Listar Information Retrieval Lab (IRlab) por título
Mostrando ítems 31-37 de 37
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Revisiting Explicit Negation in Answer Set Programming
(Cambridge University Press, 2019-09)[Abstract] A common feature in Answer Set Programming is the use of a second negation, stronger than default negation and sometimes called explicit, strong or classical negation. This explicit negation is normally used in ... -
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 ... -
Software Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practice
(MDPI AG, 2020-05-07)[Abstract] The intrinsic characteristics of humanities research require technological support and software assistance that also necessarily goes through the analysis of textual narratives. When these narratives become ... -
Syntactic ASP forgetting with forks
(Elsevier, 2024-01)[Abstract]: Answer Set Programming (ASP) constitutes nowadays one of the most successful paradigms for practical Knowledge Representation and declarative problem solving. The formal analysis of ASP programs is essential ... -
Using Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classification
(M D P I AG, 2018-09-17)[Abstract] This work proposes the use of features based on the discrete wavelet transform (DWT) for dolphin species classification. These features are compared with other previously used in the literature, and the experiments ... -
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 ... -
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 ...