This is an overview of the eleventh edition of the BioASQ challenge in t...
In this work, we examine the evaluation process for the task of detectin...
Most phenomena related to biomedical tasks are inherently complex, and i...
Semantic indexing of biomedical literature is usually done at the level ...
This paper presents an overview of the tenth edition of the BioASQ chall...
Multi-relational networks play an important role in today's world and ar...
Complex Event Recognition and Forecasting (CER/F) techniques attempt to
...
In this paper, we present Knowledge4COVID-19, a framework that aims to
s...
Clinical trials offer a fundamental opportunity to discover new treatmen...
Publicly traded companies are required to submit periodic reports with
e...
A focused crawler aims at discovering as many web pages relevant to a ta...
We propose an automaton model which is a combination of symbolic and reg...
Complex Event Recognition (CER) systems have become popular in the past ...
In this paper, we present an overview of the eighth edition of the BioAS...
Advancing the state-of-the-art in large-scale biomedical semantic indexi...
In this document, we report an analysis of the Public MeSH Note field of...
Complex Event Recognition (CER) systems detect event occurrences in stre...
Computational systems and methods are being applied to solve biological
...
The Medical Subject Headings (MeSH) thesaurus is a controlled vocabulary...
The results of the seventh edition of the BioASQ challenge are presented...
In this work, we propose a method for the automated refinement of subjec...
Biomedical researchers working on a specific disease need up-to-date and...
The buzz over the so-called "fake news" has created concerns about a
deg...
This paper proposes a method to guide tensor factorization, using class
...
Complex Event Processing (CEP) systems have appeared in abundance during...
We present a system for online probabilistic event forecasting. We assum...
We propose an automaton model which is a combination of symbolic and reg...
Online structure learning approaches, such as those stemming from Statis...
The Complex Event Recognition (CER) group is a research team, affiliated...
Logic-based event recognition systems infer occurrences of events in tim...
Systems for symbolic event recognition infer occurrences of events in ti...
Systems for symbolic event recognition accept as input a stream of
time-...
Hierarchies are frequently used for the organization of objects. Given a...
Hierarchical classification addresses the problem of classifying items i...
Symbolic event recognition systems have been successfully applied to a
v...
We present a system for recognising human activity given a symbolic
repr...