2009 |
23 | EE | Carlos Soares:
UCI++: Improved Support for Algorithm Selection Using Datasetoids.
PAKDD 2009: 499-506 |
22 | EE | João M. Moreira,
Carlos Soares,
Alípio Mário Jorge,
Jorge Freire de Sousa:
The Effect of Varying Parameters and Focusing on Bus Travel Time Prediction.
PAKDD 2009: 689-696 |
2008 |
21 | EE | Marcos Aurélio Domingues,
Alípio Mário Jorge,
Carlos Soares:
The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization.
Web Intelligence 2008: 789-792 |
2007 |
20 | EE | Carmen Rebelo,
Pedro Quelhas Brito,
Carlos Soares,
Alípio Mário Jorge,
Rui Brandão:
Quantitative Evaluation of Clusterings for Marketing Applications: A Web Portal Case Study.
EPIA Workshops 2007: 437-448 |
2006 |
19 | EE | Marcos Aurélio Domingues,
Carlos Soares,
Alípio Mário Jorge:
A Web-Based System to Monitor the Quality of Meta-Data in Web Portals.
IAT Workshops 2006: 188-191 |
18 | EE | João M. Moreira,
Alípio Mário Jorge,
Carlos Soares,
Jorge Freire de Sousa:
Improving SVM-Linear Predictions Using CART for Example Selection.
ISMIS 2006: 632-641 |
17 | EE | Carlos Soares,
Pavel Brazdil:
Selecting parameters of SVM using meta-learning and kernel matrix-based meta-features.
SAC 2006: 564-568 |
16 | EE | Carla Carvalho,
Alípio Mário Jorge,
Carlos Soares:
Personalization of E-newsletters Based on Web Log Analysis and Clustering.
Web Intelligence 2006: 724-727 |
15 | EE | Carmen Rebelo,
Pedro Quelhas Brito,
Carlos Soares,
Alípio Mário Jorge:
Factor Analysis to Support the Visualization and Interpretation of Clusters of Portal Users.
Web Intelligence 2006: 987-990 |
14 | EE | Rayid Ghani,
Carlos Soares:
Data mining for business applications: KDD-2006 workshop.
SIGKDD Explorations 8(2): 79-81 (2006) |
2005 |
13 | EE | Carlos Soares,
Alípio Mário Jorge,
Marcos Aurélio Domingues:
Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining.
EPIA 2005: 371-382 |
2004 |
12 | EE | Ricardo Vilalta,
Christophe G. Giraud-Carrier,
Pavel Brazdil,
Carlos Soares:
Using Meta-Learning to Support Data Mining.
IJCSA 1(1): 31-45 (2004) |
11 | EE | Carlos Soares,
Pavel Brazdil,
Petr Kuba:
A Meta-Learning Method to Select the Kernel Width in Support Vector Regression.
Machine Learning 54(3): 195-209 (2004) |
2003 |
10 | EE | Carlos Soares:
Is the UCI Repository Useful for Data Mining?
EPIA 2003: 209-223 |
9 | | Pavel Brazdil,
Carlos Soares,
Joaquim Pinto da Costa:
Ranking Learning Algorithms: Using IBL and Meta-Learning on Accuracy and Time Results.
Machine Learning 50(3): 251-277 (2003) |
2002 |
8 | EE | Yonghong Peng,
Peter A. Flach,
Carlos Soares,
Pavel Brazdil:
Improved Dataset Characterisation for Meta-learning.
Discovery Science 2002: 141-152 |
7 | EE | Carlos Soares,
Pavel Brazdil:
A Comparative Study of Some Issues Concerning Algorithm Recommendation Using Ranking Methods.
IBERAMIA 2002: 80-89 |
2001 |
6 | EE | Pavel Brazdil,
Carlos Soares,
Rui Pereira:
Reducing Rankings of Classifiers by Eliminating Redundant Classifiers.
EPIA 2001: 14-21 |
5 | EE | Carlos Soares,
Johann Petrak,
Pavel Brazdil:
Sampling-Based Relative Landmarks: Systematically Test-Driving Algorithms Before Choosing.
EPIA 2001: 88-95 |
2000 |
4 | EE | Pavel Brazdil,
Carlos Soares:
A Comparison of Ranking Methods for Classification Algorithm Selection.
ECML 2000: 63-74 |
3 | EE | Carlos Soares,
Pavel Brazdil:
Zoomed Ranking: Selection of Classification Algorithms Based on Relevant Performance Information.
PKDD 2000: 126-135 |
1998 |
2 | EE | João Gama,
Luís Torgo,
Carlos Soares:
Dynamic Discretization of Continuous Attributes.
IBERAMIA 1998: 160-169 |
1997 |
1 | | Carlos Soares,
Miguel Calejo:
From Graphical Objects to Terms and Back: an Extended Application Framework for Prolog.
LPE 1997: 60-69 |