Carlos Soares
Orcid: 0000-0003-4549-8917
According to our database1,
Carlos Soares
authored at least 204 papers
between 1997 and 2024.
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Bibliography
2024
Corrector LSTM: built-in training data correction for improved time-series forecasting.
Neural Comput. Appl., September, 2024
Screen-level bureaucrats in the age of algorithms: An ethnographic study of algorithmically supported public service workers in the Netherlands Police.
Inf. Polity, 2024
IEEE Internet Comput., 2024
Finding Patterns in Ambiguity: Interpretable Stress Testing in the Decision Boundary.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Association of Grad-CAM, LIME and Multidimensional Fractal Techniques for the Classification of H&E Images.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024
Proceedings of the Rules and Reasoning, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Proceedings of the Foundations of Intelligent Systems - 27th International Symposium, 2024
Proceedings of the Advances in Intelligent Data Analysis XXII, 2024
Proceedings of the Progress in Artificial Intelligence, 2024
Proceedings of the Progress in Artificial Intelligence, 2024
Lag Selection for Univariate Time Series Forecasting Using Deep Learning: An Empirical Study.
Proceedings of the Progress in Artificial Intelligence, 2024
Proceedings of the Progress in Artificial Intelligence, 2024
Proceedings of the Progress in Artificial Intelligence, 2024
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation.
Proceedings of the 2nd Workshop on Fairness and Bias in AI co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024
2023
Model Selection for Time Series Forecasting An Empirical Analysis of Multiple Estimators.
Neural Process. Lett., December, 2023
Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes.
Mach. Learn., November, 2023
tsMorph: generation of semi-synthetic time series to understand algorithm performance.
CoRR, 2023
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023
Machine Learning Data Markets: Evaluating the Impact of Data Exchange on the Agent Learning Performance.
Proceedings of the Progress in Artificial Intelligence, 2023
Proceedings of the Discovery Science - 26th International Conference, 2023
Detection of Covid-19 in Chest X-Ray Images Using Percolation Features and Hermite Polynomial Classification.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023
2022
A case study comparing machine learning with statistical methods for time series forecasting: size matters.
J. Intell. Inf. Syst., 2022
Artif. Intell. Rev., 2022
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022
Proceedings of the Advances in Intelligent Data Analysis XX, 2022
Proceedings of the ECML/PKDD Workshop on Meta-Knowledge Transfer, 2022
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
2021
Expert Syst. J. Knowl. Eng., 2021
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators.
CoRR, 2021
u-cf2vec: Representation Learning for Personalized Algorithm Selection in Recommender Systems.
CoRR, 2021
Empirical Study on the Impact of Different Sets of Parameters of Gradient Boosting Algorithms for Time-Series Forecasting with LightGBM.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
Proceedings of the IEEE International Conference on Data Mining, 2021
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
2020
An empirical analysis of binary transformation strategies and base algorithms for multi-label learning.
Mach. Learn., 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020
$\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020
Fraunhofer AICOS at CLEF eHealth 2020 Task 1: Clinical Code Extraction From Textual Data Using Fine-Tuned BERT Models.
Proceedings of the Working Notes of CLEF 2020, 2020
Proceedings of the 17th IEEE/ACS International Conference on Computer Systems and Applications, 2020
2019
Data mining based framework to assess solution quality for the rectangular 2D strip-packing problem.
Expert Syst. Appl., 2019
CoRR, 2019
Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
Proceedings of the Discovery Science - 22nd International Conference, 2019
2018
Mach. Learn., 2018
Metalearning and Recommender Systems: A literature review and empirical study on the algorithm selection problem for Collaborative Filtering.
Inf. Sci., 2018
Inf. Fusion, 2018
Expert Syst. J. Knowl. Eng., 2018
cf2vec: Collaborative Filtering algorithm selection using graph distributed representations.
CoRR, 2018
Algorithm Selection for Collaborative Filtering: the influence of graph metafeatures and multicriteria metatargets.
CoRR, 2018
Building robust prediction models for defective sensor data using Artificial Neural Networks.
CoRR, 2018
Proceedings of the Information Management and Big Data, 5th International Conference, 2018
A label ranking approach for selecting rankings of collaborative filtering algorithms.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
CF4CF: recommending collaborative filtering algorithms using collaborative filtering.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the ECML PKDD 2018 Workshops, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Proceedings of the Discovery Science - 21st International Conference, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
New Gener. Comput., 2017
Intell. Data Anal., 2017
Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), 2017
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017
FEUP at SemEval-2017 Task 5: Predicting Sentiment Polarity and Intensity with Financial Word Embeddings.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017
Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Proceedings of the International Workshop on Automatic Selection, 2017
Proceedings of the International Workshop on Automatic Selection, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Learning Word Embeddings from the Portuguese Twitter Stream: A Study of Some Practical Aspects.
Proceedings of the Progress in Artificial Intelligence, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
2016
Active learning and data manipulation techniques for generating training examples in meta-learning.
Neurocomputing, 2016
Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: A comparison of meta-features.
Neurocomputing, 2016
Proceedings of the New Advances in Information Systems and Technologies, 2016
Proceedings of the New Advances in Information Systems and Technologies, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the Collaboration in a Hyperconnected World, 2016
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016
Proceedings of the Advances in Intelligent Data Analysis XV - 15th International Symposium, 2016
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016
Proceedings of the Advances in Information Retrieval, 2016
Proceedings of the Discovery Science - 19th International Conference, 2016
Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering, 2016
2015
Improving the accuracy of long-term travel time prediction using heterogeneous ensembles.
Neurocomputing, 2015
Combining regression models and metaheuristics to optimize space allocation in the retail industry.
Intell. Data Anal., 2015
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015
Proceedings of the IEEE First International Smart Cities Conference, 2015
Metalearning to choose the level of analysis in nested data: A case study on error detection in foreign trade statistics.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Using Metalearning for Prediction of Taxi Trip Duration Using Different Granularity Levels.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015
Proceedings of the Progress in Artificial Intelligence, 2015
A Comparative Study of Regression and Classification Algorithms for Modelling Students' Academic Performance.
Proceedings of the 8th International Conference on Educational Data Mining, 2015
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015
2014
MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data.
Neurocomputing, 2014
A hybrid meta-learning architecture for multi-objective optimization of SVM parameters.
Neurocomputing, 2014
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014
Proceedings of the 2014 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, June 30, 2014
Proceedings of the International Workshop on Meta-learning and Algorithm Selection co-located with 21st European Conference on Artificial Intelligence, 2014
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014
2013
Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals.
Inf. Syst. E Bus. Manag., 2013
Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems.
Inf. Process. Manag., 2013
Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Discovery Science - 16th International Conference, 2013
Proceedings of the Working Notes for CLEF 2013 Conference , 2013
2012
Combining meta-learning and search techniques to select parameters for support vector machines.
Neurocomputing, 2012
Intell. Data Anal., 2012
Combining a multi-objective optimization approach with meta-learning for SVM parameter selection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Combining Meta-Learning with Multi-objective Particle Swarm Algorithms for SVM Parameter Selection: An Experimental Analysis.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012
A Meta-Learning Approach to Select Meta-Heuristics for the Traveling Salesman Problem Using MLP-Based Label Ranking.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
An Experimental Study of the Combination of Meta-Learning with Particle Swarm Algorithms for SVM Parameter Selection.
Proceedings of the Computational Science and Its Applications - ICCSA 2012, 2012
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012
2011
Int. J. Hybrid Intell. Syst., 2011
CoRR, 2011
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Customer-Oriented and Eco-friendly Networks for Health Fashionable Goods - The CoReNet Approach.
Proceedings of the Adaptation and Value Creating Collaborative Networks, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
2010
Proceedings of the Data Mining for Business Applications, 2010
Proceedings of the Data Mining for Business Applications, 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Proceedings of the 11th Brazilian Symposium on Neural Networks (SBRN 2010), 2010
Intelligent Document Routing as a First Step towards Workflow Automation: A Case Study Implemented in SQL.
Proceedings of the Leveraging Applications of Formal Methods, Verification, and Validation, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Empirical Evaluation of Ranking Prediction Methods for Gene Expression Data Classification.
Proceedings of the Advances in Artificial Intelligence, 2010
A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation.
Proceedings of the Discovery Science - 13th International Conference, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Int. J. Intell. Comput. Cybern., 2009
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009
Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009
Proceedings of the Progress in Artificial Intelligence, 2009
Cognitive Technologies, Springer, ISBN: 978-3-540-73262-4, 2009
2008
The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008
Bioinspired Parameter Tuning of MLP Networks for Gene Expression Analysis: Quality of Fitness Estimates vs. Number of Solutions Analysed.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
2007
Proceedings of the Applications of Data Mining in E-Business and Finance, 2007
Quantitative Evaluation of Clusterings for Marketing Applications: A Web Portal Case Study.
Proceedings of the Progress in Artificial Intelligence, 2007
2006
Factor Analysis to Support the Visualization and Interpretation of Clusters of Portal Users.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006
Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006
2005
Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining.
Proceedings of the Progress in Artificial Intelligence, 2005
2004
Mach. Learn., 2004
2003
Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results.
Mach. Learn., 2003
Proceedings of the Progress in Artificial Intelligence, 2003
2002
A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods.
Proceedings of the Advances in Artificial Intelligence, 2002
Proceedings of the Discovery Science, 5th International Conference, 2002
2001
Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing.
Proceedings of the Progress in Artificial Intelligence, 2001
Proceedings of the Progress in Artificial Intelligence, 2001
2000
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000
1998
Proceedings of the Progress in Artificial Intelligence, 1998
1997
From Graphical Objects to Terms and Back: an Extended Application Framework for Prolog.
Proceedings of the 8th Workshop on Logic Programming Environments, 1997