Submission Deadline: Tuesday 20 Dec 2022
Conference Dates: Feb 17, 2023 - Feb 20, 2023
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.
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.
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.
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.
The top authors publishing at International Conference on Machine Learning and Cybernetics (based on the number of publications) are:
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.
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:
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.
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.
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.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Jul 18, 2023 - Jul 20, 2023
Deadline: Tuesday 20 Dec 2022
May 17, 2023 - May 19, 2023
Deadline: Friday 30 Dec 2022
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Deadline: Tuesday 20 Dec 2022
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Deadline: Sunday 25 Dec 2022
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15th International Conference on Machine Learning and Computing
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