Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Facial Expression Recognition Using Pre-trained Architectures Subject The topic of the resource CNN; facial expression recognition; FER2013; pre-trained architectures Description An account of the resource In the area of computer vision, one of the most difficult and challenging tasks is facial emotion recognition. Facial expression recognition (FER) stands out as a pivotal focus within computer vision research, with applications in various domains such as emotion analysis, mental health assessment, and humancomputer interaction. In this study, we explore the effectiveness of ensemble methods that combine pre-trained deep learning architectures, specifically AlexNet, ResNet50, and Inception V3, to enhance FER performance on the FER2013 dataset. The results from this study offer insights into the potential advantages of ensemble-based approaches for FER, demonstrating that combining pre-trained architectures can yield superior recognition outcomes. 2024 by the authors. Creator An entity primarily responsible for making the resource Reghunathan R.K.; Ramankutty V.K.; Kallingal A.; Vinod V. Source A related resource from which the described resource is derived Engineering Proceedings, Vol-62, No. 1 Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/engproc2024062022" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/engproc2024062022</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205319559&amp;doi=10.3390%2Fengproc2024062022&amp;partnerID=40&amp;md5=b88602bde0a03c9097bba9abb0a1183f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205319559&amp;doi=10.3390%2fengproc2024062022&amp;partnerID=40&amp;md5=b88602bde0a03c9097bba9abb0a1183f</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 26734591 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Reghunathan R.K., Department of Computer Science, CHRIST University, Bangalore, 560029, India; Ramankutty V.K., Department of Computer Science, CHRIST University, Bangalore, 560029, India; Kallingal A., Department of Computer Science, CHRIST University, Bangalore, 560029, India; Vinod V., Idea Elan India Pvt. Ltd., Hyderabad, 500082, India