5 Best Machine Learning Journals

We’re reader-supported; we may earn a commission from links in this article.

The machine learning industry moves really quickly, so you’ll have to stay abreast of the latest research publications to keep up!

Fortunately, there are a number of great machine learning journals out there that will keep you informed on all the latest AI developments.

In this article, we’ll take a look at some of the best journals for Artificial Intelligence (AI) and machine learning. We’ll discuss what each journal is about, and list some of its key features!

So without further ado, let’s get started!

What Are The Best Machine Learning Journals?

A good machine learning journal will have certain characteristics such as:

  • A strong editorial board and peer review process.
  • Well-funded – so that it can continue to publish high-quality research.
  • Covers a wide range of topics in machine learning, from theoretical papers to case studies.
  • Published by a reputable publisher, such as MIT Press or Springer.

1. IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Pattern Analysis and Machine Intelligence is a highly respected journal in the field of artificial intelligence.

This international journal places clear emphasis on machine learning for pattern analysis.

For specifically, it seeks to include papers on artificial intelligence in the topics of:

  • Techniques for visual search
  • Document and handwriting analysis
  • Medical image analysis
  • Video and image sequence analysis
  • Content-based retrieval of image and video
  • Face and gesture recognition
  • Relevant specialized hardware and/or software architecture

It covers a wide range of topics, from theoretical papers to case studies. The editorial board is made up of leading researchers in the field, and the journal has a strong peer review process.

Key Features:

  • A strong editorial board and peer review process.
  • Covers a wide range of topics in artificial intelligence and machine learning, from theoretical papers to case studies.
  • Published by IEEE, one of the most respected scientific publishers.
  • Has an impact Factor of 15.84

IEEE Transactions on Pattern Analysis and Machine Intelligence is a great journal for keeping up with the latest developments in pattern analysis and computer science.

2. Foundations and Trends® in Machine Learning

Foundations and Trends in Machine Learning is a relatively new journal, but it’s already made a big impact in the field of artificial intelligence.

It’s published by Now Publishers and covers a wide range of topics in machine learning research including Natural Language Processing (NLP), intelligent systems, and even exploratory developments in data science.

The editorial board is made up of leading researchers, and the journal has a strong peer review process.

Key Features:

  • A strong editorial board and peer review process.
  • Covers a wide range of topics in machine learning.
  • Published by Now Publishers, a leading independent scientific publisher.
  • Has an impact factor of 38.78.

Foundations and Trends in Machine Learning is a great journal for keeping up with the latest developments in machine learning.

If you’re looking for a journal that covers a wide range of topics in machine learning, then Foundations and Trends in Machine Learning is a great choice.

3. International Journal of Computer Vision (IJCV)

The International Journal of Computer Vision (IJCV) is a journal that covers all aspects of computer vision.

The journal publishes high-quality research papers on all topics related to computer vision, including image and video analysis, motion estimation, object recognition, and tracking, stereo vision, medical imaging, robotics, pattern recognition, and machine learning.

As the journal is highlight focused on computer vision, it publishes articles related to image understanding only.

The international journal is published by Springer, a well-known publisher.

Key Features:

  • Focus on all aspects of computer vision
  • High-quality research papers
  • Publishes articles on computer vision from all over the world
  • Has an impact factor of 11.54.

4. IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

The IEEE Transactions on Neural Networks and Learning Systems (TNNLS) is an international journal that covers all aspects of neural networks and machine learning research.

It looks to study the development and cognition in natural and artificial learning systems, drawing the similarities and applying it to robotics research.

As it covers topics on Neural Networks, you can expect more scholarly articles on cognitive science and its application in Artificial Intelligence (AI) and the like.

It publishes high-quality, original research papers in both theory and application. The journal also features special issues on timely topics.

Such neural networks are commonly used in AI art generators or AI story generators of today.

Key features:

  • Publishes high-quality, original research papers in both theory and applications
  • Wide range of topics covered, including machine learning algorithms, data mining, pattern recognition, and more
  • Interdisciplinary approach – papers come from a variety of fields, such as computer science, statistics, mathematics, and engineering
  • Has an impact factor of 14.26.

5. IEEE Transactions on Fuzzy Systems

IEEE Transactions on Fuzzy Systems is an international journal with a quarterly publication that covers the theory and applications of fuzzy logic systems. The journal publishes original research articles, surveys, tutorial papers, and technical notes.

This journal boasts lots of significant technical knowledge on the topics of exploratory developments in fuzzy systems, specifically related to artificial intelligence applications in engineering systems and scientific applications.

More than just developing fuzzy systems, it also welcomes contributions from cross-disciplines including cognitive systems and robotics research.

It also contains a letters section which includes information of current interest, comments, and rebuttals submitted in connection with published papers. 

Key features:

  • Covers theory and applications of fuzzy logic systems
  • Publishes original research articles, surveys, tutorial papers, and technical notes
  • Has an impact factor of 12.029.

Final Thoughts

These are just a few of the greatest machine learning journals to follow!

If you’re hoping to publish your articles in them, I wish you the best of luck!

These are rather competitive machine learning journals that only accept high-quality scholarly articles, so be sure to only present your most cutting-edge machine learning techniques and artificial intelligence research!

If you’re into lots of theory, IEEE Transactions on Fuzzy Systems is a great journal for you.

If you’re looking for more practical applications, then IEEE Transactions on Neural Networks and Learning Systems might be a better choice.

Thanks for reading!

By the way, if you’re into finding the best data science IDEs, click here, if you’re interested in data science, stick around on this blog as I’ve many articles like this one 🙂

Justin Chia

Justin is the founder and author of Justjooz. He is a Nanyang Technological University (NTU) alumni and a former data analyst.

Now, Justin runs the Justjooz blog full-time, hoping to share his deep knowledge of business, tech, web3, and analytics with others.

To unwind, Justin enjoys gaming and reading.

Similar Posts