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JournalISSN: 1566-2535

Information Fusion 

Elsevier BV
About: Information Fusion is an academic journal published by Elsevier BV. The journal publishes majorly in the area(s): Computer science & Artificial intelligence. It has an ISSN identifier of 1566-2535. Over the lifetime, 1768 publications have been published receiving 107330 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a taxonomy of recent contributions related to explainability of different machine learning models, including those aimed at explaining Deep Learning methods, is presented, and a second dedicated taxonomy is built and examined in detail.

2,827 citations

Journal ArticleDOI
TL;DR: A comprehensive review of the data fusion state of the art is proposed, exploring its conceptualizations, benefits, and challenging aspects, as well as existing methodologies.

1,684 citations

Journal ArticleDOI
TL;DR: This first of its kind, comprehensive literature review of the diverse field of affective computing focuses mainly on the use of audio, visual and text information for multimodal affect analysis, and outlines existing methods for fusing information from different modalities.

969 citations

Journal ArticleDOI
TL;DR: This paper reviews the varied attempts to provide a formal explanation of error diversity, including several heuristic and qualitative explanations in the literature, and introduces the idea of implicit and explicit diversity creation methods, and three dimensions along which these may be applied.

961 citations

Journal ArticleDOI
TL;DR: A general image fusion framework by combining MST and SR to simultaneously overcome the inherent defects of both the MST- and SR-based fusion methods is presented and experimental results demonstrate that the proposed fusion framework can obtain state-of-the-art performance.

952 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2023240
2022348
2021169
2020168
2019136
2018104