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Alípio Mário Jorge
Alípio Jorge
2010 – today
- 2013
[j10]Marcos Aurélio Domingues, Fabien Gouyon, Alípio Mário Jorge, José Paulo Leal, João Vinagre, Luís Lemos, Mohamed Sordo: Combining usage and content in an online recommendation system for music in the Long Tail. IJMIR 2(1): 3-13 (2013)
[j9]Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares: Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems. Inf. Process. Manage. 49(3): 698-720 (2013)
[c50]Robson Motta, Alneu de Andrade Lopes, Bruno M. Nogueira, Solange Oliveira Rezende, Alípio Mário Jorge, Maria Cristina Ferreira de Oliveira: Comparing relational and non-relational algorithms for clustering propositional data. SAC 2013: 150-155- 2012
[j8]João Mendes-Moreira, Carlos Soares, Alípio Mário Jorge, Jorge Freire de Sousa: Ensemble approaches for regression: A survey. ACM Comput. Surv. 45(1): 10 (2012)
[j7]Alípio Mário Jorge, Paulo J. Azevedo: Optimal leverage association rules with numerical interval conditions. Intell. Data Anal. 16(1): 25-47 (2012)
[j6]João Mendes-Moreira, Alípio Mário Jorge, Jorge Freire de Sousa, Carlos Soares: Comparing state-of-the-art regression methods for long term travel time prediction. Intell. Data Anal. 16(3): 427-449 (2012)
[j5]João Vinagre, Alípio Mário Jorge: Forgetting mechanisms for scalable collaborative filtering. J. Braz. Comp. Soc. 18(4): 271-282 (2012)
[j4]Nuno Filipe Escudeiro, Alípio Mário Jorge: D-Confidence: an active learning strategy to reduce label disclosure complexity in the presence of imbalanced class distributions. J. Braz. Comp. Soc. 18(4): 311-330 (2012)
[c49]Ricardo Campos, Gaël Dias, Alípio Jorge, Celia Nunes: GTE: a distributional second-order co-occurrence approach to improve the identification of top relevant dates in web snippets. CIKM 2012: 2035-2039
[c48]A. Jorge Morais, Eugénio Oliveira, Alípio Mário Jorge: A Multi-Agent Recommender System. DCAI 2012: 281-288
[c47]Bruno M. Nogueira, Alípio Mário Jorge, Solange Oliveira Rezende: HCAC: Semi-supervised Hierarchical Clustering Using Confidence-Based Active Learning. Discovery Science 2012: 139-153
[c46]Alípio Mário Jorge, João Mendes-Moreira, Jorge Freire de Sousa, Carlos Soares, Paulo J. Azevedo: Finding Interesting Contexts for Explaining Deviations in Bus Trip Duration Using Distribution Rules. IDA 2012: 139-149
[c45]Bruno M. Nogueira, Alípio Mário Jorge, Solange Oliveira Rezende: Hierarchical confidence-based active clustering. SAC 2012: 216-219
[c44]Ricardo Campos, Alípio Mário Jorge, Gaël Dias, Celia Nunes: Disambiguating Implicit Temporal Queries by Clustering Top Relevant Dates in Web Snippets. Web Intelligence 2012: 1-8
[c43]Ricardo Campos, Gaël Dias, Alípio Mário Jorge, Celia Nunes: Enriching temporal query understanding through date identification: how to tag implicit temporal queries? TempWeb 2012: 41-48
[c42]Marcos Aurélio Domingues, Fabien Gouyon, Alípio Mário Jorge, José Paulo Leal, João Vinagre, Luís Lemos, Mohamed Sordo: Combining usage and content in an online music recommendation system for music in the long-tail. WWW (Companion Volume) 2012: 925-930- 2011
[c41]Ricardo Campos, Gaël Dias, Alípio Jorge: An Exploratory Study on the Impact of Temporal Features on the Classification and Clustering of Future-Related Web Documents. EPIA 2011: 581-596
[c40]Cláudio Rebelo de Sá, Carlos Soares, Alípio Mário Jorge, Paulo J. Azevedo, Joaquim Pinto da Costa: Mining Association Rules for Label Ranking. PAKDD (2) 2011: 432-443
[c39]Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares: Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems. Web Intelligence 2011: 92-95
[c38]Ricardo Campos, Gaël Dias, Alípio Mário Jorge: What is the Temporal Value of Web Snippets? TWAW 2011: 9-16
[i1]Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares: Using Contextual Information as Virtual Items on Top-N Recommender Systems. CoRR abs/1111.2948 (2011)- 2010
[j3]Paulo J. Azevedo, Alípio Mário Jorge: Ensembles of jittered association rule classifiers. Data Min. Knowl. Discov. 21(1): 91-129 (2010)
2000 – 2009
- 2009
[c37]Rui Almeida, Luís Paulo Reis, Alípio Mário Jorge: Analysis and Forecast of Team Formation in the Simulated Robotic Soccer Domain. EPIA 2009: 239-250
[c36]Nuno Filipe Escudeiro, Alípio Mário Jorge: Efficient Coverage of Case Space with Active Learning. EPIA 2009: 411-422
[c35]Catarina Miranda, Alípio Mário Jorge: Item-Based and User-Based Incremental Collaborative Filtering for Web Recommendations. EPIA 2009: 673-684
[c34]Ricardo Campos, Gaël Dias, Alípio Mário Jorge: Disambiguating Web Search Results by Topic and Temporal Clustering - A Proposal. KDIR 2009: 292-296
[c33]João Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa: Ensemble Learning: A Study on Different Variants of the Dynamic Selection Approach. MLDM 2009: 191-205
[c32]João Mendes-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
[e4]João Gama, Vítor Santos Costa, Alípio Mário Jorge, Pavel Brazdil (Eds.): Discovery Science, 12th International Conference, DS 2009, Porto, Portugal, October 3-5, 2009. Lecture Notes in Computer Science 5808, Springer 2009, ISBN 978-3-642-04746-6- 2008
[c31]Elisabeth Fernandes, Alípio Mário Jorge, Cândida G. Silva, Rui M. M. Brito: A Knowledge Discovery Method for the Characterization of Protein Unfolding Processes. IWPACBB 2008: 180-188
[c30]Catarina Miranda, Alípio Mário Jorge: Incremental Collaborative Filtering for Binary Ratings. Web Intelligence 2008: 389-392
[c29]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
[p1]Alípio Jorge, João Poças, Paulo J. Azevedo: A Methodology for Exploring Association Models. Visual Data Mining 2008: 46-59- 2007
[c28]Paulo J. Azevedo, Alípio Mário Jorge: Iterative Reordering of Rules for Building Ensembles Without Relearning. Discovery Science 2007: 56-67
[c27]Paulo J. Azevedo, Alípio Mário Jorge: Comparing Rule Measures for Predictive Association Rules. ECML 2007: 510-517
[c26]Joel P. Lucas, Alípio Mário Jorge, Fernando Pereira, Ana M. Pernas, Amauri A. Machado: A Tool for Interactive Subgroup Discovery Using Distribution Rules. EPIA Workshops 2007: 426-436
[c25]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
[j2]Ana Costa e Silva, Alípio Mário Jorge, Luís Torgo: Design of an end-to-end method to extract information from tables. IJDAR 8(2-3): 144-171 (2006)
[c24]Alípio Mário Jorge, Fernando Pereira, Paulo J. Azevedo: Visual Interactive Subgroup Discovery with Numerical Properties of Interest. Discovery Science 2006: 301-305
[c23]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
[c22]João Mendes-Moreira, Alípio Mário Jorge, Carlos Soares, Jorge Freire de Sousa: Improving SVM-Linear Predictions Using CART for Example Selection. ISMIS 2006: 632-641
[c21]Alípio Mário Jorge, Paulo J. Azevedo, Fernando Pereira: Distribution Rules with Numeric Attributes of Interest. PKDD 2006: 247-258
[c20]Carla Carvalho, Alípio Mário Jorge, Carlos Soares: Personalization of E-newsletters Based on Web Log Analysis and Clustering. Web Intelligence 2006: 724-727
[c19]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- 2005
[c18]Alípio Jorge, Paulo J. Azevedo: An Experiment with Association Rules and Classification: Post-Bagging and Conviction. Discovery Science 2005: 137-149
[c17]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
[c16]Nuno Filipe Escudeiro, Alípio Mário Jorge: Semi-automatic Creation and Maintenance of Web Resources with webTopic. EWMF/KDO 2005: 82-102
[e3]João Gama, Rui Camacho, Pavel Brazdil, Alípio Jorge, Luís Torgo (Eds.): Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings. Lecture Notes in Computer Science 3720, Springer 2005, ISBN 3-540-29243-8
[e2]Alípio Jorge, Luís Torgo, Pavel Brazdil, Rui Camacho, João Gama (Eds.): Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings. Lecture Notes in Computer Science 3721, Springer 2005, ISBN 3-540-29244-6- 2004
[c15]
[c14]Miguel Veloso, Alípio Jorge, Paulo J. Azevedo: Model-Based Collaborative Filtering for Team Building Support. ICEIS (2) 2004: 241-248
[c13]Alípio Jorge: Hierarchical Clustering for Thematic Browsing and Summarization of Large Sets of Association Rules. SDM 2004- 2003
[c12]Mário Amado Alves, Alípio Jorge, Matthew Heaney: The Use of Ada, GNAT.Spitbol, and XML in the Sol-Eu-Net Project. Ada-Europe 2003: 196-207
[c11]Ana Costa e Silva, Alípio Jorge, Luís Torgo: Automatic Selection of Table Areas in Documents for Information Extraction. EPIA 2003: 460-465
[c10]Dietrich Wettschereck, Alípio Jorge, Steve Moyle: Visualization and Evaluation Support of Knowledge Discovery through the Predictive Model Markup Language. KES 2003: 493-501- 2002
[c9]Alípio Jorge, João Poças, Paulo J. Azevedo: Post-processing Operators for Browsing Large Sets of Association Rules. Discovery Science 2002: 414-421
[c8]- 2001
[c7]Angi Voß, Gernot Richter, Steve Moyle, Alípio Jorge: Collaboration Support for Virtual Data Mining Enterprises. LSO 2001: 83-95
[e1]Pavel Brazdil, Alípio Jorge (Eds.): Progress in Artificial Intelligence, Knowledge Extraction, Multi-agent Systems, Logic Programming and Constraint Solving, 10th Portuguese Conference on Artificial Intelligence, EPIA 2001, Porto, Portugal, December 17-20, 2001, Proceedings. Lecture Notes in Computer Science 2258, Springer 2001, ISBN 3-540-43030-X- 2000
[c6]Alneu de Andrade Lopes, Alípio Jorge: Combining Rule-Based and Case-Based Learning for Iterative Part-of-Speech Tagging. EWCBR 2000: 26-36
[c5]Alneu de Andrade Lopes, Alípio Jorge: Integrating Rules and Cases in Learning via Case Explanation and Paradigm Shift. IBERAMIA-SBIA 2000: 33-42
1990 – 1999
- 1999
[j1]Alípio Jorge: Iterative Induction of Logic Programs, An approach to logic program synthesis from incomplete specifications. AI Commun. 12(3): 173-174 (1999)
[c4]Alípio Jorge, Alneu de Andrade Lopes: Iterative Part-of-Speech Tagging. Learning Language in Logic 1999: 170-183- 1996
[c3]Alípio Jorge, Pavel Brazdil: Integrity Constraints in ILP Using a Monte Carlo Approach. Inductive Logic Programming Workshop 1996: 229-244- 1995
[c2]Alípio Jorge, Pavel Brazdil: Learning Recursion with Iterative Bootstrap Induction (Extended Abstract). ECML 1995: 299-302- 1994
[c1]
Coauthor Index
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last updated on 2013-06-13 23:02 CEST by the dblp team



