Algoritmi | User | Paulo Alexandre Ribeiro Cortez
Paulo Alexandre Ribeiro Cortez
Paulo Alexandre Ribeiro Cortez
At Algoritmi
Senior Researcher with Dr habil
Associate Director of the ALGORITMI Research Centre
Member of the IST R&D Group
Member of the IDS R&D Lab
Academic Degree
Dr habil
Current Position
Full Professor at Escola de Engenharia da Universidade do Minho
Personal Webpage
http://www3.dsi.uminho.pt/pcortezPersonal Email
Paulo.Cortez@algoritmi.uminho.ptOrcid
0000-0002-7991-2090Researcher ID
A-2674-2008Ciência ID
6E19-EB4D-C22EGoogle Scholar
fQ42U-8AAAAJh-index
35Publications
231Editorial
12Citations
0Q1 / Q2
100About Me 
Paulo Cortez is Full Professor at the Department of Information Systems, University of Minho. He is also assistant director of the ALGORITMI R&D centre. His research interests are: Business Analytics, Data Science, Decision Support Systems, Neural Networks and Machine Learning, Evolutionary Algorithms and Artificial Intelligence Applications. He is co-author of more than 211 indexed (e.g., ISI, Scopus) publications in international peer reviewed journals (e.g., Journal of Heuristics, Decision Support Systems, Neurocomputing, Information Sciences, Information Processing & Management) and conferences (e.g., IEEE IJCNN, ACM GECCO). He is author of the rminer R package and he also has written the book "Modern Optimization with R", Springer, 2021. Currently, he has more than 13K Google Scholar citations (h-index of 46) and 6,400 Scopus citations (h-index of 33, without self-citations). He he has participated in more than 36 R&D projects and has supervised 6 Postdoctoral works, 16 PhD thesis, 60 MSc thesis and 18 BSc final graduation projects in the area of Intelligent Data Analysis. He is Associate Editor of the journals Decision Support Systems (ranked A* at CORE, JCR Q1), Expert Systems (JCR Q2) and Data Science and Analytics (JCR Q2), and was formerly Associate Editor of Neural Processing Letters (JCR Q2). From 2012 to 2015, he was Vice-president of the Portuguese Association for Artificial Intelligence (www.appia.pt). He was also evaluator of 96 R&D project proposals and reports from the Scientific National entities of Canada, Cyprus, France, Israel, Italy, Kazakhstan, Poland, Portugal, Romania and The Netherlands. He has been a regular reviewer of ISI JCR journals such as: IEEE Trans. Neural Networks and Learning Systems, Information Sciences, Decision Support Systems, Data & Knowledge Engineering, Machine Learning, Applied Soft Computing, Neurocomputing, and Knowledge and Information Systems. Moreover, he has been Program Committee/Reviewer of 227 int. conferences/workshops, such as: IJCAI 2023 (CORE A*), VLDB 2018 (CORE A*) and ICONIP 2017 (CORE A). From 2018 to 2023, he was considered a top 2% world influential researcher in the area of Artificial Intelligence and Information Technology, according to the list versions 1 to 6 of the known Stanford PLOS Biology study.
Publications (231)
Proactive prevention of work-related musculoskeletal disorders using a motion capture system and time series machine learning
Engineering Applications of Artificial Intelligence
2024 | journal-article
Data science approaches for sustainable development
Expert Systems
2024 | journal-article
A data‐driven approach to improve online consumer subscriptions by combining data visualization and machine learning methods
International Journal of Consumer Studies
2024 | journal-article
A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023 | book
A Deep Learning-Based Decision Support System for Mobile Performance Marketing
International Journal of Information Technology and Decision Making
2023 | journal-article
A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics
Neural Computing and Applications
2023 | journal-article
A decision support system based on a multivariate supervised regression strategy for estimating supply lead times
Engineering Applications of Artificial Intelligence
2023 | journal-article
AI4CITY - An Automated Machine Learning Platform for Smart Cities
Proceedings of the ACM Symposium on Applied Computing
2023 | conference-paper
An Evolutionary Neural Network Approach for Slopes Stability Assessment
Applied Sciences (Switzerland)
2023 | journal-article
AutoOC: A Python module for automated multi-objective One-Class Classification[Formula presented]
Software Impacts
2023 | journal-article
AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution
Applied Soft Computing
2023 | journal-article
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 | journal-article
Discovering ethnic minority business research directions using text mining and topic modelling
Journal of Research in Marketing and Entrepreneurship
2023 | journal-article
Early warning system for preventing bank distress in Brazil
International Journal of Business and Systems Research
2023 | journal-article
Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence
Expert Systems
2023 | journal-article
International revenue share fraud prediction on the 5G edge using federated learning
Computing
2023 | journal-article
Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case
IFIP Advances in Information and Communication Technology
2023 | book
Predicting Multiple Domain Queue Waiting Time via Machine Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023 | book
Predicting Weighing Deviations in the Dispatch Workflow Process: A Case Study in a Cement Industry
IEEE Access
2023 | journal-article
RTSIMU: Real-Time Simulation tool for IMU sensors[Formula presented]
Software Impacts
2023 | journal-article
A Comparison of Automated Time Series Forecasting Tools for Smart Cities
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022 | book
A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors
Proceedings of the International Joint Conference on Neural Networks
2022 | conference-paper
A Machine Learning Strategy for Estimating Supply Lead Times Towards Improved Safety Stock Dimensioning
SSRN
2022 | other
A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022 | book
A federated machine learning approach to detect international revenue share fraud on the 5G edge
Proceedings of the ACM Symposium on Applied Computing
2022 | conference-paper
An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets
IFIP Advances in Information and Communication Technology
2022 | book
An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories
IFIP Advances in Information and Communication Technology
2022 | book
An Intelligent Decision Support System for Road Freight Transport
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022 | book
Author placement in Computer Science: a study based on the careers of ACM Fellows
Scientometrics
2022 | journal-article
Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support
Lecture Notes in Business Information Processing
2022 | book
Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing[Formula presented]
Software Impacts
2022 | journal-article
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio
Neural Computing and Applications
2022 | journal-article
Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection
Computers
2022 | journal-article
Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach
Procedia Computer Science
2022 | conference-paper
Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning
IFIP Advances in Information and Communication Technology
2022 | book
RanCoord — A random geographic coordinates generator for transport and logistics research and development activities[Formula presented]
Software Impacts
2022 | journal-article
Using supervised and one-class automated machine learning for predictive maintenance
Applied Soft Computing
2022 | journal-article
A Comparison of Anomaly Detection Methods for Industrial Screw Tightening
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost
Proceedings of the International Joint Conference on Neural Networks
2021 | conference-paper
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
A Scalable and Automated Machine Learning Framework to Support Risk Management
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
A data-driven approach to measure restaurant performance by combining online reviews with historical sales data
International Journal of Hospitality Management
2021 | journal-article
A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain
Decision Support Systems
2021 | journal-article
A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process
Operations Research Perspectives
2021 | journal-article
Advancing logistics 4.0 with the implementation of a big data warehouse: A demonstration case for the automotive industry
Electronics (Switzerland)
2021 | journal-article
An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption
IFIP Advances in Information and Communication Technology
2021 | book
An Intelligent Decision Support System for Production Planning in Garments Industry
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
Business analytics in Industry 4.0: A systematic review
Expert Systems
2021 | journal-article
Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection
IFIP Advances in Information and Communication Technology
2021 | book
K-means clustering combined with principal component analysis for material profiling in automotive supply chains
European Journal of Industrial Engineering
2021 | journal-article
Modern Optimization with R
Springer International Publishing
2021 | book
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction
Expert Systems with Applications
2021 | journal-article
Prediction of Maintenance Equipment Failures Using Automated Machine Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
Predictive and prescriptive analytics in transportation geotechnics: Three case studies
Transportation Engineering
2021 | journal-article
Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers
Neural Computing and Applications
2021 | journal-article
Using deep autoencoders for in-vehicle audio anomaly detection
Procedia Computer Science
2021 | conference-paper
A Google Trends spatial clustering approach for a worldwide Twitter user geolocation
Information Processing and Management
2020 | journal-article
A cross-cultural case study of consumers' communications about a new technological product
Journal of Business Research
2020 | journal-article
A deep learning classifier for sentence classification in biomedical and computer science abstracts
Neural Computing and Applications
2020 | journal-article
A realistic scooter rebalancing system via metaheuristics
GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
2020 | conference-paper
Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields
Scientometrics
2020 | journal-article
An automated and distributed machine learning framework for telecommunications risk management
ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence
2020 | conference-paper
Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples
IFIP Advances in Information and Communication Technology
2020 | book
Combining Artificial Neural Networks and Genetic Algorithms for Rock Cuttings Slopes Stability Condition Identification
Springer Series in Geomechanics and Geoengineering
2020 | book
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection In Machine Condition Sounds
arXiv
2020 | other
Fifth special issue on knowledge discovery and business intelligence
Expert Systems
2020 | journal-article
Multi-step time series prediction intervals using neuroevolution
Neural Computing and Applications
2020 | journal-article
Operations research models and methods for safety stock determination: A review
Operations Research Perspectives
2020 | journal-article
Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features
IFIP Advances in Information and Communication Technology
2020 | book
Predicting the tear strength of woven fabrics via automated machine learning: An application of the CRISP-DM methodology
ICEIS 2020 - Proceedings of the 22nd International Conference on Enterprise Information Systems
2020 | conference-paper
Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | book
A Categorical Clustering of Publishers for Mobile Performance Marketing
Advances in Intelligent Systems and Computing
2019 | book
A Machine Learning Approach to Detect Violent Behaviour from Video
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
2019 | book
A text mining and topic modelling perspective of ethnic marketing research
Journal of Business Research
2019 | journal-article
Artificial Neural Networks for Rock and Soil Cutting Slopes Stability Condition Prediction
Sustainable Civil Infrastructures
2019 | book
Artificial neural networks for soil embankments stability condition identification,Réseaux de neurones artificiels pour l'identification des conditions de stabilité des remblais de sol
17th European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2019 - Proceedings
2019 | conference-paper
Social Media Cross-Source and Cross-Domain Sentiment Classification
International Journal of Information Technology and Decision Making
2019 | journal-article
Twitter user geolocation using web country noun searches
Decision Support Systems
2019 | journal-article
Using Deep Learning for Mobile Marketing User Conversion Prediction
Proceedings of the International Joint Conference on Neural Networks
2019 | conference-paper
Using Neuroevolution for Predicting Mobile Marketing Conversion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | book
Using deep learning for ordinal classification of mobile marketing user conversion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | book
A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction
9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings
2018 | conference-paper
A deep learning approach for sentence classification of scientific abstracts
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | book
A divide-and-conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing
Expert Systems
2018 | journal-article
Automatic human trajectory destination prediction from video
Expert Systems with Applications
2018 | journal-article
Data-Driven Model for Stability Condition Prediction of Soil Embankments Based on Visual Data Features
Journal of Computing in Civil Engineering
2018 | journal-article
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 | journal-article
Fourth special issue on knowledge discovery and business intelligence
Expert Systems
2018 | journal-article
Insights from a text mining survey on Expert Systems research from 2000 to 2016
Expert Systems
2018 | journal-article
Jet grouting column diameter prediction based on a data-driven approach
European Journal of Environmental and Civil Engineering
2018 | journal-article
Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis
European Research on Management and Business Economics
2018 | journal-article
Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing
Journal of Computing in Civil Engineering
2018 | journal-article
Unveiling the features of successful eBay smartphone sellers
Journal of Retailing and Consumer Services
2018 | journal-article
A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features
Neural Computing and Applications
2017 | journal-article
A text mining approach to analyzing Annals literature
Annals of Tourism Research
2017 | journal-article
Comparing univariate techniques for tender price index forecasting: Box-Jenkins and neural network model
Construction Economics and Building
2017 | journal-article
Data-driven classification approaches for stability condition prediction of soil cutting slopes
ICSMGE 2017 - 19th International Conference on Soil Mechanics and Geotechnical Engineering
2017 | conference-paper
Forecasting store foot traffic using facial recognition, time series and support vector machines
Advances in Intelligent Systems and Computing
2017 | book
Human skeleton detection from semi-constrained environment video
VISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
2017 | conference-paper
Label Ranking Forests
Expert Systems
2017 | journal-article
Mining rational team concert repositories: A case study on a software project
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | book
Multi-objective learning of neural network time series prediction intervals
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | book
Prediction of surface distress using neural networks
AIP Conference Proceedings
2017 | conference-paper
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 | journal-article
Third special issue on knowledge discovery and business intelligence
Expert Systems
2017 | journal-article
A Novel Integrated Optimization System for Earthwork Tasks
Transportation Research Procedia
2016 | conference-paper
A framework for improving routing configurations using multi-objective optimization mechanisms
Journal of Communications Software and Systems
2016 | journal-article
Measuring user influence in financial microblogs: Experiments using StockTwits data
ACM International Conference Proceeding Series
2016 | conference-paper
Metaheuristics, Data Mining and Geographic Information Systems for Earthworks Equipment Allocation
Procedia Engineering
2016 | conference-paper
Sentiment analysis of stock market behavior from twitter using the R tool
Text Mining and Visualization: Case Studies Using Open-Source Tools
2016 | book
Stock market sentiment lexicon acquisition using microblogging data and statistical measures
Decision Support Systems
2016 | journal-article
Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete
Construction and Building Materials
2016 | journal-article
A tutorial on using the rminer R package for data mining tasks
2015 | report
A proactive intelligent decision support system for predicting the popularity of online news
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | book
An evolutionary multi-objective optimization system for earthworks
Expert Systems with Applications
2015 | journal-article
Automatic human action recognition from video using Hidden Markov Model
Proceedings - IEEE 18th International Conference on Computational Science and Engineering, CSE 2015
2015 | conference-paper
Automatic visual detection of human behavior: A review from 2000 to 2014
Expert Systems with Applications
2015 | journal-article
Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation
Expert Systems with Applications
2015 | journal-article
Combining data mining and evolutionary computation for multi-criteria optimization of earthworks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | book
Comparison of single and multi-objective evolutionary algorithms for robust link-state routing
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | book
Earthwork optimization system for sustainable highway construction
Geotechnical Synergy in Buenos Aires 2015
2015 | book
Modelling Tyre-Road Noise with Data Mining Techniques
Archives of Acoustics
2015 | journal-article
Modern optimization in earthwork construction
Geotechnical Engineering for Infrastructure and Development - Proceedings of the XVI European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2015
2015 | conference-paper
Recent advances on knowledge discovery and business intelligence
Expert Systems
2015 | journal-article
The data mining applied for the prediction of highway roughness due to overloaded trucks
International Journal of Technology
2015 | journal-article
Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns
Neural Computing and Applications
2015 | journal-article
Using data mining for prediction of hospital length of stay: An application of the CRISP-DM methodology
Lecture Notes in Business Information Processing
2015 | book
A data-driven approach to predict hospital length of stay a portuguese case study
ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems
2014 | conference-paper
A data-driven approach to predict the success of bank telemarketing
Decision Support Systems
2014 | journal-article
A novel approach to predicting Young's modulus of jet grouting laboratory formulations over time using data mining techniques
Engineering Geology
2014 | journal-article
Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters
Expert Systems with Applications
2014 | journal-article
Automatic creation of stock market lexicons for sentiment analysis using stocktwits data
ACM International Conference Proceeding Series
2014 | conference-paper
Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting
Applied Soft Computing Journal
2014 | journal-article
Evolving Artificial Neural Networks applied to generate virtual characters
IEEE Conference on Computatonal Intelligence and Games, CIG
2014 | conference-paper
Global and decomposition evolutionary support vector machine approaches for time series forecasting
Neural Computing and Applications
2014 | journal-article
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 Iberica de Sistemas e Tecnologias de Informacao
2014 | journal-article
Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns
Computers and Geotechnics
2014 | journal-article
Use of DM techniques in earthworks management: A case study
Geotechnical Special Publication
2014 | conference-paper
A framework for robust traffic engineering using evolutionary computation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013 | book
Artificial intelligence applications in transportation geotechnics
Geotechnical and Geological Engineering
2013 | journal-article
Data-driven models for Uniaxial Compressive Strength prediction applied to unseen data
Modelling and Simulation 2013 - European Simulation and Modelling Conference, ESM 2013
2013 | conference-paper
Email spam detection: A symbiotic feature selection approach fostered by evolutionary computation
International Journal of Information Technology and Decision Making
2013 | journal-article
Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations
Expert Systems with Applications
2013 | journal-article
Knowledge discovery and business intelligence
Expert Systems
2013 | journal-article
On the predictability of stock market behavior using StockTwits sentiment and posting volume
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013 | book
Preface
CEUR Workshop Proceedings
2013 | conference-paper
Robust optimization of intradomain routing using Evolutionary Algorithms
Advances in Intelligent Systems and Computing
2013 | book
Short-term electric load forecasting using computational intelligence methods
IEEE International Conference on Fuzzy Systems
2013 | conference-paper
Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble
Neurocomputing
2013 | journal-article
Using sensitivity analysis and visualization techniques to open black box data mining models
Information Sciences
2013 | journal-article
Data Mining with Multilayer Perceptrons and Support Vector Machines
Intelligent Systems Reference Library
2012 | book
Evolutionary support vector machines for time series forecasting
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012 | book
Evolutionary symbiotic feature selection for email spam detection
ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics
2012 | conference-paper
Jet grouting deformability modulus prediction using data mining tools
Advances in Transportation Geotechnics II - Proceedings of the 2nd International Conference on Transportation Geotechnics, ICTG 2012
2012 | conference-paper
Jet grouting mechanicals properties prediction using data mining techniques
Geotechnical Special Publication
2012 | conference-paper
Multi-scale Internet traffic forecasting using neural networks and time series methods
Expert Systems
2012 | journal-article
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 | conference-paper
A data mining approach for predicting jet grouting geomechanical parameters
Geotechnical Special Publication
2011 | conference-paper
Application of data mining techniques in the estimation of mechanical properties of Jet Grouting laboratory formulations over time
Advances in Intelligent and Soft Computing
2011 | book
Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time
Construction and Building Materials
2011 | journal-article
Evolving sparsely connected neural networks for multi-step ahead forecasting
Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication
2011 | conference-paper
Evolving time-lagged feedforward neural networks for time series forecasting
Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication
2011 | conference-paper
Forecasting seasonal time series with computational intelligence: Contribution of a combination of distinct methods
Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2011 and French Days on Fuzzy Logic and Applications, LFA 2011
2011 | conference-paper
Multiobjective evolutionary algorithms for intradomain routing optimization
2011 IEEE Congress of Evolutionary Computation, CEC 2011
2011 | conference-paper
Opening black box Data Mining models using Sensitivity Analysis
IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining
2011 | conference-paper
Preface
Proceedings - IEEE International Conference on Data Mining, ICDM
2011 | conference-paper
Quality of Service constrained routing optimization using Evolutionary Computation
Applied Soft Computing Journal
2011 | journal-article
Symbiotic filtering for spam email detection
Expert Systems with Applications
2011 | journal-article
Traffic engineering approaches using multicriteria optimization techniques
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011 | book
UNI-AXIAL compressive strength prediction of jet grouting columns using support vector machines
ESM 2011 - 2011 European Simulation and Modelling Conference: Modelling and Simulation 2011
2011 | conference-paper
Using data mining for bank direct marketing: An application of the CRISP-DM methodology
ESM 2011 - 2011 European Simulation and Modelling Conference: Modelling and Simulation 2011
2011 | conference-paper
Using data mining techniques to predict deformability properties of jet grouting laboratory formulations over time
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011 | book
Weighted cross-validation evolving artificial neural networks to forecast time series
Advances in Intelligent and Soft Computing
2011 | book
A collaborative approach for spam detection
Proceedings - 2nd International Conference on Evolving Internet, Internet 2010, 1st International Conference on Access Networks, Services and Technologies, Access 2010
2010 | conference-paper
Data mining with neural networks and support vector machines using the R/rminer tool
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | book
New models for strength and deformability parameter calculation in rock masses using data-mining techniques
International Journal of Geomechanics
2010 | journal-article
Sensitivity analysis for time lag selection to forecast seasonal time series using neural networks and support vector machines
Proceedings of the International Joint Conference on Neural Networks
2010 | conference-paper
Spam email filtering using network-level properties
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | book
Using multiple regression, neural networks and support vector machines to predict lamb carcasses composition
6th International Conference on Simulation and Modelling in the Food and Bio-Industry 2010, FOODSIM 2010
2010 | conference-paper
A data mining approach for jet grouting uniaxial compressive strength prediction
2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
2009 | conference-paper
An intelligent alarm management system for large-scale telecommunication companies
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009 | book
Data mining applied to compaction of geomaterials
Bearing Capacity of Roads, Railways and Airfields - Proceedings of the 8th International Conference on the Bearing Capacity of Roads, Railways and Airfields
2009 | conference-paper
Modeling wine preferences by data mining from physicochemical properties
Decision Support Systems
2009 | journal-article
Symbiotic Data Mining for personalized spam filtering
Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009
2009 | conference-paper
Using data mining for wine quality assessment
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009 | book
An evolutionary algorithm for unicast/ multicast traffic engineering
ICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics
2008 | conference-paper
An intelligent decision support system for bridge safety assessment based on Data Mining models
WIT Transactions on Information and Communication Technologies
2008 | conference-paper
Forecasting internet traffic by neural networks under univariate and multivariate strategies
Artificial Neural Networks and Intelligent Information Processing - Proc. 4th Int. Workshop on Artificial Neural Networks and Intelligent Information Processing, ANNIIP 2008; ICINCO 2008
2008 | conference-paper
Multiconstrained optimization of networks with multicast and unicast traffic
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2008 | book
Rating organ failure via adverse events using data mining in the intensive care unit
Artificial Intelligence in Medicine
2008 | journal-article
Using data mining to predict secondary school student performance
15th European Concurrent Engineering Conference 2008, ECEC 2008 - 5th Future Business Technology Conference, FUBUTEC 2008
2008 | conference-paper
Alternative models for the calculation of the RMR and Q indexes for granite rock masses
Applications of Computational Mechanics in Geotechnical Engineering - Proceedings of the 5th International Workshop on Applications of Computational Mechanics in Geotechnical Engineering
2007 | conference-paper
Automatic provisioning of QoS aware OSPF configurations
Journal of Networks
2007 | journal-article
Class-based OSPF traffic engineering inspired on evolutionary computation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | book
Evolution of neural networks for classification and regression
Neurocomputing
2007 | journal-article
Evolutionary computation for quality of service internet routing optimization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | book
Prediction of abnormal behaviors for intelligent video surveillance systems
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
2007 | conference-paper
Real-time intelligent decision support system for bridges structures behavior prediction
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | book
Topology aware internet traffic forecasting using neural networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | book
Corporate bankruptcy prediction using data mining techniques
WIT Transactions on Information and Communication Technologies
2006 | conference-paper
Efficient OSPF weight allocation for intra-domain QoS optimization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2006 | book
Internet traffic forecasting using neural networks
IEEE International Conference on Neural Networks - Conference Proceedings
2006 | conference-paper
Lamb meat quality assessment by Support Vector Machines
Neural Processing Letters
2006 | journal-article
Mortality assessment in intensive care units via adverse events using artificial neural networks
Artificial Intelligence in Medicine
2006 | journal-article
N-ary trees classifier
ICINCO 2006 - 3rd International Conference on Informatics in Control, Automation and Robotics, Proceedings
2006 | conference-paper
QoS constrained internet routing with evolutionary algorithms
2006 IEEE Congress on Evolutionary Computation, CEC 2006
2006 | conference-paper
Selection of trees for rubbing by red and roe deer in forest plantations
Forest Ecology and Management
2006 | journal-article
Strength of corroded tapered plate girders under pure shear
Proceedings of the 3rd International Conference on Bridge Maintenance, Safety and Management - Bridge Maintenance, Safety, Management, Life-Cycle Performance and Cost
2006 | conference-paper
The OBSERVER: An intelligent and automated video surveillance system
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2006 | book
A clustering approach for knowledge discovery in database marketing
6th Conference on Data Mining - Text Mining and Their Business Applications
2005 | conference-paper
Ecological mining - a case study on dam water quality
6th Conference on Data Mining - Text Mining and Their Business Applications
2005 | conference-paper
Evolutionary design of neural networks for classification and regression
7th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA)
2005 | conference-paper
INTCare: A knowledge discovery based intelligent decision support system for intensive care medicine
Journal of Decision Systems
2005 | journal-article
Lamb meat tenderness prediction using neural networks and sensitivity analysis
2005 European Simulation and Modelling Conference, ESM 2005 - Proceedings
2005 | conference-paper
Moving object detection unaffected by cast shadows, highlights and ghosts
Proceedings - International Conference on Image Processing, ICIP
2005 | conference-paper
Simultaneous evolution of neural network topologies and weights for classification and regression
Lecture Notes in Computer Science
2005 | conference-paper
Time series forecasting by evolutionary neural networks
Artificial Neural Networks in Real-Life Applications
2005 | book
Evolving time series forecasting ARMA models
Journal of Heuristics
2004 | journal-article
Multiple organ failure diagnosis using adverse events and neural networks
ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
2004 | conference-paper
Evolutionary neural network learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2003 | book
A lamarckian approach for neural network training
Neural Processing Letters
2002 | journal-article
Particle swarms for feedforward neural network training
Proceedings of the International Joint Conference on Neural Networks
2002 | conference-paper
Genetic and evolutionary algorithms for time series forecasting
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2001 | book
Sitting guests at a wedding party: Experiments on genetic and evolutionary constrained optimization
Proceedings of the IEEE Conference on Evolutionary Computation, ICEC
2001 | conference-paper
Viewing scheduling problems through Genetic and Evolutionary Algorithms
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2000 | book
A unified framework for data modeling on medical information systems
Studies in Health Technology and Informatics
1999 | book
A distributed web-based water quality diagnosis and simulation system in lakes and reservoirs
10th European Simulation Symposium (ESS 98)
1998 | conference-paper
Artificial neural network - genetic based approach for time series forecasting
Proceedings of the Brazilian Symposium on Neural Networks, SBRN
1997 | conference-paper
A software agent distributed system for dynamic load balancing
10th European Simulation Multiconference
1996 | conference-paper
Neural network based time series forecasting system
IEEE International Conference on Neural Networks - Conference Proceedings
1995 | conference-paper
Supervisions (2)
9/5/24 20:21
History
| Init | End | Change | Value |
|---|
Proactive prevention of work-related musculoskeletal disorders using a motion capture system and time series machine learning
Engineering Applications of Artificial Intelligence
2024 | journal-article
Data science approaches for sustainable development
Expert Systems
2024 | journal-article
A data‐driven approach to improve online consumer subscriptions by combining data visualization and machine learning methods
International Journal of Consumer Studies
2024 | journal-article
A Comparison of Automated Machine Learning Tools for Predicting Energy Building Consumption in Smart Cities
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023 | book
A Deep Learning-Based Decision Support System for Mobile Performance Marketing
International Journal of Information Technology and Decision Making
2023 | journal-article
A data-driven intelligent decision support system that combines predictive and prescriptive analytics for the design of new textile fabrics
Neural Computing and Applications
2023 | journal-article
A decision support system based on a multivariate supervised regression strategy for estimating supply lead times
Engineering Applications of Artificial Intelligence
2023 | journal-article
AI4CITY - An Automated Machine Learning Platform for Smart Cities
Proceedings of the ACM Symposium on Applied Computing
2023 | conference-paper
An Evolutionary Neural Network Approach for Slopes Stability Assessment
Applied Sciences (Switzerland)
2023 | journal-article
AutoOC: A Python module for automated multi-objective One-Class Classification[Formula presented]
Software Impacts
2023 | journal-article
AutoOC: Automated multi-objective design of deep autoencoders and one-class classifiers using grammatical evolution
Applied Soft Computing
2023 | journal-article
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 | journal-article
Discovering ethnic minority business research directions using text mining and topic modelling
Journal of Research in Marketing and Entrepreneurship
2023 | journal-article
Early warning system for preventing bank distress in Brazil
International Journal of Business and Systems Research
2023 | journal-article
Editorial: Seventh special issue on Knowledge Discovery and Business Intelligence
Expert Systems
2023 | journal-article
International revenue share fraud prediction on the 5G edge using federated learning
Computing
2023 | journal-article
Machine Learning for Predicting Production Disruptions in the Wood-Based Panels Industry: A Demonstration Case
IFIP Advances in Information and Communication Technology
2023 | book
Predicting Multiple Domain Queue Waiting Time via Machine Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2023 | book
Predicting Weighing Deviations in the Dispatch Workflow Process: A Case Study in a Cement Industry
IEEE Access
2023 | journal-article
RTSIMU: Real-Time Simulation tool for IMU sensors[Formula presented]
Software Impacts
2023 | journal-article
A Comparison of Automated Time Series Forecasting Tools for Smart Cities
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022 | book
A Deep Learning Approach to Prevent Problematic Movements of Industrial Workers Based on Inertial Sensors
Proceedings of the International Joint Conference on Neural Networks
2022 | conference-paper
A Machine Learning Strategy for Estimating Supply Lead Times Towards Improved Safety Stock Dimensioning
SSRN
2022 | other
A Sequence to Sequence Long Short-Term Memory Network for Footwear Sales Forecasting
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022 | book
A federated machine learning approach to detect international revenue share fraud on the 5G edge
Proceedings of the ACM Symposium on Applied Computing
2022 | conference-paper
An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets
IFIP Advances in Information and Communication Technology
2022 | book
An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories
IFIP Advances in Information and Communication Technology
2022 | book
An Intelligent Decision Support System for Road Freight Transport
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2022 | book
Author placement in Computer Science: a study based on the careers of ACM Fellows
Scientometrics
2022 | journal-article
Bosch’s Industry 4.0 Advanced Data Analytics: Historical and Predictive Data Integration for Decision Support
Lecture Notes in Business Information Processing
2022 | book
Categorical Attribute traNsformation Environment (CANE): A python module for categorical to numeric data preprocessing[Formula presented]
Software Impacts
2022 | journal-article
Deep autoencoders for acoustic anomaly detection: experiments with working machine and in-vehicle audio
Neural Computing and Applications
2022 | journal-article
Isolation Forests and Deep Autoencoders for Industrial Screw Tightening Anomaly Detection
Computers
2022 | journal-article
Predicting Yarn Breaks in Textile Fabrics: A Machine Learning Approach
Procedia Computer Science
2022 | conference-paper
Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning
IFIP Advances in Information and Communication Technology
2022 | book
RanCoord — A random geographic coordinates generator for transport and logistics research and development activities[Formula presented]
Software Impacts
2022 | journal-article
Using supervised and one-class automated machine learning for predictive maintenance
Applied Soft Computing
2022 | journal-article
A Comparison of Anomaly Detection Methods for Industrial Screw Tightening
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
A Comparison of AutoML Tools for Machine Learning, Deep Learning and XGBoost
Proceedings of the International Joint Conference on Neural Networks
2021 | conference-paper
A Comparison of Machine Learning Approaches for Predicting In-Car Display Production Quality
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
A Comparison of Machine Learning Methods for Extremely Unbalanced Industrial Quality Data
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
A Scalable and Automated Machine Learning Framework to Support Risk Management
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
A data-driven approach to measure restaurant performance by combining online reviews with historical sales data
International Journal of Hospitality Management
2021 | journal-article
A multivariate approach for multi-step demand forecasting in assembly industries: Empirical evidence from an automotive supply chain
Decision Support Systems
2021 | journal-article
A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process
Operations Research Perspectives
2021 | journal-article
Advancing logistics 4.0 with the implementation of a big data warehouse: A demonstration case for the automotive industry
Electronics (Switzerland)
2021 | journal-article
An Automated Machine Learning Approach for Predicting Chemical Laboratory Material Consumption
IFIP Advances in Information and Communication Technology
2021 | book
An Intelligent Decision Support System for Production Planning in Garments Industry
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
Business analytics in Industry 4.0: A systematic review
Expert Systems
2021 | journal-article
Deep Dense and Convolutional Autoencoders for Machine Acoustic Anomaly Detection
IFIP Advances in Information and Communication Technology
2021 | book
K-means clustering combined with principal component analysis for material profiling in automotive supply chains
European Journal of Industrial Engineering
2021 | journal-article
Modern Optimization with R
Springer International Publishing
2021 | book
Multi-objective Grammatical Evolution of Decision Trees for Mobile Marketing user conversion prediction
Expert Systems with Applications
2021 | journal-article
Prediction of Maintenance Equipment Failures Using Automated Machine Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021 | book
Predictive and prescriptive analytics in transportation geotechnics: Three case studies
Transportation Engineering
2021 | journal-article
Twitter alloy steel disambiguation and user relevance via one-class and two-class news titles classifiers
Neural Computing and Applications
2021 | journal-article
Using deep autoencoders for in-vehicle audio anomaly detection
Procedia Computer Science
2021 | conference-paper
A Google Trends spatial clustering approach for a worldwide Twitter user geolocation
Information Processing and Management
2020 | journal-article
A cross-cultural case study of consumers' communications about a new technological product
Journal of Business Research
2020 | journal-article
A deep learning classifier for sentence classification in biomedical and computer science abstracts
Neural Computing and Applications
2020 | journal-article
A realistic scooter rebalancing system via metaheuristics
GECCO 2020 Companion - Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion
2020 | conference-paper
Alphabetic order of authors in scholarly publications: a bibliometric study for 27 scientific fields
Scientometrics
2020 | journal-article
An automated and distributed machine learning framework for telecommunications risk management
ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence
2020 | conference-paper
Chemical Laboratories 4.0: A Two-Stage Machine Learning System for Predicting the Arrival of Samples
IFIP Advances in Information and Communication Technology
2020 | book
Combining Artificial Neural Networks and Genetic Algorithms for Rock Cuttings Slopes Stability Condition Identification
Springer Series in Geomechanics and Geoengineering
2020 | book
Deep Dense and Convolutional Autoencoders for Unsupervised Anomaly Detection In Machine Condition Sounds
arXiv
2020 | other
Fifth special issue on knowledge discovery and business intelligence
Expert Systems
2020 | journal-article
Multi-step time series prediction intervals using neuroevolution
Neural Computing and Applications
2020 | journal-article
Operations research models and methods for safety stock determination: A review
Operations Research Perspectives
2020 | journal-article
Predicting Physical Properties of Woven Fabrics via Automated Machine Learning and Textile Design and Finishing Features
IFIP Advances in Information and Communication Technology
2020 | book
Predicting the tear strength of woven fabrics via automated machine learning: An application of the CRISP-DM methodology
ICEIS 2020 - Proceedings of the 22nd International Conference on Enterprise Information Systems
2020 | conference-paper
Using Google Trends, Gaussian Mixture Models and DBSCAN for the Estimation of Twitter User Home Location
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2020 | book
A Categorical Clustering of Publishers for Mobile Performance Marketing
Advances in Intelligent Systems and Computing
2019 | book
A Machine Learning Approach to Detect Violent Behaviour from Video
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
2019 | book
A text mining and topic modelling perspective of ethnic marketing research
Journal of Business Research
2019 | journal-article
Artificial Neural Networks for Rock and Soil Cutting Slopes Stability Condition Prediction
Sustainable Civil Infrastructures
2019 | book
Artificial neural networks for soil embankments stability condition identification,Réseaux de neurones artificiels pour l'identification des conditions de stabilité des remblais de sol
17th European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2019 - Proceedings
2019 | conference-paper
Social Media Cross-Source and Cross-Domain Sentiment Classification
International Journal of Information Technology and Decision Making
2019 | journal-article
Twitter user geolocation using web country noun searches
Decision Support Systems
2019 | journal-article
Using Deep Learning for Mobile Marketing User Conversion Prediction
Proceedings of the International Joint Conference on Neural Networks
2019 | conference-paper
Using Neuroevolution for Predicting Mobile Marketing Conversion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | book
Using deep learning for ordinal classification of mobile marketing user conversion
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2019 | book
A Comparison of Data-Driven Approaches for Mobile Marketing User Conversion Prediction
9th International Conference on Intelligent Systems 2018: Theory, Research and Innovation in Applications, IS 2018 - Proceedings
2018 | conference-paper
A deep learning approach for sentence classification of scientific abstracts
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | book
A divide-and-conquer strategy using feature relevance and expert knowledge for enhancing a data mining approach to bank telemarketing
Expert Systems
2018 | journal-article
Automatic human trajectory destination prediction from video
Expert Systems with Applications
2018 | journal-article
Data-Driven Model for Stability Condition Prediction of Soil Embankments Based on Visual Data Features
Journal of Computing in Civil Engineering
2018 | journal-article
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 | journal-article
Fourth special issue on knowledge discovery and business intelligence
Expert Systems
2018 | journal-article
Insights from a text mining survey on Expert Systems research from 2000 to 2016
Expert Systems
2018 | journal-article
Jet grouting column diameter prediction based on a data-driven approach
European Journal of Environmental and Civil Engineering
2018 | journal-article
Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis
European Research on Management and Business Economics
2018 | journal-article
Stability Condition Identification of Rock and Soil Cutting Slopes Based on Soft Computing
Journal of Computing in Civil Engineering
2018 | journal-article
Unveiling the features of successful eBay smartphone sellers
Journal of Retailing and Consumer Services
2018 | journal-article
A framework for increasing the value of predictive data-driven models by enriching problem domain characterization with novel features
Neural Computing and Applications
2017 | journal-article
A text mining approach to analyzing Annals literature
Annals of Tourism Research
2017 | journal-article
Comparing univariate techniques for tender price index forecasting: Box-Jenkins and neural network model
Construction Economics and Building
2017 | journal-article
Data-driven classification approaches for stability condition prediction of soil cutting slopes
ICSMGE 2017 - 19th International Conference on Soil Mechanics and Geotechnical Engineering
2017 | conference-paper
Forecasting store foot traffic using facial recognition, time series and support vector machines
Advances in Intelligent Systems and Computing
2017 | book
Human skeleton detection from semi-constrained environment video
VISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
2017 | conference-paper
Label Ranking Forests
Expert Systems
2017 | journal-article
Mining rational team concert repositories: A case study on a software project
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | book
Multi-objective learning of neural network time series prediction intervals
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2017 | book
Prediction of surface distress using neural networks
AIP Conference Proceedings
2017 | conference-paper
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 | journal-article
Third special issue on knowledge discovery and business intelligence
Expert Systems
2017 | journal-article
A Novel Integrated Optimization System for Earthwork Tasks
Transportation Research Procedia
2016 | conference-paper
A framework for improving routing configurations using multi-objective optimization mechanisms
Journal of Communications Software and Systems
2016 | journal-article
Measuring user influence in financial microblogs: Experiments using StockTwits data
ACM International Conference Proceeding Series
2016 | conference-paper
Metaheuristics, Data Mining and Geographic Information Systems for Earthworks Equipment Allocation
Procedia Engineering
2016 | conference-paper
Sentiment analysis of stock market behavior from twitter using the R tool
Text Mining and Visualization: Case Studies Using Open-Source Tools
2016 | book
Stock market sentiment lexicon acquisition using microblogging data and statistical measures
Decision Support Systems
2016 | journal-article
Using data mining algorithms to predict the bond strength of NSM FRP systems in concrete
Construction and Building Materials
2016 | journal-article
A tutorial on using the rminer R package for data mining tasks
2015 | report
A proactive intelligent decision support system for predicting the popularity of online news
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | book
An evolutionary multi-objective optimization system for earthworks
Expert Systems with Applications
2015 | journal-article
Automatic human action recognition from video using Hidden Markov Model
Proceedings - IEEE 18th International Conference on Computational Science and Engineering, CSE 2015
2015 | conference-paper
Automatic visual detection of human behavior: A review from 2000 to 2014
Expert Systems with Applications
2015 | journal-article
Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation
Expert Systems with Applications
2015 | journal-article
Combining data mining and evolutionary computation for multi-criteria optimization of earthworks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | book
Comparison of single and multi-objective evolutionary algorithms for robust link-state routing
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2015 | book
Earthwork optimization system for sustainable highway construction
Geotechnical Synergy in Buenos Aires 2015
2015 | book
Modelling Tyre-Road Noise with Data Mining Techniques
Archives of Acoustics
2015 | journal-article
Modern optimization in earthwork construction
Geotechnical Engineering for Infrastructure and Development - Proceedings of the XVI European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2015
2015 | conference-paper
Recent advances on knowledge discovery and business intelligence
Expert Systems
2015 | journal-article
The data mining applied for the prediction of highway roughness due to overloaded trucks
International Journal of Technology
2015 | journal-article
Using customer lifetime value and neural networks to improve the prediction of bank deposit subscription in telemarketing campaigns
Neural Computing and Applications
2015 | journal-article
Using data mining for prediction of hospital length of stay: An application of the CRISP-DM methodology
Lecture Notes in Business Information Processing
2015 | book
A data-driven approach to predict hospital length of stay a portuguese case study
ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems
2014 | conference-paper
A data-driven approach to predict the success of bank telemarketing
Decision Support Systems
2014 | journal-article
A novel approach to predicting Young's modulus of jet grouting laboratory formulations over time using data mining techniques
Engineering Geology
2014 | journal-article
Artificial Intelligence approaches for the generation and assessment of believable human-like behaviour in virtual characters
Expert Systems with Applications
2014 | journal-article
Automatic creation of stock market lexicons for sentiment analysis using stocktwits data
ACM International Conference Proceeding Series
2014 | conference-paper
Evolutionary optimization of sparsely connected and time-lagged neural networks for time series forecasting
Applied Soft Computing Journal
2014 | journal-article
Evolving Artificial Neural Networks applied to generate virtual characters
IEEE Conference on Computatonal Intelligence and Games, CIG
2014 | conference-paper
Global and decomposition evolutionary support vector machine approaches for time series forecasting
Neural Computing and Applications
2014 | journal-article
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 Iberica de Sistemas e Tecnologias de Informacao
2014 | journal-article
Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns
Computers and Geotechnics
2014 | journal-article
Use of DM techniques in earthworks management: A case study
Geotechnical Special Publication
2014 | conference-paper
A framework for robust traffic engineering using evolutionary computation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013 | book
Artificial intelligence applications in transportation geotechnics
Geotechnical and Geological Engineering
2013 | journal-article
Data-driven models for Uniaxial Compressive Strength prediction applied to unseen data
Modelling and Simulation 2013 - European Simulation and Modelling Conference, ESM 2013
2013 | conference-paper
Email spam detection: A symbiotic feature selection approach fostered by evolutionary computation
International Journal of Information Technology and Decision Making
2013 | journal-article
Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations
Expert Systems with Applications
2013 | journal-article
Knowledge discovery and business intelligence
Expert Systems
2013 | journal-article
On the predictability of stock market behavior using StockTwits sentiment and posting volume
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013 | book
Preface
CEUR Workshop Proceedings
2013 | conference-paper
Robust optimization of intradomain routing using Evolutionary Algorithms
Advances in Intelligent Systems and Computing
2013 | book
Short-term electric load forecasting using computational intelligence methods
IEEE International Conference on Fuzzy Systems
2013 | conference-paper
Time series forecasting using a weighted cross-validation evolutionary artificial neural network ensemble
Neurocomputing
2013 | journal-article
Using sensitivity analysis and visualization techniques to open black box data mining models
Information Sciences
2013 | journal-article
Data Mining with Multilayer Perceptrons and Support Vector Machines
Intelligent Systems Reference Library
2012 | book
Evolutionary support vector machines for time series forecasting
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2012 | book
Evolutionary symbiotic feature selection for email spam detection
ICINCO 2012 - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics
2012 | conference-paper
Jet grouting deformability modulus prediction using data mining tools
Advances in Transportation Geotechnics II - Proceedings of the 2nd International Conference on Transportation Geotechnics, ICTG 2012
2012 | conference-paper
Jet grouting mechanicals properties prediction using data mining techniques
Geotechnical Special Publication
2012 | conference-paper
Multi-scale Internet traffic forecasting using neural networks and time series methods
Expert Systems
2012 | journal-article
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 | conference-paper
A data mining approach for predicting jet grouting geomechanical parameters
Geotechnical Special Publication
2011 | conference-paper
Application of data mining techniques in the estimation of mechanical properties of Jet Grouting laboratory formulations over time
Advances in Intelligent and Soft Computing
2011 | book
Application of data mining techniques in the estimation of the uniaxial compressive strength of jet grouting columns over time
Construction and Building Materials
2011 | journal-article
Evolving sparsely connected neural networks for multi-step ahead forecasting
Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication
2011 | conference-paper
Evolving time-lagged feedforward neural networks for time series forecasting
Genetic and Evolutionary Computation Conference, GECCO'11 - Companion Publication
2011 | conference-paper
Forecasting seasonal time series with computational intelligence: Contribution of a combination of distinct methods
Proceedings of the 7th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2011 and French Days on Fuzzy Logic and Applications, LFA 2011
2011 | conference-paper
Multiobjective evolutionary algorithms for intradomain routing optimization
2011 IEEE Congress of Evolutionary Computation, CEC 2011
2011 | conference-paper
Opening black box Data Mining models using Sensitivity Analysis
IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining
2011 | conference-paper
Preface
Proceedings - IEEE International Conference on Data Mining, ICDM
2011 | conference-paper
Quality of Service constrained routing optimization using Evolutionary Computation
Applied Soft Computing Journal
2011 | journal-article
Symbiotic filtering for spam email detection
Expert Systems with Applications
2011 | journal-article
Traffic engineering approaches using multicriteria optimization techniques
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011 | book
UNI-AXIAL compressive strength prediction of jet grouting columns using support vector machines
ESM 2011 - 2011 European Simulation and Modelling Conference: Modelling and Simulation 2011
2011 | conference-paper
Using data mining for bank direct marketing: An application of the CRISP-DM methodology
ESM 2011 - 2011 European Simulation and Modelling Conference: Modelling and Simulation 2011
2011 | conference-paper
Using data mining techniques to predict deformability properties of jet grouting laboratory formulations over time
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2011 | book
Weighted cross-validation evolving artificial neural networks to forecast time series
Advances in Intelligent and Soft Computing
2011 | book
A collaborative approach for spam detection
Proceedings - 2nd International Conference on Evolving Internet, Internet 2010, 1st International Conference on Access Networks, Services and Technologies, Access 2010
2010 | conference-paper
Data mining with neural networks and support vector machines using the R/rminer tool
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | book
New models for strength and deformability parameter calculation in rock masses using data-mining techniques
International Journal of Geomechanics
2010 | journal-article
Sensitivity analysis for time lag selection to forecast seasonal time series using neural networks and support vector machines
Proceedings of the International Joint Conference on Neural Networks
2010 | conference-paper
Spam email filtering using network-level properties
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2010 | book
Using multiple regression, neural networks and support vector machines to predict lamb carcasses composition
6th International Conference on Simulation and Modelling in the Food and Bio-Industry 2010, FOODSIM 2010
2010 | conference-paper
A data mining approach for jet grouting uniaxial compressive strength prediction
2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
2009 | conference-paper
An intelligent alarm management system for large-scale telecommunication companies
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009 | book
Data mining applied to compaction of geomaterials
Bearing Capacity of Roads, Railways and Airfields - Proceedings of the 8th International Conference on the Bearing Capacity of Roads, Railways and Airfields
2009 | conference-paper
Modeling wine preferences by data mining from physicochemical properties
Decision Support Systems
2009 | journal-article
Symbiotic Data Mining for personalized spam filtering
Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009
2009 | conference-paper
Using data mining for wine quality assessment
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2009 | book
An evolutionary algorithm for unicast/ multicast traffic engineering
ICINCO 2008 - Proceedings of the 5th International Conference on Informatics in Control, Automation and Robotics
2008 | conference-paper
An intelligent decision support system for bridge safety assessment based on Data Mining models
WIT Transactions on Information and Communication Technologies
2008 | conference-paper
Forecasting internet traffic by neural networks under univariate and multivariate strategies
Artificial Neural Networks and Intelligent Information Processing - Proc. 4th Int. Workshop on Artificial Neural Networks and Intelligent Information Processing, ANNIIP 2008; ICINCO 2008
2008 | conference-paper
Multiconstrained optimization of networks with multicast and unicast traffic
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2008 | book
Rating organ failure via adverse events using data mining in the intensive care unit
Artificial Intelligence in Medicine
2008 | journal-article
Using data mining to predict secondary school student performance
15th European Concurrent Engineering Conference 2008, ECEC 2008 - 5th Future Business Technology Conference, FUBUTEC 2008
2008 | conference-paper
Alternative models for the calculation of the RMR and Q indexes for granite rock masses
Applications of Computational Mechanics in Geotechnical Engineering - Proceedings of the 5th International Workshop on Applications of Computational Mechanics in Geotechnical Engineering
2007 | conference-paper
Automatic provisioning of QoS aware OSPF configurations
Journal of Networks
2007 | journal-article
Class-based OSPF traffic engineering inspired on evolutionary computation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | book
Evolution of neural networks for classification and regression
Neurocomputing
2007 | journal-article
Evolutionary computation for quality of service internet routing optimization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | book
Prediction of abnormal behaviors for intelligent video surveillance systems
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2007
2007 | conference-paper
Real-time intelligent decision support system for bridges structures behavior prediction
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | book
Topology aware internet traffic forecasting using neural networks
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2007 | book
Corporate bankruptcy prediction using data mining techniques
WIT Transactions on Information and Communication Technologies
2006 | conference-paper
Efficient OSPF weight allocation for intra-domain QoS optimization
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2006 | book
Internet traffic forecasting using neural networks
IEEE International Conference on Neural Networks - Conference Proceedings
2006 | conference-paper
Lamb meat quality assessment by Support Vector Machines
Neural Processing Letters
2006 | journal-article
Mortality assessment in intensive care units via adverse events using artificial neural networks
Artificial Intelligence in Medicine
2006 | journal-article
N-ary trees classifier
ICINCO 2006 - 3rd International Conference on Informatics in Control, Automation and Robotics, Proceedings
2006 | conference-paper
QoS constrained internet routing with evolutionary algorithms
2006 IEEE Congress on Evolutionary Computation, CEC 2006
2006 | conference-paper
Selection of trees for rubbing by red and roe deer in forest plantations
Forest Ecology and Management
2006 | journal-article
Strength of corroded tapered plate girders under pure shear
Proceedings of the 3rd International Conference on Bridge Maintenance, Safety and Management - Bridge Maintenance, Safety, Management, Life-Cycle Performance and Cost
2006 | conference-paper
The OBSERVER: An intelligent and automated video surveillance system
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2006 | book
A clustering approach for knowledge discovery in database marketing
6th Conference on Data Mining - Text Mining and Their Business Applications
2005 | conference-paper
Ecological mining - a case study on dam water quality
6th Conference on Data Mining - Text Mining and Their Business Applications
2005 | conference-paper
Evolutionary design of neural networks for classification and regression
7th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA)
2005 | conference-paper
INTCare: A knowledge discovery based intelligent decision support system for intensive care medicine
Journal of Decision Systems
2005 | journal-article
Lamb meat tenderness prediction using neural networks and sensitivity analysis
2005 European Simulation and Modelling Conference, ESM 2005 - Proceedings
2005 | conference-paper
Moving object detection unaffected by cast shadows, highlights and ghosts
Proceedings - International Conference on Image Processing, ICIP
2005 | conference-paper
Simultaneous evolution of neural network topologies and weights for classification and regression
Lecture Notes in Computer Science
2005 | conference-paper
Time series forecasting by evolutionary neural networks
Artificial Neural Networks in Real-Life Applications
2005 | book
Evolving time series forecasting ARMA models
Journal of Heuristics
2004 | journal-article
Multiple organ failure diagnosis using adverse events and neural networks
ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
2004 | conference-paper
Evolutionary neural network learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2003 | book
A lamarckian approach for neural network training
Neural Processing Letters
2002 | journal-article
Particle swarms for feedforward neural network training
Proceedings of the International Joint Conference on Neural Networks
2002 | conference-paper
Genetic and evolutionary algorithms for time series forecasting
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2001 | book
Sitting guests at a wedding party: Experiments on genetic and evolutionary constrained optimization
Proceedings of the IEEE Conference on Evolutionary Computation, ICEC
2001 | conference-paper
Viewing scheduling problems through Genetic and Evolutionary Algorithms
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2000 | book
A unified framework for data modeling on medical information systems
Studies in Health Technology and Informatics
1999 | book
A distributed web-based water quality diagnosis and simulation system in lakes and reservoirs
10th European Simulation Symposium (ESS 98)
1998 | conference-paper
Artificial neural network - genetic based approach for time series forecasting
Proceedings of the Brazilian Symposium on Neural Networks, SBRN
1997 | conference-paper
A software agent distributed system for dynamic load balancing
10th European Simulation Multiconference
1996 | conference-paper
Neural network based time series forecasting system
IEEE International Conference on Neural Networks - Conference Proceedings
1995 | conference-paper
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