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15th International Conference on Machine Learning and Computing

15th International Conference on Machine Learning and Computing

Zhuhai, China

Submission Deadline: Tuesday 20 Dec 2022

Conference Dates: Feb 17, 2023 - Feb 20, 2023

Research
Impact Score 0.60

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Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 0.60
Contributing Best Scientists: 4
H5-index:
Papers published by Best Scientists 5
Research Ranking (Computer Science) 1125
Research Ranking (Electronics and Electrical Engineering) 554

Conference Call for Papers

Papers are solicited on a broad range of topics, including (but not limited to):

Machine Learning
Computing
Unsupervised Learning
Meaningful Compression
Computational Theories of Learning
Big Data Visualization
Structure Discovery
Feature Elicitation
Recommender Systems
Targetted Marketing
Multitasking and Transfer Learning
Customer Segmentation
Deep learning
Supervised Learning
Image Classification
Identity Fraud Detection
Customer Retention
Diagnositics
Population Growth Prediction
Advertising Popularity Prediction
Weather Forecasting
Market Forecasting
Estimating Life Expectancy
Intelligent Search
Data Access
Statistical Learning
Reinforcement Learning
Real-time Decisions
Robot Navigation
Game AI
Skill Acquisition
Learning Tasks
Data Mining
Intelligent Systems
Complex Systems
Neural Networks and applications

Computer Modeling
Parallel Computing
Quantum Computing
High Performance Computing
Distributed and parallel systems
Cognitive Computing
Cloud Computing
Distributed Computing
Grid Computing
Embedded Computing
Scientific Computing
Scalable Computing
Human-centred Computing
Mobile computing
Simulation

Overview

Top Research Topics at International Conference on Machine Learning and Cybernetics?

  • Artificial intelligence (40.19%)
  • Pattern recognition (18.18%)
  • Data mining (13.70%)

The main points discussed in International Conference on Machine Learning and Cybernetics deals with Artificial intelligence, Pattern recognition, Data mining, Algorithm and Control theory. Artificial intelligence research featured in the event incorporates concerns from various other topics such as Machine learning and Computer vision. The Computer vision research presented places emphasis on topics like Image segmentation, Pixel and Image processing.

Contextual image classification, Feature (computer vision) and Cluster analysis are some topics wherein Pattern recognition research discussed in the conference have an impact. The Data mining works, particularly on Rough set are tackled in the conference. The event focused on Algorithm research but expanded to cover Mathematical optimization.

It tackles issues in Control theory, particularly in the topics of Control theory, Fuzzy control system, Control system, Nonlinear system and Adaptive control. In International Conference on Machine Learning and Cybernetics, researchers investigate the Fuzzy control system study as part of research in the field of Fuzzy logic. Artificial neural network research is the primary subject tackled in the conference with a focus on Backpropagation.

What are the most cited papers published at the conference?

  • Particle swarm optimization for traveling salesman problem (319 citations)
  • Smart home research (223 citations)
  • On the convergence analysis and parameter selection in particle swarm optimization (216 citations)

Research areas of the most cited articles at International Conference on Machine Learning and Cybernetics:

The most cited articles cover a variety of subjects, including Artificial intelligence, Pattern recognition, Computer vision, Data mining and Feature extraction. The conference papers link adjacent topics like Artificial intelligence with Machine learning. Aside from discussions in Pattern recognition, the published papers also deal with the subject of Algorithm which intersects with Mathematical optimization disciplines.

What topics the last edition of the conference is best known for?

  • Artificial intelligence
  • Statistics
  • Operating system

The previous edition focused in particular on these issues:

The conference primarily tackles Artificial intelligence, Pattern recognition, Feature extraction, Algorithm and Computer vision. International Conference on Machine Learning and Cybernetics focuses on Artificial intelligence but the discussions also offer insight into other areas such as Machine learning and Natural language processing. The study on Pattern recognition presented is investigated in conjunction with research in Feature (computer vision).

The presented Feature extraction research focuses mostly on Principal component analysis and, on occasion, topics in Polynomial kernel. The overlapping concepts between Data modeling and Data mining are the key highlights of Algorithm study. While the event focused on Algorithm design, it was also able to explore topics like Linear programming and Fuzzy logic.

The most cited articles from the last conference are:

  • Forecasting of ionospheric vertical total electron content (TEC) using LSTM networks (19 citations)
  • Application of deep learning and unmanned aerial vehicle technology in traffic flow monitoring (16 citations)
  • Decision tree learning based feature evaluation and selection for image classification (11 citations)

Papers citation over time

A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Research.com

The top authors publishing at International Conference on Machine Learning and Cybernetics (based on the number of publications) are:

  • Wing W. Y. Ng (64 papers) published 1 paper at the last edition, 1 less than at the previous edition,
  • Daniel S. Yeung (56 papers) absent at the last edition,
  • Patrick P. K. Chan (52 papers) absent at the last edition,
  • Shyi-Ming Chen (47 papers) absent at the last edition,
  • Jiqing Qiu (30 papers) absent at the last edition.

The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at International Conference on Machine Learning and Cybernetics (based on the number of publications) are:

  • Hebei University of Science and Technology (301 papers) absent at the last edition,
  • Hebei University (241 papers) published 4 papers at the last edition, 1 less than at the previous edition,
  • South China University of Technology (238 papers) published 3 papers at the last edition, 6 less than at the previous edition,
  • North China Electric Power University (130 papers) absent at the last edition,
  • Harbin Institute of Technology (114 papers) published 3 papers at the last edition, 3 less than at the previous edition.

The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.

Research.com

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

Research.com

During the most recent 2017 edition, 2.13% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.30% were posted by at least one author from the top 10 institutions publishing at the conference. Another 7.61% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.39% of all publications and 58.70% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.

Research.com

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

Research.com

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

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Previous Editions

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