Carlos Soares

Orcid: 0000-0003-4549-8917

According to our database1, Carlos Soares authored at least 188 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
VEST: automatic feature engineering for forecasting.
Mach. Learn., July, 2024

Multidimensional subgroup discovery on event logs.
Expert Syst. Appl., 2024

Time Series Data Augmentation as an Imbalanced Learning Problem.
CoRR, 2024

On-the-fly Data Augmentation for Forecasting with Deep Learning.
CoRR, 2024

Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Kernel Corrector LSTM.
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024

2023
Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators.
Neural Process. Lett., December, 2023

Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes.
Mach. Learn., November, 2023

tsMorph: generation of semi-synthetic time series to understand algorithm performance.
CoRR, 2023

GASTeN: Generative Adversarial Stress Test Networks.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance.
Proceedings of the Progress in Artificial Intelligence, 2023

Exploring the Reduction of Configuration Spaces of Workflows.
Proceedings of the Discovery Science - 26th International Conference, 2023

Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

Symbolic Data Analysis to Improve Completeness of Model Combination Methods.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Systematic Analysis of the Impact of Label Noise Correction on ML Fairness.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
Meta-features for meta-learning.
Knowl. Based Syst., 2022

A case study comparing machine learning with statistical methods for time series forecasting: size matters.
J. Intell. Inf. Syst., 2022

On the joint-effect of class imbalance and overlap: a critical review.
Artif. Intell. Rev., 2022

Machine Learning Data Markets: Trading Data using a Multi-Agent System.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

On Usefulness of Outlier Elimination in Classification Tasks.
Proceedings of the Advances in Intelligent Data Analysis XX, 2022

On Usefulness of Outlier Elimination in Classification Tasks: Extended Abstract.
Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022

Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

2021
Micro-MetaStream: Algorithm selection for time-changing data.
Inf. Sci., 2021

Inmplode: A framework to interpret multiple related rule-based models.
Expert Syst. J. Knowl. Eng., 2021

Meta-aprendizado para otimizacao de parametros de redes neurais.
CoRR, 2021

Pastprop-RNN: improved predictions of the future by correcting the past.
CoRR, 2021

Model Compression for Dynamic Forecast Combination.
CoRR, 2021

Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators.
CoRR, 2021

u-cf2vec: Representation Learning for Personalized Algorithm Selection in Recommender Systems.
CoRR, 2021

Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Promoting Fairness through Hyperparameter Optimization.
Proceedings of the IEEE International Conference on Data Mining, 2021

Novelty Detection in Physical Activity.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning.
Mach. Learn., 2020

A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization.
CoRR, 2020

Underground Train Tracking using Mobile Phone Accelerometer Data.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Factual Question Generation for the Portuguese Language.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

$\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models.
Proceedings of the Working Notes of CLEF 2020, 2020

FILLET - Platform for Intelligent Nutrition.
Proceedings of the 17th IEEE/ACS International Conference on Computer Systems and Applications, 2020

2019
Arbitrage of forecasting experts.
Mach. Learn., 2019

Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem.
Expert Syst. Appl., 2019

Machine Learning vs Statistical Methods for Time Series Forecasting: Size Matters.
CoRR, 2019

Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

KnowBots: Discovering Relevant Patterns in Chatbot Dialogues.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Dataset Morphing to Analyze the Performance of Collaborative Filtering.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
Discovering a taste for the unusual: exceptional models for preference mining.
Mach. Learn., 2018

Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering.
Inf. Sci., 2018

Preference rules for label ranking: Mining patterns in multi-target relations.
Inf. Fusion, 2018

Enhancing multilabel classification for food truck recommendation.
Expert Syst. J. Knowl. Eng., 2018

Entity-Relationship Search over the Web.
CoRR, 2018

cf2vec: Collaborative Filtering algorithm selection using graph distributed representations.
CoRR, 2018

Towards Reproducible Empirical Research in Meta-Learning.
CoRR, 2018

Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets.
CoRR, 2018

Building robust prediction models for defective sensor data using Artificial Neural Networks.
CoRR, 2018

Smart energy management as a means towards improved energy efficiency.
CoRR, 2018

A Framework for Analytical Approaches to Combine Interpretable Models.
Proceedings of the Information Management and Big Data, 5th International Conference, 2018

A label ranking approach for selecting rankings of collaborative filtering algorithms.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

CF4CF: recommending collaborative filtering algorithms using collaborative filtering.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Generalizing Knowledge in Decentralized Rule-Based Models.
Proceedings of the ECML PKDD 2018 Workshops, 2018

Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Machine Learning for Drugs Prescription.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework.
Proceedings of the Discovery Science - 21st International Conference, 2018

Label Expansion for Multi-label Classification.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

Bandit-Based Automated Machine Learning.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Inductive Transfer.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Metalearning.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

TexRep: A Text Mining Framework for Online Reputation Monitoring.
New Gener. Comput., 2017

A guidance of data stream characterization for meta-learning.
Intell. Data Anal., 2017

Label Ranking Forests.
Expert Syst. J. Knowl. Eng., 2017

Early Fusion Strategy for Entity-Relationship Retrieval.
Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017

RELink: A Research Framework and Test Collection for Entity-Relationship Retrieval.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

autoBagging: Learning to Rank Bagging Workflows with Metalearning.
Proceedings of the International Workshop on Automatic Selection, 2017

Effect of Metalearning on Feature Selection Employment.
Proceedings of the International Workshop on Automatic Selection, 2017

Arbitrated Ensemble for Time Series Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Arbitrated Ensemble for Solar Radiation Forecasting.
Proceedings of the Advances in Computational Intelligence, 2017

Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects.
Proceedings of the Progress in Artificial Intelligence, 2017

Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers.
Proceedings of the Discovery Science - 20th International Conference, 2017

2016
Entropy-based discretization methods for ranking data.
Inf. Sci., 2016

Active learning and data manipulation techniques for generating training examples in meta-learning.
Neurocomputing, 2016

Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features.
Neurocomputing, 2016

RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets.
Proceedings of the New Advances in Information Systems and Technologies, 2016

TweeProfiles3: Visualization of Spatio-Temporal Patterns on Twitter.
Proceedings of the New Advances in Information Systems and Technologies, 2016

CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Selecting Collaborative Filtering Algorithms Using Metalearning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016

Towards Automatic Generation of Metafeatures.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Collaborative Data Analysis in Hyperconnected Transportation Systems.
Proceedings of the Collaboration in a Hyperconnected World, 2016

Learning from the News: Predicting Entity Popularity on Twitter.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance.
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016

AToMRS: A Tool to Monitor Recommender Systems.
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

Can Metalearning Be Applied to Transfer on Heterogeneous Datasets?
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Scalable Online Top-N Recommender Systems.
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

TimeMachine: Entity-Centric Search and Visualization of News Archives.
Proceedings of the Advances in Information Retrieval, 2016

Exceptional Preferences Mining.
Proceedings of the Discovery Science - 19th International Conference, 2016

Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams.
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016

2015
Improving the accuracy of long-term travel time prediction using heterogeneous ensembles.
Neurocomputing, 2015

Combining regression models and metaheuristics to optimize space allocation in the retail industry.
Intell. Data Anal., 2015

Metalearning for Multiple-Domain Transfer Learning.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Pruning Bagging Ensembles with Metalearning.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

TwitterJam: Identification of mobility patterns in urban centers based on tweets.
Proceedings of the IEEE First International Smart Cities Conference, 2015

Metalearning to choose the level of analysis in nested data: A case study on error detection in foreign trade statistics.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Estimating Fuel Consumption from GPS Data.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Distance-Based Decision Tree Algorithms for Label Ranking.
Proceedings of the Progress in Artificial Intelligence, 2015

A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance.
Proceedings of the 8th International Conference on Educational Data Mining, 2015

POPmine: Tracking Political Opinion on the Web.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
A data warehouse to support web site automation.
J. Braz. Comput. Soc., 2014

MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data.
Neurocomputing, 2014

A hybrid meta-learning architecture for multi-objective optimization of SVM parameters.
Neurocomputing, 2014

Monitoring Recommender Systems: A Business Intelligence Approach.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Distributed Environment Framework for Optimization Experiments.
Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014

A Framework To Decompose And Develop Metafeatures.
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014

Merging Decision Trees: A Case Study in Predicting Student Performance.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

An Empirical Methodology to Analyze the Behavior of Bagging.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

TweeProfiles: Detection of Spatio-temporal Patterns on Twitter.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014

2013
Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals.
Inf. Syst. E Bus. Manag., 2013

Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems.
Inf. Process. Manag., 2013

Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Active selection of training instances for a random forest meta-learner.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Multi-interval Discretization of Continuous Attributes for Label Ranking.
Proceedings of the Discovery Science - 16th International Conference, 2013

POPSTAR at RepLab 2013: Name Ambiguity Resolution on Twitter.
Proceedings of the Working Notes for CLEF 2013 Conference , 2013

2012
Combining meta-learning and search techniques to select parameters for support vector machines.
Neurocomputing, 2012

Comparing state-of-the-art regression methods for long term travel time prediction.
Intell. Data Anal., 2012

Ensemble approaches for regression: A survey.
ACM Comput. Surv., 2012

Combining a multi-objective optimization approach with meta-learning for SVM parameter selection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Meta-Learning for Periodic Algorithm Selection in Time-Changing Data.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Multi-objective optimization and Meta-learning for SVM parameter selection.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012

Multilayer Perceptron for Label Ranking.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Integrating Data Mining and Optimization Techniques on Surgery Scheduling.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
Selection of algorithms to solve traveling salesman problems using meta-learning.
Int. J. Hybrid Intell. Syst., 2011

Using Contextual Information as Virtual Items on Top-N Recommender Systems
CoRR, 2011

Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Mining Association Rules for Label Ranking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Uncertainty sampling methods for selecting datasets in active meta-learning.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Customer-Oriented and Eco-friendly Networks for Health Fashionable Goods - The CoReNet Approach.
Proceedings of the Adaptation and Value Creating Collaborative Networks, 2011

Using Meta-learning to Recommend Meta-heuristics for the Traveling Salesman Problem.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Combining Meta-learning and Active Selection of Datasetoids for Algorithm Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010
Resource-bounded Outlier Detection using Clustering Methods.
Proceedings of the Data Mining for Business Applications, 2010

Data Mining for Business Applications: Introduction.
Proceedings of the Data Mining for Business Applications, 2010

Inductive Transfer.
Proceedings of the Encyclopedia of Machine Learning, 2010

Metalearning.
Proceedings of the Encyclopedia of Machine Learning, 2010

Using Meta-learning to Classify Traveling Salesman Problems.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Combining Meta-learning and Search Techniques to SVM Parameter Selection.
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010

Intelligent Document Routing as a First Step towards Workflow Automation: A Case Study Implemented in SQL.
Proceedings of the Leveraging Applications of Formal Methods, Verification, and Validation, 2010

A comprehensive comparison of ML algorithms for gene expression data classification.
Proceedings of the International Joint Conference on Neural Networks, 2010

Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification.
Proceedings of the Advances in Artificial Intelligence, 2010

A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation.
Proceedings of the Discovery Science - 13th International Conference, 2010

2009
Meta-Learning.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Meta-learning approach to gene expression data classification.
Int. J. Intell. Comput. Cybern., 2009

UCI++: Improved Support for Algorithm Selection Using Datasetoids.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data.
Proceedings of the Progress in Artificial Intelligence, 2009

Metalearning - Applications to Data Mining.
Cognitive Technologies, Springer, ISBN: 978-3-540-73262-4, 2009

2008
The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Metalearning for Gene Expression Data Classification.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Bio-Inspired Parameter Tunning of MLP Networks for Gene Expression Analysis.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Applications of Data Mining in E-Business Finance: Introduction.
Proceedings of the Applications of Data Mining in E-Business and Finance, 2007

Quantitative Evaluation of Clusterings for Marketing Applications: A Web Portal Case Study.
Proceedings of the Progress in Artificial Intelligence, 2007

2006
Data mining for business applications: KDD-2006 workshop.
SIGKDD Explor., 2006

Factor Analysis to Support the Visualization and Interpretation of Clusters of Portal Users.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Personalization of E-newsletters Based on Web Log Analysis and Clustering.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Improving SVM-Linear Predictions Using CART for Example Selection.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

A Web-Based System to Monitor the Quality of Meta-Data in Web Portals.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

2005
Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining.
Proceedings of the Progress in Artificial Intelligence, 2005

2004
A Meta-Learning Method to Select the Kernel Width in Support Vector Regression.
Mach. Learn., 2004

Using Meta-Learning to Support Data Mining.
Int. J. Comput. Sci. Appl., 2004

2003
Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results.
Mach. Learn., 2003

Is the UCI Repository Useful for Data Mining?
Proceedings of the Progress in Artificial Intelligence, 2003

2002
A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods.
Proceedings of the Advances in Artificial Intelligence, 2002

Improved Dataset Characterisation for Meta-learning.
Proceedings of the Discovery Science, 5th International Conference, 2002

2001
Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing.
Proceedings of the Progress in Artificial Intelligence, 2001

Reducing Rankings of Classifiers by Eliminating Redundant Classifiers.
Proceedings of the Progress in Artificial Intelligence, 2001

2000
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

A Comparison of Ranking Methods for Classification Algorithm Selection.
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

1998
Dynamic Discretization of Continuous Attributes.
Proceedings of the Progress in Artificial Intelligence, 1998

1997
From Graphical Objects to Terms and Back: an Extended Application Framework for Prolog.
Proceedings of the 8th Workshop on Logic Programming Environments, 1997


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