Marcos Fernández-Pichel

About Marcos Fernández-Pichel

Marcos Fernández-Pichel, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Universidad de Santiago de Compostela, specializes in the field of IR, Machine Learning, NLP.

His recent articles reflect a diverse array of research interests and contributions to the field:

DepressMind: A Depression Surveillance System for Social Media Analysis

Personality trait analysis during the COVID-19 pandemic: a comparative study on social media

LudoTrack: Web Mining, Search Technologies and Natural Language Processing for the Early Detection of Pathological Gambling

A user study on people’s perception to the credibility of online health information

An unsupervised perplexity-based method for boilerplate removal

DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers

Improving the reliability of health information credibility assessments

A multistage retrieval system for health-related misinformation detection

Marcos Fernández-Pichel Information

University

Position

PhD student

Citations(all)

64

Citations(since 2020)

64

Cited By

0

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

2

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Marcos Fernández-Pichel Skills & Research Interests

IR

Machine Learning

NLP

Top articles of Marcos Fernández-Pichel

DepressMind: A Depression Surveillance System for Social Media Analysis

2024/3

Personality trait analysis during the COVID-19 pandemic: a comparative study on social media

Journal of Intelligent Information Systems

2024/2

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

LudoTrack: Web Mining, Search Technologies and Natural Language Processing for the Early Detection of Pathological Gambling

2024

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

A user study on people’s perception to the credibility of online health information

2024

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

An unsupervised perplexity-based method for boilerplate removal

Natural Language Engineering

2024/1

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

Pablo Gamallo
Pablo Gamallo

H-Index: 18

DepreSym: A Depression Symptom Annotated Corpus and the Role of LLMs as Assessors of Psychological Markers

arXiv preprint arXiv:2308.10758

2023/8/21

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

Javier Parapar
Javier Parapar

H-Index: 16

Improving the reliability of health information credibility assessments

Proceedings of ROMCIR

2023

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

Selina Meyer
Selina Meyer

H-Index: 1

Alexander Frummet
Alexander Frummet

H-Index: 1

A multistage retrieval system for health-related misinformation detection

Engineering Applications of Artificial Intelligence

2022/10/1

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

Do we still need human assessors? prompt-based gpt-3 user simulation in conversational ai

2022/7/26

CiTIUS at the TREC 2021 Health Misinformation Track

2022/2

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

David E. Losada
David E. Losada

H-Index: 15

Pablo Gamallo
Pablo Gamallo

H-Index: 18

Social Minder: a Tool for Social Media Monitoring and its Use for Detecting COVID-19 Misinformation.

2022

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

Juan Carlos Pichel
Juan Carlos Pichel

H-Index: 9

Estimating the Reliability of Health-related Search Results

2021/7/11

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

CiTIUS at the TREC 2020 Health Misinformation Track

2020

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

Juan Carlos Pichel
Juan Carlos Pichel

H-Index: 9

Reliability Prediction for Health-related Content: A Replicability Study

2021

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

Comparing traditional and neural approaches for detecting health-related misinformation

2021

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

Colaboración entre docentes de una universidad alemana y una española para el desarrollo de seminarios prácticos acerca de la credibilidad de la información

2021

Marcos Fernández-Pichel
Marcos Fernández-Pichel

H-Index: 0

eXtream: a System for Real-time Monitoring of Dynamic Web Sources.

2020

See List of Professors in Marcos Fernández-Pichel University(Universidad de Santiago de Compostela)

Co-Authors

academic-engine