David E. Losada

About David E. Losada

David E. Losada, With an exceptional h-index of 27 and a recent h-index of 20 (since 2020), a distinguished researcher at Universidad de Santiago de Compostela, specializes in the field of Computer Science, Artificial Intelligence, Information Retrieval, Information Systems.

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

Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries

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

DepressMind: A Depression Surveillance System for Social Media Analysis

A Test Dataset of Offensive Malay Language by a Cyberbullying Detection Model on Instagram Using Support Vector Machine

erisk 2023: Depression, pathological gambling, and eating disorder challenges

Improving the reliability of health information credibility assessments

David E. Losada Information

University

Position

___

Citations(all)

2732

Citations(since 2020)

1790

Cited By

1461

hIndex(all)

27

hIndex(since 2020)

20

i10Index(all)

60

i10Index(since 2020)

36

Email

University Profile Page

Universidad de Santiago de Compostela

Google Scholar

View Google Scholar Profile

David E. Losada Skills & Research Interests

Computer Science

Artificial Intelligence

Information Retrieval

Information Systems

Top articles of David E. Losada

Title

Journal

Author(s)

Publication Date

Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries

Mario Aragon

Javier Parapar

David E Losada

2024/3

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

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

2024

An unsupervised perplexity-based method for boilerplate removal

Natural Language Engineering

Marcos Fernández-Pichel

Manuel Prada-Corral

David E Losada

Juan C Pichel

Pablo Gamallo

2024/1

DepressMind: A Depression Surveillance System for Social Media Analysis

Roque Fernández-Iglesias

Marcos Fernandez-Pichel

Mario Aragon

David E Losada

2024/3

A Test Dataset of Offensive Malay Language by a Cyberbullying Detection Model on Instagram Using Support Vector Machine

Nurulhuda Ismail

David Enrique Losada

Rahayu Ahmad

2023/9/13

erisk 2023: Depression, pathological gambling, and eating disorder challenges

Javier Parapar

Patricia Martín-Rodilla

David E Losada

Fabio Crestani

2023/3/16

Improving the reliability of health information credibility assessments

Proceedings of ROMCIR

Marcos Fernández-Pichel

Selina Meyer

Markus Bink

Alexander Frummet

David E Losada

...

2023

Overview of erisk 2023: Early risk prediction on the internet

Javier Parapar

Patricia Martín-Rodilla

David E Losada

Fabio Crestani

2023/9/11

Personality Trait Analysis during the COVID-19 pandemic: a Comparative Study on Social Media

Journal of Intelligent Information Systems

Marcos Fernández-Pichel

Mario Ezra Aragón

Julián Saborido-Patiño

David E Losada

2024/2

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

arXiv preprint arXiv:2308.10758

Anxo Pérez

Marcos Fernández-Pichel

Javier Parapar

David E Losada

2023/8/21

Using machine learning techniques to predict adolescents’ involvement in family conflict

Social Science Computer Review

Silvia Lopez-Larrosa

Vanesa Sánchez-Souto

David E Losada

Javier Parapar

Álvaro Barreiro

...

2023/10

DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media

Mario Aragon

Adrián Pastor López Monroy

Luis Gonzalez

David E Losada

Manuel Montes

2023/7

Real-Time Focused Extraction of Social Media Users

IEEE Access

Rodrigo Martínez-Castaáo

David E Losada

Juan C Pichel

2022/4/20

A Survey of the First Five Years of eRisk: Findings and Conclusions

Esteban A Ríssola

Javier Parapar

David E Losada

Fabio Crestani

2022/9/15

eRisk 2022: pathological gambling, depression, and eating disorder challenges

Javier Parapar

Patricia Martín-Rodilla

David E Losada

Fabio Crestani

2022/4/5

The Challenge of Early Risk Prediction on the Internet

David E Losada

Fabio Crestani

Javier Parapar

2022/9/15

A day at the races: Using best arm identification algorithms to reduce the cost of information retrieval user studies

Applied Intelligence

David E Losada

David Elsweiler

Morgan Harvey

Christoph Trattner

2022/3

Early detection of mental health disorders by social media monitoring: the first five years of the ERisk project

Fabio Crestani

David E Losada

Javier Parapar

2022/9/14

A multistage retrieval system for health-related misinformation detection

Engineering Applications of Artificial Intelligence

Marcos Fernández-Pichel

David E Losada

Juan C Pichel

2022/10/1

See List of Professors in David E. Losada University(Universidad de Santiago de Compostela)

Co-Authors

H-index: 48
Fabio Crestani

Fabio Crestani

Università della Svizzera Italiana

H-index: 39
Senen Barro Ameneiro

Senen Barro Ameneiro

Universidad de Santiago de Compostela

H-index: 23
Javier Parapar

Javier Parapar

Universidade da Coruña

H-index: 22
Alvaro Barreiro

Alvaro Barreiro

Universidade da Coruña

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