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Advances in Deep Learning

Deep Learning is an important methodology, which has been successfully applied in important areas, such as autonomous vehicles, natural language processing, and language translation. Much of the work in this...
Submission status
Closed

Advances in Statistical and Simulation Methods

Most articles stem from the 10th International Workshop on Simulation and Statistics, which was held in Salzburg, Austria, in September 2019. The collection includes topics from the central themes of the wor...
Submission status
Closed

AISC 2022

The topical collection AISC 2022 features selected research papers presented at AISC 2022- the international conference on Advances in Interdisciplinary Statistics and Combinatorics, held at UNC Greensboro d...
Submission status
Closed

Ecological Statistics

The field of Ecological Statistics has flourished in recent years, with international conferences with an increasing larger audience forming a wide community dedicated to the topic. New methods are constantl...
Submission status
Closed

Emerging Methods and Applications in Bio-data Science Research

The biomedical field stands on the precipice of an unprecedented data revolution. Vast and diverse bio-data sets – registry platforms, large-scale surveys, electronic medical records, and multi-omics analyse...
Submission status
Open
Submission deadline
31 July 2024

Selected Contributions from the Conference on Statistical Practice

The Conference on Statistical Practice is an annual conference that aims to bring together statistical practitioners and data scientists who engage in the application of statistics to solve real-world proble...
Submission status
Open
Submission deadline
30 July 2024

Skew normal distribution and related topics

The collection " Skew normal distribution and related topics" will include both theoretical and applied papers on the latest developments in the field of skew normal distribution, as well as other work relat...
Submission status
Open
Submission deadline
Ongoing

Statistical Machine Learning: Theory and Practice

Statistical Machine Learning has emerged as a pivotal tool, demonstrating notable efficacy in various applications such as pattern recognition, predictive analytics, and big data interpretation. Furthermore,...
Submission status
Open
Submission deadline
Ongoing

Statistics and Deep Learning

Deep Learning has emerged as a pivotal methodology, with demonstrated remarkable achievements in challenging applications such as image classification, autonomous vehicles, and natural language processing. I...
Submission status
Open
Submission deadline
Ongoing

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