Using a Belief Revision Operator for Document Ranking in Extended Boolean Models. - David E. Losada; Alvaro Barreiro (SIGIR, 1999)

Retrieval Situations and Belief Change. - David E. Losada; Alvaro Barreiro (DEXA Workshop, 2000)

Implementing Document Ranking within a Logical Framework. - David E. Losada; Alvaro Barreiro (SPIRE, 2000)

Rating the Impact of Logical Representations on Retrieval Performance. - David E. Losada; Alvaro Barreiro (DEXA Workshop, 2001)

An Homogeneous Framework to Model Relevance Feedback. - David E. Losada; Alvaro Barreiro (SIGIR, 2001)

A Logical Model for Information Retrieval based on Propositional Logic and Belief Revision. - David E. Losada; Alvaro Barreiro (Comput. J., 2001)

Propositional Logic Representations for Documents and Queries: A Large-Scale Evaluation. - David E. Losada; Alvaro Barreiro (ECIR, 2003)

Modelling Fuzzy Quantified Statements under a Voting Model Interpretation of Fuzzy Sets. - Félix Díaz-Hermida; Alberto Bugarín; Purificación Cariñena; Manuel Mucientes; David E. Losada; Senén Barro (IFSA, 2003)

Embedding Term Similarity and Inverse Document Frequency into a Logical Model of Information. - David E. Losada; Alvaro Barreiro (J. Assoc. Inf. Sci. Technol., 2003)

Experiments on using fuzzy quantified sentences in adhoc retrieval. - David E. Losada; Félix Díaz-Hermida; Alberto Bugarín; Senén Barro (SAC, 2004)

Query expansion using wordnet with a logical model of information retrieval. - David Parapar; Alvaro Barreiro; David E. Losada (IADIS AC, 2005)

Report on the 27th European conference on information retrieval research (ECIR 2005). - David E. Losada; Juan M. Fernández-Luna (SIGIR Forum, 2005)

A Probabilistic Quantifier Fuzzification Mechanism: The Model and Its Evaluation for Information Retrieval. - Félix Díaz-Hermida; David E. Losada; Alberto Bugarín; Senén Barro (IEEE Trans. Fuzzy Syst., 2005)

An Efficient Computation of the Multiple-Bernoulli Language Model. - Leif Azzopardi; David E. Losada (ECIR, 2006)

Introduction to the special issue on the 27th European Conference on Information Retrieval Research. - David E. Losada; Juan M. Fernández-Luna (Inf. Retr., 2006)

Negations and document length in logical retrieval. - David E. Losada; Alvaro Barreiro (Inf. Syst., 2006)

Semi-fuzzy Quantifiers for Information Retrieval. - David E. Losada; Félix Díaz-Hermida; Alberto Bugarín (Soft Computing in Web Information Retrieva, 2006)

Summarisation and Novelty: An Experimental Investigation. - Simon O. Sweeney; Fabio Crestani; David E. Losada (ECIR, 2007)

Novelty detection using local context analysis. - Ronald T. Fernández; David E. Losada (SIGIR, 2007)

Highly Frequent Terms and Sentence Retrieval. - David E. Losada; Ronald T. Fernández (SPIRE, 2007)

Revisiting the relationship between document length and relevance. - David E. Losada; Leif Azzopardi; Mark Baillie (CIKM, 2008)

Novelty as a form of contextual re-ranking: efficient KLD models and mixture models. - Ronald T. Fernández; David E. Losada (IIiX, 2008)

'Show me more': Incremental length summarisation using novelty detection. - Simon O. Sweeney; Fabio Crestani; David E. Losada (Inf. Process. Manag., 2008)

An analysis on document length retrieval trends in language modeling smoothing. - David E. Losada; Leif Azzopardi (Inf. Retr., 2008)

Assessing multivariate Bernoulli models for information retrieval. - David E. Losada; Leif Azzopardi (ACM Trans. Inf. Syst., 2008)

Using opinion-based features to boost sentence retrieval. - Ronald T. Fernández; David E. Losada (CIKM, 2009)

Formulating Good Queries for Prior Art Search. - José Carlos Toucedo; David E. Losada (CLEF (1), 2009)

University of Santiago de Compostela at CLEF-IP09. - José Carlos Toucedo; David E. Losada (CLEF (Working Notes), 2009)

CIE-9-MC Code Classification with knn and SVM. - David Lojo; David E. Losada; Alvaro Barreiro (IWINAC (2), 2009)

Compression-based document length prior for language models. - Javier Parapar; David E. Losada; Alvaro Barreiro (SIGIR, 2009)

Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics. - Félix Díaz-Hermida; Alberto Bugarín; Purificación Cariñena; Manuel Mucientes; David E. Losada (Int. J. Intell. Syst., 2009)

Improving sentence retrieval with an importance prior. - Leif Azzopardi; Ronald T. Fernández; David E. Losada (SIGIR, 2010)

Where to start filtering redundancy?: a cluster-based approach. - Ronald T. Fernández; Javier Parapar; David E. Losada; Alvaro Barreiro (SIGIR, 2010)

Statistical query expansion for sentence retrieval and its effects on weak and strong queries. - David E. Losada (Inf. Retr., 2010)

Effective and efficient polarity estimation in blogs based on sentence-level evidence. - José M. Chenlo; David E. Losada (CIKM, 2011)

The challenge of understanding the flow of sentiments in social media documents. - David E. Losada (SMUC, 2011)

Seeding simulated queries with user-study data forpersonal search evaluation. - David Elsweiler; David E. Losada; José Carlos Toucedo; Ronald T. Fernández (SIGIR, 2011)

Extending the language modeling framework for sentence retrieval to include local context. - Ronald T. Fernández; David E. Losada; Leif Azzopardi (Inf. Retr., 2011)

A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs. - Javier Parapar; David E. Losada; Alvaro Barreiro (CLEF (Online Working Notes/Labs/Workshop), 2012)

Effective sentence retrieval based on query-independent evidence. - Ronald T. Fernández; David E. Losada (Inf. Process. Manag., 2012)

ECIR 2012: 34th european conference on information retrieval research. - Ricardo Baeza-Yates; Mari-Carmen Marcos; Arjen P. de Vries; Hugo Zaragoza; Berkant Barla Cambazoglu; Vanessa Murdock 001; Alvaro Barreiro; David E. Losada; Ronny Lempel; Fabrizio Silvestri; Mounia Lalmas (SIGIR Forum, 2012)

Comments-Oriented Query Expansion for Opinion Retrieval in Blogs. - José M. Chenlo; Javier Parapar; David E. Losada (CAEPIA, 2013)

A Machine Learning Approach for Subjectivity Classification Based on Positional and Discourse Features. - José M. Chenlo; David E. Losada (IRFC, 2013)

Sentiment-Based Ranking of Blog Posts Using Rhetorical Structure Theory. - José M. Chenlo; Alexander Hogenboom; David E. Losada (NLDB, 2013)

The probatilistic Quantifier Fuzzification Mechanism FA: A theoretical analysis. - Félix Díaz-Hermida; Alberto Bugarín; David E. Losada (CoRR, 2014)

Rhetorical Structure Theory for polarity estimation: An experimental study. - José M. Chenlo; Alexander Hogenboom; David E. Losada (Data Knowl. Eng., 2014)

An empirical study of sentence features for subjectivity and polarity classification. - José M. Chenlo; David E. Losada (Inf. Sci., 2014)

Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms. - Javier Parapar; David E. Losada; Alvaro Barreiro (J. Univers. Comput. Sci., 2014)

Finding a needle in the blogosphere: An information fusion approach for blog distillation search. - José M. Chenlo; Javier Parapar; David E. Losada; José Santos Reyes (Inf. Fusion, 2015)

Injecting Multiple Psychological Features into Standard Text Summarisers. - David E. Losada; Javier Parapar (CERI, 2016)

A Test Collection for Research on Depression and Language Use. - David E. Losada; Fabio Crestani (CLEF, 2016)

Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation. - David E. Losada; Javier Parapar; Alvaro Barreiro (SAC, 2016)

CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF (Working Notes), 2017)

eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF, 2017)

Psychological Features for Automatic Text Summarization. - David E. Losada; Javier Parapar (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017)

Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems. - David E. Losada; Javier Parapar; Alvaro Barreiro (Inf. Process. Manag., 2017)

Cost-effective construction of Information Retrieval test collections. - David E. Losada; Javier Parapar; Alvaro Barreiro (CERI, 2018)

Building Python-Based Topologies for Massive Processing of Social Media Data in Real Time. - Rodrigo Martínez-Castaño; Juan Carlos Pichel; David E. Losada (CERI, 2018)

Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview). - David E. Losada; Fabio Crestani; Javier Parapar (CLEF (Working Notes), 2018)

Overview of eRisk: Early Risk Prediction on the Internet. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF, 2018)

A Micromodule Approach for Building Real-Time Systems with Python-Based Models: Application to Early Risk Detection of Depression on Social Media. - Rodrigo Martínez-Castaño; Juan Carlos Pichel; David E. Losada; Fabio Crestani (ECIR, 2018)

SEL: A unified algorithm for salient entity linking. - Salvatore Trani; Claudio Lucchese; Raffaele Perego 001; David E. Losada; Diego Ceccarelli; Salvatore Orlando 001 (Comput. Intell., 2018)

A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation. - David E. Losada; Javier Parapar; Alvaro Barreiro (Inf. Fusion, 2018)

Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview). - David E. Losada; Fabio Crestani; Javier Parapar (CLEF (Working Notes), 2019)

Overview of eRisk 2019 Early Risk Prediction on the Internet. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF, 2019)

Early Detection of Risks on the Internet: An Exploratory Campaign. - David E. Losada; Fabio Crestani; Javier Parapar (ECIR (2), 2019)

Clustering Hydrographic Conditions in Galician Estuaries. - David E. Losada; Pedro Montero; Diego Brea; Silvia Allen-Perkins; Begoña Vila (ICCS (4), 2019)

Discovering Latent Depression Patterns in Online Social Media. - Esteban A. Ríssola; David E. Losada; Fabio Crestani (IIR, 2019)

When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections. - David E. Losada; Javier Parapar; Alvaro Barreiro (J. Assoc. Inf. Sci. Technol., 2019)

Report on CLEF 2019. - Martin Braschler; Linda Cappellato; Fabio Crestani; Nicola Ferro 001; Gundula Heinatz Bürki; David E. Losada; Henning Müller; Andreas Rauber; Jacques Savoy (SIGIR Forum, 2019)

eXtream: a System for Real-time Monitoring of Dynamic Web Sources. - Marcos Fernández-Pichel; Rodrigo Martínez-Castaño; David E. Losada; Juan Carlos Pichel (CIRCLE, 2020)

Overview of eRisk 2020: Early Risk Prediction on the Internet. - David E. Losada; Fabio Crestani; Javier Parapar (CLEF, 2020)

Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (Extended Overview). - David E. Losada; Fabio Crestani; Javier Parapar (CLEF (Working Notes), 2020)

eRisk 2020: Self-harm and Depression Challenges. - David E. Losada; Fabio Crestani; Javier Parapar (ECIR (2), 2020)

CiTIUS at the TREC 2020 Health Misinformation Track. - Marcos Fernández-Pichel; David E. Losada; Juan Carlos Pichel; David Elsweiler (TREC, 2020)

Using score distributions to compare statistical significance tests for information retrieval evaluation. - Javier Parapar; David E. Losada; Manuel A. Presedo Quindimil; Alvaro Barreiro (J. Assoc. Inf. Sci. Technol., 2020)

Evaluating and improving lexical resources for detecting signs of depression in text. - David E. Losada; Pablo Gamallo 001 (Lang. Resour. Evaluation, 2020)

Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation. - Marcos Fernández-Pichel; David E. Losada; Juan Carlos Pichel; David Elsweiler (CLEF, 2021)

Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview). - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (Working Notes), 2021)

Overview of eRisk 2021: Early Risk Prediction on the Internet. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF, 2021)

Reliability Prediction for Health-Related Content: A Replicability Study. - Marcos Fernández-Pichel; David E. Losada; Juan Carlos Pichel; David Elsweiler (ECIR (2), 2021)

eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (ECIR (2), 2021)

Cost-effective identification of on-topic search queries using multi-armed bandits. - David E. Losada; Matthias Herrmann; David Elsweiler (SAC, 2021)

Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation. - Javier Parapar; David E. Losada; Álvaro Barreiro (SAC, 2021)

CiTIUS at the TREC 2021 Health Misinformation Track. - Marcos Fernández-Pichel; Manuel de Prada Corral; David E. Losada; Juan Carlos Pichel; Pablo Gamallo 001 (TREC, 2021)

A Survey of Computational Methods for Online Mental State Assessment on Social Media. - Esteban A. Ríssola; David E. Losada; Fabio Crestani (ACM Trans. Comput. Heal., 2021)

Fixed-Cost Pooling Strategies. - Aldo Lipani; David E. Losada; Guido Zuccon; Mihai Lupu (IEEE Trans. Knowl. Data Eng., 2021)

Social Minder: a Tool for Social Media Monitoring and its Use for Detecting COVID-19 Misinformation. - Marcos Fernández-Pichel; David E. Losada; Juan Carlos Pichel (CIRCLE, 2022)

Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview). - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (Working Notes), 2022)

Overview of eRisk 2022: Early Risk Prediction on the Internet. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF, 2022)

Do We Still Need Human Assessors? Prompt-Based GPT-3 User Simulation in Conversational AI. - Selina Meyer; David Elsweiler; Bernd Ludwig; Marcos Fernández-Pichel; David E. Losada (CUI, 2022)

eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (ECIR (2), 2022)

CiTIUS at the TREC 2022 Health Misinformation Track. - Marcos Fernández-Pichel; Manuel de Prada Corral; David E. Losada; Juan Carlos Pichel (TREC, 2022)

Real-Time Focused Extraction of Social Media Users. - Rodrigo Martínez-Castaño; David E. Losada; Juan Carlos Pichel (IEEE Access, 2022)

A day at the races. - David E. Losada; David Elsweiler; Morgan Harvey; Christoph Trattner (Appl. Intell., 2022)

A multistage retrieval system for health-related misinformation detection. - Marcos Fernández-Pichel; David E. Losada; Juan Carlos Pichel (Eng. Appl. Artif. Intell., 2022)

DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Luis Gonzalez; David E. Losada; Manuel Montes (ACL (1), 2023)

Overview of eRisk 2023: Early Risk Prediction on the Internet. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF, 2023)

Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview). - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (Working Notes), 2023)

Improving the Reliability of Health Information Credibility Assessments. - Marcos Fernández-Pichel; Selina Meyer; Markus Bink; Alexander Frummet; David E. Losada; David Elsweiler (ROMCIR@ECIR, 2023)

eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (ECIR (3), 2023)

DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers. - Anxo Pérez; Marcos Fernández-Pichel; Javier Parapar; David E. Losada (CoRR, 2023)

Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview). - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (Working Notes), 2024)

Overview of eRisk 2024: Early Risk Prediction on the Internet. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (CLEF (2), 2024)

DepressMind: A Depression Surveillance System for Social Media Analysis. - Roque Fernández-Iglesias; Marcos Fernández-Pichel; Mario Ezra Aragón; David E. Losada (EACL (Demonstrations), 2024)

A user study on people's perception to the credibility of online health information. - Marcos Fernández-Pichel; Markus Bink; David E. Losada; David Elsweiler (ROMCIR@ECIR, 2024)

Health misinformation detection: search challenges, annotation issues and reliability of LLMs (Keynote). - David E. Losada (ROMCIR@ECIR, 2024)

eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. - Javier Parapar; Patricia Martín-Rodilla; David E. Losada; Fabio Crestani (ECIR (5), 2024)

Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation. - Marcos Fernández-Pichel; David E. Losada; Juan Carlos Pichel (ICCS (4), 2024)

LudoTrack: Web Mining, Search Technologies and Natural Language Processing for the Early Detection of Pathological Gambling. - David E. Losada; Nelly Condori-Fernández; Marcos Fernández-Pichel (RCIS Workshops, 2024)

The Difficulty of Misinformation Labelling: A Case Study for Radon Gas-Related Searches. - Noel Pascual-Presa; Marcos Fernández-Pichel; David Enrique Losada; Berta García-Orosa; Paula Martínez-Graña; Lucía Ortigueira-Piñeiro (SEPLN Posters, 2024)

Search Engines, LLMs or Both? Evaluating Information Seeking Strategies for Answering Health Questions. - Marcos Fernández-Pichel; Juan Carlos Pichel; David E. Losada (CoRR, 2024)

ChatGPT as a Solver and Grader of Programming Exams written in Spanish. - Pablo Fernández-Saborido; Marcos Fernández-Pichel; David E. Losada (CoRR, 2024)

Comparison of Clustering Algorithms for Knowledge Discovery in Social Media Publications: A Case Study of Mental Health Analysis. - Manuel Couto; Javier Parapar; David E. Losada (Proces. del Leng. Natural, 2024)

Semi-Supervised Learning in the Field of Conversational Agents and Motivational Interviewing. - Gergana Rosenova; Marcos Fernández-Pichel; Selina Meyer; David E. Losada (Proces. del Leng. Natural, 2024)

An unsupervised perplexity-based method for boilerplate removal. - Marcos Fernández-Pichel; Manuel de Prada Corral; David E. Losada; Juan Carlos Pichel; Pablo Gamallo 001 (Nat. Lang. Eng., 2024)

Personality trait analysis during the COVID-19 pandemic: a comparative study on social media. - Marcos Fernández-Pichel; Mario Ezra Aragón; Julián Saborido-Patiño; David E. Losada (J. Intell. Inf. Syst., 2024)

Generating Effective Health-Related Queries for Promoting Reliable Search Results. - Xiana Carrera; Marcos Fernández-Pichel; David E. Losada (SIGIR, 2025)

Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy. - David Elsweiler; Samy Ateia; Markus Bink; Gregor Donabauer; Marcos Fernández-Pichel; Alexander Frummet; Udo Kruschwitz; David E. Losada; Bernd Ludwig; Selina Meyer; Noel Pascual-Presa (SIGIR, 2025)

Adapting language models for mental health analysis on social media. - Mario Ezra Aragón; Adrián Pastor López-Monroy; Manuel Montes-y-Gómez; David E. Losada (Artif. Intell. Medicine, 2025)

Evaluating search engines and large language models for answering health questions. - Marcos Fernández-Pichel; Juan Carlos Pichel; David E. Losada (npj Digit. Medicine, 2025)

On the incidence of depression symptoms on social media. - Esteban A. Ríssola; Mario Ezra Aragón; David E. Losada; Fabio Crestani (J. Comput. Soc. Sci., 2025)

DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers. - Anxo Pérez; Marcos Fernández-Pichel; Javier Parapar; David E. Losada (Lang. Resour. Evaluation, 2025)