What we publish
IJACMI publishes original research in advanced computing and machine intelligence. We are interested in new methods, but we are just as interested in the far less glamorous work of establishing whether a method survives contact with data it was never tuned on.
We actively welcome negative results, replication studies, and papers reporting where a well-known approach fails. A field that publishes only improvements is not measuring anything. A modest gain reported honestly, with proper baselines and a real error analysis, is worth more to us than a large gain we cannot account for.
The journal is deliberately narrow. We would rather be the right home for a defined body of work than a general repository for anything computational.
- Machine learning
- Deep learning
- Natural language processing
- Computer vision
- Speech and multimodal systems
- Low-resource and Indic languages
- Graph representation learning
- Explainability and evaluation
- Intelligent and autonomous systems
- Applied AI — health, agriculture, education
- Efficient and edge computing
What you can send us
Research article
Original work with a clear contribution, full experimental detail and reproducible evaluation. Six to fifteen pages.
Replication study
An independent attempt to reproduce published results, whether or not it succeeds. We treat these as first-class contributions.
Negative result
A well-designed approach that did not work, with enough analysis to tell the reader why. Rigour matters more than outcome.
Review article
A critical survey that organises a field and identifies open problems. Not a summary of abstracts.
About WhiteField Academic Press
WhiteField Academic Press is the academic imprint of Whitefield Research and Innovation, based in Noida, India. The press publishes edited volumes and peer-reviewed research in computing and allied fields.
The publisher has no role in editorial decisions. Acceptance and rejection rest entirely with the Editor-in-Chief and the Editorial Board.