David E. Losada

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 64

Top Venues

Publications

Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. ECIR (5) (2024)
Marcos Fernández-Pichel, Juan C. Pichel, David E. Losada
Search Engines, LLMs or Both? Evaluating Information Seeking Strategies for Answering Health Questions. CoRR (2024)
Roque Fernández-Iglesias, Marcos Fernández-Pichel, Mario Ezra Aragón, David E. Losada
DepressMind: A Depression Surveillance System for Social Media Analysis. EACL (Demonstrations) (2024)
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. J. Intell. Inf. Syst. 62 (1) (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. RCIS Workshops (2024)
Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel, Pablo Gamallo
An unsupervised perplexity-based method for boilerplate removal. Nat. Lang. Eng. 30 (1) (2024)
Marcos Fernández-Pichel, Markus Bink, David E. Losada, David Elsweiler
A user study on people's perception to the credibility of online health information. ROMCIR@ECIR (2024)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2024)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel
Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation. ICCS (4) (2024)
David E. Losada
Health misinformation detection: search challenges, annotation issues and reliability of LLMs (Keynote). ROMCIR@ECIR (2024)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk at CLEF 2023: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2023)
Marcos Fernández-Pichel, Selina Meyer, Markus Bink, Alexander Frummet, David E. Losada, David Elsweiler
Improving the Reliability of Health Information Credibility Assessments. ROMCIR@ECIR (2023)
Mario Ezra Aragón, Adrián Pastor López Monroy, Luis Gonzalez, David E. Losada, Manuel Montes
DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media. ACL (1) (2023)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2023: Early Risk Prediction on the Internet. CLEF (2023)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges. ECIR (3) (2023)
Anxo Pérez, Marcos Fernández-Pichel, Javier Parapar, David E. Losada
DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers. CoRR (2023)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
eRisk 2022: Pathological Gambling, Depression, and Eating Disorder Challenges. ECIR (2) (2022)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2022: Early Risk Prediction on the Internet. CLEF (2022)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel
A multistage retrieval system for health-related misinformation detection. Eng. Appl. Artif. Intell. 115 (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. CUI (2022)
Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel
CiTIUS at the TREC 2022 Health Misinformation Track. TREC (2022)
Rodrigo Martínez-Castaño, David E. Losada, Juan Carlos Pichel
Real-Time Focused Extraction of Social Media Users. IEEE Access 10 (2022)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2022: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2022)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel
Social Minder: a Tool for Social Media Monitoring and its Use for Detecting COVID-19 Misinformation. CIRCLE (2022)
David E. Losada, David Elsweiler, Morgan Harvey, Christoph Trattner
A day at the races. Appl. Intell. 52 (5) (2022)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk at CLEF 2021: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2021)
David E. Losada, Matthias Herrmann, David Elsweiler
Cost-effective identification of on-topic search queries using multi-armed bandits. SAC (2021)
Javier Parapar, David E. Losada, Álvaro Barreiro
Testing the tests: simulation of rankings to compare statistical significance tests in information retrieval evaluation. SAC (2021)
Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel, Pablo Gamallo
CiTIUS at the TREC 2021 Health Misinformation Track. TREC (2021)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
eRisk 2021: Pathological Gambling, Self-harm and Depression Challenges. ECIR (2) (2021)
Esteban A. Ríssola, David E. Losada, Fabio Crestani
A Survey of Computational Methods for Online Mental State Assessment on Social Media. ACM Trans. Comput. Heal. 2 (2) (2021)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation. CLEF (2021)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
Reliability Prediction for Health-Related Content: A Replicability Study. ECIR (2) (2021)
Javier Parapar, Patricia Martín-Rodilla, David E. Losada, Fabio Crestani
Overview of eRisk 2021: Early Risk Prediction on the Internet. CLEF (2021)
Aldo Lipani, David E. Losada, Guido Zuccon, Mihai Lupu
Fixed-Cost Pooling Strategies. IEEE Trans. Knowl. Data Eng. 33 (4) (2021)
Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Alvaro Barreiro
Using score distributions to compare statistical significance tests for information retrieval evaluation. J. Assoc. Inf. Sci. Technol. 71 (1) (2020)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk 2020: Early Risk Prediction on the Internet. CLEF (2020)
David E. Losada, Pablo Gamallo
Evaluating and improving lexical resources for detecting signs of depression in text. Lang. Resour. Evaluation 54 (1) (2020)
David E. Losada, Fabio Crestani, Javier Parapar
eRisk 2020: Self-harm and Depression Challenges. ECIR (2) (2020)
Marcos Fernández-Pichel, Rodrigo Martínez-Castaño, David E. Losada, Juan Carlos Pichel
eXtream: a System for Real-time Monitoring of Dynamic Web Sources. CIRCLE (2020)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk at CLEF 2020: Early Risk Prediction on the Internet (Extended Overview). CLEF (Working Notes) (2020)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
CiTIUS at the TREC 2020 Health Misinformation Track. TREC (2020)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk 2019 Early Risk Prediction on the Internet. CLEF (2019)
Esteban A. Ríssola, David E. Losada, Fabio Crestani
Discovering Latent Depression Patterns in Online Social Media. IIR (2019)
David E. Losada, Javier Parapar, Alvaro Barreiro
When to stop making relevance judgments? A study of stopping methods for building information retrieval test collections. J. Assoc. Inf. Sci. Technol. 70 (1) (2019)
Martin Braschler, Linda Cappellato, Fabio Crestani, Nicola Ferro, Gundula Heinatz Bürki, David E. Losada, Henning Müller, Andreas Rauber, Jacques Savoy
Report on CLEF 2019. SIGIR Forum 53 (2) (2019)
David E. Losada, Pedro Montero, Diego Brea, Silvia Allen-Perkins, Begoña Vila
Clustering Hydrographic Conditions in Galician Estuaries. ICCS (4) (2019)
Javier Parapar, David E. Losada, Manuel A. Presedo Quindimil, Alvaro Barreiro
Using Score Distributions to Compare Statistical Significance Tests for Information Retrieval Evaluation. CoRR (2019)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk at CLEF 2019: Early Risk Prediction on the Internet (extended overview). CLEF (Working Notes) (2019)
David E. Losada, Fabio Crestani, Javier Parapar
Early Detection of Risks on the Internet: An Exploratory Campaign. ECIR (2) (2019)
Salvatore Trani, Claudio Lucchese, Raffaele Perego, David E. Losada, Diego Ceccarelli, Salvatore Orlando
SEL: A unified algorithm for salient entity linking. Comput. Intell. 34 (1) (2018)
David E. Losada, Javier Parapar, Alvaro Barreiro
Cost-effective construction of Information Retrieval test collections. CERI (2018)
Rodrigo Martínez-Castaño, Juan Carlos Pichel, David E. Losada
Building Python-Based Topologies for Massive Processing of Social Media Data in Real Time. CERI (2018)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk: Early Risk Prediction on the Internet. CLEF (2018)
David E. Losada, Javier Parapar, Alvaro Barreiro
A rank fusion approach based on score distributions for prioritizing relevance assessments in information retrieval evaluation. Inf. Fusion 39 (2018)
David E. Losada, Fabio Crestani, Javier Parapar
Overview of eRisk: Early Risk Prediction on the Internet (Extended Lab Overview). CLEF (Working Notes) (2018)
Rodrigo Martínez-Castaño, Juan Carlos 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. ECIR (2018)
David E. Losada, Javier Parapar, Alvaro Barreiro
Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems. Inf. Process. Manag. 53 (5) (2017)
David E. Losada, Fabio Crestani, Javier Parapar
eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations. CLEF (2017)
David E. Losada, Javier Parapar
Psychological Features for Automatic Text Summarization. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 25 (Supplement-2) (2017)
David E. Losada, Fabio Crestani, Javier Parapar
CLEF 2017 eRisk Overview: Early Risk Prediction on the Internet: Experimental Foundations. CLEF (Working Notes) (2017)
David E. Losada, Fabio Crestani
A Test Collection for Research on Depression and Language Use. CLEF (2016)
David E. Losada, Javier Parapar, Alvaro Barreiro
Feeling lucky?: multi-armed bandits for ordering judgements in pooling-based evaluation. SAC (2016)
David E. Losada, Javier Parapar
Injecting Multiple Psychological Features into Standard Text Summarisers. CERI (2016)
José M. Chenlo, Javier Parapar, David E. Losada, José Santos
Finding a needle in the blogosphere: An information fusion approach for blog distillation search. Inf. Fusion 23 (2015)
Javier Parapar, David E. Losada, Alvaro Barreiro
Combining Psycho-linguistic, Content-based and Chat-based Features to Detect Predation in Chatrooms. J. Univers. Comput. Sci. 20 (2) (2014)
José M. Chenlo, Alexander Hogenboom, David E. Losada
Rhetorical Structure Theory for polarity estimation: An experimental study. Data Knowl. Eng. 94 (2014)
Félix Díaz-Hermida, Alberto Bugarín, David E. Losada
The probatilistic Quantifier Fuzzification Mechanism FA: A theoretical analysis. CoRR (2014)
José M. Chenlo, David E. Losada
An empirical study of sentence features for subjectivity and polarity classification. Inf. Sci. 280 (2014)
José M. Chenlo, David E. Losada
A Machine Learning Approach for Subjectivity Classification Based on Positional and Discourse Features. IRFC (2013)
José M. Chenlo, Javier Parapar, David E. Losada
Comments-Oriented Query Expansion for Opinion Retrieval in Blogs. CAEPIA (2013)
José M. Chenlo, Alexander Hogenboom, David E. Losada
Sentiment-Based Ranking of Blog Posts Using Rhetorical Structure Theory. NLDB (2013)
Javier Parapar, David E. Losada, Alvaro Barreiro
A Learning-Based Approach for the Identification of Sexual Predators in Chat Logs. CLEF (Online Working Notes/Labs/Workshop) (2012)
Ricardo Baeza-Yates, Mari-Carmen Marcos, Arjen P. de Vries, Hugo Zaragoza, Berkant Barla Cambazoglu, Vanessa Murdock, Alvaro Barreiro, David E. Losada, Ronny Lempel, Fabrizio Silvestri, Mounia Lalmas
ECIR 2012: 34th european conference on information retrieval research. SIGIR Forum 46 (2) (2012)
Ronald T. Fernández, David E. Losada
Effective sentence retrieval based on query-independent evidence. Inf. Process. Manag. 48 (6) (2012)
José M. Chenlo, David E. Losada
Effective and efficient polarity estimation in blogs based on sentence-level evidence. CIKM (2011)
David E. Losada
The challenge of understanding the flow of sentiments in social media documents. SMUC (2011)
Ronald T. Fernández, David E. Losada, Leif Azzopardi
Extending the language modeling framework for sentence retrieval to include local context. Inf. Retr. 14 (4) (2011)
David Elsweiler, David E. Losada, José Carlos Toucedo, Ronald T. Fernández
Seeding simulated queries with user-study data forpersonal search evaluation. SIGIR (2011)
David E. Losada
Statistical query expansion for sentence retrieval and its effects on weak and strong queries. Inf. Retr. 13 (5) (2010)
Ronald T. Fernández, Javier Parapar, David E. Losada, Alvaro Barreiro
Where to start filtering redundancy?: a cluster-based approach. SIGIR (2010)
Leif Azzopardi, Ronald T. Fernández, David E. Losada
Improving sentence retrieval with an importance prior. SIGIR (2010)
Javier Parapar, David E. Losada, Alvaro Barreiro
Compression-based document length prior for language models. SIGIR (2009)
Ronald T. Fernández, David E. Losada
Using opinion-based features to boost sentence retrieval. CIKM (2009)
David Lojo, David E. Losada, Alvaro Barreiro
CIE-9-MC Code Classification with knn and SVM. IWINAC (2) (2009)
José Carlos Toucedo, David E. Losada
Formulating Good Queries for Prior Art Search. CLEF (1) (2009)
José Carlos Toucedo, David E. Losada
University of Santiago de Compostela at CLEF-IP09. CLEF (Working Notes) (2009)
Félix Díaz-Hermida, Alberto Bugarín, Purificación Cariñena, Manuel Mucientes, David E. Losada
Fuzzy quantification in two real scenarios: Information retrieval and mobile robotics. Int. J. Intell. Syst. 24 (6) (2009)
David E. Losada, Leif Azzopardi
Assessing multivariate Bernoulli models for information retrieval. ACM Trans. Inf. Syst. 26 (3) (2008)
David E. Losada, Leif Azzopardi, Mark Baillie
Revisiting the relationship between document length and relevance. CIKM (2008)
Ronald T. Fernández, David E. Losada
Novelty as a form of contextual re-ranking: efficient KLD models and mixture models. IIiX (2008)
Simon O. Sweeney, Fabio Crestani, David E. Losada
'Show me more': Incremental length summarisation using novelty detection. Inf. Process. Manag. 44 (2) (2008)
David E. Losada, Leif Azzopardi
An analysis on document length retrieval trends in language modeling smoothing. Inf. Retr. 11 (2) (2008)
David E. Losada, Ronald T. Fernández
Highly Frequent Terms and Sentence Retrieval. SPIRE (2007)
Simon O. Sweeney, Fabio Crestani, David E. Losada
Summarisation and Novelty: An Experimental Investigation. ECIR (2007)
Ronald T. Fernández, David E. Losada
Novelty detection using local context analysis. SIGIR (2007)
David E. Losada, Juan M. Fernández-Luna
Introduction to the special issue on the 27th European Conference on Information Retrieval Research. Inf. Retr. 9 (4) (2006)
David E. Losada, Alvaro Barreiro
Negations and document length in logical retrieval. Inf. Syst. 31 (7) (2006)
Leif Azzopardi, David E. Losada
An Efficient Computation of the Multiple-Bernoulli Language Model. ECIR (2006)
Félix Díaz-Hermida, David E. Losada, Alberto Bugarín, Senén Barro
A Probabilistic Quantifier Fuzzification Mechanism: The Model and Its Evaluation for Information Retrieval. IEEE Trans. Fuzzy Syst. 13 (5) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

David E. Losada