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ALBAYZIN 2018 spoken term detection evaluation: a multi-domain international evaluation in Spanish
(SpringerOpen, 2019-09-02)
[Abstract] Search on speech (SoS) is a challenging area due to the huge amount of information stored in audio and video repositories. Spoken term detection (STD) is an SoS-related task aiming to retrieve data from a speech ...
Using score distributions to compare statistical significance tests for information retrieval evaluation
(Willey, 2019-01-11)
[Abstract] Statistical significance tests can provide evidence that the observed difference in performance between two methods is not due to chance. In Information Retrieval, some studies have examined the validity and ...
Predicting pharmaceutical inkjet printing outcomes using machine learning
(Elsevier B.V., 2023)
[Abstract]: Inkjet printing has been extensively explored in recent years to produce personalised medicines due to its low cost and versatility. Pharmaceutical applications have ranged from orodispersible films to complex ...
Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction
(Elsevier, 2022-06)
[Abstract]: A memetic version between an evolutionary algorithm (differential evolution) and the local search provided by protein fragment replacements was defined for protein structure prediction. In this problem, it is ...
Search on speech from spoken queries: the Multi-domain International ALBAYZIN 2018 Query-by-Example Spoken Term Detection Evaluation
(SpringerOpen, 2019-07-19)
[Abstract] The huge amount of information stored in audio and video repositories makes search on speech (SoS) a priority area nowadays. Within SoS, Query-by-Example Spoken Term Detection (QbE STD) aims to retrieve data ...
Linear-Time Temporal Answer Set Programming
(Cambridge University Press, 2023)
[Abstract]: In this survey, we present an overview on (Modal) Temporal Logic Programming in view of its application to Knowledge Representation and Declarative Problem Solving. The syntax of this extension of logic programs ...
Automatic depression score estimation with word embedding models
(Elsevier, 2022)
[Abstract]: Depression is one of the most common mental health illnesses. The biggest obstacle lies in an efficient and early detection of the disorder. Self-report questionnaires are the instruments used by medical experts ...
Hybrid Intelligence Strategies for Identifying, Classifying and Analyzing Political Bots
(MDPI, 2021)
[Abstract] Political bots, through astroturfing and other strategies, have become important players in recent elections in several countries. This study aims to provide researchers and the citizenry with the necessary ...
Model Explanation via Support Graphs
(Cambridge Univeristy Press, 2024-02)
[Absctract]: In this note, we introduce the notion of support graph to define explanations for any model of a logic program. An explanation is an acyclic support graph that, for each true atom in the model, induces a proof ...
Variable selection in the prediction of business failure using genetic programming
(Elsevier B.V., 2024-04-08)
This study focuses on dimensionality reduction by variable selection in business failure prediction models. A new method of dimensionality reduction by variable selection using Genetic Programming is proposed, which takes ...