Luis M. de Campos

According to our database1, Luis M. de Campos authored at least 121 papers between 1988 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
LDA-based term profiles for expert finding in a political setting.
J. Intell. Inf. Syst., 2021

2020
Automatic construction of multi-faceted user profiles using text clustering and its application to expert recommendation and filtering problems.
Knowl. Based Syst., 2020

Experiencias y Lecciones Aprendidas Sobre Búsqueda de Expertosy Filtrado de Documentos en un Contexto Parlamentario.
Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), 2020

Temporal and Topical Profiles for Expert Finding.
Proceedings of the First Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020), 2020

2018
Predicting IR personalization performance using pre-retrieval query predictors.
J. Intell. Inf. Syst., 2018

Positive unlabeled learning for building recommender systems in a parliamentary setting.
Inf. Sci., 2018

On the selection of the correct number of terms for profile construction: Theoretical and empirical analysis.
Inf. Sci., 2018

Selecting Relevance Thresholds to Improve a Recommender System in a Parliamentary Setting.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Content-based recommendation for Academic Expert finding.
Proceedings of the 5th Spanish Conference on Information Retrieval, 2018

PMSC-UGR: A Test Collection for Expert Recommendation Based on PubMed and Scopus.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Profile-based recommendation: A case study in a parliamentary context.
J. Inf. Sci., 2017

Committee-Based Profiles for Politician Finding.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017

Comparing Machine Learning and Information Retrieval-Based Approaches for Filtering Documents in a Parliamentary Setting.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

2016
Use of textual and conceptual profiles for personalized retrieval of political documents.
Knowl. Based Syst., 2016

Improving Automatic Classifiers Through Interaction.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Comparing monolithic and committee-based profiles for politician recommendation.
Proceedings of the 4th Spanish Conference on Information Retrieval, 2016

2015
An automatic methodology to evaluate personalized information retrieval systems.
User Model. User Adapt. Interact., 2015

Concept Profiles for Filtering Parliamentary Documents.
Proceedings of the KDIR 2015, 2015

A Lazy Approach for Filtering Parliamentary Documents.
Proceedings of the Electronic Government and the Information Systems Perspective, 2015

CoLe and UTAI at BioASQ 2015: Experiments with Similarity Based Descriptor Assignment.
Proceedings of the Working Notes of CLEF 2015, 2015

Learning Parliamentary Profiles for Recommendation Tasks.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
Using Personalization to Improve XML Retrieval.
IEEE Trans. Knowl. Data Eng., 2014

A probabilistic methodology for multilabel classification.
Intell. Data Anal., 2014

Personalization of Parliamentary Document Retrieval Using Different User Profiles.
Proceedings of the Posters, 2014

CoLe and UTAI Participation at the 2014 BioASQ Semantic Indexing Challenge.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013
Score-based methods for learning Markov boundaries by searching in constrained spaces.
Data Min. Knowl. Discov., 2013

XML search personalization strategies using query expansion, reranking and a search engine modification.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Two Hierarchical Text Categorization Approaches for BioASQ Semantic Indexing Challenge.
Proceedings of the first Workshop on Bio-Medical Semantic Indexing and Question Answering, 2013

2012
Using past-prediction accuracy in recommender systems.
Inf. Sci., 2012

Evaluation methods and strategies for the interactive use of classifiers.
Int. J. Hum. Comput. Stud., 2012

2011
Bayesian networks classifiers for gene-expression data.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Minimum redundancy maximum relevancy versus score-based methods for learning Markov boundaries.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

2010
Using second-hand information in collaborative recommender systems.
Soft Comput., 2010

Managing structured queries in probabilistic XML retrieval systems.
Inf. Process. Manag., 2010

Combining content-based and collaborative recommendations: A hybrid approach based on Bayesian networks.
Int. J. Approx. Reason., 2010

A Content-Bsed Approach to Relevance Feedback in XML-IR for Content and Structure Queries.
Proceedings of the KDIR 2010, 2010

2009
Managing uncertainty in group recommending processes.
User Model. User Adapt. Interact., 2009

An integrated system for managing the Andalusian Parliament's digital library.
Program, 2009

Bayesian network models for hierarchical text classification from a thesaurus.
Int. J. Approx. Reason., 2009

Measuring predictive capability in collaborative filtering.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Link-Based Text Classification Using Bayesian Networks.
Proceedings of the Focused Retrieval and Evaluation, 2009

Content-Oriented Relevance Feedback in XML-IR Using the Garnata Information Retrieval System.
Proceedings of the Flexible Query Answering Systems, 8th International Conference, 2009

2008
A collaborative recommender system based on probabilistic inference from fuzzy observations.
Fuzzy Sets Syst., 2008

Hierarchical naive bayes models for representing user profiles.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

An Integrated System for Accessing the Digital Library of the Parliament of Andalusia: Segmentation, Annotation and Retrieval of Transcriptions and Videos.
Proceedings of the Pattern Recognition in Information Systems, 2008

Probabilistic Methods for Link-Based Classification at INEX 2008.
Proceedings of the Advances in Focused Retrieval, 2008

New Utility Models for the Garnata Information Retrieval System at INEX'08.
Proceedings of the Advances in Focused Retrieval, 2008

Collaborative Recommendations Using Bayesian Networks and Linguistic Modelling.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

2007
Bayesian network learning algorithms using structural restrictions.
Int. J. Approx. Reason., 2007

Probabilistic Methods for Structured Document Classification at INEX'07.
Proceedings of the Focused Access to XML Documents, 2007

The Garnata Information Retrieval System at INEX'07.
Proceedings of the Focused Access to XML Documents, 2007

Group Recommending: A methodological Approach based on Bayesian Networks.
Proceedings of the 23rd International Conference on Data Engineering Workshops, 2007

Automatic Indexing from a Thesaurus Using Bayesian Networks: Application to the Classification of Parliamentary Initiatives.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

Average and Majority Gates: Combining Information by Means of Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
A Theoretical Framework for Web Categorization in Hierarchical Directories using Bayesian Networks.
Proceedings of the Soft Computing in Web Information Retrieval - Models and Applications, 2006

A Scoring Function for Learning Bayesian Networks based on Mutual Information and Conditional Independence Tests.
J. Mach. Learn. Res., 2006

Influence Diagrams and Structured Retrieval: Garnata Implementing the SID and CID Models at INEX'06.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

2005
Learning Bayesian Network Classifiers: Searching in a Space of Partially Directed Acyclic Graphs.
Mach. Learn., 2005

e-Bay.Net: Helping Users to Buy in e-commerce Applications.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

Query Propagation in Possibilistic Information Retrieval Networks.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

A Decision-Based Approach for Recommending in Hierarchical Domains.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

On the Use of Restrictions for Learning Bayesian Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

Improving the Context-Based Influence Diagram Model for Structured Document Retrieval: Removing Topological Restrictions and Adding New Evaluation Methods.
Proceedings of the Advances in Information Retrieval, 2005

2004
Using context information in structured document retrieval: an approach based on influence diagrams.
Inf. Process. Manag., 2004

Bayesian networks and information retrieval: an introduction to the special issue.
Inf. Process. Manag., 2004

Clustering terms in the Bayesian network retrieval model: a new approach with two term-layers.
Appl. Soft Comput., 2004

A comparison of learning algorithms for Bayesian networks: a case study based on data from an emergency medical service.
Artif. Intell. Medicine, 2004

2003
Implementing Relevance Feedback in the Bayesian Network Retrieval Model.
J. Assoc. Inf. Sci. Technol., 2003

Searching for Bayesian Network Structures in the Space of Restricted Acyclic Partially Directed Graphs.
J. Artif. Intell. Res., 2003

Improving the Efficiency of the Bayesian Network Retrieval Model by Reducing Relationships Between Terms.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2003

An iterated local search algorithm for learning Bayesian networks with restarts based on conditional independence tests.
Int. J. Intell. Syst., 2003

An information retrieval model based on simple Bayesian networks.
Int. J. Intell. Syst., 2003

The BNR model: foundations and performance of a Bayesian network-based retrieval model.
Int. J. Approx. Reason., 2003

Ranking Structured Documents Using Utility Theory in the Bayesian Network Retrieval Model.
Proceedings of the String Processing and Information Retrieval, 2003

Partial Abductive Inference in Bayesian Networks By Using Probability Trees.
Proceedings of the ICEIS 2003, 2003

A Multi-layered Bayesian Network Model for Structured Document Retrieval.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2003

2002
Partial abductive inference in Bayesian belief networks - an evolutionary computation approach by using problem-specific genetic operators.
IEEE Trans. Evol. Comput., 2002

Ant colony optimization for learning Bayesian networks.
Int. J. Approx. Reason., 2002

Graphical Models to Causal Discovery from Data.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Reducing Propagation Effort in Large Polytrees: An Application to Information Retrieval.
Proceedings of the First European Workshop on Probabilistic Graphical Models, 6-8 November - 2002, 2002

Local Search Methods for Learning Bayesian Networks Using a Modified Neighborhood in the Space of DAGs.
Proceedings of the Advances in Artificial Intelligence, 2002

A Layered Bayesian Network Model for Document Retrieval.
Proceedings of the Advances in Information Retrieval, 2002

2001
Un modelo de recuperación de información basado en redes bayesianas.
Proces. del Leng. Natural, 2001

Simplifying Explanations in Bayesian Belief Networks.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

Partial abductive inference in Bayesian belief networks by simulated annealing.
Int. J. Approx. Reason., 2001

Accelerating chromosome evaluation for partial abductive inference in Bayesian networks by means of explanation set absorption.
Int. J. Approx. Reason., 2001

Estimating probability values from an incomplete dataset.
Int. J. Approx. Reason., 2001

A hybrid methodology for learning belief networks: BENEDICT.
Int. J. Approx. Reason., 2001

Using Bayesian Networks to Model Emergency Medical Services.
Proceedings of the Medical Data Analysis, Second International Symposium, 2001

Relevance Feedback in the Bayesian Network Retrieval Model: An Approach Based on Term Instantiation.
Proceedings of the Advances in Intelligent Data Analysis, 4th International Conference, 2001

Stochastic Local Algorithms for Learning Belief Networks: Searching in the Space of the Orderings.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

The Search of Causal Orderings: A Short Cut for Learning Belief Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000
A new approach for learning belief networks using independence criteria.
Int. J. Approx. Reason., 2000

Learning Right Sized Belief Networks by Means of a Hybrid Methodology.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000

Building Bayesian Network-Based Information Retrieval Systems.
Proceedings of the 11th International Workshop on Database and Expert Systems Applications (DEXA'00), 2000

1999
Partial abductive inference in Bayesian belief networks using a genetic algorithm.
Pattern Recognit. Lett., 1999

Independence concepts in possibility theory: Part II.
Fuzzy Sets Syst., 1999

Independence concepts in possibility theory: Part I.
Fuzzy Sets Syst., 1999

1998
Independency relationships and learning algorithms for singly connected networks.
J. Exp. Theor. Artif. Intell., 1998

Query Expansion in Information Retrieval Systems using a Bayesian Network-Based Thesaurus.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998

1997
Removing partial inconsistency in valuation-based systems.
Int. J. Intell. Syst., 1997

On the use of independence relationships for learning simplified belief networks.
Int. J. Intell. Syst., 1997

Aproximación de una ordenación de variables en Redes Causales mediante Algoritmos Genéticos.
Inteligencia Artif., 1997

Algorithms for Learning Decomposable Models and Chordal Graphs.
Proceedings of the UAI '97: Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, 1997

1996
Characterizations of Decomposable Dependency Models (Research Note).
J. Artif. Intell. Res., 1996

Characterizations of Decomposable Dependency Models
CoRR, 1996

An Algorithm for Finding Minimum d-Separating Sets in Belief Networks.
Proceedings of the UAI '96: Proceedings of the Twelfth Annual Conference on Uncertainty in Artificial Intelligence, 1996

1995
Independence Concepts for Convex Sets of Probabilities.
Proceedings of the UAI '95: Proceedings of the Eleventh Annual Conference on Uncertainty in Artificial Intelligence, 1995

Axiomatic Treatment of Possibilistic Independence.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1995

1994
Probability Intervals: a Tool for uncertain Reasoning.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994

Uncertainty Management Using Probability Intervals.
Proceedings of the Advances in Intelligent Computing, 1994

Approximations of Causal Networks by Polytrees: an Empirical Study.
Proceedings of the Advances in Intelligent Computing, 1994

1993
A fuzzy inference model based on an uncertainty forward propagation approach.
Int. J. Approx. Reason., 1993

Partially Specified Belief Functions.
Proceedings of the UAI '93: Proceedings of the Ninth Annual Conference on Uncertainty in Artificial Intelligence, 1993

Learning Causal Polytrees.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1993

Learning Non Probalistic Belief Networks.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1993

1992
Propagating uncertain information forward.
Int. J. Intell. Syst., 1992

1991
Learning with CASTLE.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1991

1990
The concept of conditional fuzzy measure.
Int. J. Intell. Syst., 1990

Updating Uncertain Information.
Proceedings of the Uncertainty in Knowledge Bases, 1990

1988
Logical Connectives for Combining Fuzzy Measures.
Proceedings of the Methodologies for Intelligent Systems, 1988


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