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María J. Martín-Bautista
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- affiliation: University of Granada, Department of Computer Science and Artificial Intelligence
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2020 – today
- 2024
- [j45]Roberto Morcillo-Jiménez, Jesús Mesa, Juan Gómez-Romero, Maria-Amparo Vila, María J. Martín-Bautista:
Deep learning for prediction of energy consumption: an applied use case in an office building. Appl. Intell. 54(7): 5813-5825 (2024) - [j44]Carlos Fernandez-Basso, M. Dolores Ruiz, María J. Martín-Bautista:
New Spark solutions for distributed frequent itemset and association rule mining algorithms. Clust. Comput. 27(2): 1217-1234 (2024) - [j43]Andrea Morales-Garzón, Karel Gutiérrez-Batista, María J. Martín-Bautista:
Link prediction in food heterogeneous graphs for personalised recipe recommendation based on user interactions and dietary restrictions. Computing 106(7): 2133-2155 (2024) - [j42]Jose Angel Diaz-Garcia, Karel Gutiérrez-Batista, Carlos Fernandez-Basso, M. Dolores Ruiz, María J. Martín-Bautista:
A Flexible Big Data System for Credibility-Based Filtering of Social Media Information According to Expertise. Int. J. Comput. Intell. Syst. 17(1): 93 (2024) - 2023
- [j41]Bartolomé Ortiz Viso, Andrea Morales-Garzón, María J. Martín-Bautista, Maria-Amparo Vila:
Evolutionary Approach for Building, Exploring and Recommending Complex Items With Application in Nutritional Interventions. IEEE Access 11: 65891-65905 (2023) - [j40]Jose Angel Diaz-Garcia, M. Dolores Ruiz, María J. Martín-Bautista:
A survey on the use of association rules mining techniques in textual social media. Artif. Intell. Rev. 56(2): 1175-1200 (2023) - [j39]Alberto S. Ortega-Calvo, Roberto Morcillo-Jiménez, Carlos Fernandez-Basso, Karel Gutiérrez-Batista, María Amparo Vila Miranda, María J. Martín-Bautista:
AIMDP: An Artificial Intelligence Modern Data Platform. Use case for Spanish national health service data silo. Future Gener. Comput. Syst. 143: 248-264 (2023) - [c59]Andrea Morales-Garzón, Gracia M. Sánchez-Pérez, Juan Carlos Sierra, María J. Martín-Bautista:
The Promise of Query Answering Systems in Sexuality Studies: Current State, Challenges and Limitations. FQAS 2023: 39-49 - [c58]Andrea Morales-Garzón, Roberto Morcillo-Jiménez, Karel Gutiérrez-Batista, María J. Martín-Bautista:
How Tasty Is This Dish? Studying User-Recipe Interactions with a Rating Prediction Algorithm and Graph Neural Networks. FQAS 2023: 107-117 - [c57]Bartolomé Ortiz Viso, María J. Martín-Bautista:
"Let It BEE": Natural Language Classification of Arthropod Specimens Based on Their Spanish Description. FQAS 2023: 118-128 - [c56]Salvador Lopez-Joya, Jose Angel Diaz-Garcia, M. Dolores Ruiz, María J. Martín-Bautista:
Bot Detection in Twitter: An Overview. FQAS 2023: 131-144 - [c55]Juan Paños-Basterra, M. Dolores Ruiz, María J. Martín-Bautista:
Federated Learning in Healthcare with Unsupervised and Semi-Supervised Methods. FQAS 2023: 182-193 - [c54]Bartolomé Ortiz Viso, Carlos Fernandez-Basso, Jesica Gómez-Sánchez, María J. Martín-Bautista:
"Health Is the Real Wealth": Unsupervised Approach to Improve Explainability in Health-Based Recommendation Systems. FQAS 2023: 234-246 - [e2]Henrik Legind Larsen, María J. Martín-Bautista, M. Dolores Ruiz, Troels Andreasen, Gloria Bordogna, Guy De Tré:
Flexible Query Answering Systems - 15th International Conference, FQAS 2023, Mallorca, Spain, September 5-7, 2023, Proceedings. Lecture Notes in Computer Science 14113, Springer 2023, ISBN 978-3-031-42934-7 [contents] - 2022
- [j38]Carlos Fernandez-Basso, Karel Gutiérrez-Batista, Roberto Morcillo-Jiménez, María Amparo Vila Miranda, María J. Martín-Bautista:
A fuzzy-based medical system for pattern mining in a distributed environment: Application to diagnostic and co-morbidity. Appl. Soft Comput. 122: 108870 (2022) - [j37]Jose Angel Diaz-Garcia, M. Dolores Ruiz, María J. Martín-Bautista:
NOFACE: A new framework for irrelevant content filtering in social media according to credibility and expertise. Expert Syst. Appl. 208: 118063 (2022) - [j36]M. Dolores Ruiz, Juan Gómez-Romero, Carlos Fernandez-Basso, María J. Martín-Bautista:
Big Data Architecture for Building Energy Management Systems. IEEE Trans. Ind. Informatics 18(9): 5738-5747 (2022) - [c53]Jose Angel Diaz-Garcia, Carlos Fernandez-Basso, Karel Gutiérrez-Batista, M. Dolores Ruiz, María J. Martín-Bautista:
Improving Text Clustering Using a New Technique for Selecting Trustworthy Content in Social Networks. IPMU (2) 2022: 275-287 - [c52]Andrea Morales-Garzón, Juan Gómez-Romero, María J. Martín-Bautista:
Contextual Sentence Embeddings for Obtaining Food Recipe Versions. IPMU (2) 2022: 306-316 - [c51]Jose Angel Diaz-Garcia, Carlos Fernandez-Basso, Jesica Gómez-Sánchez, Karel Gutiérrez-Batista, M. Dolores Ruiz, María J. Martín-Bautista:
A Fuzzy-Based Approach for Cyberbullying Analysis. IPMU (2) 2022: 317-328 - 2021
- [j35]Andrea Morales-Garzón, Juan Gómez-Romero, María J. Martín-Bautista:
A Word Embedding-Based Method for Unsupervised Adaptation of Cooking Recipes. IEEE Access 9: 27389-27404 (2021) - [j34]Karel Gutiérrez-Batista, Maria-Amparo Vila, María J. Martín-Bautista:
Building a fuzzy sentiment dimension for multidimensional analysis in social networks. Appl. Soft Comput. 108: 107390 (2021) - [j33]Carlos Fernandez-Basso, M. Dolores Ruiz, María José Martín Bautista:
Spark solutions for discovering fuzzy association rules in Big Data. Int. J. Approx. Reason. 137: 94-112 (2021) - [c50]Andrea Morales-Garzón, Juan Gómez-Romero, María J. Martín-Bautista:
Semantic-aware transformation of short texts using word embeddings: An application in the Food Computing domain. EACL (Student Research Workshop) 2021: 148-154 - [c49]Jose Angel Diaz-Garcia, M. Dolores Ruiz, María J. Martín-Bautista:
A Comparative Study of Word Embeddings for the Construction of a Social Media Expert Filter. FQAS 2021: 196-208 - 2020
- [j32]Jose Angel Diaz-Garcia, M. Dolores Ruiz, María J. Martín-Bautista:
Non-Query-Based Pattern Mining and Sentiment Analysis for Massive Microblogging Online Texts. IEEE Access 8: 78166-78182 (2020) - [j31]Carlos Fernandez-Basso, M. Dolores Ruiz, María J. Martín-Bautista:
A Fuzzy Mining Approach for Energy Efficiency in a Big Data Framework. IEEE Trans. Fuzzy Syst. 28(11): 2747-2758 (2020) - [c48]Andrea Morales-Garzón, Juan Gómez-Romero, María J. Martín-Bautista:
A Word Embedding Model for Mapping Food Composition Databases Using Fuzzy Logic. IPMU (2) 2020: 635-647 - [c47]Jose Angel Diaz-Garcia, Carlos Fernandez-Basso, M. Dolores Ruiz, María J. Martín-Bautista:
Mining Text Patterns over Fake and Real Tweets. IPMU (2) 2020: 648-660
2010 – 2019
- 2019
- [j30]Juan Gómez-Romero, Carlos Fernandez-Basso, M. Victoria Cambronero, Miguel Molina-Solana, Jesús R. Campaña, M. Dolores Ruiz, María J. Martín-Bautista:
A Probabilistic Algorithm for Predictive Control With Full-Complexity Models in Non-Residential Buildings. IEEE Access 7: 38748-38765 (2019) - [j29]Carlos Fernandez-Basso, Abel J. Francisco-Agra, María J. Martín-Bautista, M. Dolores Ruiz:
Finding tendencies in streaming data using Big Data frequent itemset mining. Knowl. Based Syst. 163: 666-674 (2019) - [c46]Carlos Fernandez-Basso, M. Dolores Ruiz, Miguel Delgado, María J. Martín-Bautista:
A comparative analysis of tools for visualizing association rules: A proposal for visualising fuzzy association rules. EUSFLAT Conf. 2019 - [c45]Karel Gutiérrez-Batista, Jesús R. Campaña, María Amparo Vila Miranda, María J. Martín-Bautista:
Using Word Embeddings and Deep Learning for Supervised Topic Detection in Social Networks. FQAS 2019: 155-165 - [c44]Jose Angel Diaz-Garcia, M. Dolores Ruiz, María J. Martín-Bautista:
Generalized Association Rules for Sentiment Analysis in Twitter. FQAS 2019: 166-175 - [c43]Richard de Jesús Gil-Herrera, María Irma Botero-Ospina, Lidia Bocanegra-Barbecho, María J. Martín-Bautista:
Building a Knowledge-Model about Land Restitution Policy in Colombian-case Applying a Systemic Ontological Methodology. JOWO 2019 - 2018
- [j28]Karel Gutiérrez-Batista, Jesús R. Campaña, María Amparo Vila Miranda, María J. Martín-Bautista:
Building a contextual dimension for OLAP using textual data from social networks. Expert Syst. Appl. 93: 118-133 (2018) - [j27]Karel Gutiérrez-Batista, Jesús R. Campaña, María Amparo Vila Miranda, María J. Martín-Bautista:
An ontology-based framework for automatic topic detection in multilingual environments. Int. J. Intell. Syst. 33(7): 1459-1475 (2018) - [j26]Consuelo Justicia de la Torre, Daniel Sánchez, Ignacio J. Blanco, María J. Martín-Bautista:
Text Mining: Techniques, Applications, and Challenges. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(4): 553-582 (2018) - [c42]Karel Gutiérrez-Batista, Jesús R. Campaña, María Amparo Vila Miranda, María J. Martín-Bautista:
Fuzzy Analysis of Sentiment Terms for Topic Detection Process in Social Networks. IPMU (2) 2018: 3-14 - [c41]Carlos Fernandez-Basso, M. Dolores Ruiz, María J. Martín-Bautista:
Fuzzy Association Rules Mining Using Spark. IPMU (2) 2018: 15-25 - 2017
- [j25]M. Dolores Ruiz, Juan Gómez-Romero, Miguel Molina-Solana, María Ros, María J. Martín-Bautista:
Information fusion from multiple databases using meta-association rules. Int. J. Approx. Reason. 80: 185-198 (2017) - 2016
- [j24]M. Dolores Ruiz, Juan Gómez-Romero, Miguel Molina-Solana, Jesús R. Campaña, María J. Martín-Bautista:
Meta-association rules for mining interesting associations in multiple datasets. Appl. Soft Comput. 49: 212-223 (2016) - [j23]Irene Diaz-Valenzuela, Vincenzo Loia, María J. Martín-Bautista, Sabrina Senatore, Maria-Amparo Vila:
Automatic constraints generation for semisupervised clustering: experiences with documents classification. Soft Comput. 20(6): 2329-2339 (2016) - [j22]M. Dolores Ruiz, Daniel Sánchez, Miguel Delgado, María J. Martín-Bautista:
Discovering Fuzzy Exception and Anomalous Rules. IEEE Trans. Fuzzy Syst. 24(4): 930-944 (2016) - [j21]Irene Diaz-Valenzuela, Maria-Amparo Vila, María J. Martín-Bautista:
On the Use of Fuzzy Constraints in Semisupervised Clustering. IEEE Trans. Fuzzy Syst. 24(4): 992-999 (2016) - [c40]Juan Gómez-Romero, M. Dolores Ruiz, María J. Martín-Bautista:
Open data analysis for environmental scanning in security-oriented strategic analysis. FUSION 2016: 91-97 - 2015
- [j20]Richard de Jesús Gil-Herrera, María José Martín Bautista:
A novel process-based KMS success framework empowered by ontology learning technology. Eng. Appl. Artif. Intell. 45: 295-312 (2015) - [j19]María J. Martín-Bautista, Sandro Martínez-Folgoso, Maria-Amparo Vila:
A New Approach for Representing and Querying Textual Attributes in Databases. Int. J. Intell. Syst. 30(9): 1021-1045 (2015) - [c39]María Ros, Miguel Molina-Solana, María José Martín Bautista, Miguel Delgado, Maria-Amparo Vila:
Learning User Activities from Energy Demand Profiles. IFSA-EUSFLAT 2015 - [c38]M. Dolores Ruiz, Juan Gómez-Romero, María José Martín Bautista, Maria-Amparo Vila, Miguel Delgado:
Fuzzy Meta-Association Rules. IFSA-EUSFLAT 2015 - [c37]Irene Diaz-Valenzuela, Jesús R. Campaña, Sabrina Senatore, Vincenzo Loia, Maria-Amparo Vila, María J. Martín-Bautista:
Study of the Convergence in Automatic Generation of Instance Level Constraints. FQAS 2015: 139-150 - [c36]M. Dolores Ruiz, Juan Gómez-Romero, María J. Martín-Bautista, Daniel Sánchez, Miguel Delgado:
Fuzzy meta-association rules for information fusion. FUSION 2015: 800-807 - 2014
- [j18]Luís Ramos, Richard Gil, Dimitra Anastasiou, María J. Martín-Bautista:
Towards a Machine of a Process (MOP) ontology to facilitate e-commerce of industrial machinery. Comput. Ind. 65(1): 108-115 (2014) - [j17]M. Dolores Ruiz, María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda, Miguel Delgado:
Anomaly detection using fuzzy association rules. Int. J. Electron. Secur. Digit. Forensics 6(1): 25-37 (2014) - [j16]Richard Gil, María J. Martín-Bautista:
SMOL: a systemic methodology for ontology learning from heterogeneous sources. J. Intell. Inf. Syst. 42(3): 415-455 (2014) - [c35]M. Dolores Ruiz, Juan Gómez-Romero, María J. Martín-Bautista, Daniel Sánchez, Miguel Delgado:
Meta-association rules for fusing regular association rules from different databases. FUSION 2014: 1-7 - [c34]Irene Diaz-Valenzuela, María J. Martín-Bautista, María Amparo Vila Miranda:
A Fuzzy Semisupervised Clustering Method: Application to the Classification of Scientific Publications. IPMU (1) 2014: 179-188 - [c33]Ana Belén Pelegrina, María J. Martín-Bautista, Pamela Faber:
Improving Personalization and Contextualization of Queries to Knowledge Bases Using Spreading Activation and Users' Feedback. ISMIS 2014: 285-294 - [c32]Manuel P. Cuéllar, María Ros, María J. Martín-Bautista, Yann-Aël Le Borgne, Gianluca Bontempi:
An Approach for the Evaluation of Human Activities in Physical Therapy Scenarios. MONAMI 2014: 401-414 - 2013
- [j15]Irene Diaz-Valenzuela, María J. Martín-Bautista, Maria-Amparo Vila, Jesús R. Campaña:
An automatic system for identifying authorities in digital libraries. Expert Syst. Appl. 40(10): 3994-4002 (2013) - [j14]María J. Martín-Bautista, Carlos Molina, Elizabet Tejeda, María Amparo Vila Miranda:
A new multidimensional model with text dimensions: definition and implementation. Int. J. Comput. Intell. Syst. 6(1): 137-155 (2013) - [c31]Miguel Delgado, María J. Martín-Bautista, M. Dolores Ruiz, Daniel Sánchez:
Detecting Anomalous and Exceptional Behaviour on Credit Data by Means of Association Rules. FQAS 2013: 143-154 - [c30]Ana Belén Pelegrina, María J. Martín-Bautista, Pamela Faber:
Contextualization and Personalization of Queries to Knowledge Bases Using Spreading Activation. FQAS 2013: 671-682 - [c29]Irene Diaz-Valenzuela, María J. Martín-Bautista, Maria-Amparo Vila:
Using a semisupervised fuzzy clustering process for identity identification in digital libraries. IFSA/NAFIPS 2013: 831-836 - [e1]Henrik Legind Larsen, María J. Martín-Bautista, Maria-Amparo Vila, Troels Andreasen, Henning Christiansen:
Flexible Query Answering Systems - 10th International Conference, FQAS 2013, Granada, Spain, September 18-20, 2013. Proceedings. Lecture Notes in Computer Science 8132, Springer 2013, ISBN 978-3-642-40768-0 [contents] - 2012
- [j13]Richard Gil, María J. Martín-Bautista:
A novel integrated knowledge support system based on ontology learning: Model specification and a case study. Knowl. Based Syst. 36: 340-352 (2012) - 2011
- [c28]Luchiana Cezara Brodeala, María J. Martín-Bautista, Richard Gil:
Combining Semantic and Multilingual Search to Databases with Recommender Systems. DEXA Workshops 2011: 544-548 - [c27]Richard Gil, María J. Martín-Bautista:
An Ontology-Learning Knowledge Support System to Keep e-Organization's Knowledge Up-to-Date: A University Case Study. EGOVIS 2011: 249-263 - 2010
- [j12]María J. Martín-Bautista, Daniel Sánchez, Maria-Amparo Vila, Miguel Delgado:
A new fusion strategy for web metasearch. Soft Comput. 14(8): 847-855 (2010) - [c26]Richard Gil, Leonardo Contreras, María J. Martín-Bautista:
A Systemic Methodology for Ontology Learning - An Academic Case Study and Evaluation. KEOD 2010: 206-212 - [c25]María J. Martín-Bautista, Carlos Molina, Elizabet Tejeda, María Amparo Vila Miranda:
Using Textual Dimensions in Data Warehousing Processes. IPMU (2) 2010: 158-167 - [c24]Irene Diaz-Valenzuela, María J. Martín-Bautista, Maria-Amparo Vila:
An automatic data mining authority control system: A first approach. ISDA 2010: 569-574 - [c23]Richard Gil, María J. Martín-Bautista, Leonardo Contreras:
Applying an Ontology Learning Methodology to a Relational Database: University Case Study. ICSC 2010: 313-316
2000 – 2009
- 2009
- [j11]Miguel Delgado, María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda:
An extended characterization of fuzzy bags. Int. J. Intell. Syst. 24(6): 706-721 (2009) - [c22]Richard Gil, Ana María Borges, Leonardo Contreras, María J. Martín-Bautista:
Improving Ontologies through Ontology Learning: a University Case. CSIE (4) 2009: 558-563 - [c21]Jesús R. Campaña, María J. Martín-Bautista, Juan Miguel Medina, María Amparo Vila Miranda:
Semantic Enrichment of Database Textual Attributes. FQAS 2009: 488-499 - 2008
- [j10]Daniel Sánchez, José-María Serrano, Ignacio J. Blanco, María J. Martín-Bautista, María Amparo Vila Miranda:
Using association rules to mine for strong approximate dependencies. Data Min. Knowl. Discov. 16(3): 313-348 (2008) - [c20]María J. Martín-Bautista, Sandro Martínez-Folgoso, María Amparo Vila Miranda:
A New Semantic Representation for Short Texts. DaWaK 2008: 347-356 - [c19]María J. Martín-Bautista, María Amparo Vila Miranda, Víctor H. Escobar-Jeria:
Obtaining User Profiles Via Web Usage Mining. IADIS European Conf. Data Mining 2008: 73-76 - [c18]Daniel Sánchez, María J. Martín-Bautista, Ignacio J. Blanco, Consuelo Justicia de la Torre:
Text Knowledge Mining: An Alternative to Text Data Mining. ICDM Workshops 2008: 664-672 - 2007
- [c17]Víctor H. Escobar-Jeria, María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda:
Analysis of Log Files Applying Mining Techniques and Fuzzy Logic. IEA/AIE 2007: 483-492 - [c16]Víctor H. Escobar-Jeria, María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda:
Web Usage Mining Via Fuzzy Logic Techniques. IFSA (1) 2007: 243-252 - 2006
- [c15]Nicolás Marín Ruíz, María J. Martín-Bautista, Miguel A. Prados de Reyes, María Amparo Vila Miranda:
Enhancing Short Text Retrieval in Databases. FQAS 2006: 613-624 - [p2]María José Martín Bautista, Daniel Sánchez, José-María Serrano, Maria-Amparo Vila:
Helping Users in Web Information Retrieval Via Fuzzy Association Rules. Soft Computing in Web Information Retrieva 2006: 221-237 - 2005
- [c14]Enrique Herrera-Viedma, María J. Martín-Bautista, Sergio Guadarrama, Alejandro Sobrino, José A. Olivas:
Soft Computing for Information Retrieval in the WEB. EUSFLAT Conf. 2005: 4-6 - [c13]Consuelo Justicia de la Torre, María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda:
Text mining: intermediate forms on knowledge representation. EUSFLAT Conf. 2005: 1082-1087 - 2004
- [j9]María J. Martín-Bautista, Daniel Sánchez, Jesús Chamorro-Martínez, José-María Serrano, Maria-Amparo Vila:
Mining web documents to find additional query terms using fuzzy association rules. Fuzzy Sets Syst. 148(1): 85-104 (2004) - 2003
- [j8]Fernando Berzal Galiano, Juan C. Cubero, Fernando Cuenca, María J. Martín-Bautista:
On the quest for easy-to-understand splitting rules. Data Knowl. Eng. 44(1): 31-48 (2003) - [j7]Donald H. Kraft, María J. Martín-Bautista, Jianhua Chen, Daniel Sánchez:
Rules and fuzzy rules in text: concept, extraction and usage. Int. J. Approx. Reason. 34(2-3): 145-161 (2003) - [j6]Ignacio J. Blanco, María J. Martín-Bautista, Olga Pons, María Amparo Vila Miranda:
A Tuple-Oriented Algorithm for Deduction in a Fuzzy Relational Database. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 11(Supplement-1): 47-66 (2003) - [c12]Miguel Delgado, María J. Martín-Bautista, Daniel Sánchez, José-María Serrano, María Amparo Vila Miranda:
Building Topic Profiles Based on Expert Profile Aggregation. AWIC 2003: 230-239 - [c11]Miguel Delgado, María J. Martín-Bautista, Daniel Sánchez, José-María Serrano, María Amparo Vila Miranda:
Association rules and fuzzy association rules to find new query terms. EUSFLAT Conf. 2003: 49-53 - [c10]Miguel Delgado, María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda:
Aggregating Expert Profiles for Ser Quering Aid. ICEIS (3) 2003: 278-285 - [c9]Miguel Delgado, María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda:
On a Characterization of Fuzzy Bags. IFSA 2003: 119-126 - [p1]Donald H. Kraft, Jianhua Chen, María J. Martín-Bautista, María Amparo Vila Miranda:
Textual Information Retrieval with User Profiles Using Fuzzy Clustering and Inferencing. Intelligent Exploration of the Web 2003: 152-165 - 2002
- [j5]Miguel Delgado, Daniel Sánchez, María J. Martín-Bautista, María Amparo Vila Miranda:
A probabilistic definition of a nonconvex fuzzy cardinality. Fuzzy Sets Syst. 126(2): 177-190 (2002) - [j4]Miguel Delgado, Francisco Herrera, Enrique Herrera-Viedma, María J. Martín-Bautista, Luis Martínez-López, María Amparo Vila Miranda:
A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet. Soft Comput. 6(5): 320-328 (2002) - [j3]María J. Martín-Bautista, Donald H. Kraft, María Amparo Vila Miranda, Jianhua Chen, J. Cruz:
User profiles and fuzzy logic for web retrieval issues. Soft Comput. 6(5): 365-372 (2002) - [c8]Miguel Delgado, María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda:
Mining Text Data: Special Features and Patterns. Pattern Detection and Discovery 2002: 140-153 - [c7]Miguel Delgado, María J. Martín-Bautista, Daniel Sánchez, José-María Serrano, María Amparo Vila Miranda:
Association Rule Extraction for Text Mining. FQAS 2002: 154-162 - 2001
- [j2]Miguel Delgado, Daniel Sánchez, María J. Martín-Bautista, María Amparo Vila Miranda:
Mining association rules with improved semantics in medical databases. Artif. Intell. Medicine 21(1-3): 241-245 (2001) - 2000
- [c6]María J. Martín-Bautista, Maria-Amparo Vila, Daniel Sánchez, Henrik Legind Larsen:
Fuzzy genes: improving the effectiveness of information retrieval. CEC 2000: 471-478 - [c5]María J. Martín-Bautista, Daniel Sánchez, María Amparo Vila Miranda, Henrik Legind Larsen:
Measuring Effectiveness in Fuzzy Information Retrieval. FQAS 2000: 396-402 - [c4]María J. Martín-Bautista, María Amparo Vila Miranda, Henrik Legind Larsen:
Building adaptive user profiles by a genetic fuzzy classifier with feature selection. FUZZ-IEEE 2000: 308-312
1990 – 1999
- 1999
- [j1]María J. Martín-Bautista, María Amparo Vila Miranda, Henrik Legind Larsen:
A Fuzzy Genetic Algorithm Approach to an Adaptive Information Retrieval Agent. J. Am. Soc. Inf. Sci. 50(9): 760-771 (1999) - [c3]María J. Martín-Bautista, Maria-Amparo Vila:
A survey of genetic feature selection in mining issues. CEC 1999: 1314-1321 - [c2]María J. Martín-Bautista, María Amparo Vila Miranda, Henrik Legind Larsen:
A genetic fuzzy classifier to adaptive user interest profiles with feature selection. EUSFLAT-ESTYLF Joint Conf. 1999: 327-330 - 1998
- [c1]María J. Martín-Bautista, María Amparo Vila Miranda:
Applying Genetic Algorithms to the Feature Selection Problem in Information Retrieval. FQAS 1998: 272-281
Coauthor Index
aka: María Amparo Vila Miranda
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