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Feature engineering

Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work. Feature… Expand
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Constrained conditional modelDeep feature synthesisDeep learningFeature (machine learning)
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Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review
Abstract The increasing volume of user-generated content on the web has made sentiment analysis an important tool for the… Expand
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Review
2019
Review
2019
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has… Expand
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Review
2018
Review
2018
A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective
Data collection is a major bottleneck in machine learning and an active research topic in multiple communities. There are largely… Expand
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Review
2018
Review
2018
EMG Pattern Recognition in the Era of Big Data and Deep Learning
The increasing amount of data in electromyographic (EMG) signal research has greatly increased the importance of developing… Expand
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Review
2017
Review
2017
Software Vulnerability Analysis and Discovery Using Machine-Learning and Data-Mining Techniques: A Survey
Software security vulnerabilities are one of the critical issues in the realm of computer security. Due to their potential high… Expand
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Highly Cited
2014
Highly Cited
2014
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
  • W. Li, R. Zhao, Tong Xiao, X. Wang
  • IEEE Conference on Computer Vision and Pattern…
  • 2014
    • Corpus ID: 938105
Person re-identification is to match pedestrian images from disjoint camera views detected by pedestrian detectors. Challenges… Expand
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Highly Cited
2011
Highly Cited
2011
Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription
We investigate the potential of Context-Dependent Deep-Neural-Network HMMs, or CD-DNN-HMMs, from a feature-engineering… Expand
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Highly Cited
2010
Highly Cited
2010
Sentiment Analysis and Subjectivity
  • Bing Liu
  • Handbook of Natural Language Processing
  • 2010
    • Corpus ID: 13908471
An intraocular lens for implantation in an eye comprising an optic configured so that the optic can be deformed to permit the… Expand
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Highly Cited
1999
Highly Cited
1999
Feature Engineering for Text Classification
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a… Expand
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Highly Cited
1999
Highly Cited
1999
A conceptual basis for feature engineering
Abstract The gulf between the user and the developer perspectives lead to difficulties in producing successful software systems… Expand
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