Algoritmi | User | Carlos Manuel Milheiro de Oliveira Pinto Soares

Carlos Manuel Milheiro de Oliveira Pinto Soares

Carlos Manuel Milheiro de Oliveira Pinto Soares

At LASI

Other with Dr Habil

Member of the LIACC R&D Unit

Academic Degree

Dr Habil

Current Position

at

Personal Webpage

Personal Email

csoares@fe.up.pt

Orcid

0000-0003-4549-8917

Researcher ID

FCT Public Key

Ciência ID

B114-1EE5-E938

Google Scholar

A New Proposal of Layer Insertion in Stacked Autoencoder Neural Networks

2026 | book-chapter

Subgroup Discovery Using Model Uncertainty: A Feasibility Study

2026 | book-chapter

Reducing algorithm configuration spaces for efficient search

International Journal of Data Science and Analytics

2025 | journal-article

An Empirical Evaluation of DeepAR for Univariate Time Series Forecasting

2025 | book-chapter

Estimating Completeness of Consensus Models: Geometrical and Distributional Approaches

2025 | book-chapter

Forecasting with Deep Learning: Beyond Average of Average of Average Performance

2025 | book-chapter

GASTeNv2: Generative Adversarial Stress Testing Networks with Gaussian Loss

2025 | book-chapter

Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic Ambiguous Data

2025 | book-chapter

Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space

2025 | book-chapter

Meta-learning and Data Augmentation for Stress Testing Forecasting Models

2025 | book-chapter

tsMIST: Model Sensitivity Analysis with Time Series Morphing

2025 | book-chapter

RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms

2024 | conference-paper

Machine Learning Data Market Based on Multiagent Systems

IEEE Internet Computing

2024 | journal-article

Multidimensional subgroup discovery on event logs

Expert Systems with Applications

2024 | journal-article

Kernel Corrector LSTM

2024 | book-chapter

Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM)

2024 | book-chapter

Symbolic Data Analysis to Improve Completeness of Model Combination Methods

2024 | book-chapter

Federated Learning for Computer-Aided Diagnosis of Glaucoma Using Retinal Fundus Images

Applied Sciences

2023 | journal-article

Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes

MACHINE LEARNING

2023 | journal-article

Exploring the Reduction of Configuration Spaces of Workflows

2023 | book-chapter

GASTeN: Generative Adversarial Stress Test Networks

2023 | book-chapter

Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance

2023 | book-chapter

Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators

NEURAL PROCESSING LETTERS

2023 | journal-article

Systematic analysis of the impact of label noise correction on ML Fairness

CoRR

2023 | journal-article

A case study comparing machine learning with statistical methods for time series forecasting: size matters

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

2022 | journal-article

Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach

2022 | book-chapter

Machine Learning Data Markets: Trading Data using a Multi-Agent System

2022 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT

2022 | conference-paper

Machine Learning Data Markets: Trading Data using a Multi-Agent System

IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2022, Niagara Falls, ON, Canada, November 17-20, 2022

2022 | conference-paper

Meta-features for meta-learning

Knowl. Based Syst.

2022 | journal-article

Metalearning

Cognitive Technologies

2022 | book

Multidimensional Subgroup Discovery on Event Logs

SSRN Electronic Journal

2022 | journal-article

On Usefulness of Outlier Elimination in Classification Tasks

Advances in Intelligent Data Analysis XX - 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings

2022 | conference-paper

On Usefulness of Outlier Elimination in Classification Tasks

ADVANCES IN INTELLIGENT DATA ANALYSIS XX, IDA 2022

2022 | conference-paper

On the joint-effect of class imbalance and overlap: a critical review

ARTIFICIAL INTELLIGENCE REVIEW

2022 | other

Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings

DS

2021 | edited-book

Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM

PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part I

2021 | conference-paper

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

EXPERT SYSTEMS

2021 | journal-article

Machine Learning Informed Decision-Making with Interpreted Model's Outputs: A Field Intervention

81st Annual Meeting of the Academy of Management 2021: Bringing the Manager Back in Management, AoM 2021

2021 | conference-paper

Meta-aprendizado para otimizacao de parametros de redes neurais

CoRR

2021 | other

Micro-MetaStream: Algorithm selection for time-changing data

INFORMATION SCIENCES

2021 | journal-article

Model Compression for Dynamic Forecast Combination

CoRR

2021 | other

Novelty Detection in Physical Activity

ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2

2021 | conference-paper

Pastprop-RNN: improved predictions of the future by correcting the past

CoRR

2021 | other

Preface

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021 | other

Promoting Fairness through Hyperparameter Optimization

IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021

2021 | conference-paper

Promoting Fairness through Hyperparameter Optimization

2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021)

2021 | conference-paper

VEST: automatic feature engineering for forecasting

MACHINE LEARNING

2021 | journal-article

$\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems

20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020

2020 | conference-paper

A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization

CoRR

2020 | other

An empirical analysis of binary transformation strategies and base algorithms for multi-label learning

MACHINE LEARNING

2020 | journal-article

Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks

14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019)

2020 | conference-paper

FILLET - Platform for Intelligent Nutrition

17th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2020, Antalya, Turkey, November 2-5, 2020

2020 | conference-paper

Factual Question Generation for the Portuguese Language

International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2020, Novi Sad, Serbia, August 24-26, 2020

2020 | conference-paper

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

Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, September 22-25, 2020.

2020 | conference-paper

Process discovery on geolocation data

Transportation Research Procedia

2020 | conference-paper

Underground Train Tracking using Mobile Phone Accelerometer Data

2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)

2020 | conference-paper

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

Expert Systems with Applications

2019 | journal-article

A Framework for Analytical Approaches to Combine Interpretable Models

2019 | book-chapter

Arbitrage of forecasting experts

MACHINE LEARNING

2019 | journal-article

Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT I

2019 | conference-paper

Dataset Morphing to Analyze the Performance of Collaborative Filtering

Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings

2019 | conference-paper

Generalizing Knowledge in Decentralized Rule-Based Models

2019 | book-chapter

KnowBots: Discovering Relevant Patterns in Chatbot Dialogues

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019 | book

Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes

Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings

2019 | conference-paper

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

CoRR

2019 | other

A Label Ranking approach for selecting rankings of Collaborative Filtering algorithms

33RD ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING

2018 | conference-paper

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

CoRR

2018 | other

Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts

Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings

2018 | conference-paper

Bandit-Based Automated Machine Learning

2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS)

2018 | conference-paper

Building robust prediction models for defective sensor data using Artificial Neural Networks

CoRR

2018 | other

CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework

Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings

2018 | conference-paper

CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering

12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS)

2018 | conference-paper

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

MACHINE LEARNING

2018 | journal-article

Enhancing multilabel classification for food truck recommendation

EXPERT SYSTEMS

2018 | journal-article

Entity-Relationship Search over the Web

CoRR

2018 | other

Label Expansion for Multi-Label Classification

2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS)

2018 | conference-paper

Machine Learning for Drugs Prescription

Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I

2018 | conference-paper

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

INFORMATION SCIENCES

2018 | other

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

INFORMATION FUSION

2018 | journal-article

Providing proactiveness: Data analysis techniques portfolios

The MANTIS Book: Cyber Physical System Based Proactive Collaborative Maintenance

2018 | book-chapter

Smart energy management as a means towards improved energy efficiency

CoRR

2018 | other

Success stories on real pilots

The MANTIS Book: Cyber Physical System Based Proactive Collaborative Maintenance

2018 | book-chapter

Towards Reproducible Empirical Research in Meta-Learning

CoRR

2018 | other

Using Metalearning for Parameter Tuning in Neural Networks

VIPIMAGE 2017

2018 | conference-paper

cf2vec: Collaborative Filtering algorithm selection using graph distributed representations

CoRR

2018 | other

A guidance of data stream characterization for meta-learning

INTELLIGENT DATA ANALYSIS

2017 | journal-article

Arbitrated Ensemble for Solar Radiation Forecasting

ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT I

2017 | conference-paper

Arbitrated Ensemble for Time Series Forecasting

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT II

2017 | conference-paper

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), Shinjuku, Tokyo, Japan, August 11, 2017.

2017 | conference-paper

Effect of Metalearning on Feature Selection Employment

Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases, AutoML@PKDD/ECML 2017, Skopje, Macedonia, September 22, 2017.

2017 | conference-paper

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

Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval@ACL 2017, Vancouver, Canada, August 3-4, 2017

2017 | conference-paper

Inductive Transfer

Encyclopedia of Machine Learning and Data Mining

2017 | book-chapter

Label Ranking Forests

EXPERT SYSTEMS

2017 | journal-article

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

PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017)

2017 | conference-paper

Metalearning

Encyclopedia of Machine Learning and Data Mining

2017 | book-chapter

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

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17)

2017 | conference-paper

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, Shinjuku, Tokyo, Japan, August 7-11, 2017

2017 | conference-paper

Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers

DISCOVERY SCIENCE, DS 2017

2017 | conference-paper

Scalable Online Top-N Recommender Systems

E-COMMERCE AND WEB TECHNOLOGIES, EC-WEB 2016

2017 | conference-paper

TexRep: A Text Mining Framework for Online Reputation Monitoring

NEW GENERATION COMPUTING

2017 | journal-article

autoBagging: Learning to Rank Bagging Workflows with Metalearning

Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases, AutoML@PKDD/ECML 2017, Skopje, Macedonia, September 22, 2017.

2017 | conference-paper

AToMRS: A Tool to Monitor Recommender Systems

KDIR: PROCEEDINGS OF THE 8TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL. 1

2016 | conference-paper

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

NEUROCOMPUTING

2016 | journal-article

Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings

IDA

2016 | edited-book

CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I

2016 | conference-paper

Can Metalearning Be Applied to Transfer on Heterogeneous Datasets?

Hybrid Artificial Intelligent Systems

2016 | conference-paper

Collaborative Data Analysis in Hyperconnected Transportation Systems

COLLABORATION IN A HYPERCONNECTED WORLD

2016 | conference-paper

Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance

ADVANCES IN INTELLIGENT DATA ANALYSIS XV

2016 | conference-paper

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

HEALTH SYSTEMS

2016 | journal-article

Entropy-based discretization methods for ranking data

INFORMATION SCIENCES

2016 | journal-article

Exceptional Preferences Mining

DISCOVERY SCIENCE, (DS 2016)

2016 | conference-paper

Learning from the News: Predicting Entity Popularity on Twitter

ADVANCES IN INTELLIGENT DATA ANALYSIS XV

2016 | conference-paper

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

NEUROCOMPUTING

2016 | journal-article

Preface

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2016 | book

RetweetPatterns: detection of spatio-temporal patterns of retweets

NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1

2016 | conference-paper

Selecting Collaborative Filtering Algorithms Using Metalearning

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II

2016 | conference-paper

Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams

Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, C3S2E '16, Porto, Portugal, July 20-22, 2016

2016 | conference-paper

TimeMachine: Entity-Centric Search and Visualization of News Archives

Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings

2016 | conference-paper

Towards Automatic Generation of Metafeatures

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2016, PT I

2016 | conference-paper

TweeProfiles3: visualization of spatio-temporal patterns on Twitter

NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1

2016 | conference-paper

A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance

Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015

2015 | conference-paper

Are Rankings of Financial Analysts Useful to Investors?

SSRN Electronic Journal

2015 | journal-article

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

INTELLIGENT DATA ANALYSIS

2015 | journal-article

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

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

2015 | journal-article

Distance-Based Decision Tree Algorithms for Label Ranking

PROGRESS IN ARTIFICIAL INTELLIGENCE

2015 | conference-paper

Estimating Fuel Consumption from GPS Data

PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2015)

2015 | conference-paper

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

NEUROCOMPUTING

2015 | journal-article

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

ECML/PKDD (1)

2015 | edited-book

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

ECML/PKDD (2)

2015 | edited-book

Metalearning for multiple-domain transfer learning

CEUR Workshop Proceedings

2015 | conference-paper

Metalearning to Choose the Level of Analysis in Nested Data: A Case Study on Error Detection in Foreign Trade Statistics

2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

2015 | conference-paper

POPmine: Tracking Political Opinion on the Web

CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING

2015 | conference-paper

Pruning Bagging Ensembles with Metalearning

MULTIPLE CLASSIFIER SYSTEMS (MCS 2015)

2015 | conference-paper

The weighted rank correlation coefficient in the case of ties

STATISTICS & PROBABILITY LETTERS

2015 | journal-article

TwitterJam: Identification of Mobility Patterns in Urban Centers Based on Tweets

2015 IEEE FIRST INTERNATIONAL SMART CITIES CONFERENCE (ISC2)

2015 | conference-paper

Understanding Rankings of Financial Analysts

SSRN Electronic Journal

2015 | journal-article

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

Advances in Intelligent Data Analysis XIV

2015 | conference-paper

A data warehouse to support web site automation

Journal of the Brazilian Computer Society

2014 | journal-article

A framework to decompose and develop metafeatures

CEUR Workshop Proceedings

2014 | conference-paper

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

Neurocomputing

2014 | journal-article

An Empirical Methodology to Analyze the Behavior of Bagging

ADVANCED DATA MINING AND APPLICATIONS, ADMA 2014

2014 | conference-paper

Analysing Collaborative Filtering algorithms in a multi-agent environment

Modelling and Simulation 2014 - European Simulation and Modelling Conference, ESM 2014

2014 | conference-paper

Distributed Enviroment Framework for Optimization Experiments

2014 14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ITS APPLICATIONS (ICCSA)

2014 | conference-paper

Merging Decision Trees: A Case Study in Predicting Student Performance

ADVANCED DATA MINING AND APPLICATIONS, ADMA 2014

2014 | conference-paper

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

Neurocomputing

2014 | journal-article

Monitoring Recommender Systems: A Business Intelligence Approach

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, PART VI - ICCSA 2014

2014 | conference-paper

Preface

CEUR Workshop Proceedings

2014 | conference-paper

Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014

MetaSel@ECAI

2014 | edited-book

Simulation of the ensemble generation process: The divergence between data and model similarity

Modelling and Simulation 2014 - European Simulation and Modelling Conference, ESM 2014

2014 | conference-paper

TweeProfiles: Detection of Spatio-temporal Patterns on Twitter

ADVANCED DATA MINING AND APPLICATIONS, ADMA 2014

2014 | conference-paper

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

Integration of Data Mining in Business Intelligence Systems

2014 | book-chapter

Active Selection of Training Instances for a Random forest Meta-Learner

2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

2013 | conference-paper

CN2-SD for subgroup discovery in a highly customized textile industry: A case study

Lecture Notes in Mechanical Engineering

2013 | book-chapter

Clustering for decision support in the fashion industry: A case study

Lecture Notes in Mechanical Engineering

2013 | book-chapter

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

Information Processing and Management

2013 | journal-article

Multi-interval discretization of continuous attributes for label ranking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013 | book

POPSTAR at RepLab 2013: Name ambiguity resolution on Twitter

CEUR Workshop Proceedings

2013 | conference-paper

Space allocation in the retail industry: A decision support system integrating evolutionary algorithms and regression models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013 | book

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

Information Systems and e-Business Management

2013 | journal-article

A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

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

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

2012 | conference-paper

Combining meta-learning and optimization algorithms for parameter selection

CEUR Workshop Proceedings

2012 | conference-paper

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

Neurocomputing

2012 | journal-article

Combining meta-learning with multi-objective particle swarm algorithms for svm parameter selection: An experimental analysis

Proceedings - Brazilian Symposium on Neural Networks, SBRN

2012 | conference-paper

Comparing state-of-the-art regression methods for long term travel time prediction

Intelligent Data Analysis

2012 | journal-article

Ensemble approaches for regression: A survey

ACM Computing Surveys

2012 | journal-article

Finding interesting contexts for explaining deviations in bus trip duration using distribution rules

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

Integrating data mining and optimization techniques on surgery scheduling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

Meta-learning for periodic algorithm selection in time-changing data

Proceedings - Brazilian Symposium on Neural Networks, SBRN

2012 | conference-paper

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

Proceedings of the International Joint Conference on Neural Networks

2012 | conference-paper

Multilayer perceptron for label ranking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

Predicting the accuracy of regression models in the retail industry

CEUR Workshop Proceedings

2012 | conference-paper

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

Hybrid Artificial Intelligent Systems, Part I

2011 | book-chapter

Combining meta-learning and active selection of datasetoids for algorithm selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011 | book

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

Adaptation and Value Creating Collaborative Networks

2011 | book-chapter

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

ADAPTATION AND VALUE CREATING COLLABORATIVE NETWORKS

2011 | conference-paper

Exploiting additional dimensions as virtual items on top-N recommender systems

Proceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011

2011 | conference-paper

Mining Association Rules for Label Ranking

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II: 15TH PACIFIC-ASIA CONFERENCE, PAKDD 2011

2011 | conference-paper

Mining Association Rules for Label Ranking

2011 | other

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

Int. J. Hybrid Intell. Syst.

2011 | journal-article

Uncertainty Sampling Methods for Selecting Datasets in Active Meta-Learning

2011 International Joint Conference on Neural Networks

2011 | book

Uncertainty Sampling Methods for Selecting Datasets in Active Meta-Learning

2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

2011 | conference-paper

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

Artificial Neural Networks and Machine Learning - Icann 2011, Pt Ii

2011 | book-chapter

Uncertainty sampling-based active selection of datasetoids for meta-learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011 | book

Using meta-learning to recommend meta-heuristics for the traveling salesman problem

Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011

2011 | conference-paper

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

Discovery Science, Ds 2010

2010 | book-chapter

A comprehensive comparison of ML algorithms for gene expression data classification

2010 International Joint Conference on Neural Networks Ijcnn 2010

2010 | book-chapter

A comprehensive comparison of ML algorithms for gene expression data classification

Proceedings of the International Joint Conference on Neural Networks

2010 | conference-paper

A similarity-based adaptation of naive Bayes for label ranking: Application to the metalearning problem of algorithm recommendation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010 | book

Combining meta-learning and search techniques to SVM parameter selection

Proceedings - 2010 11th Brazilian Symposium on Neural Networks, SBRN 2010

2010 | conference-paper

Data Mining for Business Applications

Frontiers in Artificial Intelligence and Applications

2010 | edited-book

Data mining for business applications: Introduction

Frontiers in Artificial Intelligence and Applications

2010 | book

Empirical evaluation of ranking prediction methods for gene expression data classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010 | book

Frontiers in Artificial Intelligence and Applications: Preface

Frontiers in Artificial Intelligence and Applications

2010 | book

Inductive Transfer

Encyclopedia of Machine Learning

2010 | book-chapter

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

Leveraging Applications of Formal Methods, Verification, and Validation, Pt I

2010 | book-chapter

Metalearning

Encyclopedia of Machine Learning

2010 | book-chapter

Resource-bounded outlier detection using clustering methods

Frontiers in Artificial Intelligence and Applications

2010 | book

Using meta-learning to classify Traveling Salesman Problems

Proceedings - 2010 11th Brazilian Symposium on Neural Networks, SBRN 2010

2010 | conference-paper

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

Advances in Neuro-Information Processing, Pt Ii

2009 | book-chapter

Bioinspired parameter tuning of mlp networks for gene expression analysis: Quality of fitness estimates vs. number of solutions analysed

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

Cognitive Technologies: Preface

Cognitive Technologies

2009 | book

Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data

Progress in Artificial Intelligence, Proceedings

2009 | book-chapter

Detecting errors in foreign trade transactions: Dealing with insufficient data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

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

Machine Learning and Data Mining in Pattern Recognition

2009 | book-chapter

Ensemble learning: A study on different variants of the dynamic selection approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

Meta-Learning

Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes)

2009 | book-chapter

Meta-Learning applications to Data Mining

Springer

2009 | book

Meta-learning approach to gene expression data classification

International Journal of Intelligent Computing and Cybernetics

2009 | journal-article

Metalearning - Applications to Data Mining

Cognitive Technologies

2009 | book

Selection of heuristics for the job-shop scheduling problem based on the prediction of gaps in machines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

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

Advances in Knowledge Discovery and Data Mining, Proceedings

2009 | book-chapter

The effect of varying parameters and focusing on bus travel time prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

UCI plus plus : Improved Support for Algorithm Selection Using Datasetoids

Advances in Knowledge Discovery and Data Mining, Proceedings

2009 | book-chapter

UCI++: Improved support for algorithm selection using datasetoids

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

A platform to support web site adaptation and monitoring of its effects: A case study

AAAI Workshop - Technical Report

2008 | conference-paper

Applications of Data Mining in E-Business and Finance

DMBiz@PAKDD

2008 | edited-book

Applications of data mining in E-business finance: Introduction

Frontiers in Artificial Intelligence and Applications

2008 | book

Bio-inspired parameter tunning of MLP networks for gene expression analysis

Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

2008 | conference-paper

Empirical evaluation of ranking trees on some metalearning problems

AAAI Workshop - Technical Report

2008 | conference-paper

Metalearning for gene expression data classification

Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

2008 | conference-paper

Preface

Frontiers in Artificial Intelligence and Applications

2008 | book

The impact of contextual information on the accuracy of existing recommender systems for Web personalization

Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008

2008 | conference-paper

Letter to the editor [2]

Australian and New Zealand Journal of Statistics

2007 | journal-article

Quantitative evaluation of Clusterings for marketing applications: A web portal case study

Progress in Artificial Intelligence, Proceedings

2007 | book-chapter

Quantitative evaluation of clusterings for marketing applications: A web portal case study

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2007 | book

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.'

Australian & New Zealand Journal of Statistics

2007 | journal-article

A web-based system to monitor the quality of meta-data in web portals

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Workshops Proceedings

2006 | book

Data mining for business applications: KDD-2006 workshop

SIGKDD Explorations

2006 | journal-article

Factor analysis to support the visualization and interpretation of clusters of portal users

2006 IEEE/WIC/ACM International Conference on Web Intelligence

2006 | book

Improving SVM-linear predictions using CART for example selection

Foundations of Intelligent Systems, Proceedings

2006 | book-chapter

Improving SVM-linear predictions using CART for example selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2006 | book

Personalization of e-newsletters based on web log analysis and clustering

2006 IEEE/WIC/ACM International Conference on Web Intelligence

2006 | book

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

Proceedings of the ACM Symposium on Applied Computing

2006 | conference-paper

Sequence mining on web access logs: A case study

Belgian/Netherlands Artificial Intelligence Conference

2006 | conference-paper

A Weighted Rank Measure of Correlation

Australian and New Zealand Journal of Statistics

2005 | journal-article

A weighted rank measure of correlation

Australian and New Zealand Journal of Statistics

2005 | journal-article

A weighted rank measure of correlation

Australian & New Zealand Journal of Statistics

2005 | journal-article

Monitoring the quality of meta-data in web portals using statistics, visualization and data mining

Progress in Artificial Intelligence, Proceedings

2005 | book-chapter

Monitoring the quality of meta-data in web portals using statistics, visualization and data mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2005 | book

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

Machine Learning

2004 | journal-article

A meta-learning method to select the kernel width in support vector regression

Machine Learning

2004 | journal-article

Using Meta-Learning to Support Data Mining

IJCSA

2004 | journal-article

Using Meta-Learning to Support Data Mining

International Journal of Computer Science & Applications

2004 | journal-article

Is the UCI repository useful for data mining?

Progress in Artificial Intelligence

2003 | book-chapter

Is the UCI repository useful for data mining?

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2003 | book

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

Machine Learning

2003 | journal-article

Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results

Machine Learning

2003 | journal-article

A comparative study of some issues concerning algorithm recommendation using ranking methods

Advances in Artificial Intelligence - Iberamia 2002, Proceedings

2002 | book-chapter

A comparative study of some issues concerning algorithm recommendation using ranking methods

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2002 | conference-paper

Improved dataset characterisation for meta-learning

Discovery Science, Proceedings

2002 | book-chapter

Improved dataset characterisation for meta-learning

DISCOVERY SCIENCE, PROCEEDINGS

2002 | journal-article

Reducing rankings of classifiers by eliminating redundant classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2001 | book

Sampling-based relative landmarks: Systematically test-driving algorithms before choosing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2001 | book

A comparison of ranking methods for classification algorithm selection

Machine Learning: Ecml 2000

2000 | book-chapter

A comparison of ranking methods for classification algorithm selection

MACHINE LEARNING: ECML 2000

2000 | journal-article

Measures to evaluate rankings of classification algorithms

Data Analysis, Classification, and Related Methods

2000 | book-chapter

Measures to evaluate rankings of classification algorithms

DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS

2000 | conference-paper

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

2000 | other

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

Lecture Notes in Computer Science

2000 | journal-article

Dynamic discretization of continuous attributes

Progress in Artificial Intelligence-Iberamia 98

1998 | book-chapter

Dynamic discretization of continuous attributes

PROGRESS IN ARTIFICIAL INTELLIGENCE-IBERAMIA 98

1998 | journal-article

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

Proceedings of the 8th Workshop on Logic Programming Environments, LPE '97, post-conference workshop at ICLP 1997, Leuven, Belgium, July 11, 1997

1997 | conference-paper

A New Proposal of Layer Insertion in Stacked Autoencoder Neural Networks

2026 | book-chapter

Subgroup Discovery Using Model Uncertainty: A Feasibility Study

2026 | book-chapter

Reducing algorithm configuration spaces for efficient search

International Journal of Data Science and Analytics

2025 | journal-article

An Empirical Evaluation of DeepAR for Univariate Time Series Forecasting

2025 | book-chapter

Estimating Completeness of Consensus Models: Geometrical and Distributional Approaches

2025 | book-chapter

Forecasting with Deep Learning: Beyond Average of Average of Average Performance

2025 | book-chapter

GASTeNv2: Generative Adversarial Stress Testing Networks with Gaussian Loss

2025 | book-chapter

Hubris Benchmarking with AmbiGANs: Assessing Model Overconfidence with Synthetic Ambiguous Data

2025 | book-chapter

Meta Subspace Analysis: Understanding Model (Mis)behavior in the Metafeature Space

2025 | book-chapter

Meta-learning and Data Augmentation for Stress Testing Forecasting Models

2025 | book-chapter

tsMIST: Model Sensitivity Analysis with Time Series Morphing

2025 | book-chapter

RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms

2024 | conference-paper

Machine Learning Data Market Based on Multiagent Systems

IEEE Internet Computing

2024 | journal-article

Multidimensional subgroup discovery on event logs

Expert Systems with Applications

2024 | journal-article

Kernel Corrector LSTM

2024 | book-chapter

Shapley-Based Data Valuation Method for the Machine Learning Data Markets (MLDM)

2024 | book-chapter

Symbolic Data Analysis to Improve Completeness of Model Combination Methods

2024 | book-chapter

Federated Learning for Computer-Aided Diagnosis of Glaucoma Using Retinal Fundus Images

Applied Sciences

2023 | journal-article

Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes

MACHINE LEARNING

2023 | journal-article

Exploring the Reduction of Configuration Spaces of Workflows

2023 | book-chapter

GASTeN: Generative Adversarial Stress Test Networks

2023 | book-chapter

Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance

2023 | book-chapter

Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators

NEURAL PROCESSING LETTERS

2023 | journal-article

Systematic analysis of the impact of label noise correction on ML Fairness

CoRR

2023 | journal-article

A case study comparing machine learning with statistical methods for time series forecasting: size matters

JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

2022 | journal-article

Density Estimation in High-Dimensional Spaces: A Multivariate Histogram Approach

2022 | book-chapter

Machine Learning Data Markets: Trading Data using a Multi-Agent System

2022 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY, WI-IAT

2022 | conference-paper

Machine Learning Data Markets: Trading Data using a Multi-Agent System

IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2022, Niagara Falls, ON, Canada, November 17-20, 2022

2022 | conference-paper

Meta-features for meta-learning

Knowl. Based Syst.

2022 | journal-article

Metalearning

Cognitive Technologies

2022 | book

Multidimensional Subgroup Discovery on Event Logs

SSRN Electronic Journal

2022 | journal-article

On Usefulness of Outlier Elimination in Classification Tasks

Advances in Intelligent Data Analysis XX - 20th International Symposium on Intelligent Data Analysis, IDA 2022, Rennes, France, April 20-22, 2022, Proceedings

2022 | conference-paper

On Usefulness of Outlier Elimination in Classification Tasks

ADVANCES IN INTELLIGENT DATA ANALYSIS XX, IDA 2022

2022 | conference-paper

On the joint-effect of class imbalance and overlap: a critical review

ARTIFICIAL INTELLIGENCE REVIEW

2022 | other

Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings

DS

2021 | edited-book

Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM

PRICAI 2021: Trends in Artificial Intelligence - 18th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2021, Hanoi, Vietnam, November 8-12, 2021, Proceedings, Part I

2021 | conference-paper

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

EXPERT SYSTEMS

2021 | journal-article

Machine Learning Informed Decision-Making with Interpreted Model's Outputs: A Field Intervention

81st Annual Meeting of the Academy of Management 2021: Bringing the Manager Back in Management, AoM 2021

2021 | conference-paper

Meta-aprendizado para otimizacao de parametros de redes neurais

CoRR

2021 | other

Micro-MetaStream: Algorithm selection for time-changing data

INFORMATION SCIENCES

2021 | journal-article

Model Compression for Dynamic Forecast Combination

CoRR

2021 | other

Novelty Detection in Physical Activity

ICAART: PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE - VOL 2

2021 | conference-paper

Pastprop-RNN: improved predictions of the future by correcting the past

CoRR

2021 | other

Preface

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2021 | other

Promoting Fairness through Hyperparameter Optimization

IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021

2021 | conference-paper

Promoting Fairness through Hyperparameter Optimization

2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021)

2021 | conference-paper

VEST: automatic feature engineering for forecasting

MACHINE LEARNING

2021 | journal-article

$\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems

20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020

2020 | conference-paper

A Bandit-Based Algorithm for Fairness-Aware Hyperparameter Optimization

CoRR

2020 | other

An empirical analysis of binary transformation strategies and base algorithms for multi-label learning

MACHINE LEARNING

2020 | journal-article

Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks

14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019)

2020 | conference-paper

FILLET - Platform for Intelligent Nutrition

17th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2020, Antalya, Turkey, November 2-5, 2020

2020 | conference-paper

Factual Question Generation for the Portuguese Language

International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2020, Novi Sad, Serbia, August 24-26, 2020

2020 | conference-paper

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

Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum, Thessaloniki, Greece, September 22-25, 2020.

2020 | conference-paper

Process discovery on geolocation data

Transportation Research Procedia

2020 | conference-paper

Underground Train Tracking using Mobile Phone Accelerometer Data

2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)

2020 | conference-paper

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

Expert Systems with Applications

2019 | journal-article

A Framework for Analytical Approaches to Combine Interpretable Models

2019 | book-chapter

Arbitrage of forecasting experts

MACHINE LEARNING

2019 | journal-article

Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT I

2019 | conference-paper

Dataset Morphing to Analyze the Performance of Collaborative Filtering

Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings

2019 | conference-paper

Generalizing Knowledge in Decentralized Rule-Based Models

2019 | book-chapter

KnowBots: Discovering Relevant Patterns in Chatbot Dialogues

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019 | book

Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes

Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings

2019 | conference-paper

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

CoRR

2019 | other

A Label Ranking approach for selecting rankings of Collaborative Filtering algorithms

33RD ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING

2018 | conference-paper

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

CoRR

2018 | other

Analysing the Footprint of Classifiers in Overlapped and Imbalanced Contexts

Advances in Intelligent Data Analysis XVII - 17th International Symposium, IDA 2018, 's-Hertogenbosch, The Netherlands, October 24-26, 2018, Proceedings

2018 | conference-paper

Bandit-Based Automated Machine Learning

2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS)

2018 | conference-paper

Building robust prediction models for defective sensor data using Artificial Neural Networks

CoRR

2018 | other

CF4CF-META: Hybrid Collaborative Filtering Algorithm Selection Framework

Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings

2018 | conference-paper

CF4CF: Recommending Collaborative Filtering algorithms using Collaborative Filtering

12TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS)

2018 | conference-paper

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

MACHINE LEARNING

2018 | journal-article

Enhancing multilabel classification for food truck recommendation

EXPERT SYSTEMS

2018 | journal-article

Entity-Relationship Search over the Web

CoRR

2018 | other

Label Expansion for Multi-Label Classification

2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS)

2018 | conference-paper

Machine Learning for Drugs Prescription

Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I

2018 | conference-paper

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

INFORMATION SCIENCES

2018 | other

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

INFORMATION FUSION

2018 | journal-article

Providing proactiveness: Data analysis techniques portfolios

The MANTIS Book: Cyber Physical System Based Proactive Collaborative Maintenance

2018 | book-chapter

Smart energy management as a means towards improved energy efficiency

CoRR

2018 | other

Success stories on real pilots

The MANTIS Book: Cyber Physical System Based Proactive Collaborative Maintenance

2018 | book-chapter

Towards Reproducible Empirical Research in Meta-Learning

CoRR

2018 | other

Using Metalearning for Parameter Tuning in Neural Networks

VIPIMAGE 2017

2018 | conference-paper

cf2vec: Collaborative Filtering algorithm selection using graph distributed representations

CoRR

2018 | other

A guidance of data stream characterization for meta-learning

INTELLIGENT DATA ANALYSIS

2017 | journal-article

Arbitrated Ensemble for Solar Radiation Forecasting

ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT I

2017 | conference-paper

Arbitrated Ensemble for Time Series Forecasting

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT II

2017 | conference-paper

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), Shinjuku, Tokyo, Japan, August 11, 2017.

2017 | conference-paper

Effect of Metalearning on Feature Selection Employment

Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases, AutoML@PKDD/ECML 2017, Skopje, Macedonia, September 22, 2017.

2017 | conference-paper

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

Proceedings of the 11th International Workshop on Semantic Evaluation, SemEval@ACL 2017, Vancouver, Canada, August 3-4, 2017

2017 | conference-paper

Inductive Transfer

Encyclopedia of Machine Learning and Data Mining

2017 | book-chapter

Label Ranking Forests

EXPERT SYSTEMS

2017 | journal-article

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

PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2017)

2017 | conference-paper

Metalearning

Encyclopedia of Machine Learning and Data Mining

2017 | book-chapter

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

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17)

2017 | conference-paper

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, Shinjuku, Tokyo, Japan, August 7-11, 2017

2017 | conference-paper

Recommending Collaborative Filtering Algorithms Using Subsampling Landmarkers

DISCOVERY SCIENCE, DS 2017

2017 | conference-paper

Scalable Online Top-N Recommender Systems

E-COMMERCE AND WEB TECHNOLOGIES, EC-WEB 2016

2017 | conference-paper

TexRep: A Text Mining Framework for Online Reputation Monitoring

NEW GENERATION COMPUTING

2017 | journal-article

autoBagging: Learning to Rank Bagging Workflows with Metalearning

Proceedings of the International Workshop on Automatic Selection, Configuration and Composition of Machine Learning Algorithms co-located with the European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases, AutoML@PKDD/ECML 2017, Skopje, Macedonia, September 22, 2017.

2017 | conference-paper

AToMRS: A Tool to Monitor Recommender Systems

KDIR: PROCEEDINGS OF THE 8TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL. 1

2016 | conference-paper

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

NEUROCOMPUTING

2016 | journal-article

Advances in Intelligent Data Analysis XV - 15th International Symposium, IDA 2016, Stockholm, Sweden, October 13-15, 2016, Proceedings

IDA

2016 | edited-book

CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I

2016 | conference-paper

Can Metalearning Be Applied to Transfer on Heterogeneous Datasets?

Hybrid Artificial Intelligent Systems

2016 | conference-paper

Collaborative Data Analysis in Hyperconnected Transportation Systems

COLLABORATION IN A HYPERCONNECTED WORLD

2016 | conference-paper

Combining Boosted Trees with Metafeature Engineering for Predictive Maintenance

ADVANCES IN INTELLIGENT DATA ANALYSIS XV

2016 | conference-paper

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

HEALTH SYSTEMS

2016 | journal-article

Entropy-based discretization methods for ranking data

INFORMATION SCIENCES

2016 | journal-article

Exceptional Preferences Mining

DISCOVERY SCIENCE, (DS 2016)

2016 | conference-paper

Learning from the News: Predicting Entity Popularity on Twitter

ADVANCES IN INTELLIGENT DATA ANALYSIS XV

2016 | conference-paper

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

NEUROCOMPUTING

2016 | journal-article

Preface

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2016 | book

RetweetPatterns: detection of spatio-temporal patterns of retweets

NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1

2016 | conference-paper

Selecting Collaborative Filtering Algorithms Using Metalearning

Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II

2016 | conference-paper

Sentiment Aggregate Functions for Political Opinion Polling using Microblog Streams

Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, C3S2E '16, Porto, Portugal, July 20-22, 2016

2016 | conference-paper

TimeMachine: Entity-Centric Search and Visualization of News Archives

Advances in Information Retrieval - 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20-23, 2016. Proceedings

2016 | conference-paper

Towards Automatic Generation of Metafeatures

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2016, PT I

2016 | conference-paper

TweeProfiles3: visualization of spatio-temporal patterns on Twitter

NEW ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1

2016 | conference-paper

A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance

Proceedings of the 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015

2015 | conference-paper

Are Rankings of Financial Analysts Useful to Investors?

SSRN Electronic Journal

2015 | journal-article

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

INTELLIGENT DATA ANALYSIS

2015 | journal-article

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

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

2015 | journal-article

Distance-Based Decision Tree Algorithms for Label Ranking

PROGRESS IN ARTIFICIAL INTELLIGENCE

2015 | conference-paper

Estimating Fuel Consumption from GPS Data

PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2015)

2015 | conference-paper

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

NEUROCOMPUTING

2015 | journal-article

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

ECML/PKDD (1)

2015 | edited-book

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

ECML/PKDD (2)

2015 | edited-book

Metalearning for multiple-domain transfer learning

CEUR Workshop Proceedings

2015 | conference-paper

Metalearning to Choose the Level of Analysis in Nested Data: A Case Study on Error Detection in Foreign Trade Statistics

2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

2015 | conference-paper

POPmine: Tracking Political Opinion on the Web

CIT/IUCC/DASC/PICOM 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY - UBIQUITOUS COMPUTING AND COMMUNICATIONS - DEPENDABLE, AUTONOMIC AND SECURE COMPUTING - PERVASIVE INTELLIGENCE AND COMPUTING

2015 | conference-paper

Pruning Bagging Ensembles with Metalearning

MULTIPLE CLASSIFIER SYSTEMS (MCS 2015)

2015 | conference-paper

The weighted rank correlation coefficient in the case of ties

STATISTICS & PROBABILITY LETTERS

2015 | journal-article

TwitterJam: Identification of Mobility Patterns in Urban Centers Based on Tweets

2015 IEEE FIRST INTERNATIONAL SMART CITIES CONFERENCE (ISC2)

2015 | conference-paper

Understanding Rankings of Financial Analysts

SSRN Electronic Journal

2015 | journal-article

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

Advances in Intelligent Data Analysis XIV

2015 | conference-paper

A data warehouse to support web site automation

Journal of the Brazilian Computer Society

2014 | journal-article

A framework to decompose and develop metafeatures

CEUR Workshop Proceedings

2014 | conference-paper

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

Neurocomputing

2014 | journal-article

An Empirical Methodology to Analyze the Behavior of Bagging

ADVANCED DATA MINING AND APPLICATIONS, ADMA 2014

2014 | conference-paper

Analysing Collaborative Filtering algorithms in a multi-agent environment

Modelling and Simulation 2014 - European Simulation and Modelling Conference, ESM 2014

2014 | conference-paper

Distributed Enviroment Framework for Optimization Experiments

2014 14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ITS APPLICATIONS (ICCSA)

2014 | conference-paper

Merging Decision Trees: A Case Study in Predicting Student Performance

ADVANCED DATA MINING AND APPLICATIONS, ADMA 2014

2014 | conference-paper

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

Neurocomputing

2014 | journal-article

Monitoring Recommender Systems: A Business Intelligence Approach

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, PART VI - ICCSA 2014

2014 | conference-paper

Preface

CEUR Workshop Proceedings

2014 | conference-paper

Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, MetaSel@ECAI 2014, Prague, Czech Republic, August 19, 2014

MetaSel@ECAI

2014 | edited-book

Simulation of the ensemble generation process: The divergence between data and model similarity

Modelling and Simulation 2014 - European Simulation and Modelling Conference, ESM 2014

2014 | conference-paper

TweeProfiles: Detection of Spatio-temporal Patterns on Twitter

ADVANCED DATA MINING AND APPLICATIONS, ADMA 2014

2014 | conference-paper

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

Integration of Data Mining in Business Intelligence Systems

2014 | book-chapter

Active Selection of Training Instances for a Random forest Meta-Learner

2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

2013 | conference-paper

CN2-SD for subgroup discovery in a highly customized textile industry: A case study

Lecture Notes in Mechanical Engineering

2013 | book-chapter

Clustering for decision support in the fashion industry: A case study

Lecture Notes in Mechanical Engineering

2013 | book-chapter

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

Information Processing and Management

2013 | journal-article

Multi-interval discretization of continuous attributes for label ranking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013 | book

POPSTAR at RepLab 2013: Name ambiguity resolution on Twitter

CEUR Workshop Proceedings

2013 | conference-paper

Space allocation in the retail industry: A decision support system integrating evolutionary algorithms and regression models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2013 | book

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

Information Systems and e-Business Management

2013 | journal-article

A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

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

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

2012 | conference-paper

Combining meta-learning and optimization algorithms for parameter selection

CEUR Workshop Proceedings

2012 | conference-paper

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

Neurocomputing

2012 | journal-article

Combining meta-learning with multi-objective particle swarm algorithms for svm parameter selection: An experimental analysis

Proceedings - Brazilian Symposium on Neural Networks, SBRN

2012 | conference-paper

Comparing state-of-the-art regression methods for long term travel time prediction

Intelligent Data Analysis

2012 | journal-article

Ensemble approaches for regression: A survey

ACM Computing Surveys

2012 | journal-article

Finding interesting contexts for explaining deviations in bus trip duration using distribution rules

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

Integrating data mining and optimization techniques on surgery scheduling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

Meta-learning for periodic algorithm selection in time-changing data

Proceedings - Brazilian Symposium on Neural Networks, SBRN

2012 | conference-paper

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

Proceedings of the International Joint Conference on Neural Networks

2012 | conference-paper

Multilayer perceptron for label ranking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012 | book

Predicting the accuracy of regression models in the retail industry

CEUR Workshop Proceedings

2012 | conference-paper

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

Hybrid Artificial Intelligent Systems, Part I

2011 | book-chapter

Combining meta-learning and active selection of datasetoids for algorithm selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011 | book

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

Adaptation and Value Creating Collaborative Networks

2011 | book-chapter

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

ADAPTATION AND VALUE CREATING COLLABORATIVE NETWORKS

2011 | conference-paper

Exploiting additional dimensions as virtual items on top-N recommender systems

Proceedings - 2011 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2011

2011 | conference-paper

Mining Association Rules for Label Ranking

ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II: 15TH PACIFIC-ASIA CONFERENCE, PAKDD 2011

2011 | conference-paper

Mining Association Rules for Label Ranking

2011 | other

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

Int. J. Hybrid Intell. Syst.

2011 | journal-article

Uncertainty Sampling Methods for Selecting Datasets in Active Meta-Learning

2011 International Joint Conference on Neural Networks

2011 | book

Uncertainty Sampling Methods for Selecting Datasets in Active Meta-Learning

2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

2011 | conference-paper

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

Artificial Neural Networks and Machine Learning - Icann 2011, Pt Ii

2011 | book-chapter

Uncertainty sampling-based active selection of datasetoids for meta-learning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2011 | book

Using meta-learning to recommend meta-heuristics for the traveling salesman problem

Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011

2011 | conference-paper

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

Discovery Science, Ds 2010

2010 | book-chapter

A comprehensive comparison of ML algorithms for gene expression data classification

2010 International Joint Conference on Neural Networks Ijcnn 2010

2010 | book-chapter

A comprehensive comparison of ML algorithms for gene expression data classification

Proceedings of the International Joint Conference on Neural Networks

2010 | conference-paper

A similarity-based adaptation of naive Bayes for label ranking: Application to the metalearning problem of algorithm recommendation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010 | book

Combining meta-learning and search techniques to SVM parameter selection

Proceedings - 2010 11th Brazilian Symposium on Neural Networks, SBRN 2010

2010 | conference-paper

Data Mining for Business Applications

Frontiers in Artificial Intelligence and Applications

2010 | edited-book

Data mining for business applications: Introduction

Frontiers in Artificial Intelligence and Applications

2010 | book

Empirical evaluation of ranking prediction methods for gene expression data classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2010 | book

Frontiers in Artificial Intelligence and Applications: Preface

Frontiers in Artificial Intelligence and Applications

2010 | book

Inductive Transfer

Encyclopedia of Machine Learning

2010 | book-chapter

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

Leveraging Applications of Formal Methods, Verification, and Validation, Pt I

2010 | book-chapter

Metalearning

Encyclopedia of Machine Learning

2010 | book-chapter

Resource-bounded outlier detection using clustering methods

Frontiers in Artificial Intelligence and Applications

2010 | book

Using meta-learning to classify Traveling Salesman Problems

Proceedings - 2010 11th Brazilian Symposium on Neural Networks, SBRN 2010

2010 | conference-paper

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

Advances in Neuro-Information Processing, Pt Ii

2009 | book-chapter

Bioinspired parameter tuning of mlp networks for gene expression analysis: Quality of fitness estimates vs. number of solutions analysed

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

Cognitive Technologies: Preface

Cognitive Technologies

2009 | book

Detecting Errors in Foreign Trade Transactions: Dealing with Insufficient Data

Progress in Artificial Intelligence, Proceedings

2009 | book-chapter

Detecting errors in foreign trade transactions: Dealing with insufficient data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

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

Machine Learning and Data Mining in Pattern Recognition

2009 | book-chapter

Ensemble learning: A study on different variants of the dynamic selection approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

Meta-Learning

Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes)

2009 | book-chapter

Meta-Learning applications to Data Mining

Springer

2009 | book

Meta-learning approach to gene expression data classification

International Journal of Intelligent Computing and Cybernetics

2009 | journal-article

Metalearning - Applications to Data Mining

Cognitive Technologies

2009 | book

Selection of heuristics for the job-shop scheduling problem based on the prediction of gaps in machines

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

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

Advances in Knowledge Discovery and Data Mining, Proceedings

2009 | book-chapter

The effect of varying parameters and focusing on bus travel time prediction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

UCI plus plus : Improved Support for Algorithm Selection Using Datasetoids

Advances in Knowledge Discovery and Data Mining, Proceedings

2009 | book-chapter

UCI++: Improved support for algorithm selection using datasetoids

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2009 | book

A platform to support web site adaptation and monitoring of its effects: A case study

AAAI Workshop - Technical Report

2008 | conference-paper

Applications of Data Mining in E-Business and Finance

DMBiz@PAKDD

2008 | edited-book

Applications of data mining in E-business finance: Introduction

Frontiers in Artificial Intelligence and Applications

2008 | book

Bio-inspired parameter tunning of MLP networks for gene expression analysis

Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

2008 | conference-paper

Empirical evaluation of ranking trees on some metalearning problems

AAAI Workshop - Technical Report

2008 | conference-paper

Metalearning for gene expression data classification

Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

2008 | conference-paper

Preface

Frontiers in Artificial Intelligence and Applications

2008 | book

The impact of contextual information on the accuracy of existing recommender systems for Web personalization

Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008

2008 | conference-paper

Letter to the editor [2]

Australian and New Zealand Journal of Statistics

2007 | journal-article

Quantitative evaluation of Clusterings for marketing applications: A web portal case study

Progress in Artificial Intelligence, Proceedings

2007 | book-chapter

Quantitative evaluation of clusterings for marketing applications: A web portal case study

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2007 | book

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.'

Australian & New Zealand Journal of Statistics

2007 | journal-article

A web-based system to monitor the quality of meta-data in web portals

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Workshops Proceedings

2006 | book

Data mining for business applications: KDD-2006 workshop

SIGKDD Explorations

2006 | journal-article

Factor analysis to support the visualization and interpretation of clusters of portal users

2006 IEEE/WIC/ACM International Conference on Web Intelligence

2006 | book

Improving SVM-linear predictions using CART for example selection

Foundations of Intelligent Systems, Proceedings

2006 | book-chapter

Improving SVM-linear predictions using CART for example selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2006 | book

Personalization of e-newsletters based on web log analysis and clustering

2006 IEEE/WIC/ACM International Conference on Web Intelligence

2006 | book

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

Proceedings of the ACM Symposium on Applied Computing

2006 | conference-paper

Sequence mining on web access logs: A case study

Belgian/Netherlands Artificial Intelligence Conference

2006 | conference-paper

A Weighted Rank Measure of Correlation

Australian and New Zealand Journal of Statistics

2005 | journal-article

A weighted rank measure of correlation

Australian and New Zealand Journal of Statistics

2005 | journal-article

A weighted rank measure of correlation

Australian & New Zealand Journal of Statistics

2005 | journal-article

Monitoring the quality of meta-data in web portals using statistics, visualization and data mining

Progress in Artificial Intelligence, Proceedings

2005 | book-chapter

Monitoring the quality of meta-data in web portals using statistics, visualization and data mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2005 | book

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

Machine Learning

2004 | journal-article

A meta-learning method to select the kernel width in support vector regression

Machine Learning

2004 | journal-article

Using Meta-Learning to Support Data Mining

IJCSA

2004 | journal-article

Using Meta-Learning to Support Data Mining

International Journal of Computer Science & Applications

2004 | journal-article

Is the UCI repository useful for data mining?

Progress in Artificial Intelligence

2003 | book-chapter

Is the UCI repository useful for data mining?

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2003 | book

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

Machine Learning

2003 | journal-article

Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results

Machine Learning

2003 | journal-article

A comparative study of some issues concerning algorithm recommendation using ranking methods

Advances in Artificial Intelligence - Iberamia 2002, Proceedings

2002 | book-chapter

A comparative study of some issues concerning algorithm recommendation using ranking methods

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

2002 | conference-paper

Improved dataset characterisation for meta-learning

Discovery Science, Proceedings

2002 | book-chapter

Improved dataset characterisation for meta-learning

DISCOVERY SCIENCE, PROCEEDINGS

2002 | journal-article

Reducing rankings of classifiers by eliminating redundant classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2001 | book

Sampling-based relative landmarks: Systematically test-driving algorithms before choosing

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2001 | book

A comparison of ranking methods for classification algorithm selection

Machine Learning: Ecml 2000

2000 | book-chapter

A comparison of ranking methods for classification algorithm selection

MACHINE LEARNING: ECML 2000

2000 | journal-article

Measures to evaluate rankings of classification algorithms

Data Analysis, Classification, and Related Methods

2000 | book-chapter

Measures to evaluate rankings of classification algorithms

DATA ANALYSIS, CLASSIFICATION, AND RELATED METHODS

2000 | conference-paper

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

2000 | other

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

Lecture Notes in Computer Science

2000 | journal-article

Dynamic discretization of continuous attributes

Progress in Artificial Intelligence-Iberamia 98

1998 | book-chapter

Dynamic discretization of continuous attributes

PROGRESS IN ARTIFICIAL INTELLIGENCE-IBERAMIA 98

1998 | journal-article

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

Proceedings of the 8th Workshop on Logic Programming Environments, LPE '97, post-conference workshop at ICLP 1997, Leuven, Belgium, July 11, 1997

1997 | conference-paper

This user account status is Approved