 2023
- Optimization of the grapes reception process 2021
- Prediction of cement-based mortars compressive strength using machine learning techniques 2021
- Three-dimensional guillotine cutting problems with constrained patterns: MILP formulations and a bottom-up algorithm. 114257-114257. 2020
- A multi-model methodology for forecasting sales and returns of liquefied petroleum gas cylinders 2020
- Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem. 118:365-380. 2019
- Recognition of similar characters using gradient features of discriminative regions. 134:120-137. 2019
- Adaptive Penalty and Barrier function based on Fuzzy Logic. 42:6777-6783. 2015