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The Impact of a Custom-Made Vocabulary Application on the Vocabulary Recognition of Iranian EFL Learners [PDF]
Research in English Language Pedagogy, 2021 Vocabulary Guru (VG) is a custom-made mobile application (app) developed based on the task model and agile methodology via qualitative needs analysis. This investigation intended to assess the impact of VG on EFL learners’vocabulary recognition.
Faramarz Kazemainy +3 more
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Model-Protected Multi-Task Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Multi-task learning (MTL) refers to the paradigm of learning multiple related tasks together. In contrast, in single-task learning (STL) each individual task is learned independently. MTL often leads to better trained models because they can leverage the commonalities among related tasks.
Jian Liang +5 more
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Task-Aware Dynamic Model Optimization for Multi-Task Learning
IEEE Access, 2023 Multi-task learning (MTL) is a field in which a deep neural network simultaneously learns knowledge from multiple tasks. However, achieving resource-efficient MTL remains challenging due to entangled network parameters across tasks and varying task ...
Sujin Choi, Hyundong Jin, Eunwoo Kim
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Responsive task modelling [PDF]
Proceedings of the 7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2015 In this paper we present a new tool for specifying task models (Responsive CTT), which can be accessed through touch-based mobile devices such as smartphones and tablets as well. The tool is Web-based and responsive in order to provide adapted user interfaces to better support the most common activities in task modelling through various types of ...
Anzalone D +3 more
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Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task
IEEE Access, 2021 The semantic segmentation (SS) task aims to create a dense classification by labeling at the pixel level each object present on images. Convolutional neural network (CNN) approaches have been widely used, and exhibited the best results in this task ...
Darwin Saire, Adin Ramirez Rivera
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BiDAF model in sentiment analysis task
Tạp chí Khoa học, 2023 Sentiment analysis is a critical job in natural language processing. Controlling and evaluating customer feedback on their goods is a task that companies are especially interested in.
Luong Thi Minh Hue
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Interface Model for Spatial Objects Monitoring Task Setting [PDF]
E3S Web of Conferences, 2020 The research is devoted to the study of human-computer interaction in the context of interaction of end users (EU) and multipurpose remote monitoring systems (MRMS) for spatial objects.
Brezhnev Ruslan V. +3 more
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Dual-Task Interference in a Simulated Driving Environment: Serial or Parallel Processing?
Frontiers in Psychology, 2021 When humans are required to perform two or more tasks concurrently, their performance declines as the tasks get closer together in time. Here, we investigated the mechanisms of this cognitive performance decline using a dual-task paradigm in a simulated ...
Mojtaba Abbas-Zadeh +3 more
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Market Forces, 2023 Apart from contributing towards GDP and employment generation, SMEs face the challenges of retaining talented employees. Besides other factors, the type of leadership, task ambiguity, and complexity affect employees’ attitudes toward work and ...
Saif-Ur-Rehaman, Abuzar Wajidi
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A term-dictionary-based technology for selecting task executors in software development projects [PDF]
Revista Română de Informatică și AutomaticăThe study proposes a technology for identifying specialists, capable of performing specific tasks within software development projects. Existing models for describing professional competencies and task requirements are analyzed, showing that current ...
Oleksii KUNGURTSEV, Radim CHORBA
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