2021 The 4th International Conference on Machine Learning and Machine Intelligence (MLMI 2021)

Conference / Summit (onsite)
Machinery & Tools Artificial Intelligence (AI) & Machine Learning (ML)

Address: Hangzhou Dianzi University, 115 Wenyi Rd, Wensan Road Electron Information Block, Xihu, Hangzhou, Zhejiang, China, China
Date: 17 to 19 Sep '21

Visit Event Website


Publication: 

All papers will be strictly double blind reviewed by the program committee, and accepted papers of MLMI 2021 after proper registration and presentation will be published in the International Conference Proceedings Series by ACM (ISBN: 978-1-4503-8424-7), which will be archived in the ACM Digital Library, and indexed by Ei Compendex, Scopus, etc. 


Conference Chairs :

Prof. James Tin-Yau Kwok, IEEE Fellow, Hong Kong University of Science and Technology, Hong Kong 

Prof. Jianjun Li, Hangzhou Dianzi University, China 


Program Chairs :

Prof. Jie Lu, IEEE Fellow, University of Technology Sydney, Australia 

Prof. Jianhua Zhang, Oslo Metropolitan University, Norway 

Prof. Haitao Zhao, East China University of Science and Technology, China 


Contact: 

☞ Conference secretary: Ms. Yolanda Dong 

☏ Tel: +86-18080013977 

✉ Email: mlmi@iacsit.net  

✔ Website: http://www.mlmi.net/

2021 The 4th International Conference on Machine Learning and Machine Intelligence (MLMI 2021) will be held at Hangzhou Dianzi University, Hangzhou, China during September 17-19, 2021.

Insightful presentations, engaging discussions, vibrant networking – MLMI 2021 has it all. With leading academics on the scientific committee of the event, the program is guaranteed to address the most relevant topics in the field of machine learning and machine intelligence. It's an opportunity to source feedback on your research, to get published in conference proceedings, and to explore the beautiful city Hangzhou, China.

We encourage researchers, engineers, scientists, etc. in the domain of Machine Learning and Machine Intelligence from around the world to submit your paper via Online Submission System or to E-mail: mlmi@iacsit.net

To make sure that your submissions are received and reviewed, please submit as EARLY as possible. By submitting a paper, all authors also agree that at least one author would attend the conference. All submissions will be subjected to blind peer review organized by technical committee chairs with reviewers.

Topics of interest for submission include, but are not limited to:

- Artificial Neural Networks 
- Association Rule Learning 
- Automata, Logic and Games 
- Bayesian Networks 
- Clustering 
- Commercial Software 
- Commercial Software with Open-Source Editions
- Complex Systems 
- Computational Complexity 
- Computational Learning Theory 
- Computational Linguistics 
- Computer Animation 
- Computer Science 
- Computer System 
- Concurrent Algorithms and Data Structures 
- Data Mining | - Support Vector Machines
- Decision Tree Learning 
- Deep Learning
- Genetic Algorithms
 - Inductive Logic Programming
- Intelligent Systems
- Lambda Calculus and Types
- Logic and Proof
- Machine Learning
 - Models of Computation
- Object-Oriented Programming
- Open-Source Software
- Pattern Recognition
- Reinforcement Learning
- Representation Learning
- Similarity and Metric Learning
- Sparse Dictionary Learning
- Supervised Learning
- Unsupervised Learning

2021 The 4th International Conference on Machine Learning and Machine Intelligence (MLMI 2021) will be held at Hangzhou Dianzi University, Hangzhou, China during September 17-19, 2021.

Insightful presentations, engaging discussions, vibrant networking – MLMI 2021 has it all. With leading academics on the scientific committee of the event, the program is guaranteed to address the most relevant topics in the field of machine learning and machine intelligence. It's an opportunity to source feedback on your research, to get published in conference proceedings, and to explore the beautiful city Hangzhou, China.

We encourage researchers, engineers, scientists, etc. in the domain of Machine Learning and Machine Intelligence from around the world to submit your paper via Online Submission System or to E-mail: mlmi@iacsit.net

To make sure that your submissions are received and reviewed, please submit as EARLY as possible. By submitting a paper, all authors also agree that at least one author would attend the conference. All submissions will be subjected to blind peer review organized by technical committee chairs with reviewers.

Topics of interest for submission include, but are not limited to:

- Artificial Neural Networks 
- Association Rule Learning 
- Automata, Logic and Games 
- Bayesian Networks 
- Clustering 
- Commercial Software 
- Commercial Software with Open-Source Editions
- Complex Systems 
- Computational Complexity 
- Computational Learning Theory 
- Computational Linguistics 
- Computer Animation 
- Computer Science 
- Computer System 
- Concurrent Algorithms and Data Structures 
- Data Mining | - Support Vector Machines
- Decision Tree Learning 
- Deep Learning
- Genetic Algorithms
 - Inductive Logic Programming
- Intelligent Systems
- Lambda Calculus and Types
- Logic and Proof
- Machine Learning
 - Models of Computation
- Object-Oriented Programming
- Open-Source Software
- Pattern Recognition
- Reinforcement Learning
- Representation Learning
- Similarity and Metric Learning
- Sparse Dictionary Learning
- Supervised Learning
- Unsupervised Learning

Dapeng Wu

IEEE Fellow

Huan Liu

IEEE Fellow & ACM Fellow

Lei Chen

IEEE Fellow

IConf

Media Partner

Dapeng Wu

IEEE Fellow

Huan Liu

IEEE Fellow & ACM Fellow

Lei Chen

IEEE Fellow

IConf

Media Partner

Venue

Hangzhou Dianzi University

Organizer

International Association of Computer Science & Information Technology

Venue

Hangzhou Dianzi University

Organizer

International Association of Computer Science & Information Technology

Copyright © 2021 Industry Events. All rights reserved. Site credit.