Carlos Soares

发表

Meta-learning approach to gene expression data classification

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Carlos Soares, 2009, Int. J. Intell. Comput. Cybern..

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

Carlos Soares, Carmen Rebelo, Pedro Quelhas Brito, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

Distributed Environment Framework for Optimization Experiments

Carlos Soares, Pedro H. Abreu, Rui Carlos Camacho, 2014, 2014 14th International Conference on Computational Science and Its Applications.

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

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, 2011, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

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

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2012, 2012 Brazilian Symposium on Neural Networks.

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

Carlos Soares, Pavel Brazdil, Carlos Soares, 2000, PKDD.

A guidance of data stream characterization for meta-learning

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Bruno Feres de Souza, 2017, Intell. Data Anal..

Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts

Miriam Seoane Santos, João Santos, Carlos Soares, 2018, IDA.

Data Mining for Business Applications: Introduction

Rayid Ghani, Carlos Soares, 2010, Data Mining for Business Applications.

Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results

Carlos Soares, Pavel Brazdil, Joaquim Pinto da Costa, 2003, Machine Learning.

CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers

Carlos Soares, João Mendes-Moreira, Fábio Pinto, 2016, ECML/PKDD.

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

Eugénio C. Oliveira, Pedro Saleiro, Carlos Soares, 2017, EPIA.

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

Carlos Soares, Carmen Rebelo, Pedro Quelhas Brito, 2007, EPIA Workshops.

Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing

Carlos Soares, Pavel Brazdil, Johann Petrak, 2001, EPIA.

Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem

Carlos Soares, José Fernando Oliveira, Alvaro Neuenfeldt Júnior, 2019, Expert Syst. Appl..

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

Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe, 2018, Inf. Fusion.

A data mining approach for trip time prediction in mass transit companies

João Mendes Moreira, Carlos Soares, Alípio Mário Jorge, 2005 .

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

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Bruno Feres de Souza, 2014, Neurocomputing.

Reducing Rankings of Classifiers by Eliminating Redundant Classifiers

Rui Pereira, Carlos Soares, Pavel Brazdil, 2001, EPIA.

Trip time prediction in mass transit companies. A machine learning approach

João Mendes Moreira, Carlos Soares, Alípio Mário Jorge, 2005 .

A Data Warehouse for Web Intelligence

José Paulo Leal, Marcos Aurélio Domingues, Carlos Soares, 2007 .

Entropy-based discretization methods for ranking data

Carlos Soares, Arno Knobbe, Cláudio Rebelo de Sá, 2016, Inf. Sci..

FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings

Eugénio C. Oliveira, Pedro Saleiro, Carlos Soares, 2017, SemEval@ACL.

Applications of Data Mining in E-Business Finance: Introduction

Zhi-Hua Zhou, Yonghong Peng, Takashi Washio, 2007, DMBiz@PAKDD.

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

Carlos Soares, Miguel Calejo, Carlos Soares, 2010, ISoLA.

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

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Eduardo R. Hruschka, 2012, ICONIP.

Advances in Intelligent Data Analysis XV

Panagiotis Papapetrou, Henrik Boström, Carlos Soares, 2016, Lecture Notes in Computer Science.

Applications of Data Mining in E-Business and Finance

Zhi-Hua Zhou, Yonghong Peng, Takashi Washio, 2008, DMBiz@PAKDD.

POPmine: Tracking Political Opinion on the Web

Mário J. Silva, Pedro Saleiro, Carlos Soares, 2015, 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing.

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

Carlos Soares, Pavel Brazdil, 2002, IBERAMIA.

Using Contextual Information as Virtual Items on Top-N Recommender Systems pdf

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, 2011, ArXiv.

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

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Eduardo R. Hruschka, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Uncertainty sampling methods for selecting datasets in active meta-learning

Teresa Bernarda Ludermir, Carlos Soares, Ricardo B. C. Prudêncio, 2011, The 2011 International Joint Conference on Neural Networks.

Providing Proactiveness : Data Analysis Techniques Portfolios

Alberto Sillitti, Arvind Kumar Shekar, István Moldován, 2019 .

Smart energy management as a means towards improved energy efficiency pdf

Carlos Soares, Arno J. Knobbe, Cláudio Rebelo de Sá, 2018, ArXiv.

CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, DS.

TexRep: A Text Mining Framework for Online Reputation Monitoring

Pedro Saleiro, Carlos Soares, Eduarda Mendes Rodrigues, 2017, New Generation Computing.

A comprehensive comparison of ML algorithms for gene expression data classification

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Carlos Soares, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

AToMRS: A Tool to Monitor Recommender Systems

Carlos Soares, Tiago Cunha, André Costa, 2016, KDIR.

Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance

Fábio Pinto, Carlos Soares, Cláudio Rebelo de Sá, 2016, IDA.

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II

João Gama, Annalisa Appice, Vítor Santos Costa, 2015, ECML/PKDD.

Proceedings, Part II, of the European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 9285

João Gama, Annalisa Appice, Carlos Soares, 2015 .

Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams

Pedro Saleiro, Carlos Soares, Luís Gomes, 2016, C3S2E.

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

Carlos Soares, Pavel Brazdil, 2006, SAC '06.

Discovering a taste for the unusual: exceptional models for preference mining

Carlos Soares, Alípio Mário Jorge, Wouter Duivesteijn, 2018, Machine Learning.

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

Carlos Soares, Pedro Quelhas Brito, Sergio Almeida, 2015 .

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

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2012, 2012 Brazilian Symposium on Neural Networks.

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

Carlos Soares, Alípio Mário Jorge, João Mendes-Moreira, 2009, MLDM.

Metalearning for Multiple-Domain Transfer Learning

Carlos Soares, Alípio Mário Jorge, Catarina Félix, 2015, MetaSel@PKDD/ECML.

Mining Association Rules for Label Ranking

Carlos Soares, Alípio Mário Jorge, Joaquim Pinto da Costa, 2011, PAKDD.

Label Ranking Forests

Paulo Cortez, Carlos Soares, Arno J. Knobbe, 2017, Expert Syst. J. Knowl. Eng..

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

Teresa Bernarda Ludermir, Carlos Soares, Ricardo B. C. Prudêncio, 2011, HAIS.

Machine Learning and Knowledge Discovery in Databases

João Gama, Annalisa Appice, Vítor Santos Costa, 2015, Lecture Notes in Computer Science.

Is the UCI Repository Useful for Data Mining?

Carlos Soares, Carlos Soares, 2003, EPIA.

Multi-interval Discretization of Continuous Attributes for Label Ranking

Carlos Soares, Alípio Mário Jorge, Arno J. Knobbe, 2013, Discovery Science.

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

Teresa Bernarda Ludermir, Carlos Soares, Ricardo B. C. Prudêncio, 2016, Neurocomputing.

A simplified method to enhance the analysis for new information systems in corporate environments

Ricardo Ribeiro, Fernando Batista, Carlos Soares, 2017, 2017 12th Iberian Conference on Information Systems and Technologies (CISTI).

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

Carlos Soares, Mohammad Nozari Zarmehri, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

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

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, 2013, Inf. Process. Manag..

Practical Data Mining: Applications, Experiences and Challenges

Carlos Soares, Bettina Guidemann, Carlos Soares, 2006 .

Selection of algorithms to solve traveling salesman problems using meta-learning

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Eduardo R. Hruschka, 2011, Int. J. Hybrid Intell. Syst..

Dynamic Discretization of Continuous Attributes

Luís Torgo, João Gama, Carlos Soares, 1998, IBERAMIA.

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

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Can Metalearning Be Applied to Transfer on Heterogeneous Datasets?

Carlos Soares, Alípio Mário Jorge, Catarina Félix, 2016, HAIS.

Effect of Metalearning on Feature Selection Employment

Carlos Soares, Duncan D. A. Ruiz, Silvia Nunes das Dôres, 2017, AutoML@PKDD/ECML.

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

Rosanna Fornasiero, Américo Lopes Azevedo, João Bastos, 2011, PRO-VE.

Decision tree-based characterization for meta-learning

Peter A. Flach, Carlos Soares, Pavel Brazdil, 2002 .

Collaborative Data Analysis in Hyperconnected Transportation Systems

Carlos Soares, Mohammad Nozari Zarmehri, Carlos Soares, 2016, PRO-VE.

CF4CF: recommending collaborative filtering algorithms using collaborative filtering

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, RecSys.

Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, ArXiv.

Learning from the News: Predicting Entity Popularity on Twitter

Pedro Saleiro, Carlos Soares, 2016, IDA.

Metalearning for Gene Expression Data Classification

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Carlos Soares, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

The 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, June 10-15, 2012

Aranildo R. Lima, Wei Wang, Brendan McCane, 2012, IJCNN.

Arbitrated Ensemble for Solar Radiation Forecasting

Luís Torgo, Carlos Soares, Vítor Cerqueira, 2017, IWANN.

A Framework To Decompose And Develop Metafeatures

Fábio Pinto, Carlos Soares, João Mendes-Moreira, 2014, MetaSel@ECAI.

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

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, 2005, EPIA.

Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification

André Carlos Ponce de Leon Ferreira de Carvalho, Bruno Feres de Souza, Carlos Soares, 2010, IBERAMIA.

From Graphical Objects to Terms and Back: an Extended Application Framework for Prolog

Carlos Soares, Miguel Calejo, 1997, LPE.

Multistrategy Ensemble Learning

Johannes Fürnkranz, Luís Torgo, Thomas Stützle, 2010, Encyclopedia of Machine Learning.

Factual Question Generation for the Portuguese Language

Henrique Lopes Cardoso, Carlos Soares, Luís Paulo Reis, 2020, 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).

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

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops.

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

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2012, ICCSA.

Machine Learning for Drugs Prescription

Adriano Rivolli, Carlos Soares, P. Silva, 2018, IDEAL.

Carlos Soares, Artur Aiguzhinov, Ana Paula Serra, 2010, Discovery Science.

Using Metalearning for Parameter Tuning in Neural Networks

Hugo Ferreira, Carlos Soares, Alípio Mário Jorge, 2017 .

Measures to Evaluate Rankings of Classification Algorithms

Carlos Soares, Pavel Brazdil, Joaquim Pinto da Costa, 2000 .

cf2vec: Collaborative Filtering algorithm selection using graph distributed representations pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, ArXiv.

A Constraint Programming Approach to Optimize Network Calls by Minimizing Variance in Data Availability Times

Henrique Lopes Cardoso, Carlos Soares, Luis Neto, 2017 .

Exploiting Sampling and Meta-learning for Parameter Setting forSupport Vector Machines

Carlos Soares, Pavel Brazdil, Adam Woznica, 2002 .

Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models

David Ribeiro, Carlos Soares, João Costa, 2020, CLEF.

Multi-Armed Bandit

Johannes Fürnkranz, Luís Torgo, Katharina Morik, 2010, Encyclopedia of Machine Learning.

Estimating Fuel Consumption from GPS Data

Carlos Soares, Ana Aguiar, Afonso Vilaça, 2015, IbPRIA.

Mining association rules for label ranking

Carlos Soares, Alípio Mário Jorge, Cláudio Rebelo de Sá, 2011 .

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

Carlos Soares, Alípio Mário Jorge, Carla Carvalho, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

External induced contamination environment assessment for Space Station Freedom

Carlos Soares, Lubert J. Leger, Horst Ehlers, 1993 .

Development of resources for computer-based testing in campus-wide IT systems

Margarida Amaral, Daniel Moura, Carlos Soares, 2008 .

Web mining for the integration of data mining with business intelligence in web-based decision support systems

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, 2015, miproBIS 2015.

Inductive Transfer

Ricardo Vilalta, Carlos Soares, Pavel Brazdil, 2010, Encyclopedia of Machine Learning.

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

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Pavel Brazdil, 2016, Neurocomputing.

Inductive Transfer

Ricardo Vilalta, Carlos Soares, Pavel Brazdil, 2010, Encyclopedia of Machine Learning.

Selecting Collaborative Filtering Algorithms Using Metalearning

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2016, ECML/PKDD.

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

Fábio Pinto, Carlos Soares, Carlos Soares, 2013, ECML/PKDD.

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

Carlos Soares, Pavel Brazdil, Petr Kuba, 2004, Machine Learning.

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

Carlos Soares, Mohammad Nozari Zarmehri, 2015, IDA.

Enhancing multilabel classification for food truck recommendation

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano Rivolli, Carlos Soares, 2018, Expert Syst. J. Knowl. Eng..

Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles

Luís Torgo, Fábio Pinto, Carlos Soares, 2018, ECML/PKDD.

Combining Meta-learning and Search Techniques to SVM Parameter Selection

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

Proceedings of the 2010 conference on Data Mining for Business Applications

Rayid Ghani, Carlos Soares, 2010 .

Ranking Classification Algorithms Based on Relevant Performance Information

Carlos Soares, Pavel Brazdil, 2000 .

Distance-Based Decision Tree Algorithms for Label Ranking

Carlos Soares, Arno J. Knobbe, Cláudio Rebelo de Sá, 2015, EPIA.

Proceedings of the 2014 International Conference on Meta-learning and Algorithm Selection - Volume 1201

Lars Kotthoff, Joaquin Vanschoren, Carlos Soares, 2014 .

Optimizing network calls by minimizing variance in data availability times

Henrique Lopes Cardoso, Carlos Soares, Gil Gonçalves, 2016 .

Algoritmos Genéticos Híbridos para resolução de problemas de scheduling

Carlos Soares, Dalila B.M.M. Fontes, Aurora Cameirão, 2005 .

Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data

Luís Torgo, Carlos Soares, Welma Pereira, 2009, EPIA.

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

Rosaldo J. F. Rossetti, Francisco Rebelo, Carlos Soares, 2015, 2015 IEEE First International Smart Cities Conference (ISC2).

Data mining for business applications: KDD-2006 workshop

Rayid Ghani, Carlos Soares, 2006, SKDD.

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

Carlos Soares, Pedro H. Abreu, Jorge M. S. Valente, 2009, LION.

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

Carlos Soares, Sergio Almeida, 2013 .

Improved Dataset Characterisation for Meta-learning

Peter A. Flach, Yonghong Peng, Carlos Soares, 2002, Discovery Science.

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

Teresa Bernarda Ludermir, Carlos Soares, Ricardo B. C. Prudêncio, 2011, ICANN.

META-LEARNING AND ALGORITHM SELECTION WORKSHOP AT ECAI 2014

Lars Kotthoff, Joaquin Vanschoren, Carlos Soares, 2014 .

Resource-bounded Outlier Detection using Clustering Methods

Luís Torgo, Carlos Soares, Carlos Soares, 2010, Data Mining for Business Applications.

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

Fábio Pinto, Carlos Soares, Pavel Brazdil, 2015, Intell. Data Anal..

Bandit-Based Automated Machine Learning

Carlos Soares, Duncan Dubugras Alcoba Ruiz, Silvia Cristina Nunes das Dores, 2018, 2018 7th Brazilian Conference on Intelligent Systems (BRACIS).

Report on the Experiments with Feature Selection in Meta-Level Learning

Carlos Soares, Pavel Brazdil, Ljupco Todorovski, 2000 .

Characterizing classification datasets: a study of meta-features for meta-learning.

Adriano Rivolli, Joaquin Vanschoren, André C. P. L. F. de Carvalho, 2018 .

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

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2008, ICONIP.

Exceptional Preferences Mining

Carlos Soares, Wouter Duivesteijn, Arno J. Knobbe, 2016, DS.

Arbitrage of forecasting experts

Luís Torgo, Fábio Pinto, Carlos Soares, 2018, Machine Learning.

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

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

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

André Carlos Ponce de Leon Ferreira de Carvalho, André Luis Debiaso Rossi, Carlos Soares, 2012, Neurocomputing.

Energy Savings in the Melting Process of an Electric Arc Furnace

Carlos Soares, Anikó Costa, Dirk Tilsner, 2000 .

Multilayer Perceptron for Label Ranking

Carlos Soares, Wouter Duivesteijn, Arno J. Knobbe, 2012, ICANN.

A Comparison of Ranking Methods for Classification Algorithm Selection

Carlos Soares, Pavel Brazdil, Carlos Soares, 2000, ECML.

Arbitrated Ensemble for Time Series Forecasting

Luís Torgo, Fábio Pinto, Carlos Soares, 2017, ECML/PKDD.

RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets

Dino Ienco, Pascal Poncelet, Carlos Soares, 2016, WorldCIST.

On the Use of Fast Subsampling Estimates for Algorithm Recommendation

Johannes Fürnkranz, Carlos Soares, Pavel Brazdil, 2002 .

UCI++: Improved Support for Algorithm Selection Using Datasetoids

Carlos Soares, 2009, PAKDD.

Monitoring Recommender Systems: A Business Intelligence Approach

Carlos Soares, Alípio Mário Jorge, João Vinagre, 2014, ICCSA.

TweeProfiles: Detection of Spatio-temporal Patterns on Twitter

Carlos Soares, Eduarda Mendes Rodrigues, Tiago Daniel Sá Cunha, 2014, ADMA.

POPSTAR at RepLab 2013: Name Ambiguity Resolution on Twitter

Fábio Pinto, Pedro Saleiro, Carlos Soares, 2013, CLEF.

TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter

Carlos Soares, Pedro Abreu, Tiago Daniel Sá Cunha, 2016, WorldCIST.

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

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, Inf. Sci..

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

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Using Meta-learning to Classify Traveling Salesman Problems

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Eduardo R. Hruschka, 2010, 2010 Eleventh Brazilian Symposium on Neural Networks.

Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2017, RecSys.

Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2017, DS.

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

Teresa Bernarda Ludermir, Carlos Soares, Ricardo B. C. Prudêncio, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

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

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Ricardo B. C. Prudêncio, 2014, Neurocomputing.

Towards Reproducible Empirical Research in Meta-Learning pdf

André Carlos Ponce de Leon Ferreira de Carvalho, Adriano Rivolli, Joaquin Vanschoren, 2018, ArXiv.

Strategies to thwart students' attrition in higher education: a data mining approach

João Mendes Moreira, Carlos Soares, Carlos Soares, 2013 .

A data warehouse to support web site automation

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, 2013, Journal of the Brazilian Computer Society.

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

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, 2013, Inf. Syst. E Bus. Manag..

TimeMachine: Entity-Centric Search and Visualization of News Archives

Eugénio C. Oliveira, Pedro Saleiro, Carlos Soares, 2016, ECIR.

Scalable Online Top-N Recommender Systems

Myra Spiliopoulou, João Gama, Marcos Aurélio Domingues, 2016, EC-Web.

A label ranking approach for selecting rankings of collaborative filtering algorithms

André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares, Tiago Cunha, 2018, SAC.

Meta-aprendizado para otimizacao de parametros de redes neurais pdf

Carlos Soares, Teresa Ludermir, Tarsicio Lucas, 2021, ArXiv.

Micro-MetaStream: Algorithm selection for time-changing data

André C. P. L. F. de Carvalho, Bruno Feres de Souza, Carlos Soares, 2021, Inf. Sci..

Inmplode: A framework to interpret multiple related rule‐based models

Carlos Soares, João Mendes-Moreira, Pedro Strecht, 2021, Expert Syst. J. Knowl. Eng..

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

Carlos Soares, Bernardo Almada-Lobo, Carlos Soares, 2016 .

The weighted rank correlation coefficient rW2 in the case of ties

Carlos Soares, Joaquim Pinto da Costa, Luís A.C. Roque, 2015 .

Planning speech for execution at different tempos

Carlos Soares, William E. Cooper, Kristina Damon, 1982 .

An ensemble regression approach for bus trip time prediction

João Mendes Moreira, Carlos Soares, Alípio Mário Jorge, 2006 .

Letter to the Editor: 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.’

Carlos Soares, Joaquim Pinto da Costa, 2007 .