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Offloading machine learning to programmable data planes: A systematic survey
The demand for machine learning (ML) has increased significantly in recent decades,
enabling several applications, such as speech recognition, computer vision, and …
enabling several applications, such as speech recognition, computer vision, and …
An empirical review of automated machine learning
In recent years, Automated Machine Learning (AutoML) has become increasingly important
in Computer Science due to the valuable potential it offers. This is testified by the high …
in Computer Science due to the valuable potential it offers. This is testified by the high …
Dual-interactive fusion for code-mixed deep representation learning in tag recommendation
Automatic tagging on software information sites is a tag recommendation service. It aims to
recommend content-based tags for a software object to help developers make distinctions …
recommend content-based tags for a software object to help developers make distinctions …
Building ontology-driven tutoring models for intelligent tutoring systems using data mining
Pedagogical (Tutor or Tutoring) Models are an important element of Intelligent Tutoring
Systems (ITS) and they can be described by sets of (tutoring) rules. The implementation of a …
Systems (ITS) and they can be described by sets of (tutoring) rules. The implementation of a …
Explainable multi-task convolutional neural network framework for electronic petition tag recommendation
Electronic petition (e-petition) is an electronic government (e-government) service that
allows citizens to file petitions to governments via the internet. The complexity of the e …
allows citizens to file petitions to governments via the internet. The complexity of the e …
A data-driven approach for Twitter hashtag recommendation
This paper addresses the hashtag recommendation problem using high average-utility
pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for …
pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for …
Graph neural network for tag ranking in tag-enhanced video recommendation
In tag-enhanced video recommendation systems, videos are attached with some tags that
highlight the contents of videos from different aspects. Tag ranking in such recommendation …
highlight the contents of videos from different aspects. Tag ranking in such recommendation …
Hierarchical attention model for personalized tag recommendation
With the development of Web‐based social networks, many personalized tag
recommendation approaches based on multi‐information have been proposed. Due to the …
recommendation approaches based on multi‐information have been proposed. Due to the …
Automated social text annotation with joint multilabel attention networks
Automated social text annotation is the task of suggesting a set of tags for shared documents
on social media platforms. The automated annotation process can reduce users' cognitive …
on social media platforms. The automated annotation process can reduce users' cognitive …
Textual tag recommendation with multi-tag topical attention
Tagging can be regarded as the action of connecting relevant user-defined keywords to an
item, indirectly improving the quality of the information retrieval services that rely on tags as …
item, indirectly improving the quality of the information retrieval services that rely on tags as …