Marcos Fernández-Pichel

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Natural Language Processing

Top Venues

Publications

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)
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)
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)
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)
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)
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)
Marcos Fernández-Pichel
Estimating the Reliability of Health-related Search Results. SIGIR (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)
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)
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)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
CiTIUS at the TREC 2020 Health Misinformation Track. TREC (2020)