Information Retrieval Lab (IRlab)
Envíos recentes
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Explainable depression symptom detection in social media
(Springer, 2024-09)[Abstract]: Users of social platforms often perceive these sites as supportive spaces to post about their mental health issues. Those conversations contain important traces about individuals’ health risks. Recently, ... -
Editor's note
(Universidad Internacional de la Rioja, 2021)[Abstract]: Artificial Intelligence (AI) has become nowadays one of the main relevant technologies that is driven us to a new revolution, a change in society, just as well as other human inventions, such as navigation, ... -
Business failure prediction models with high and stable predictive power over time using genetic programming
(Springer, 2024)[Abstract]: This study focuses on the deterioration of the predictive power and the analysis of the predictive stability of business failure prediction models, an aspect not sufficiently analysed in previous research. ... -
Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview)
(CEUR-WS, 2024)[Abstract]: This paper presents eRisk 2024, the eighth edition of the CLEF conference’s lab dedicated to early risk detection. Since its inception, the lab has been at the forefront of developing and refining evaluation ... -
A rule-based system for explainable donor-patient matching in liver transplantation
(Open Publishing Association, 2019-09)[Abstract]: In this paper we present web-liver, a rule-based system for decision support in the medical domain, focusing on its application in a liver transplantation unit for implementing policies for donor-patient matching. ...
