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Machine Learning with Applications is a peer-reviewed journal published by Elsevier, covering Anomaly Detection Techniques and Applications, Imbalanced Data Classification Techniques, Topic Modeling.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Machine Learning with Applications 12 (2023) 45–58.
Formats any DOI in Machine Learning with Applications style. No sign-up. |
| Publishes research in | Anomaly Detection Techniques and Applications Imbalanced Data Classification Techniques Topic Modeling Stock Market Forecasting Methods Advanced Neural Network Applications |
| ISSN | 2666-8270 |
| Citation impact (2-yr) | 4.86 |
| h-index | 57 |
| i10-index | 255 |
| Total citations | 14,252 |
| Article processing charge | $2,200 |
| Open access | Yes |
| Top institutions publishing here | University of Toronto |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This literature review presents the History, Technology, and Applications of Natural Dialog Systems or simply chatbots. It aims to organize critical information that is a necessary background for further research activity in the field of chatbots. More specifically, while giving the historical evolution, from the generative idea to the present day, we point out possible…
Deep learning has been overwhelmingly successful in computer vision (CV), natural language processing, and video/speech recognition. In this paper, our focus is on CV. We provide a critical review of recent achievements in terms of techniques and applications. We identify eight emerging techniques, investigate their origins and updates, and finally emphasize their applications in four…
Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is getting increased speedily. There exist some researches for the computerized analysis of malignancy in skin lesion images. However, analysis of these images is…
The rapid advancement in artificial intelligence and machine learning techniques, availability of large-scale data, and increased computational capabilities of the machine opens the door to develop sophisticated methods in predicting stock price. In the meantime, easy access to investment opportunities has made the stock market more complex and volatile than ever. The world is looking…
Rainfall forecasting has gained utmost research relevance in recent times due to its complexities and persistent applications such as flood forecasting and monitoring of pollutant concentration levels, among others. Existing models use complex statistical models that are often too costly, both computationally and budgetary, or are not applied to downstream applications. Therefore, approaches that use…
