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.ptOrcid
0000-0003-4549-8917Researcher ID
FCT Public Key
Ciência ID
B114-1EE5-E938Google Scholar
Publications (264)
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




