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2024

• Noel Pascual-Presa, Marcos Fernández-Pichel, David E. Losada, Berta García-Orosa, Paula Martínez-Graña, Lucía Ortigueira-Piñeiro. The Difficulty of Misinformation Labelling: A Case Study for Radon Gas-Related Searches. In 40th Conference of the Spanish Society for Natural Language Processing, SEPLN 2024.
• Manuel Couto, Javier Parapar, David E. Losada. Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis. In Procesamiento del Lenguaje Natural 73, 69-81, 2024.
• Gergana Rosenova, Marcos Fernández-Pichel, Selina Meyer, David E. Losada. Semi-Supervised Learning in the Field of Conversational Agents and Motivational Interviewing. In Procesamiento del Lenguaje Natural 73, 55-67, 2024.
• Javier Parapar, Patricia Martín, David E. Losada, Fabio Crestani. Overview of eRisk at CLEF 2024: Early Risk Prediction on the Internet (extended overview). In Working Notes of CLEF 2024 - Conference and Labs of the Evaluation Forum (CEUR-WS proceedings, 3740), 2024.
• Javier Parapar, Patricia Martín, David E. Losada, Fabio Crestani. Overview of eRisk 2024: Early Risk Prediction on the Internet. In Experimental IR Meets Multilinguality, Multimodality, and Interaction, Lecture Notes in Computer Science 14958, 2024.

The eRisk 2024 collection is available for research purposes: more info here

• Marcos Fernández-Pichel, David E. Losada, Juan C. Pichel. Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation. In 24th International Conference on Computational Science (ICCS), LNCS 14835, 325-339, 2024.

  Official publication from Springer

• Selina Meyer, Marcos Fernández-Pichel, David Elsweiler, David E. Losada. Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data. 1st Workshop on Patient-Oriented Language Processing (CL4Health), LREC-COLING 2024, 2024.
• Mario Ezra Aragón, Javier Parapar, David E. Losada. Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries. 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych), 2024.
• Roque Fernández-Iglesias, Marcos Fernández-Pichel, Mario Ezra Aragón, David E. Losada. DepressMind: A Depression Surveillance System for Social Media Analysis. 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2024.
• David E. Losada, Nelly Condori-Fernández, Marcos Fernández Pichel. LudoTrack: Web Mining, Search Technologies and Natural Language Processing for the Early Detection of Pathological Gambling. 18th International Conference on Research Challenges in Information Science (RCIS 2024), CEUR Workshop Proceedings vol 3674.
• Marcos Fernández Pichel, Markus Bink, David E. Losada, David Elsweiler. A user study on people’s perception to the credibility of online health information. 4th Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2024), co-located with ECIR 2024. CEUR Workshop Proceedings vol 3677.
• Javier Parapar, Patricia Martin-Rodilla, David E. Losada, Fabio Crestani. eRisk 2024: depression, anorexia, and eating disorder challenges. In 46th European Conference on Information Retrieval (ECIR), LNCS 14612, 474-481, 2024.

  Official publication from Springer

2023

• Marcos Fernández-Pichel, Mario Ezra Aragón, Julián Saborido-Patiño, David E. Losada. Personality trait analysis during the COVID-19 pandemic: a comparative study on social media. In Journal of Intelligent Information Systems, 2023.
• Javier Parapar, Patricia Martín, David E. Losada, Fabio Crestani. Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (extended overview). In Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum (CEUR-WS proceedings, 3497), 2023.
• Javier Parapar, Patricia Martín, David E. Losada, Fabio Crestani. Overview of eRisk 2023: Early Risk Prediction on the Internet. In Experimental IR Meets Multilinguality, Multimodality, and Interaction, Lecture Notes in Computer Science 14163, 2023.

The eRisk 2023 collection is available for research purposes: more info here

• Mario Ezra Aragón, A. Pastor López-Monroy, Luis C. González, David E. Losada, Manuel Montes y Gómez. DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media. 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
• Marcos Fernández-Pichel, Manuel Prada-Corral, David E. Losada, Juan C. Pichel, Pablo Gamallo. An unsupervised perplexity-based method for boilerplate removal. Natural Language Engineering, 2023.
• Marcos Fernández Pichel, Selina Meyer, Markus Bink, Alexander Frummet, David E. Losada, David Elsweiler. Improving the Reliability of Health Information Credibility Assessments. 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval (ROMCIR 2023), co-located with ECIR 2023. CEUR Workshop Proceedings vol 3406.
• Javier Parapar, Patricia Martin-Rodilla, David E. Losada, Fabio Crestani. eRisk 2023: depression, pathological gambling, and eating disorder challenges. In 45th European Conference on Information Retrieval (ECIR), LNCS 13982, 585-592, 2023.

  Official publication from Springer

2022

• Fabio Crestani, David E. Losada, Javier Parapar (eds). Early Detection of Mental Health Disorders by Social Media Monitoring: The First Five Years of the eRisk Project. Springer, Studies in Computational Intelligence (SCI, volume 1018), 2022.
• Marcos Fernández-Pichel, David E. Losada, Juan C. Pichel. Social Minder: a Tool for Social Media Monitoring and its Use for Detecting COVID-19 Misinformation. In CIRCLE 2022, Proceedings of the 2nd Joint Conference of the Information Retrieval Communities in Europe (CEUR-WS proceedings, vol 3178), 2022.
• Selina Meyer, David Elsweiler, Bernd Ludwig, Marcos Fernández-Pichel, David E. Losada. Do We Still Need Human Assessors? Prompt-Based GPT-3 User Simulation in Conversational AI. In CUI 2022, Proceedings of the 4th Conference on Conversational User Interfaces (ACM press), 2022.
• Marcos Fernández-Pichel, Manuel Prada-Corral, David E. Losada, Juan C. Pichel. CiTIUS at the TREC 2022 Health Misinformation Track. In 31st Text Retrieval Conference, TREC 2022 (NIST proceedings 500-338), 2022.
• Marcos Fernández-Pichel, David E. Losada, Juan C. Pichel. A multistage retrieval system for health-related misinformation detection. In Engineering Applications of Artificial Intelligence 115, 105211, 2022.
• Silvia López-Larrosa, Vanesa Sánchez-Souto, David E. Losada, Javier Parapar, Álvaro Barreiro, Anh P. Ha, Edward M. Cummings. Using Machine Learning Techniques to Predict Adolescents’ Involvement in Family Conflict. Social Science Computer Review, 2022.
• Javier Parapar, Patricia Martín, David E. Losada, Fabio Crestani. Overview of eRisk 2022. Early Risk Prediction on the Internet. In Experimental IR Meets Multilinguality, Multimodality, and Interaction, Lecture Notes in Computer Science 13390, 2022.

The eRisk 2022 collection is available for research purposes: more info here

• Rodrigo Martínez, David E. Losada, Juan C. Pichel. Real-Time Focused Extraction of Social Media Users. IEEE Access, vol 10, 2022.
• Javier Parapar, Patricia Martín, David E. Losada, Fabio Crestani. Overview of eRisk at CLEF 2022: Early Risk Prediction on the Internet (extended overview). In Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum (CEUR-WS proceedings, 3180), 2022.
• Javier Parapar, Patricia Martin-Rodilla, David E. Losada, Fabio Crestani. eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges. In 44th European Conference on Information Retrieval (ECIR), LNCS 13186, 436-442, 2022.

  Official publication from Springer

• David E. Losada, David Elsweiler, Morgan Harvey, Christoph Trattner. A day at the races: Using best arm identification algorithms to reduce the cost of information retrieval user studies. Applied Intelligence, 52, 5617-5632, 2022.

2021

• Marcos Fernández-Pichel, Manuel Prada-Corral, David E. Losada, Juan C. Pichel, and Pablo Gamallo. CiTIUS at the TREC 2021 Health Misinformation Track. In 30th Text Retrieval Conference, TREC 2021 (NIST proceedings 500-335), 2021.
• Javier Parapar, Patricia Martín, David E. Losada, Fabio Crestani. Overview of eRisk 2021. Early Risk Prediction on the Internet. In Experimental IR Meets Multilinguality, Multimodality, and Interaction LNCS 12880, 2021.

The eRisk 2021 collection is available for research purposes: more info here

• Javier Parapar, Patricia Martín, David E. Losada, Fabio Crestani. Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (extended overview). In Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum (CEUR-WS proceedings, vol 2936), 2021.
• Marcos Fernández-Pichel, David E. Losada, Juan C. Pichel and David Elsweiler. Comparing Traditional and Neural Approaches for detecting Health-related Misinformation. In Experimental IR Meets Multilinguality, Multimodality, and Interaction LNCS 12880, 2021.
• Marcos Fernández-Pichel, David Elsweiler, David E. Losada, Juan C. Pichel. Colaboración entre docentes de una universidad alemana y una española para el desarrollo de seminarios prácticos acerca de la credibilidad de la información. XXVII Jornadas sobre la Enseñanza Universitaria de la Informática JENUI, 2021.
• Esteban Ríssola, David E. Losada, Fabio Crestani. A Survey of Computational Methods for Online Mental State Assessment on Social Media. In ACM Transactions on Computing for Healthcare, 2(2), 1-31, 2021.
• Javier Parapar, David E. Losada, Álvaro Barreiro. Testing the Tests: Simulation of Rankings to Compare Statistical Significance Tests in Information Retrieval Evaluation. In 36th ACM Symposium on Applied Computing (Information Access and Retrieval Track), 2021.
• David E. Losada, Matthias Herrmann, David Elsweiler. Cost-effective Identification of On-topic Search Queries using Multi-Armed Bandits. In 36th ACM Symposium on Applied Computing (Information Access and Retrieval Track), 2021.
• Marcos Fernández-Pichel, David E. Losada, Juan C. Pichel, David Elsweiler. Reliability Prediction for Health-related Content: A Replicability Study. In 43rd European Conference on Information Retrieval (ECIR), LNCS 12657, 47-61, 2021.

  Official publication from Springer

• Javier Parapar, Patricia Martin-Rodilla, David E. Losada, Fabio Crestani. eRisk 2021: Pathological Gambling, Self-Harm and Depression Challenges. In 43rd European Conference on Information Retrieval (ECIR), LNCS 12657, 650-656, 2021.

  Official publication from Springer

• Aldo Lipani, David E. Losada, Guido Zuccon, Mihai Lupu. Fixed-cost pooling strategies. IEEE Transactions on Knowledge and Data Engineering, 33(4), 2021.

2020

• Marcos Fernández-Pichel, David E. Losada, Juan C. Pichel and David Elsweiler. CiTIUS at the TREC 2020 Health Misinformation Track. In 29th Text Retrieval Conference, TREC 2020 (NIST proceedings 1266), 2020.
• David E. Losada, Fabio Crestani, Javier Parapar. Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (extended overview). In Working Notes of CLEF 2020 - Conference and Labs of the Evaluation Forum (CEUR-WS proceedings, vol 2696), 2020.

The eRisk 2020 collection is available for research purposes: more info here

• David E. Losada, Fabio Crestani, Javier Parapar. Overview of eRisk 2020. Early Risk Prediction on the Internet. In Experimental IR Meets Multilinguality, Multimodality, and Interaction (LNCS 12260), 2020.
• Rodrigo Martínez Castaño, Juan C. Pichel and David E. Losada. A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media. International Journal of Environmental Research and Public Health, Vol. 13, No. 17, 2020.

  The software is available at GitHub: Catenae, Crawler.

• Marcos Fernández Pichel, Rodrigo Martínez Castaño, David E. Losada, Juan C. Pichel. eXtream: a System for Real-time Monitoring of Dynamic Web Sources. Joint Conference of the Information Retrieval Communities in Europe, CIRCLE 2020.

  The software is available at: GitHub

• David E. Losada, Fabio Crestani, Javier Parapar. eRisk 2020: Self-harm and Depression Challenges. 42nd European Conference on Information Retrieval, ECIR 2020.

  Official publication from Springer

• Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Álvaro Barreiro. Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation. Journal of the Association for Information Science and Technology, 71(1), 98-113, 2020.

  Official publication from Wiley

2019

• Esteban A. Ríssola, David E. Losada, Fabio Crestani. Discovering Latent Depression Patterns in Online Social Media. In IIR 2019: 10th Italian Information Retrieval Workshop, CEUR Workshop Proceedings Vol-2441, 2019.
• David E. Losada, Fabio Crestani, Javier Parapar. Overview of eRisk 2019. Early Risk Prediction on the Internet. In Experimental IR Meets Multilinguality, Multimodality, and Interaction (LNCS 11696), 2019.
• Fabio Crestani, Martin Braschler, Jacques Savoy, Andreas Rauber, Henning Müller, David E. Losada, Gundula Heinatz Bürki, Linda Cappellato, Nicola Ferro (eds). Experimental IR Meets Multilinguality, Multimodality, and Interaction. LNCS proceedings, vol 11696, 2019.
• David E. Losada, Fabio Crestani, Javier Parapar. Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview). In Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum (CEUR-WS proceedings, vol 2380), 2019.

The eRisk 2019 collection is available for research purposes: more info here

• Linda Cappellato, Nicola Ferro, David E. Losada, Henning Müller (eds). Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum. CEUR-WS proceedings, vol 2380, 2019.
• David E. Losada, Pedro Montero, Diego Brea, Silvia Allen-Perkins, Begoña Vila. Clustering Hydrographic Conditions in Galician Estuaries. ICCS 2019, Lecture Notes in Computer Science 11539, 2019.

  © Springer-Verlag. LNCS series, here

• David E. Losada, Fabio Crestani, Javier Parpar. Early detection of risks on the Internet: an exploratory campaign. 41st European Conference on Information Retrieval, ECIR 2019.
• David E. Losada, Javier Parapar, Álvaro Barreiro. When to Stop Making Relevance Judgments? A Study of Stopping Methods for Building Information Retrieval Test Collections. Journal of the Association for Information Science and Technology, 70(1), 49-60, 2019.

  Official publication from Wiley

  The code and instructions to reproduce the experiments are available here

2018

• David E. Losada. Profiling Depression and Anorexia in Social Media. 18th evaluation lab on digital text forensics (PAN 2018), Keynote Speech, Avignon (France), 2018.
• David E. Losada, Fabio Crestani, Javier Parapar. Overview of eRisk: Early Risk Prediction on the Internet. CLEF 2018, Lecture Notes in Computer Science 11018, 2018.

  © Springer-Verlag. LNCS series, here

• David E. Losada, Fabio Crestani, Javier Parapar. Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview). Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum, Avignon, France, September 10-14, 2018.

The eRisk 2018 collection is available for research purposes: more info here

• David E. Losada, Pablo Gamallo. Evaluating and improving lexical resources for detecting signs of depression in text, Language Resources and Evaluation, 1-24, 2018.

  You can also get the final official publication from Springer

• David E. Losada, Javier Parapar, Álvaro Barreiro. Cost-effective construction of Information Retrieval test collections. 5th Spanish Conference on Information Retrieval, CERI 2018, 12:1-12:2, 2018.

  ACM press

• Rodrigo Martínez-Castaño, Juan C. Pichel, David E. Losada. Building Python-Based Topologies for Massive Processing of Social Media Data in Real Time. 5th Spanish Conference on Information Retrieval, CERI 2018, 18:1-18:8, 2018.

  ACM press

• Ruth Rodríguez-Bermúdez, Carlos Herrero-Latorre, Marta López-Alonso, David Losada, Roberto Iglesias, Marta Miranda. Organic cattle products: authenticating production origin by analysis of serum mineral content. Food Chemistry, 264, 210-217, 2018.
• Rodrigo Martínez-Castaño, Juan C. Pichel, David E. Losada, Fabio Crestani. A Micromodule Approach for Building Real-Time Systems with Python-Based Models: Application to Early Risk Detection of Depression on Social Media. 40th European Conference on Information Retrieval, ECIR 2018, Lecture Notes in Computer Science 10772, 2018.

  Springer Verlag

• David E. Losada, Javier Parapar, Álvaro Barreiro. A Rank Fusion Approach based on Score Distributions for Prioritizing Relevance Assessments in Information Retrieval Evaluation, Information Fusion, 39, 56-71, 2018.

  You can also get a copy from Science Direct

  The code and instructions to reproduce the experiments are available here

• Salvatore Trani, Claudio Lucchese, Raffaele Perego, David E. Losada, Diego Ceccarelli, Salvatore Orlando. SEL: a Unified Algorithm for Entity Linking and Saliency Detection, Computational Intelligence, vol 34(1), 2-29, 2018.

  © Wiley. The original publication is available here

2017

• David E. Losada, Javier Parapar. Psychological Features for Automatic Text Summarization, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25(2), 129-149, 2017.

  © World Scientific. The original publication is available here

• David E. Losada, Fabio Crestani, Javier Parapar. CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations. Working Notes of CLEF 2017 - Conference and Labs of the Evaluation Forum, Dublin, Ireland, September 11-14, 2017.
• David E. Losada, Fabio Crestani, Javier Parapar. eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations. CLEF 2017, Lecture Notes in Computer Science 10456, 2017.

  © Springer-Verlag. LNCS series, here

The eRisk 2017 collection is available for research purposes: more info here

• David E. Losada, Javier Parapar, Álvaro Barreiro. Multi-Armed Bandits for Adjudicating Documents in Pooling-Based Evaluation of Information Retrieval Systems, Information Processing and Management, 53(3), 1005-1025, 2017.

  You can also get a copy from Science Direct

  The code and instructions to reproduce the experiments are available here

2016

• David E. Losada, Fabio Crestani. A Test Collection for Research on Depression and Language use. 7th Conference Labs of the Evaluation Forum, CLEF 2016, Évora (Portugal), 2016. Bibtex

  The collection is available for research purposes: more info here

  Slides: here!

• David E. Losada, Javier Parapar. Injecting Multiple Psychological Features into Standard Text Summarisers. 4th Spanish Conference on Information Retrieval, CERI 2016, Granada (Spain), 2016.

  You can also get a copy from the ACM Digital Library

  Slides: here!

• David E. Losada, Javier Parapar, Alvaro Barreiro. Feeling Lucky? Multi-armed Bandits for Ordering Judgements in Pooling-based Evaluation. ACM 31st Symposium on Applied Computing, SAC 2016, Pisa (Italy), 2016.

  You can also get a copy from the ACM Digital Library.

  The code and instructions to reproduce the experiments are available here

  Slides: here!

2015

• Jose M. Chenlo, Javier Parapar, David E. Losada, Jose Santos. Finding a Needle in the Blogosphere: An Information Fusion Approach for Blog Distillation Search. Information Fusion, 23, 58-68, 2015.

  © Elsevier. The original publication is available here

2014

• Jose M. Chenlo. Exploiting multiple sources of evidence for opinion search in the Web. PhD Thesis, Univ. Santiago de Compostela, 2014.
• Jose M. Chenlo, Alexander Hogenboom, David E. Losada. Rhetorical Structure Theory for Polarity Estimation: an Experimental Study. Data and Knowledge Engineering, 94, 135-147, 2014.

  © Elsevier. The original publication is available here

• Jose M. Chenlo, David E. Losada. An Empirical Study of Sentence Features for Subjectivity and Polarity Classification. Information Sciences, vol. 280, 275–288, October 2014.

  © Elsevier. The original publication is available here

• J. Parapar, David E. Losada, A. Barreiro. Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms. Journal of Universal Computer Science, vol. 20, no. 2, 213-239 , 2014.

2013

• Jose M. Chenlo, David E. Losada A Machine Learning approach for Subjectivity Classification based on Positional and Discourse Features. IRFC2013, 6th Information Retrieval Facility Conference, Limassol, Cyprus, October 2013.
• Jose M. Chenlo, Javier Parapar, David E. Losada Comments-Oriented Query Expansion for Opinion Retrieval in Blogs. CAEPIA 2013, 15th Conference of the Spanish Association for Artificial Intelligence, Madrid, Spain, September 2013.
• Jose M. Chenlo, Alexander Hogenboom, David E. Losada Sentiment-based Ranking of Blog Posts using Rhetorical Structure Theory. NLDB 2013, 18th International Conference on Applications of Natural Language to Information Systems, Manchester (UK), 2013.

2012

• Jose M. Chenlo, J. Atserias, C. Rodriguez, R. Blanco. FBM-Yahoo! at RepLab 2012. RepLab 2012 Lab, An evaluation campaign for Online Reputation Management Systems (within CLEF 2012), Rome (Italy), 2012.
• J. Parapar, D. Losada, A. Barreiro. A learning-based approach for the identification of sexual predators in chat logs. PAN 2012 Lab Uncovering Plagiarism, Authorship, and Social Software Misuse (within CLEF 2012), Rome (Italy), 2012.
• Ronald T. Fernández, D. Losada. Effective sentence retrieval based on query-independent evidence. Information Processing & Management, 2012

2011

• Jose M. Chenlo, D. Losada. Effective and Efficient Polarity Estimation in Blogs based on Sentence-Level Evidence. ACM 20th Conference on Information and Knowledge Management, CIKM 2011, Glasgow (Scotland), 2011.
• D. Elsweiler, D. Losada, José Carlos Toucedo, Ronald T. Fernández. Seeding Simulated Queries with User-study Data for Personal Search Evaluation. Proceedings of the 34th Annual ACM SIGIR Conference, SIGIR 2011, Beijing (China), 2011.
• D. Elsweiler, D. Losada. Ways we can improve Simulated Personal Search Evaluation. ECIR 2011 Workshop on Evaluating Personal Search , Dublin (Ireland), 2011.
• Ronald T. Fernández. Improving Search Effectiveness in Sentence Retrieval and Novelty Detection. PhD Thesis, Univ. Santiago de Compostela, 2011.
• Ronald T. Fernández, D. Losada, L. Azzopardi. Extending the Language Modeling Framework for Sentence Retrieval to Include Local Context. Information Retrieval Journal, 1-35 2011.

  © Springer. This is the author's version of the work. The definitive version is available, here

2010

• D. Losada. Statistical query expansion for sentence retrieval and its effects on weak and strong queries. Information Retrieval, 13(5), 485–506.

  © Springer. This is the author's version of the work. The definitive version is available, here

• D. Lojo, D. Losada, A. Barreiro. Evaluación de técnicas de Aprendizaje Activo para codificación CIE-9-MC de informes de alta hospitalaria. 1st Spanish Conference on Information Retrieval , CERI 2010, Madrid (Spain), Jun 2010.
• Jose M. Chenlo, D. Losada. Combining Document and Sentence Scores for Blog Topic Retrieval. 1st Spanish Conference on Information Retrieval ,CERI 2010, Madrid (Spain), Jun 2010.
• L. Azzopardi, Ronald T. Fernández, D. Losada. Improving Sentence Retrieval with an Importance Prior. Poster session of the 33rd ACM International Conference on Research and Development in Information Retrieval, SIGIR 2010, Geneva (Switzerland), July 2010
• Ronald T. Fernández, J. Parapar, D. Losada, A. Barreiro. Where to Start Filtering Redundancy? A Cluster-Based Approach. Poster session of the 33rd ACM International Conference on Research and Development in Information Retrieval,SIGIR 2010, Geneva (Switzerland), July 2010
• José Carlos Toucedo, D. Losada. Formulating Good Queries for Prior Art Search. Multilingual Information Access Evaluation Vol. I Text Retrieval Experiments, 2010

2009

• Ronald T. Fernández, D. Losada. Using Opinion-Based Features to Boost Sentence Retrieval. ACM 18th Conference on Information and Knowledge Management, CIKM 2009, Hong Kong, Nov 2009 Bibtex
• José Carlos Toucedo, D. Losada. University of Santiago de Compostela at CLEF-IP09. 10th Workshop of the Cross Language Evaluation Forum ,CLEF 2009, Corfu (Greece), 2009
• F. Díaz-Hermida, A. Bugarín, P. Cariñena, M. Mucientes, D. Losada. Fuzzy quantification in two real scenarios: information retrieval and mobile robotics. International Journal of Intelligent Systems, 24(6), 2009.
• D. Lojo, D. Losada, A. Barreiro. CIE-9-MC code Classification with knn and SVM. 3rd International Work-conference on the Interplay between Natural and Artificial Computation, IWINAC 2009, Santiago de Compostela (Spain), Jun 2009.
• J. Parapar, D. Losada, A. Barreiro. Compression-based Document Length Prior for Language Models. Poster session of the 32nd ACM International Conference on Research and Development in Information Retrieval,SIGIR 2009, Boston (USA), Jul 2009.

  Poster available, here

2008

• Ronald T. Fernández, D. Losada. Novelty as a Form of Contextual Re-ranking: Efficient KLD Models and Mixture Models. Information Interaction in Context 2008,IIiX 2008, London, Oct 2008. Bibtex
• D. Losada. A study of statistical query expansion strategies for sentence retrieval.ACM SIGIR 2008 Workshop on Focused Retrieval, (Question Answering, Passage Retrieval, Element Retrieval) Singapore, Jul 2008. Bibtex
• S. Sweeney, F. Crestani, D. Losada. 'Show me more': Incremental length summarisation using novelty detection. Information Processing & Management, 44(2), 2008 Bibtex
• D. Losada, L. Azzopardi. An analysis on document length retrieval trends in language modeling smoothing. Information Retrieval, 11, 109-138, 2008.Bibtex

  © Springer-Verlag. The original publication is available at the Springer web site, here

• D. Losada, L. Azzopardi. Assessing Multi-variate Bernoulli models for Information Retrieval. ACM Transactions on Information Systems, 26(3), 2008. Bibtex

  © ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version is available in the ACM web site,here

• D. Losada, L. Azzopardi, M. Baillie. Revisiting the Relationship between Document Length and Relevance. ACM 17th Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, Oct 2008. Bibtex

2007

• S. Sweeney, F. Crestani, D. Losada. Summarisation and Novelty: An experimental investigation. Poster session of the 29th European Conference on Information Retrieval Research, ECIR 2007, Lecture Notes in Computer Science 4425, 2007. Bibtex

  © Springer-Verlag. LNCS series, here

• Ronald T. Fernández, D. Losada. Novelty Detection using Local Context Analysis. Poster session of the 30th ACM International Conference on Research and Development in Information Retrieval, SIGIR 2007, Amsterdam (The Netherlands), Jul 2007. Bibtex

  Poster avaliable, here

• Ronald T. Fernández. The Effect Of Smoothing In Language Models For Novelty Detection. Future Directions in Information Access, FDIA 2007, Glasgow, Aug 2007. Bibtex
• D. Losada, Ronald T. Fernández. Highly Frequent Terms and Sentence Retrieval. 14th String Processing and Information Retrieval Symposium, SPIRE 2007, Santiago de Chile, Oct 2007. Bibtex
• L. Azzopardi, D. Losada. Fairly Retrieving Documents of All Lengths: A study of Document Length Normalization using the Language Modeling Approach. 1st International Conference on the Theory of Information Retrieval, ICTIR 2007, Budapest, Oct 2007. Bibtex

2006

• D. Losada, J.M. Fernández-Luna. Introduction to the special issue on the 27th European Conference on Information Retrieval Research. Information Retrieval, 9(4), 395–397, 2006.
• D. Losada, F. Crestani. Enhancing a logic-based information retrieval model using term similarity. 11th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems, IPMU 2006, Paris (France), Jul 2006. Bibtex
• S. Sweeney, F. Crestani, D. Losada. Summarisation and novelty in mobile information access. Mobile and Ubiquitous Information Access 2006 Workshop, MUIA 2006, Espoo (Finland), Sep 2006. Bibtex
• D. Losada, F. Díaz-Hermida, A. Bugarín. Semi-fuzzy quantifiers for information retrieval. In Soft Computing in Web Information Retrieval: Models and Applications, Series of Studies in Fuzziness and Soft Computing, Springer Verlag. Edited by E.Herrera-Viedma, G. Pasi and F. Crestani, volume 197/2006., Bibtex
• L. Azzopardi, D. Losada. An Efficient Computation of the Multiple-Bernoulli Language Model. Poster session of the 28th European Conference on Information Retrieval Research, ECIR 2006, London (UK), Apr 2006. Bibtex

  © Springer-Verlag. LNCS series, here

• D. Losada, A. Barreiro. Negations and document length in logical retrieval. Information Systems, 31(7), 2006. Bibtex

2005

• D. Losada, J.M. Fernández-Luna. Advances in Information Retrieval. Proc. 27th European Conference on Information Retrieval Research. ECIR 2005, Lecture Notes in Computer Science 3408, 2005.
• D. Losada, J.M. Fernández-Luna. Report on the 27th European Conference on Information Retrieval Research. ACM SIGIR forum, 39(1), 2005.
• D. Parapar, A. Barreiro, D. Losada. Query expansion using Wordnet with a logical model of information retrieval. IADIS International Conference, IADIS 2005, Algarve (Portugal), Feb 2005. Bibtex
• D. Losada. Language modeling for sentence retrieval: A comparison between Multiple-Bernoulli models and Multinomial models. Information Retrieval and Theory Workshop, Glasgow (UK), Jul 2005. Bibtex
• F. Díaz-Hermida, D. Losada, A. Bugarín, S. Barro. A probabilistic quantifier fuzzification mechanism: the model and its evaluation for information retrieval. IEEE Transactions on Fuzzy Systems, 13(5), 2005. Bibtex

2004

• D. Losada, A. Barreiro. Negations as a high precision mechanism. Poster session of the 26th European Conference on Information Retrieval Research, ECIR 2004, Sunderland (United Kingdom), Apr 2004. Bibtex
• D. Losada, F. Díaz-Hermida, A. Bugarín, S. Barro. A novel probabilistic quantifier fuzzification mechanism for information retrieval. 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems,IPMU 2004, Perugia (Italy), Jul 2004. Bibtex
• D. Losada, A. Barreiro. Negations and document length in logical retrieval. 11th International Symposium on String Processing and Information Retrieval, SPIRE 2004, Padova (Italy), Oct 2004. Bibtex

  © Springer-Verlag. LNCS series, here

• D. Losada, F. Díaz-Hermida, A. Bugarín, S. Barro. Experiments on using fuzzy quantified sentences in adhoc retrieval. 19th ACM Symposium on Applied Computing, SAC 2004, Special Track on Information Access and Retrieval, Nicosia (Cyprus), Mar 2004. Bibtex

  ACM definitive version, here

2003

• D. Losada, A. Barreiro. A theoretical study of logical retrieval in terms of a characterization of knowledge revision. ACM SIGIR 2003 Workshop on Mathematical and Formal Methods in Information Retrieval, Toronto (Canada), Aug 2003. Bibtex
• D. Losada, A. Barreiro. Embedding term similarity and inverse document frequency into a logical model of information retrieval. Journal of the American Society for Information Science and Technology, 54(4), Feb 2003 Bibtex
• D. Losada, A. Barreiro. Propositional logic representations for documents and queries: a large-scale evaluation. 25th European Conference on Information Retrieval Research, ECIR 2003, Pisa (Italy), Apr 2003. Bibtex

  © Springer-Verlag. LNCS series, here

2001

• D. Losada. A logical model of information retrieval based on propositional logic and belief revision. PhD Thesis, Univ. A Coruña, 2001.
• D. Losada, A. Barreiro. Rating the impact of logical representations on retrieval performance. 3rd International Workshop on Logical and Uncertainty Models for Information Systems, LUMIS 2001, (at the 12th International Conference on Database and Expert Systems Applications, DEXA 2001 ), Munich (Germany), Sep 2001. Bibtex
• D. Losada, A. Barreiro. An homogeneous framework to model relevance feedback. Poster session of the 24th International Conference on Research and Development in Information Retrieval, SIGIR 2001, New Orleans (USA), Sep 2001. Bibtex

  ACM definitive version, here

• D. Losada, A. Barreiro. A logical model for information retrieval based on propositional logic and belief revision. The Computer Journal, 44(5), 2001. Bibtex

2000

• D. Losada, A. Barreiro. Implementing Document Ranking within a Logical Framework. 7th Symposium on String Processing and Information Retrieval, SPIRE 2000, A Coruña, Spain, Sep 2000. Bibtex
• D. Losada, A. Barreiro, A. Garcia-Allut, J. Freire. Using Description Logics to Integrate Fishers' Ecological Knowledge in the Research of Artisanal Fisheries. Workshop on Binding Environmental Sciences and Artificial Intelligence, BESAI 2000, (at the 14th European Conference on Artificial Intelligence, ECAI 2000), Berlin (Germany), Aug 2000. Bibtex
• D. Losada, A. Barreiro. Retrieval Situations and Belief Change. 2nd International Workshop on Logical and Uncertainty Models for Information Systems, LUMIS 2000, (at the 11th International Conference on Database and Expert Systems Applications, DEXA 2000), Greenwich (UK), Sep 2000. Bibtex
• D. Losada, A. Barreiro. Efficient algorithms for ranking documents represented as DNF formulas. Technology Letters, 4(1), Jul 2000 Bibtex

1999

• D. Losada, A. Barreiro, R. Ramos. TWebS: An Application of Terminological Logics in Web Searching. Proceedings of the 4th Conference, ISKO-Spain, EOCONSID'99, Granada, Spain, April 1999. Bibtex
• D. Losada, A. Barreiro. Conceptualisation of a Belief Revision Approach to Information Retrieval. Poster session of the, IEE Seminar on Searching for Information: Artificial Intelligence and Information Retrieval Approaches, Glasgow, UK, November 1999. Bibtex
• D. Losada, A. Barreiro. Using a Belief Revision Operator for Document Ranking in Extended Boolean Models. Proceedings of the 22nd International Conference on Research and Development in Information Retrieval, SIGIR 1999, Berkeley, USA, August 1999 Bibtex

  ACM definitive version, here

1998

• D. Losada, A. Barreiro, R. Ramos. A Terminological Approach to Resource Discovery Mechanisms. Proceedings (ODT) of the 6th Iberoamerican Conference on Artificial Intelligence, IBERAMIA 1998, Lisbon, Portugal, October 1998. Bibtex

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