All Stories

  1. RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms

    Article • August 2024, ACM (Association for Computing Machinery)

    Carlos Soares

  2. Preference rules for label ranking: Mining patterns in multi-target relations

    Article • Information Fusion, March 2018, Elsevier

    Carlos Soares

  3. Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering

    Article • Information Sciences, January 2018, Elsevier

    Carlos Soares

  4. Using Metalearning for Parameter Tuning in Neural Networks

    Article • October 2017, Springer Science + Business Media

    Carlos Soares

  5. A guidance of data stream characterization for meta-learning

    Article • Intelligent Data Analysis, August 2017, IOS Press

    Carlos Soares

  6. RELink

    Article • August 2017, ACM (Association for Computing Machinery)

    Carlos Soares

  7. TexRep: A Text Mining Framework for Online Reputation Monitoring

    Article • New Generation Computing, June 2017, Springer Science + Business Media

    Carlos Soares

  8. Arbitrated Ensemble for Solar Radiation Forecasting

    Article • January 2017, Springer Science + Business Media

    Carlos Soares

  9. Arbitrated Ensemble for Time Series Forecasting

    Article • January 2017, Springer Science + Business Media

    Carlos Soares

  10. Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects

    Article • January 2017, Springer Science + Business Media

    Carlos Soares

  11. Metalearning

    Article • January 2017, Springer Science + Business Media

    Carlos Soares

  12. Metalearning for Context-aware Filtering

    Article • January 2017, ACM (Association for Computing Machinery)

    Carlos Soares

  13. Scalable Online Top-N Recommender Systems

    Article • January 2017, Springer Science + Business Media

    Carlos Soares

  14. Comparing comparables: an approach to accurate cross-country comparisons of health systems for effective healthcare planning and policy guidance

    Article • Health Systems, October 2016, Taylor & Francis

    Carlos Soares

  15. Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features

    Article • Neurocomputing, September 2016, Elsevier

    Carlos Soares

  16. Label Ranking Forests

    Article • Expert Systems, July 2016, Wiley

    Dr Paulo Cortez, Carlos Soares

  17. Active learning and data manipulation techniques for generating training examples in meta-learning

    Article • Neurocomputing, June 2016, Elsevier

    Carlos Soares

  18. Entropy-based discretization methods for ranking data

    Article • Information Sciences, February 2016, Elsevier

    Carlos Soares

  19. AToMRS: A Tool to Monitor Recommender Systems

    Article • January 2016, Scitepress

    Carlos Soares

  20. CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  21. Can Metalearning Be Applied to Transfer on Heterogeneous Datasets?

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  22. Collaborative Data Analysis in Hyperconnected Transportation Systems

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  23. Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  24. Exceptional Preferences Mining

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  25. Learning from the News: Predicting Entity Popularity on Twitter

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  26. RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  27. Selecting Collaborative Filtering Algorithms Using Metalearning

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  28. Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams

    Article • January 2016, ACM (Association for Computing Machinery)

    Carlos Soares

  29. TimeMachine: Entity-Centric Search and Visualization of News Archives

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  30. Towards Automatic Generation of Metafeatures

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  31. TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  32. Advances in Intelligent Data Analysis XV

    Article • January 2016, Springer Science + Business Media

    Carlos Soares

  33. Customer segmentation in a large database of an online customized fashion business

    Article • Robotics and Computer-Integrated Manufacturing, December 2015, Elsevier

    Carlos Soares

  34. Combining regression models and metaheuristics to optimize space allocation in the retail industry

    Article • Intelligent Data Analysis, October 2015, IOS Press

    Carlos Soares

  35. POPmine: Tracking Political Opinion on the Web

    Article • October 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  36. TwitterJam: Identification of mobility patterns in urban centers based on tweets

    Article • October 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  37. Metalearning to choose the level of analysis in nested data: A case study on error detection in foreign trade statistics

    Article • July 2015, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  38. The weighted rank correlation coefficient

    Article • Statistics & Probability Letters, April 2015, Elsevier

    Carlos Soares

  39. Improving the accuracy of long-term travel time prediction using heterogeneous ensembles

    Article • Neurocomputing, February 2015, Elsevier

    Carlos Soares

  40. Distance-Based Decision Tree Algorithms for Label Ranking

    Article • January 2015, Springer Science + Business Media

    Carlos Soares

  41. Estimating Fuel Consumption from GPS Data

    Article • January 2015, Springer Science + Business Media

    Carlos Soares

  42. Pruning Bagging Ensembles with Metalearning

    Article • January 2015, Springer Science + Business Media

    Carlos Soares

  43. Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels

    Article • January 2015, Springer Science + Business Media

    Carlos Soares

  44. Machine Learning and Knowledge Discovery in Databases

    Article • January 2015, Springer Science + Business Media

    Carlos Soares

  45. Machine Learning and Knowledge Discovery in Databases

    Article • January 2015, Springer Science + Business Media

    Carlos Soares

  46. A hybrid meta-learning architecture for multi-objective optimization of SVM parameters

    Article • Neurocomputing, November 2014, Elsevier

    Carlos Soares

  47. Distributed Environment Framework for Optimization Experiments

    Article • June 2014, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  48. MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data

    Article • Neurocomputing, March 2014, Elsevier

    Carlos Soares

  49. An Empirical Methodology to Analyze the Behavior of Bagging

    Article • January 2014, Springer Science + Business Media

    Carlos Soares

  50. A data warehouse to support web site automation

    Article • Journal of the Brazilian Computer Society, January 2014, Springer Science + Business Media

    Carlos Soares

  51. Merging Decision Trees: A Case Study in Predicting Student Performance

    Article • January 2014, Springer Science + Business Media

    Carlos Soares

  52. Monitoring Recommender Systems: A Business Intelligence Approach

    Article • January 2014, Springer Science + Business Media

    Carlos Soares

  53. TweeProfiles: Detection of Spatio-temporal Patterns on Twitter

    Article • January 2014, Springer Science + Business Media

    Carlos Soares

  54. Active selection of training instances for a random forest meta-learner

    Article • August 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  55. Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems

    Article • Information Processing & Management, May 2013, Elsevier

    Carlos Soares

  56. CN2-SD for Subgroup Discovery in a Highly Customized Textile Industry: A Case Study

    Article • January 2013, Springer Science + Business Media

    Carlos Soares

  57. Multi-interval Discretization of Continuous Attributes for Label Ranking

    Article • January 2013, Springer Science + Business Media

    Carlos Soares

  58. Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models

    Article • January 2013, Springer Science + Business Media

    Carlos Soares

  59. Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals

    Article • Information Systems and e-Business Management, December 2012, Springer Science + Business Media

    Carlos Soares

  60. Ensemble approaches for regression

    Article • ACM Computing Surveys, November 2012, ACM (Association for Computing Machinery)

    Carlos Soares

  61. Combining a multi-objective optimization approach with meta-learning for SVM parameter selection

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  62. Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  63. Meta-Learning for Periodic Algorithm Selection in Time-Changing Data

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  64. Multi-objective optimization and Meta-learning for SVM parameter selection

    Article • June 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  65. A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking

    Article • January 2012, Springer Science + Business Media

    Carlos Soares

  66. An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection

    Article • January 2012, Springer Science + Business Media

    Carlos Soares

  67. Combining meta-learning and search techniques to select parameters for support vector machines

    Article • Neurocomputing, January 2012, Elsevier

    Carlos Soares

  68. Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules

    Article • January 2012, Springer Science + Business Media

    Carlos Soares

  69. Integrating Data Mining and Optimization Techniques on Surgery Scheduling

    Article • January 2012, Springer Science + Business Media

    Carlos Soares

  70. Multilayer Perceptron for Label Ranking

    Article • January 2012, Springer Science + Business Media

    Carlos Soares

  71. Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem

    Article • December 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  72. Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems

    Article • August 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  73. Uncertainty sampling methods for selecting datasets in active meta-learning

    Article • July 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  74. Selection of algorithms to solve traveling salesman problems using meta-learning1

    Article • International Journal of Hybrid Intelligent Systems, June 2011, IOS Press

    Carlos Soares

  75. Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection

    Article • January 2011, Springer Science + Business Media

    Carlos Soares

  76. Customer-Oriented and Eco-friendly Networks for Health Fashionable Goods – The CoReNet Approach

    Article • January 2011, Springer Science + Business Media

    Carlos Soares

  77. Mining Association Rules for Label Ranking

    Article • January 2011, Springer Science + Business Media

    Carlos Soares

  78. Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning

    Article • January 2011, Springer Science + Business Media

    Carlos Soares

  79. Inductive Transfer

    Article • January 2011, Springer Science + Business Media

    Carlos Soares

  80. Metalearning

    Article • January 2011, Springer Science + Business Media

    Carlos Soares

  81. Combining Meta-learning and Search Techniques to SVM Parameter Selection

    Article • October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  82. Using Meta-learning to Classify Traveling Salesman Problems

    Article • October 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  83. A comprehensive comparison of ML algorithms for gene expression data classification

    Article • July 2010, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  84. A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation

    Article • January 2010, Springer Science + Business Media

    Carlos Soares

  85. Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification

    Article • January 2010, Springer Science + Business Media

    Carlos Soares

  86. Intelligent Document Routing as a First Step towards Workflow Automation: A Case Study Implemented in SQL

    Article • January 2010, Springer Science + Business Media

    Carlos Soares

  87. Meta‐learning approach to gene expression data classification

    Article • International Journal of Intelligent Computing and Cybernetics, June 2009, Emerald

    Carlos Soares

  88. The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction

    Article • January 2009, Springer Science + Business Media

    Carlos Soares

  89. Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed

    Article • January 2009, Springer Science + Business Media

    Carlos Soares

  90. Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data

    Article • January 2009, Springer Science + Business Media

    Carlos Soares

  91. Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach

    Article • January 2009, Springer Science + Business Media

    Carlos Soares

  92. Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines

    Article • January 2009, Springer Science + Business Media

    Carlos Soares

  93. UCI++: Improved Support for Algorithm Selection Using Datasetoids

    Article • January 2009, Springer Science + Business Media

    Carlos Soares

  94. Metalearning

    Article • January 2009, Springer Science + Business Media

    Carlos Soares

  95. The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization

    Article • December 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  96. Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis

    Article • September 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  97. Metalearning for Gene Expression Data Classification

    Article • September 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  98. Rejoinder to letter to the editor from C. Genest and J-F. Plante concerning ?Pinto da Costa, J. & Soares, C. (2005) A weighted rank measure of correlation.?

    Article • Australian & New Zealand Journal of Statistics, June 2007, Wiley

    Carlos Soares

  99. A Web-Based System to Monitor the Quality of Meta-Data in Web Portals

    Article • December 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  100. Factor Analysis to Support the Visualization and Interpretation of Clusters of Portal Users

    Article • December 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  101. Personalization of E-newsletters Based on Web Log Analysis and Clustering

    Article • December 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Carlos Soares

  102. Data mining for business applications

    Article • ACM SIGKDD Explorations Newsletter, December 2006, ACM (Association for Computing Machinery)

    Carlos Soares

  103. Improving SVM-Linear Predictions Using CART for Example Selection

    Article • January 2006, Springer Science + Business Media

    Carlos Soares

  104. Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features

    Article • January 2006, ACM (Association for Computing Machinery)

    Carlos Soares

  105. A WEIGHTED RANK MEASURE OF CORRELATION

    Article • Australian & New Zealand Journal of Statistics, December 2005, Wiley

    Carlos Soares

  106. Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining

    Article • January 2005, Springer Science + Business Media

    Carlos Soares

  107. A Meta-Learning Method to Select the Kernel Width in Support Vector Regression

    Article • Machine Learning, March 2004, Springer Science + Business Media

    Carlos Soares

  108. Is the UCI Repository Useful for Data Mining?

    Article • January 2003, Springer Science + Business Media

    Carlos Soares

  109. Article • Machine Learning, January 2003, Springer Science + Business Media

    Carlos Soares

  110. A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods

    Article • January 2002, Springer Science + Business Media

    Carlos Soares

  111. Improved Dataset Characterisation for Meta-learning

    Article • January 2002, Springer Science + Business Media

    Carlos Soares

  112. Reducing Rankings of Classifiers by Eliminating Redundant Classifiers

    Article • January 2001, Springer Science + Business Media

    Carlos Soares

  113. Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms before Choosing

    Article • January 2001, Springer Science + Business Media

    Carlos Soares

  114. A Comparison of Ranking Methods for Classification Algorithm Selection

    Article • January 2000, Springer Science + Business Media

    Carlos Soares

  115. Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information

    Article • January 2000, Springer Science + Business Media

    Carlos Soares

  116. Dynamic Discretization of Continuous Attributes

    Article • January 1998, Springer Science + Business Media

    Carlos Soares

  117. Web Mining for the Integration of Data Mining with Business Intelligence in Web-Based Decision Support Systems

    Article • IGI Global

    Carlos Soares

  118. Quantitative Evaluation of Clusterings for Marketing Applications: A Web Portal Case Study

    Article • Springer Science + Business Media

    Carlos Soares