AN EVOLUTIONARY CONSTRAINED MULTI-OBJECTIVE OPTIMIZATION ALGORITHM WITH PARALLEL EVALUATION STRATEGY


Sarcasm detection using news headlines dataset

Sarcasm has been an elusive concept for humans.Due to interesting linguistic properties, sarcasm detection has gained traction of the Natural Language Processing (NLP) research community in the past few years.However, the task of predicting sarcasm in a text remains a difficult one for machines as well, and there are limited insights into what make

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"Real time analysis" of the ion density measured by the satellite DEMETER in relation with the seismic activity

This paper is related to elliot pecan tree for sale the study of the ion density recorded by the low altitude satellite DEMETER.In a first time there is an automatic search for ionospheric perturbations in the complete satellite data set of ion densities.Then perturbations due to known ionospheric phenomena (for example, solar activity) are elimina

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Self-Supervised Domain Adaptation for Computer Vision Tasks

Recent progress of self-supervised visual representation learning has achieved remarkable success on many challenging computer vision benchmarks.However, whether diegojavierfares.com these techniques can be used for domain adaptation has not been explored.In this work, we propose a generic method for self-supervised domain adaptation, using object

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Study protocol for a randomized controlled trial of in-home decluttering augmentation of group cognitive-behavioral therapy for hoarding disorder: the Joining Forces Trial

Abstract Background Cognitive behavioral therapy (CBT) is a moderately efficacious treatment for hoarding disorder (HD), with most individuals remaining symptomatic ventilationstejp after treatment.The Joining Forces Trial will evaluate whether 10 weeks of in-home decluttering can significantly augment the outcomes of group CBT.Methods A randomized

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