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Introduction

Artificial Intelligence (AI) has been applied successfully to many fields such as data analysis, finance, multimedia, signal and image processing, web technologies, robotics, and automations, etc. Machine learning, as a major technology behind AI, is changing the world rapidly by deploying varied algorithms. For example, artificial neural networks, especially those for deep learning, are implemented in real world such as the GPU computations owing to the maturity of high-speed and parallel architecture. The latter is also becoming a promising research field for further explorations. Many researches of machine learning are inspired by the developments of computational intelligence. How machine learning can be contributed to varied applications related to intelligence is the main focus of this special session. The methodologies of machine learning may include mathematical or statistical foundations, algorithms, architectures, and uncertainty issues. As for applications of machine learning, we look forward to including researches or implementations in varied fields which are emerged to intelligence and automation. For future trends of machine learning, we encourage authors to propose their innovative ideas and concepts. We offer an opportunity for researchers and practitioners to identify new promising research directions as well as to publish recent advances in this area.

Call for paper

Important date

2017-03-01
Draft paper submission deadline
2017-04-15
Draft paper acceptance notification

Submission Topics

The scope of the MLMAT 2017 includes, but is not limited to the following topics:

  • Algorithms of machine learning

  • Mathematical foundations of machine learning

  • Machine learning based on probability and statistics

  • Classifications based on machine learning

  • Supervised learning and non-supervised learning

  • Machine learning based on rough sets or fuzzy set theory

  • Methodologies of computational intelligence

  • GPU-based parallel computation and deep learning implementations

  • Big data and machine learning

  • IoT and machine learning

  • Decision making by machine learnings

  • FinTech and machine learning

  • Intelligent systems with machine learning

  • Machine learning in medicines, medical diagnosis and health care

  • Uncertainty based on machine learning

  • Impact of machine learning to AI

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Important Date
  • Conference Date

    Jul 03

    2017

    to

    Jul 05

    2017

  • Mar 01 2017

    Draft paper submission deadline

  • Apr 15 2017

    Draft Paper Acceptance Notification

  • Jul 05 2017

    Registration deadline

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Gdynia Maritime University
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