Marcos Fernández-Pichel

31 papers A* 3Journal 10Unranked 18
YearRankTypeTitle / Venue / Authors
2026 — conf
On the Viability of Exploiting Large Language Models for Misinformation Annotation.
ECIR (2)
Pablo Landrove, Marcos Fernández-Pichel, David E. Losada
2026 — conf
Query Harmfulness Prediction (QHP): A New Challenge for Safer Retrieval Systems.
ECIR (2)
Xiana Carrera, Marcos Fernández-Pichel, David E. Losada
2026 — conf
ROMCIR 2026: Overview of the 6th Workshop on Reducing Online Misinformation Through Credible Information Retrieval.
ECIR (3)
Marcos Fernández-Pichel, Marinella Petrocchi, Kevin Roitero, Marco Viviani
2025 — conf
Analyzing Gambling Addictions: A Spanish Corpus for Understanding Pathological Behavior.
EMNLP (Findings)
Manuel Couto, Marcos Fernández-Pichel, Mario Ezra Aragón, David E. Losada
2025 J jnl
DepreSym: A Depression Symptom Annotated Corpus and the Role of Large Language Models as Assessors of Psychological Markers.
Lang. Resour. Evaluation
Anxo Pérez, Marcos Fernández-Pichel, Javier Parapar, David E. Losada
2025 J jnl
Evaluating search engines and large language models for answering health questions.
npj Digit. Medicine
Marcos Fernández-Pichel, Juan Carlos Pichel, David E. Losada
2025 A* conf
Generating Effective Health-Related Queries for Promoting Reliable Search Results.
SIGIR
Xiana Carrera, Marcos Fernández-Pichel, David E. Losada
2025 A* conf
Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy.
SIGIR
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
2025 J jnl
Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy.
CoRR
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
2024 — conf
A user study on people's perception to the credibility of online health information.
ROMCIR@ECIR
Marcos Fernández-Pichel, Markus Bink, David E. Losada, David Elsweiler
2024 J jnl
An unsupervised perplexity-based method for boilerplate removal.
Nat. Lang. Eng.
Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel, Pablo Gamallo
2024 J jnl
ChatGPT as a Solver and Grader of Programming Exams written in Spanish.
CoRR
Pablo Fernández-Saborido, Marcos Fernández-Pichel, David E. Losada
2024 — conf
DepressMind: A Depression Surveillance System for Social Media Analysis.
EACL (Demonstrations)
Roque Fernández-Iglesias, Marcos Fernández-Pichel, Mario Ezra Aragón, David E. Losada
2024 — conf
Large Language Models for Binary Health-Related Question Answering: A Zero- and Few-Shot Evaluation.
ICCS (4)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel
2024 — conf
LudoTrack: Web Mining, Search Technologies and Natural Language Processing for the Early Detection of Pathological Gambling.
RCIS Workshops
David E. Losada, Nelly Condori-Fernández, Marcos Fernández-Pichel
2024 J jnl
Personality trait analysis during the COVID-19 pandemic: a comparative study on social media.
J. Intell. Inf. Syst.
Marcos Fernández-Pichel, Mario Ezra Aragón, Julián Saborido-Patiño, David E. Losada
2024 J jnl
Search Engines, LLMs or Both? Evaluating Information Seeking Strategies for Answering Health Questions.
CoRR
Marcos Fernández-Pichel, Juan Carlos Pichel, David E. Losada
2024 J jnl
Semi-Supervised Learning in the Field of Conversational Agents and Motivational Interviewing.
Proces. del Leng. Natural
Gergana Rosenova, Marcos Fernández-Pichel, Selina Meyer, David E. Losada
2024 — conf
The Difficulty of Misinformation Labelling: A Case Study for Radon Gas-Related Searches.
SEPLN Posters
Noel Pascual-Presa, Marcos Fernández-Pichel, David Enrique Losada, Berta García-Orosa, Paula Martínez-Graña, Lucía Ortigueira-Piñeiro
2023 J jnl
DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers.
CoRR
Anxo Pérez, Marcos Fernández-Pichel, Javier Parapar, David E. Losada
2023 — conf
Improving the Reliability of Health Information Credibility Assessments.
ROMCIR@ECIR
Marcos Fernández-Pichel, Selina Meyer, Markus Bink, Alexander Frummet, David E. Losada, David Elsweiler
2022 J jnl
A multistage retrieval system for health-related misinformation detection.
Eng. Appl. Artif. Intell.
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel
2022 — conf
CiTIUS at the TREC 2022 Health Misinformation Track.
TREC
Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel
2022 — conf
Do We Still Need Human Assessors? Prompt-Based GPT-3 User Simulation in Conversational AI.
CUI
Selina Meyer, David Elsweiler, Bernd Ludwig, Marcos Fernández-Pichel, David E. Losada
2022 — conf
Social Minder: a Tool for Social Media Monitoring and its Use for Detecting COVID-19 Misinformation.
CIRCLE
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel
2021 — conf
CiTIUS at the TREC 2021 Health Misinformation Track.
TREC
Marcos Fernández-Pichel, Manuel de Prada Corral, David E. Losada, Juan Carlos Pichel, Pablo Gamallo
2021 — conf
Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation.
CLEF
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
2021 A* conf
Estimating the Reliability of Health-related Search Results.
SIGIR
Marcos Fernández-Pichel
2021 — conf
Reliability Prediction for Health-Related Content: A Replicability Study.
ECIR (2)
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
2020 — conf
CiTIUS at the TREC 2020 Health Misinformation Track.
TREC
Marcos Fernández-Pichel, David E. Losada, Juan Carlos Pichel, David Elsweiler
2020 — conf
eXtream: a System for Real-time Monitoring of Dynamic Web Sources.
CIRCLE
Marcos Fernández-Pichel, Rodrigo Martínez-Castaño, David E. Losada, Juan Carlos Pichel