publicações selecionadas
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artigo académico
- Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence. Electronics. 2023
- A decision support system based on a multivariate supervised regression strategy for estimating supply lead times. Engineering Applications of Artificial Intelligence. 2023
- International revenue share fraud prediction on the 5G edge using federated learning. Computing. 2023
- RTSIMU: Real-Time Simulation tool for IMU sensors. Software Impacts. 2023
- An Evolutionary Neural Network Approach for Slopes Stability Assessment. Applied Sciences. 2023
- A Deep Learning-Based Decision Support System for Mobile Performance Marketing. International Journal of Information Technology & Decision Making. 2023
- AutoOC: A Python module for automated multi-objective One-Class Classification[Formula presented]. Software Impacts. 2023
- AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution. Applied Soft Computing. 2023
- Early warning system for preventing bank distress in Brazil. International Journal of Business and Systems Research. 2023
- Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach. Procedia Computer Science. 2022
- Using Deep Autoencoders for In-vehicle Audio Anomaly Detection. Procedia Computer Science. 2021
- Fifth special issue on knowledge discovery and business intelligence. Electronics. 2020
- Erratum: Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing (Journal of Computing in Civil Engineering DOI: 10.1061/(ASCE)CP.1943-5487.0000739). Journal of Computing in Civil Engineering. 2018
- Fourth special issue on knowledge discovery and business intelligence. Electronics. 2018
- A text mining approach to analyzing Annals literature. Annals of Tourism Research. 2017
- Third special issue on knowledge discovery and business intelligence. Electronics. 2017
- A framework for improving routing configurations using multi-objective optimization mechanisms. Journal of Communications Software and Systems. 2016
- Metaheuristics, Data Mining and Geographic Information Systems for Earthworks Equipment Allocation. Procedia Engineering. 2016
- Combining Data Mining and Evolutionary Computation for Multi-Criteria Optimization of Earthworks. Computational Methods in Applied Sciences. 2015
- Recent advances on knowledge discovery and business intelligence. Electronics. 2015
- [An editorial to] Recent Advances on Knowledge Discovery and Business Intelligence. Proceedings of SPIE. 2015
- Use of DM Techniques in Earthworks Management: A Case Study. Geotechnical Special Publication. 2014
- Data-driven models for uniaxial compressive strength prediction applied to unseen data. Proceedings of SPIE. 2013
- Knowledge discovery and business intelligence. Electronics. 2013
- Short-term Electric Load Forecasting Using Computational Intelligence Methods. IEEE International Conference on Fuzzy Systems. 2013
- Previsão do Comportamento Mecânico de Formulações Laboratoriais de Solo-Cimento para Colunas de Jet Grouting com recurso a Máquina de Vetores de Suporte. Engenharia Civil. 2012
- A data mining approach for predicting Jet Grouting geomechanical parameters. ASCE. 2011
- Automatic Provisioning of QoS Aware OSPF Configurations. Journal of Networks. 2007
- Previsão de Eventos Anormais em Sistemas de Vídeo-Vigilância. Actas do Simpósio Doutoral em Inteligência Artificial. 2007
- Selection of trees for rubbing by red and roe deer in forest plantations. Forest Ecology and Management. 2006
- Previsão da Tenrura da Carne de Cordeiro via Redes Neuronais Artificiais e Análise de Sensibilidade. Actas da 6ª Conferência da Associação Portuguesa de Sistemas de Informação (CAPSI). 2005
- Evolutionary Neural Network Learning Algorithms for Changing Environments. WSEAS Transactions on Systems. 2004
- A unified framework for data modeling on Medical Information Systems. Medical Informatics Europe '99. 1999
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artigo de conferência
- AI4CITY - An Automated Machine Learning Platform for Smart Cities 2023
- A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors. IEEE International Joint Conference on Neural Networks (IJCNN). 2022
- A federated machine learning approach to detect international revenue share fraud on the 5G edge 2022
- A Machine Learning Approach for Spare Parts Lifetime Estimation. ICAART. 2022
- Uso de algoritmos genéticos e redes neurais artificiais na identificação do nível de estabilidade de taludes rochosos 2021
- A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost. IEEE International Joint Conference on Neural Networks (IJCNN). 2021
- A realistic scooter rebalancing system via metaheuristics 2020
- An automated and distributed machine learning framework for telecommunications risk management 2020
- Predicting the tear strength of woven fabrics via automated machine learning: An application of the CRISP-DM methodology 2020
- Artificial neural networks for soil embankments stability condition identification,Réseaux de neurones artificiels pour l'identification des conditions de stabilité des remblais de sol 2019
- Preface [Intelligent Technologies for Interactive Entertainment] 2019
- Using Deep Learning for Mobile Marketing User Conversion Prediction. IEEE International Joint Conference on Neural Networks (IJCNN). 2019
- Uso de ferramentas de Data Mining na identificação do nível de estabilidade de taludes em aterro 2018
- Rock and soil cutting slopes stability condition identification based on soft computing algorithms 2018
- Machine learning algorithms for rock cutting slopes stability condition identification 2018
- A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction 2018
- A Machine Learning Approach to Detect Violent Behaviour from Video. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering. 2018
- A deep learning approach for sentence classification of scientific abstracts. Computational Methods in Applied Sciences. 2018
- Data-driven classification approaches for stability condition prediction of soil cutting slopes 2017
- Human skeleton detection from semi-constrained environment video 2017
- Mining rational team concert repositories: A case study on a software project. Computational Methods in Applied Sciences. 2017
- Use of data mining tools for cut soil slope condition state identification 2016
- Identificação do estado de condição de taludes em rocha através da aplicação de ferramentas estatísticas avançadas 2016
- Measuring user influence in financial microblogs: Experiments using StockTwits data 2016
- Um sistema integrado para a optimização de terraplenagagens 2016
- A proactive intelligent decision support system for predicting the popularity of online news. Computational Methods in Applied Sciences. 2015
- Automatic human action recognition from video using Hidden Markov Model 2015
- Modern optimization in earthwork construction 2015
- Update of data mining models for the prediction of laboratory soil-cement mechanical properties 2014
- Use of data mining in design of soil improvement by jet grouting 2014
- A data-driven approach to predict hospital length of stay : a Portuguese case study 2014
- A data-driven approach to predict hospital length of stay a portuguese case study 2014
- Artificial neural networks applied to an earthwork construction database 2014
- Automatic creation of stock market lexicons for sentiment analysis using stocktwits data 2014
- Evolving Artificial Neural Networks Applied to Generate Virtual Characters. IEEE Conference on Computational Intelligence and Games. 2014
- Revisão de sistemas inteligentes de otimização de terraplenagens e proposta de um sistema integrado 2014
- Data-driven models for uniaxial compressive strength prediction applied to unseen data 2013
- Preface 2013
- Some experiments on modeling stock market behavior using investor sentiment analysis and posting volume from twitter 2013
- Avaliação de desempenho na segmentação e seguimento de objectos no sistema observer 2012
- Utilização de máquina de vetores de suporte na previsão do comportamento mecânico de formulações laboratoriais de solo-cimento para colunas de jet grouting 2012
- Application of a sensitivity analysis procedure to interpret uniaxial compressive strength prediction of jet grouting laboratory formulations performed by SVM model 2012
- Application of data mining in transportation geotechnics 2012
- Enhancing Bank Direct Marketing through Data Mining 2012
- Evolutionary symbiotic feature selection for email spam detection 2012
- Jet Grouting Mechanicals Properties Prediction using Data Mining Techniques. Geotechnical Special Publication. 2012
- Jet grouting deformability modulus prediction using data mining tools 2012
- Using data mining to study the impact of topology characteristics on the performance of wireless mesh networks. IEEE Wireless Communications and Networking Conference, Wcnc. 2012
- A data mining approach for jet grouting uniaxial compressive strength prediction 2011
- Support vector machines in mechanical properties prediction of jet grouting columns 2011
- Uniaxial compressive strength prediction of jet grouting columns using support vector machines 2011
- Application of data mining in transportation geotechnics 2011
- Application of data mining techniques in the estimation of mechanical properties of Jet Grouting laboratory formulations over time 2011
- Evolving sparsely connected neural networks for multi-step ahead forecasting 2011
- Evolving time-lagged feedforward neural networks for time series forecasting 2011
- Forecasting seasonal time series with computational intelligence: Contribution of a combination of distinct methods. Advances in Intelligent Systems Research. 2011
- Multiobjective evolutionary algorithms for intradomain routing optimization 2011
- Opening black box Data Mining models using Sensitivity Analysis 2011
- UNI-AXIAL compressive strength prediction of jet grouting columns using support vector machines 2011
- Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology 2011
- Weighted cross-validation evolving artificial neural networks to forecast time series 2011
- Application of data mining techniques to estimate elastic young modulus over time of jet grouting laboratory formulations 2010
- Aplicação das técnicas de data mining na previsão do comportamento mecânico de colunas de Jet Grouting 2010
- A collaborative approach for spam detection 2010
- Data mining with neural networks and support vector machines using the R/rminer tool. Computational Methods in Applied Sciences. 2010
- Sensitivity analysis for time lag selection to forecast seasonal time series using neural networks and support vector machines. IEEE International Joint Conference on Neural Networks (IJCNN). 2010
- Using multiple regression, neural networks and support vector machines to predict lamb carcasses composition 2010
- Filtragem colaborativa de correio electrónico não solicitado 2009
- A data mining approach for Jet Grouting Uniaxial Compressive Strength prediction. World Congress on Nature and Biologically Inspired Computing. 2009
- An intelligent alarm management system for large-scale telecommunication companies. Computational Methods in Applied Sciences. 2009
- Data mining applied to compaction of geomaterials 2009
- Symbiotic Data Mining for personalized spam filtering 2009
- Using data mining for wine quality assessment. Computational Methods in Applied Sciences. 2009
- An evolutionary algorithm for unicast/multicast traffic engineering 2008
- An evolutionary algorithm for unicast/ multicast traffic engineering 2008
- An intelligent decision support system for bridge safety assessment based on Data Mining models. WIT Transactions on Information and Communication Technologies. 2008
- Artificial intelligence applied to compaction rules and management 2008
- Data mining no guide terrassements routiers 2008
- Forecasting internet traffic by neural networks under univariate and multivariate strategies 2008
- Using data mining to predict secondary school student performance 2008
- A data mining approach to predict forest fires using meteorological data 2007
- Previsão de eventos anormais em sistemas de vídeo-vigilância 2007
- Alternative models for the calculation of the RMR and Q indexes for granite rock masses 2007
- Class-based OSPF traffic engineering inspired on evolutionary computation. Computational Methods in Applied Sciences. 2007
- Evolutionary computation for quality of service internet routing optimization. Computational Methods in Applied Sciences. 2007
- Prediction of abnormal behaviors for intelligent video surveillance systems 2007
- Real-time intelligent decision support system for bridges structures behavior prediction. Computational Methods in Applied Sciences. 2007
- Topology aware internet traffic forecasting using neural networks. Computational Methods in Applied Sciences. 2007
- The OBSERVER: an intelligent and automated video surveillance system. Computational Methods in Applied Sciences. 2006
- Corporate bankruptcy prediction using data mining techniques. WIT Transactions on Information and Communication Technologies. 2006
- Efficient OSPF weight allocation for intra-domain QoS optimization. Computational Methods in Applied Sciences. 2006
- Intelligent decision support in Intensive Care Medicine 2006
- Internet traffic forecasting using neural networks. IEEE International Joint Conference on Neural Networks (IJCNN). 2006
- Multiple organ failure diagnosis using adverse events and neural networks 2006
- N-ary trees classifier 2006
- QoS constrained internet routing with evolutionary algorithms 2006
- Strength of corroded tapered plate girders under pure shear 2006
- Previsão da tenrura da carne de cordeiro via redes neuronais artificiais e análise de sensibilidade 2005
- Ecological mining: a case study on dam water quality. WIT Transactions on Information and Communication Technologies. 2005
- A Clustering Approach for Knowledge Discovery in Database Marketing. WIT Transactions on Information and Communication Technologies. 2005
- Data preparation for marketing database creation: a case study 2005
- Evolutionary Design of Neural Networks for Classification and Regression 2005
- Lamb meat tenderness prediction using neural networks and sensitivity analysis 2005
- Moving object detection unaffected by cast shadows, highlights and ghosts. IEEE International Conference on Image Processing (ICIP). 2005
- Simultaneous evolution of neural network topologies and weights for classification and regression. Computational Methods in Applied Sciences. 2005
- An architecture for co-evolving agents in the ROBOCUP Simulation League 2004
- Data pre-processing for database marketing 2004
- Ensembles of artificial neural networks with heterogeneous topologies 2004
- Multiple organ failure diagnosis using adverse events and neural networks 2004
- Adaptive Learning in Changing Environments 2003
- Evolutionary neural network learning 2003
- Organ Failure Diagnosis by Artificial Neural Networks 2003
- Particle swarms for feedforward neural network training. IEEE International Joint Conference on Neural Networks (IJCNN). 2002
- Real-Time Forecasting by Bio-Inspired Models 2002
- A Meta-Genetic Algorithm for Time Series Forecasting 2001
- Sitting guest at a wedding party : experiments on genetic and evolutionary constrained optimization 2001
- Lamarckian training of feedforward neural networks 2001
- Evolving Time Series Forecasting Neural Network Models 2001
- Genetic and evolutionary algorithms for time series forecasting. Computational Methods in Applied Sciences. 2001
- Lamarkian Training of Feedforward Neural Networks 2001
- Sitting guests at a wedding party: Experiments on genetic and evolutionary constrained optimization 2001
- The relationship between learning and evolution in static and dynamic environments 2000
- Viewing scheduling problems through Genetic and Evolutionary Algorithms. Computational Methods in Applied Sciences. 2000
- An evolutionary and connectionist approach for time series forecasting 1999
- An Architecture for Co-Evolving Agents in the ROBOCUP Simulation League 1999
- An Unified Framework for Data Modeling on Medical Information Systems 1999
- Utilização de Máquina de Vetores de Suporte na Previsão do Comportamento Mecânico de Formulações Laboratoriais de Solo-Cimento para Colunas de Jet Grouting 1999
- Combining Genetic Algorithms, Neural Networks and Data Filtering for Time Series Forecasting 1998
- A Distributed Web-based Quality Water Diagnosis System in Lakes and Reservoirs 1998
- A distributed web-based water quality diagnosis and simulation system in lakes and reservoirs 1998
- An artificial neural-network genetic based approach for time series forecasting 1997
- Artificial intelligence in knowledge management for Time Series Forecasting 1997
- Artificial neural network - genetic based approach for time series forecasting 1997
- A software agent distributed system for dynamic load balancing 1996
- An evolutionary artificial neural network time series forecasting system 1996
- Time series forecasting in a distributed environment 1996
- A neural network based time series forecasting system 1995
- Neural network based time series forecasting system 1995
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artigo de revista
- A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics. Expert Systems with Applications. 2023
- Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunities. Expert Systems with Applications. 2023
- Discovering ethnic minority business research directions using text mining and topic modelling. Journal of Research in Marketing and Entrepreneurship. 2023
- Predicting Weighing Deviations in the Dispatch Workflow Process: A Case Study in a Cement Industry. IEEE Access. 2023
- Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing. Software Impacts. 2022
- Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio. Expert Systems with Applications. 2022
- Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection. Computers. 2022
- Author placement in Computer Science: a study based on the careers of ACM Fellows. Scientometrics. 2022
- RanCoord — A random geographic coordinates generator for transport and logistics research and development activities[Formula presented]. Software Impacts. 2022
- Using supervised and one-class automated machine learning for predictive maintenance. Applied Soft Computing. 2022
- Advancing Logistics 4.0 with the Implementation of a Big Data Warehouse: A Demonstration Case for the Automotive Industry. Electronics. 2021
- Predictive and prescriptive analytics in transportation geotechnics: Three case studies. Transportation Engineering. 2021
- A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process. Operations Research Perspectives. 2021
- A data-driven approach to measure restaurant performance by combining online reviews with historical sales data. International Journal of Hospitality Management. 2021
- Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction. Expert Systems with Applications. 2021
- A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain. Decision Support Systems. 2021
- Business analytics in Industry 4.0: A systematic review. Electronics. 2021
- K-means clustering combined with principal component analysis for material profiling in automotive supply chains. European Journal of Industrial Engineering. 2021
- Alphabetic order of authors in scholarly publications: A bibliometric study for 27 scientific fields. Scientometrics. 2020
- A Google Trends spatial clustering approach for a worldwide Twitter user geolocation. Information Processing & Management. 2020
- Operations research models and methods for safety stock determination: A review. Operations Research Perspectives. 2020
- Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers. Expert Systems with Applications. 2020
- Multi-step time series prediction intervals using neuroevolution. Expert Systems with Applications. 2020
- A deep learning classifier for sentence classification in biomedical and computer science abstracts. Expert Systems with Applications. 2019
- A text mining and topic modelling perspective of ethnic marketing research. Journal of Business Research. 2019
- Social Media Cross-Source and Cross-Domain Sentiment Classification. International Journal of Information Technology & Decision Making. 2019
- Twitter user geolocation using web country noun searches. Decision Support Systems. 2019
- A cross-cultural case study of consumers' communications about a new technological product. Journal of Business Research. 2018
- A divide-and-conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing. Electronics. 2018
- Automatic human trajectory destination prediction from video. Expert Systems with Applications. 2018
- Data-Driven Model for Stability Condition Prediction of Soil Embankments Based on Visual Data Features. Journal of Computing in Civil Engineering. 2018
- Insights from a text mining survey on Expert Systems research from 2000 to 2016. Electronics. 2018
- Jet grouting column diameter prediction based on a data-driven approach. European Journal of Environmental and Civil Engineering. 2018
- Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis. European Research on Management and Business Economics. 2018
- Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing. Journal of Computing in Civil Engineering. 2018
- Unveiling the features of successful eBay smartphone sellers. Journal of Retailing and Consumer Services. 2018
- The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices. Expert Systems with Applications. 2017
- A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features. Expert Systems with Applications. 2017
- Comparing univariate techniques for tender price index forecasting: Box-Jenkins and neural network model. Construction Economics and Building. 2017
- Label Ranking Forests. Electronics. 2017
- Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete. Cement & Concrete Composites. 2016
- A framework for improving routing configurations using multi-objective optimization mechanisms. Journal of Communications Software and Systems. 2016
- Stock market sentiment lexicon acquisition using microblogging data and statistical measures. Decision Support Systems. 2016
- An evolutionary multi-objective optimization system for earthworks. Expert Systems with Applications. 2015
- Automatic visual detection of human behavior: A review from 2000 to 2014. Expert Systems with Applications. 2015
- Business intelligence in banking: A literature analysis from 2002 to 2013 using Text Mining and latent Dirichlet allocation. Expert Systems with Applications. 2015
- Modelling Tyre-Road Noise with Data Mining Techniques. Archives of Acoustics. 2015
- The data mining applied for the prediction of highway roughness due to overloaded trucks. International Journal of Technology. 2015
- A Novel Approach to Predicting Young’s Modulus of Jet Grouting Laboratory Formulations over Time using Data Mining Techniques. Engineering Geology. 2014
- A data-driven approach to predict the success of bank telemarketing. Decision Support Systems. 2014
- Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters. Expert Systems with Applications. 2014
- Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting. Applied Soft Computing. 2014
- Global and decomposition evolutionary support vector machine approaches for time series forecasting. Expert Systems with Applications. 2014
- Predicting inpatient length of stay in a Portuguese hospital using the CRISP-DM methodology,Previsão de tempos de internamento num hospital português: Aplicação da metodologia CRISP-DM. RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação. 2014
- Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns. Computers and Geotechnics. 2014
- Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns. Expert Systems with Applications. 2014
- A data mining approach for bank telemarketing using the rminer package and R tool 2013
- Artificial intelligence applications in transportation geotechnics. Geotechnical and Geological Engineering. 2013
- Email spam detection: A symbiotic feature selection approach fostered by evolutionary computation. International Journal of Information Technology & Decision Making. 2013
- Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations. Expert Systems with Applications. 2013
- Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble. Neurocomputing. 2013
- Using sensitivity analysis and visualization techniques to open black box data mining models. Information Sciences. 2013
- Multi-scale Internet traffic forecasting using neural networks and time series methods. Electronics. 2012
- Previsão do comportamento mecânico de formulações laboratoriais de solo-cimento para colunas de jet grouting com recurso a máquina de vetores de suporte 2012
- Symbiotic filtering for spam email detection. Expert Systems with Applications. 2011
- Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time. Cement & Concrete Composites. 2011
- New models for strength and deformability parameter calculation in rock masses using data-mining techniques. International Journal of Geomechanics. 2011
- Quality of Service constrained routing optimization using Evolutionary Computation. Applied Soft Computing. 2011
- Towards symbiotic spam e-mail filtering 2010
- Data mining via redes neuronais artificiais e máquinas de vectores de suporte 2009
- Modeling wine preferences by data mining from physicochemical properties. Decision Support Systems. 2009
- Rating organ failure via adverse events using data mining in the intensive care unit. Artificial Intelligence in Medicine. 2008
- Automatic provisioning of QoS aware OSPF configurations. Journal of Networks. 2007
- Evolution of Neural Networks for Classification and Regression. Neurocomputing. 2007
- Lamb meat quality assessment by Support Vector Machines. Neural Processing Letters. 2006
- Mortality assessment in intensive care units via adverse events using artificial neural networks. Artificial Intelligence in Medicine. 2006
- INTCare: A knowledge discovery based intelligent decision support system for intensive care medicine. Journal of Decision Systems. 2005
- Evolutionary neural network learning algorithms for changing environments. WSEAS Transactions on Systems. 2004
- Evolving time series forecasting ARMA models. Journal of Heuristics. 2004
- A Lamarckian Approach for Neural Network Training.. Neural Processing Letters. 2002
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capítulo de livro
- Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case 2023
- An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption. IFIP Advances in Information and Communication Technology. 2021
- An Intelligent Decision Support System for Production Planning in Garments Industry. Computational Methods in Applied Sciences. 2021
- Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection. IFIP Advances in Information and Communication Technology. 2021
- Prediction of Maintenance Equipment Failures Using Automated Machine Learning. Computational Methods in Applied Sciences. 2021
- Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples. IFIP Advances in Information and Communication Technology. 2020
- Combining Artificial Neural Networks and Genetic Algorithms for Rock Cuttings Slopes Stability Condition Identification. Springer Series in Geomechanics and Geoengineering. 2020
- Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features. IFIP Advances in Information and Communication Technology. 2020
- Prediction of Surface Distress Using Neural Networks. AIP Conference Proceedings. 2017
- A Novel Integrated Optimization System for Earthwork Tasks. Transportation Research Procedia. 2016
- An automated literature analysis on data mining applications to credit risk assessment 2016
- Sentiment analysis of stock market behavior from twitter using the R tool 2016
- Data Mining with Multilayer Perceptrons and Support Vector Machines. Intelligent Systems Reference Library. 2012
- Using data mining techniques to predict deformability properties of jet grouting laboratory formulations over time. Computational Methods in Applied Sciences. 2011
- Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks 2006
- Time Series Forecasting by Evolutionary Neural Networks 2006
- Evolutionary neural network learning. Computational Methods in Applied Sciences. 2003
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documento
- A Machine Learning Strategy for Estimating Supply Lead Times Towards Improved Safety Stock Dimensioning 2022
- Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection In Machine Condition Sounds 2020
- Preface. Springer Series in Geomechanics and Geoengineering. 2020
- Preface [Intelligent Technologies for Interactive Entertainment]. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering. 2019
- Exercícios resolvidos em Prolog sobre Sistemas Baseados em Conhecimento: regras de produção, extração de conhecimento, procura e otimização 2018
- Artificial Neural Networks Applied to an Earthwork Construction Database 2014
- Update of Data Mining Models for the Prediction of Laboratory Soil-Cement Mechanical Properties 2014
- Use of Data Mining in Design of Soil Improvement by Jet Grouting 2014
- Preface to the Workshop on Domain Driven Data Mining. Proceedings - IEEE International Conference on Data Mining, ICDM. 2011
- Exercícios resolvidos em Prolog sobre sistemas baseados em conhecimento 2008
- Exemplos práticos de programação visual em C# 2008
- DATA MINING no GUIDE TERRASSEMENTS 2007
- Redes Neuronais Artificiais 2000
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livro
- A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities 2023
- Predicting Multiple Domain Queue Waiting Time via Machine Learning 2023
- A Comparison of Automated Time Series Forecasting Tools for Smart Cities 2022
- A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting 2022
- An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets 2022
- An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories 2022
- An Intelligent Decision Support System for Road Freight Transport 2022
- Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support 2022
- Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning 2022
- A Comparison of Anomaly Detection Methods for Industrial Screw Tightening 2021
- A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality 2021
- A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data 2021
- A Scalable and Automated Machine Learning Framework to Support Risk Management 2021
- Modern Optimization with R 2021
- Information Technology in Geo-Engineering 2020
- Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location 2020
- A Categorical Clustering of Publishers for Mobile Performance Marketing 2019
- Artificial Neural Networks for Rock and Soil Cutting Slopes Stability Condition Prediction 2019
- Using Deep Learning for Ordinal Classification of Mobile Marketing User Conversion 2019
- Using Neuroevolution for Predicting Mobile Marketing Conversion 2019
- Forecasting store foot traffic using facial recognition, time series and support vector machines 2017
- Multi-objective learning of neural network time series prediction intervals 2017
- Comparison of Single and Multi-objective Evolutionary Algorithms for Robust Link-state Routing 2016
- Earthwork optimization system for sustainable highway construction 2015
- Using data mining for prediction of hospital length of stay: An application of the CRISP-DM methodology 2015
- A framework for robust traffic engineering using evolutionary computation 2013
- On the predictability of stock market behavior using StockTwits sentiment and posting volume 2013
- Robust optimization of intradomain routing using Evolutionary Algorithms 2013
- Evolutionary support vector machines for time series forecasting 2012
- Traffic engineering approaches using multicriteria optimization techniques 2011
- Spam email filtering using network-level properties 2010
- Multiconstrained optimization of networks with multicast and unicast traffic 2008
- The OBSERVER: An intelligent and automated video surveillance system 2006
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relatório
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teses